WEBVTT - Financial Products for Hedging with Vest Co-Founder Jeff Chang

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Masters in

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<v Speaker 1>Business with Barry Ritholtz on Bloomberg Radio.

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<v Speaker 2>On the latest Masters in Business podcast, I sit down

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<v Speaker 2>with Jeff Chang. He's co founder and president of vest.

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<v Speaker 2>They are a firm that specializes in defined outcome investing

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<v Speaker 2>buffered ETFs. They try and remove the uncertainty of outcomes

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<v Speaker 2>of your investing by using options and derivatives to come

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<v Speaker 2>up with very very specific products. I thought our conversation

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<v Speaker 2>was fascinating and I think you will also with no

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<v Speaker 2>further ado, my podcast with Jeff Chang. Jeff Chang, Welcome

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<v Speaker 2>to Bloomberg.

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<v Speaker 3>Great to be here and thanks for having me.

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<v Speaker 2>Well, thank you so much for coming. I'm kind of

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<v Speaker 2>always fascinated by people who have unusual or diverse backgrounds.

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<v Speaker 2>You in particular US Naval Academy and then an NBA

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<v Speaker 2>from Georgetown. Is that right? What was the original career plan?

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<v Speaker 3>So I grew up in Annapolis.

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<v Speaker 4>The original career plan was to be, you know, be

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<v Speaker 4>part of the Navy, and unfortunately I got medically discharged

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<v Speaker 4>for asthma and then then decided to pursue more of

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<v Speaker 4>a business path. And that's what kind of led me

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<v Speaker 4>to Georgetown, and then after Georgetown, I actually right after

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<v Speaker 4>I actually always wanted to start my own company. Right.

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<v Speaker 4>In fact, this is kind of a funny thing. Most

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<v Speaker 4>people don't know this. I've never actually said this when

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<v Speaker 4>I first started. I actually started a flat screen TV

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<v Speaker 4>company in twenty twelve, oem ing them from China. And

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<v Speaker 4>do you remember back in the day, like flat screen

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<v Speaker 4>TV's used to be like twenty five.

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<v Speaker 2>Oh yeah, when they first came out, they were crazy.

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<v Speaker 4>Yeah, So I was in DC selling those. In fact,

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<v Speaker 4>I remember selling TVs to Reagan National Airport. So when

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<v Speaker 4>you like, look at what terminal you are back in

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<v Speaker 4>the early two thousands, So those were Jeff Chang TVs

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<v Speaker 4>that were there. I think another client was six Flags.

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<v Speaker 4>Like when you the weak, how long the week?

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<v Speaker 3>Yeah, yeah, exactly exactly.

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<v Speaker 4>But then, you know, as TVs became further and further down,

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<v Speaker 4>I was like, hey, that's not.

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<v Speaker 3>The business I wanted to be in.

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<v Speaker 2>We'll commoditized. I don't want to be there.

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<v Speaker 4>Yeah, all commoditized. So it taught me a lot about

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<v Speaker 4>uh starting a business. On you know that in about

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<v Speaker 4>life is that I realized that I needed actual hard

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<v Speaker 4>skills that created a you know, value add And also

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<v Speaker 4>the other component was I also realized that doing my

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<v Speaker 4>accounting books, I didn't pay too much attention in accounting.

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<v Speaker 4>So I actually, uh, for six months, went and studied

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<v Speaker 4>for the CPA exam and took the CPA exam to

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<v Speaker 4>be accounting.

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<v Speaker 3>Which was actually a twofold kind of reason.

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<v Speaker 4>I think one of my mentors has told me is

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<v Speaker 4>that like, hey, there there is for the better word,

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<v Speaker 4>there's few money and few skills. Right, you don't have

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<v Speaker 4>that money, so make sure you build skills in which

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<v Speaker 4>you're not always beholden to other people. And if you

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<v Speaker 4>thought about it, that you know the two guaranteed things

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<v Speaker 4>in life is death and taxes, right, And so in

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<v Speaker 4>my head was I didn't want to be an undertaker,

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<v Speaker 4>but I could take the CPA exam and sure that

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<v Speaker 4>participate in taxes exactly exactly growth industry. So that was

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<v Speaker 4>the reason why I took the CPA exam, was that, like, hey,

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<v Speaker 4>I know I would never starve because you know, after

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<v Speaker 4>the failure of my first firm, I was like, hey, uh,

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<v Speaker 4>there's you always have to have at least a safety night.

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<v Speaker 4>And that also informed me that when I started a

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<v Speaker 4>new company, accounting is actually extremely important when you're starting

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<v Speaker 4>a firm or even a start for that matter, And

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<v Speaker 4>it actually came to pass that that has been a

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<v Speaker 4>very very important part of my career path as well.

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<v Speaker 2>So it's certainly a useful set of skills. But I'm

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<v Speaker 2>going to assume the first business didn't fail because of

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<v Speaker 2>bad accounting. It's just a hyper competitive market with razor

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<v Speaker 2>thin margins and as stuff as economies of scale came out,

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<v Speaker 2>that's right, the market just dies for that.

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<v Speaker 4>Yeah, And that really informed me is that you have

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<v Speaker 4>to have an edge.

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<v Speaker 3>I think.

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<v Speaker 4>Over the thirteen years of founding this company, I noticed

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<v Speaker 4>that there were actually key features that I noticed, even

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<v Speaker 4>going through y Combinator, of my classmates and people that

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<v Speaker 4>built very successful companies, they had very common characteristics for

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<v Speaker 4>their success.

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<v Speaker 1>Right.

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<v Speaker 4>In fact, I had Asian parents. They optimized for intelligence,

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<v Speaker 4>which was very u you know, you guess trade as

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<v Speaker 4>you play the violin or the piano, and you kind

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<v Speaker 4>of go through that.

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<v Speaker 2>They're optimizing for Ivy League admission is what you're.

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<v Speaker 4>Imploying exactly exactly, and or be a doctor for that matter.

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<v Speaker 2>It's so different Jewish.

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<v Speaker 3>Parents, Yeah, exactly so it was.

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<v Speaker 4>And then as kind of over the years, I realized

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<v Speaker 4>that the optimization like if you know, when I have kids,

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<v Speaker 4>because you know, I don't have kids, always none that

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<v Speaker 4>I know of, but if I did, I would optimize

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<v Speaker 4>for Actually number one is grit like that, and that

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<v Speaker 4>grit is the not giving up, like like you know,

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<v Speaker 4>your company fails, what's the next thing? Like you know,

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<v Speaker 4>you pick up yourself from your bootstraps and you get

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<v Speaker 4>up and go. It's almost like the thing is like,

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<v Speaker 4>as an example, my parents didn't let me play video games, right,

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<v Speaker 4>but I realized video games actually if you introduce grit,

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<v Speaker 4>like you know, if you play Call of Duty, like

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<v Speaker 4>I was the guy that when I play Call Duty

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<v Speaker 4>in my twenties, I would buy the the headphones that

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<v Speaker 4>would let me hear whether or not someone's behind me,

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<v Speaker 4>because whatever it takes to win like that type of

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<v Speaker 4>you ever see that kid that does not want to

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<v Speaker 4>lose that like fails but then gets up and figures

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<v Speaker 4>out a way to win.

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<v Speaker 3>That is grit, And I.

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<v Speaker 2>Think resilience is more important.

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<v Speaker 4>And then the second is I realized that nothing in

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<v Speaker 4>this world can be done alone, that success requires you

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<v Speaker 4>to have partnerships, friendships, and know people that can help

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<v Speaker 4>build great things. Great things don't come by yourself, and

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<v Speaker 4>that's what I think. Second is influence, your ability to

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<v Speaker 4>let people see your dream and believe in your dream.

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<v Speaker 4>Think about this, like if you're starting a company, not

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<v Speaker 4>just selling your product requires influence. Like convincing your first investors,

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<v Speaker 4>your first employees to quit their jobs they're high paying jobs,

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<v Speaker 4>to make almost nothing and take equity.

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<v Speaker 3>That's talk about like selling a dream. That's influence.

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<v Speaker 4>Like think about you know, some of the greatest entrepreneurs

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<v Speaker 4>out there. They you know, you probably heard like Steve

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<v Speaker 4>Jobs is a reality distortion field.

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<v Speaker 2>You know what that is.

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<v Speaker 3>That's influence, right.

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<v Speaker 4>That is one of the key things I think when

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<v Speaker 4>when you're looking at business, influence is such a key

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<v Speaker 4>thing of something that required to have success because, like

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<v Speaker 4>I said, nothing in the world is done loan. This third,

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<v Speaker 4>which comes back to my point, is creativity, the ability

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<v Speaker 4>to spot things that other people don't see, right to

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<v Speaker 4>basically be to see opportunity, to see things, to combine

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<v Speaker 4>things together and have that opportunity. And then the last

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<v Speaker 4>if you combine it is intelligence. If you do all

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<v Speaker 4>four and I can give you examples that people are

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<v Speaker 4>immensely successful just with grit. And by the way, it's

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<v Speaker 4>in that order influence, uh, grit, influence creativity and last

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<v Speaker 4>as intelligence.

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<v Speaker 2>So so I want to I want to stop you

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<v Speaker 2>there for sex because I want to spend time going

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<v Speaker 2>over y combinator. I want to talk about this, but

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<v Speaker 2>before we get there, I mentioned the Naval Academy of

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<v Speaker 2>such an unusual background, talk a little bit about what

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<v Speaker 2>your experiences were like at places like Freddie Mack, the

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<v Speaker 2>World Bank FBR, and pro shares. That's such a diverse

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<v Speaker 2>set of experiences. Is what did you take away from

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<v Speaker 2>that life experience and how did that ultimately lead you

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<v Speaker 2>to launching your own.

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<v Speaker 4>From Yeah, so I could tell you one of the

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<v Speaker 4>best things about what the military teaches you is not

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<v Speaker 4>just teamwork and looking after the people next to you

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<v Speaker 4>and really making a commitment. But there's also another thing

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<v Speaker 4>is work ethic. Like I could tell you that I'm

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<v Speaker 4>a morning person. I didn't grow up a morning person,

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<v Speaker 4>but it's like five am, I'm up. And the funny

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<v Speaker 4>thing is my girlfriend's a night person. She's like, how

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<v Speaker 4>are you like sprightly at five thirty? And I was like,

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<v Speaker 4>that is actually learned behavior, right, So that was like

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<v Speaker 4>kind of the first thing of learning grit and you know,

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<v Speaker 4>tackling the day early on making your bed, things those

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<v Speaker 4>small things in life. I think it had been really

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<v Speaker 4>I say important and you know, kind of keystone in

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<v Speaker 4>that process.

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<v Speaker 3>The second is actually.

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<v Speaker 4>When I first started my first job at the World Bank,

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<v Speaker 4>after trying to start my company, I had to translate

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<v Speaker 4>energy companies in China, and I had two problems. Number

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<v Speaker 4>one was I didn't my Chinese wasn't good enough, and secondly,

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<v Speaker 4>my accounting wasn't good enough. Hence the CPA came and

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<v Speaker 4>I was like, at least I got to learn one.

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<v Speaker 4>And then I cut over to Freddie Mac. And if

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<v Speaker 4>you remember during the two thousand and two two thousand

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<v Speaker 4>and three time frames when Freddy Mack went into restatement

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<v Speaker 4>so as a certified public count and I was extremely

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<v Speaker 4>sought after at that time. So I worked at Freddy

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<v Speaker 4>Mack and I realized that I really wanted to I

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<v Speaker 4>read Liar's Poker by Michael Lewis, and I realized that I, hey,

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<v Speaker 4>I really wanted to trade mortgagees.

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<v Speaker 2>So I started to which by the way, he said,

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<v Speaker 2>he is horrified because he thought this was a portionary

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<v Speaker 2>tale and all it did was encourage more people.

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<v Speaker 4>To do totally totally reading that book really made me

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<v Speaker 4>want to be you know what he said in the

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<v Speaker 4>book big swinging right like everybody. It was just such

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<v Speaker 4>a fun story. It almost painted Wall Street in a

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<v Speaker 4>specific way, but it was just the interesting part. And

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<v Speaker 4>by the way, it also got me into reading Foobozi

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<v Speaker 4>about fixed income, about the mortgage market. And then I

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<v Speaker 4>wanted to be a trader. So, you know, I studied

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<v Speaker 4>for the CFA exam, I got my CFA charter. I

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<v Speaker 4>didn't know that would lead me to over a decade

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<v Speaker 4>of teaching CFA, but that was really fun to do

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<v Speaker 4>that and kind of give back. But so trading mortgages

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<v Speaker 4>Freddy and an FBR I got to trade during two

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<v Speaker 4>thousand and eight. I got to have a front row

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<v Speaker 4>seat to seeing the you know, Bear Stearns Lehman. You know,

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<v Speaker 4>I remember trading Repo during the September eight It's the

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<v Speaker 4>month I lost all my chest hair in one month.

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<v Speaker 4>But it was fascinating. I mean that's what I thought

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<v Speaker 4>finance was like. So then you know, later on I

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<v Speaker 4>cut over to le bonds and options. Then the flash

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<v Speaker 4>crash in twenty ten, which was, by the way, I'd

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<v Speaker 4>never seen an entire trading desk stand up within one

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<v Speaker 4>minute of everybody's like, what's going on? Uh So, yeah,

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<v Speaker 4>I got to see a lot of Wall Street in

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<v Speaker 4>my twenties and thirties. It was It was definitely a

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<v Speaker 4>formative time of understanding, you know, kind of what what

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<v Speaker 4>made capital markets take and understanding and also understanding the

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<v Speaker 4>pitfalls the hubris of finance that you know, well.

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<v Speaker 2>That has to be the big takeaway from eighth nine

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<v Speaker 2>is that markets go up and down, and if you're leveraged, exactly,

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<v Speaker 2>it's a problem. And if you're highly leveraged, it's usually

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<v Speaker 2>pretty fatal.

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<v Speaker 3>Yeah exactly.

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<v Speaker 4>And you know, and disasters are are always clear in hindsight, right,

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<v Speaker 4>And you you look back and you're looking at twenty

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<v Speaker 4>thirty percent of fault rates, you're like, what that would

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<v Speaker 4>that would have been so clear in your mind when

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<v Speaker 4>you started to look at some of the data, And

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<v Speaker 4>so that was really formative. And the other component is

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<v Speaker 4>is kind of like what Warren Buffet says, you always

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<v Speaker 4>know who's not wearing pants when the water goes out. Yeah, exactly,

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<v Speaker 4>and so I always i'd say think about, hey, if

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<v Speaker 4>the tide goes out, make sure the money we manage

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<v Speaker 4>for our clients that were we got pants on.

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<v Speaker 2>Risk management turns out to be more than just a phrase.

0:12:28.360 --> 0:12:31.000
<v Speaker 2>It's really important if you're running other people.

0:12:30.960 --> 0:12:33.800
<v Speaker 4>Exactly, and it's something that you live and breathe and

0:12:33.880 --> 0:12:38.840
<v Speaker 4>what I actually, you know a lot of our investment

0:12:38.880 --> 0:12:41.760
<v Speaker 4>processes to try to get our clients to understand that,

0:12:41.800 --> 0:12:43.840
<v Speaker 4>and you utilize kind of a lot of the tools

0:12:43.840 --> 0:12:46.679
<v Speaker 4>that we build are basically pants like, you know, when

0:12:46.679 --> 0:12:48.560
<v Speaker 4>the water goes out, and make sure that you have

0:12:48.640 --> 0:12:51.280
<v Speaker 4>something there because of uncertainty.

0:12:51.400 --> 0:12:53.880
<v Speaker 2>That's to say the very least. So let's talk a

0:12:53.880 --> 0:12:57.080
<v Speaker 2>little bit about that. You come out of this experience

0:12:57.200 --> 0:13:01.199
<v Speaker 2>on a desk through the financial crisis, you launch vest

0:13:01.240 --> 0:13:04.240
<v Speaker 2>Than twenty twelve. What was the motivator? What led you

0:13:04.320 --> 0:13:06.760
<v Speaker 2>to say, Hey, I think we could do this better.

0:13:07.240 --> 0:13:07.520
<v Speaker 3>Yeah.

0:13:07.559 --> 0:13:10.240
<v Speaker 4>So I had a very short stint at pro Shares

0:13:10.240 --> 0:13:13.480
<v Speaker 4>where I met my co founder Kuran Suit he worked

0:13:13.480 --> 0:13:17.440
<v Speaker 4>on the structuring desk at Barclays, and we talked about,

0:13:18.920 --> 0:13:21.720
<v Speaker 4>you know, like hey, let's start our own firm. And

0:13:21.760 --> 0:13:25.679
<v Speaker 4>then our first idea was going to be you know,

0:13:25.960 --> 0:13:29.880
<v Speaker 4>buffers like downside protection that we saw in the structure

0:13:29.920 --> 0:13:32.840
<v Speaker 4>note market. And by the way, this actually segued into

0:13:32.960 --> 0:13:38.000
<v Speaker 4>the mortgage crisis because in two thousand and eight, the

0:13:38.080 --> 0:13:41.280
<v Speaker 4>largest issue or structure notes was Lehman Brothers. Right like,

0:13:41.400 --> 0:13:44.640
<v Speaker 4>you have a one hundred percent protected note, and then now

0:13:44.640 --> 0:13:48.199
<v Speaker 4>you're standing in bankruptcy court. So that was a big

0:13:48.480 --> 0:13:50.560
<v Speaker 4>change in the industry. I think the structure note industry

0:13:50.559 --> 0:13:52.680
<v Speaker 4>went from one hundred and twenty billion to thirty billion

0:13:53.160 --> 0:13:55.920
<v Speaker 4>in that timeframe from after the two thousand and eight crisis.

0:13:56.000 --> 0:13:58.160
<v Speaker 2>So I'll tell you a funny story. I was a

0:13:58.200 --> 0:14:03.680
<v Speaker 2>market strategist out of brokerage firm in two to three

0:14:04.360 --> 0:14:10.360
<v Speaker 2>and we got pitched a downside protected SMA and I

0:14:10.480 --> 0:14:14.439
<v Speaker 2>was just sitting in a conference room hearing this pitch.

0:14:15.120 --> 0:14:17.960
<v Speaker 2>What are the any questions? And I didn't ask the

0:14:18.000 --> 0:14:21.240
<v Speaker 2>obvious question that I thought, which was well, great, the

0:14:21.360 --> 0:14:24.200
<v Speaker 2>NASA's down eighty one percent, where were you five years ago?

0:14:24.240 --> 0:14:27.360
<v Speaker 2>Who needs this now? But the question I asked and

0:14:27.480 --> 0:14:32.280
<v Speaker 2>got called into the Corporate Council's office for was Hey,

0:14:32.280 --> 0:14:35.720
<v Speaker 2>what about counterparty risk? How do we know that you

0:14:35.760 --> 0:14:39.320
<v Speaker 2>guys are going to be there? To make the trade good. Sir,

0:14:39.480 --> 0:14:41.600
<v Speaker 2>Lehman Brothers has been here for one hundred and eighty

0:14:41.680 --> 0:14:46.840
<v Speaker 2>nine years. It'll be here long after you're gone. I'm like, okay, No,

0:14:47.000 --> 0:14:50.400
<v Speaker 2>it's an actual risk that no one was even discussing.

0:14:50.440 --> 0:14:54.880
<v Speaker 2>It was just assumed. So it turned out that you know,

0:14:55.000 --> 0:14:57.240
<v Speaker 2>counterparty risk is is a real thing.

0:14:57.360 --> 0:14:59.000
<v Speaker 3>Oh it is. It's a very real thing.

0:14:59.120 --> 0:15:01.520
<v Speaker 2>So we're going to talk little more about Vest and

0:15:01.560 --> 0:15:04.200
<v Speaker 2>buffer funds in a moment, but I just want to

0:15:04.200 --> 0:15:06.440
<v Speaker 2>get the timing right and talk a little bit about

0:15:06.480 --> 0:15:10.320
<v Speaker 2>your experiences at y Combinator. You launch Vest with your

0:15:10.360 --> 0:15:15.360
<v Speaker 2>co founder in twenty twelve, you join y Combinator in

0:15:15.520 --> 0:15:20.040
<v Speaker 2>twenty fifteen. What led you to saying, Hey, let's let's

0:15:20.080 --> 0:15:22.360
<v Speaker 2>see if we can hook up with the guys over

0:15:22.400 --> 0:15:23.400
<v Speaker 2>at y Combinator.

0:15:24.120 --> 0:15:24.360
<v Speaker 3>Yeah.

0:15:24.400 --> 0:15:27.760
<v Speaker 4>So that's the thing in finance is there's not too

0:15:27.840 --> 0:15:31.800
<v Speaker 4>much innovation, right because there's a lot of regulation and

0:15:31.840 --> 0:15:34.280
<v Speaker 4>so on and so forth. And so even at our company,

0:15:34.360 --> 0:15:37.320
<v Speaker 4>we we always even our identity today is still you know,

0:15:37.400 --> 0:15:40.200
<v Speaker 4>Silicon Valley meets Wall Street, Right. I always think that, like,

0:15:40.240 --> 0:15:44.520
<v Speaker 4>in my mind, if you know, someone in Silicon Valley

0:15:44.520 --> 0:15:46.400
<v Speaker 4>were to come into our business, they could end up

0:15:46.400 --> 0:15:49.960
<v Speaker 4>in jail, right or if Wall Street ends up in

0:15:51.000 --> 0:15:55.240
<v Speaker 4>Silicon Valley, you know, yeah you might be you know,

0:15:55.360 --> 0:15:57.360
<v Speaker 4>just end up in a dish because you know you'll

0:15:57.600 --> 0:15:58.360
<v Speaker 4>run over for sure.

0:15:58.480 --> 0:15:59.120
<v Speaker 3>Yeah, exactly.

0:15:59.120 --> 0:16:00.640
<v Speaker 4>Because at the end of the day, is you know,

0:16:00.680 --> 0:16:05.120
<v Speaker 4>we went four years with no income. Wow, right, like

0:16:05.480 --> 0:16:07.560
<v Speaker 4>lived off our Wall Street bonuses me and my co

0:16:07.640 --> 0:16:10.840
<v Speaker 4>founder Cronzu, Like we didn't get paid for you know,

0:16:10.960 --> 0:16:12.520
<v Speaker 4>four plus years.

0:16:12.120 --> 0:16:13.160
<v Speaker 3>To found this company.

0:16:13.200 --> 0:16:14.920
<v Speaker 4>Like that's how much you have to the grit and

0:16:14.960 --> 0:16:18.040
<v Speaker 4>the belief in something and that culture really really I

0:16:18.040 --> 0:16:21.520
<v Speaker 4>think comes out of kind of startup kind of the

0:16:21.600 --> 0:16:25.280
<v Speaker 4>Silicon Valley area y Combinator at the time.

0:16:26.840 --> 0:16:28.760
<v Speaker 2>Run by Paul Graham is it.

0:16:29.040 --> 0:16:31.600
<v Speaker 4>Paul Graham at that was the first year Paul Graham

0:16:31.840 --> 0:16:36.120
<v Speaker 4>U stepped down and Sam Ollman when I showed Upcha

0:16:36.280 --> 0:16:41.280
<v Speaker 4>was president of y Combinator. So twenty fifteen, twenty fifteen, yeah,

0:16:41.400 --> 0:16:44.440
<v Speaker 4>Sam was president y Combinator. For the folks out there

0:16:44.440 --> 0:16:48.520
<v Speaker 4>that don't know so why see, uh you know, similar

0:16:48.600 --> 0:16:50.800
<v Speaker 4>to like a college application. You you thought an online

0:16:50.800 --> 0:16:53.120
<v Speaker 4>college application, you actually don't need a company they help

0:16:53.200 --> 0:16:57.200
<v Speaker 4>you form the firm and uh, you know, the companies

0:16:57.200 --> 0:16:59.960
<v Speaker 4>that have come out of that program. You know, Airbnb, Reddit,

0:17:00.120 --> 0:17:03.880
<v Speaker 4>coin based store dash open Ai was funded by YC Research,

0:17:03.920 --> 0:17:07.520
<v Speaker 4>So all of that, all of those firms came out

0:17:07.680 --> 0:17:11.440
<v Speaker 4>of y C. So in fact, I think I read

0:17:11.480 --> 0:17:15.960
<v Speaker 4>a book called The launch Pad which talks about y

0:17:16.080 --> 0:17:19.600
<v Speaker 4>C the companies that they're I mean, the first class

0:17:19.680 --> 0:17:24.520
<v Speaker 4>of YC included Sam Altman, Justin Kahn who found a Twitch,

0:17:24.640 --> 0:17:26.880
<v Speaker 4>and Alexis O'Hannon who founded Reddit. And I think there

0:17:26.960 --> 0:17:31.000
<v Speaker 4>was like, correct, my maybe nine companies. I mean, that's

0:17:31.040 --> 0:17:35.120
<v Speaker 4>an all star cast if you ask me for a class.

0:17:35.960 --> 0:17:38.800
<v Speaker 4>And so it was definitely someplace that we wanted to

0:17:39.000 --> 0:17:42.560
<v Speaker 4>be around. There weren't a lot of finance firms. In fact,

0:17:43.520 --> 0:17:45.879
<v Speaker 4>this is the largest asset manager to merge out of

0:17:45.960 --> 0:17:48.760
<v Speaker 4>y C. Uh So it was definitely something to try

0:17:48.800 --> 0:17:53.280
<v Speaker 4>something different and really and get into the Silicon valley

0:17:53.800 --> 0:17:57.480
<v Speaker 4>and really pushed the innovation, uh within within finance.

0:17:58.000 --> 0:17:59.800
<v Speaker 2>I don't know if this is still the case, but

0:17:59.840 --> 0:18:02.439
<v Speaker 2>a couple of years ago the standard deal was something

0:18:02.640 --> 0:18:05.920
<v Speaker 2>like half a million dollars for seven percent of the company,

0:18:06.240 --> 0:18:10.639
<v Speaker 2>plus a three month program of building, iterating, pitching, et cetera.

0:18:11.119 --> 0:18:12.680
<v Speaker 2>Is that more or less sound right?

0:18:12.760 --> 0:18:15.800
<v Speaker 3>That's right, that's the deal today. Our deal was probably

0:18:15.880 --> 0:18:17.040
<v Speaker 3>close to one fifth of that.

0:18:17.359 --> 0:18:20.680
<v Speaker 2>Oh really yeah, well ten years ago, a lot of

0:18:20.680 --> 0:18:22.280
<v Speaker 2>each over the last second.

0:18:22.400 --> 0:18:26.080
<v Speaker 4>And they have done a great job. I think they

0:18:26.119 --> 0:18:32.520
<v Speaker 4>have maintained their I think the stat was since two

0:18:32.640 --> 0:18:38.320
<v Speaker 4>thy twelve, twenty percent of the super Unicorns were funded.

0:18:38.000 --> 0:18:38.800
<v Speaker 3>By Y Combinator.

0:18:38.840 --> 0:18:39.480
<v Speaker 2>Wow, that's me.

0:18:39.640 --> 0:18:42.439
<v Speaker 4>And then like second place is like three percent and

0:18:42.520 --> 0:18:43.640
<v Speaker 4>plus or something like that.

0:18:43.760 --> 0:18:46.080
<v Speaker 2>And this is like a full on boot camp where

0:18:46.160 --> 0:18:49.360
<v Speaker 2>it's three months and they are really taking you through

0:18:49.359 --> 0:18:52.320
<v Speaker 2>the process. Here's how you build a startup, here's how

0:18:52.320 --> 0:18:56.919
<v Speaker 2>you iterate. When you first joined Y see, did you

0:18:56.960 --> 0:19:01.119
<v Speaker 2>have any idea what the final product a vest was

0:19:01.160 --> 0:19:03.840
<v Speaker 2>going to be or did that experience clarify what you

0:19:03.840 --> 0:19:04.280
<v Speaker 2>want to do.

0:19:04.359 --> 0:19:05.320
<v Speaker 3>There were certain.

0:19:06.640 --> 0:19:10.440
<v Speaker 4>We went in with the idea of buffers and downside protection.

0:19:11.119 --> 0:19:13.800
<v Speaker 4>There were certain pivots as far as like, hey, what's

0:19:13.840 --> 0:19:15.720
<v Speaker 4>the best delivery vehicle to start with?

0:19:16.000 --> 0:19:17.960
<v Speaker 2>Meaning an ETF asposed to an.

0:19:17.840 --> 0:19:22.240
<v Speaker 4>S exactly exactly, But that was the foundational If you

0:19:22.280 --> 0:19:24.159
<v Speaker 4>even look at our application and our pitch, it was

0:19:24.400 --> 0:19:28.080
<v Speaker 4>exactly talking about the need for downside protection, the need

0:19:28.119 --> 0:19:31.560
<v Speaker 4>to you know, fix liquidity and credit risk and other

0:19:31.600 --> 0:19:35.119
<v Speaker 4>types of instruments. Those were kind of the foundational problems

0:19:35.160 --> 0:19:38.120
<v Speaker 4>because YC always says that, like, make something that people want,

0:19:38.560 --> 0:19:41.200
<v Speaker 4>and then don't just come up with the ideas. Start

0:19:41.200 --> 0:19:45.480
<v Speaker 4>with the problem solving your solving, and the problem needs

0:19:45.520 --> 0:19:46.480
<v Speaker 4>to be painful enough.

0:19:46.480 --> 0:19:48.960
<v Speaker 3>And so anybody out there that's ever thinking about starting.

0:19:48.800 --> 0:19:51.439
<v Speaker 4>A startup, always start with the problem first and make

0:19:51.480 --> 0:19:56.240
<v Speaker 4>sure the problem is painful enough for your customer that

0:19:56.240 --> 0:19:59.880
<v Speaker 4>that becomes you know, how you solve it can change

0:20:00.080 --> 0:20:03.680
<v Speaker 4>little bit, but the problem always existed, and we thought

0:20:03.680 --> 0:20:06.840
<v Speaker 4>that that was a noble problem to and.

0:20:08.640 --> 0:20:10.280
<v Speaker 3>Painful enough problem to seek.

0:20:10.560 --> 0:20:16.120
<v Speaker 2>That's a very customer focused approach to building a business.

0:20:16.760 --> 0:20:20.920
<v Speaker 2>I don't know if Wall Street necessarily thinks in those terms.

0:20:21.320 --> 0:20:23.840
<v Speaker 2>There tends to be an attitude of this is how

0:20:23.880 --> 0:20:26.640
<v Speaker 2>it's been, it's been successful. Why do you think you're

0:20:26.640 --> 0:20:29.440
<v Speaker 2>smarter than everybody else, smarter than the market. Like that's

0:20:29.440 --> 0:20:33.760
<v Speaker 2>a sort of pushback you've gotten and that you tend

0:20:33.840 --> 0:20:38.000
<v Speaker 2>to get when you roll out a different approach. How

0:20:38.040 --> 0:20:42.760
<v Speaker 2>has the experience been marrying the Wall Street ethos where

0:20:43.200 --> 0:20:49.159
<v Speaker 2>failure is abhorrent and the Silicon Valley mindset, which is

0:20:49.320 --> 0:20:52.439
<v Speaker 2>hey failure just gets you to the solution. It's just

0:20:52.600 --> 0:20:53.359
<v Speaker 2>one more step.

0:20:54.040 --> 0:20:56.840
<v Speaker 4>And that's where kind of the ethos of our Silicon

0:20:56.880 --> 0:20:59.840
<v Speaker 4>Valley meets Wall Street is that we live in both worlds.

0:21:00.359 --> 0:21:03.919
<v Speaker 4>Like our background me and Kuran's are Wall Street backgrounds.

0:21:04.320 --> 0:21:09.840
<v Speaker 4>That there is no move fast and break things mentality

0:21:10.280 --> 0:21:14.600
<v Speaker 4>on our Wall Street ethos, right, it is measure four

0:21:14.640 --> 0:21:18.159
<v Speaker 4>times cut once. This is people's livelihoods, their their wealth.

0:21:19.160 --> 0:21:23.320
<v Speaker 4>So that part we did not adopt, not like break

0:21:23.359 --> 0:21:26.000
<v Speaker 4>things type mentality that is not hard to.

0:21:25.960 --> 0:21:27.600
<v Speaker 2>Do that when you're highly regulated.

0:21:27.680 --> 0:21:31.080
<v Speaker 4>Its exactly exactly second is that we also realized you

0:21:31.080 --> 0:21:32.879
<v Speaker 4>can't do this alone. It's not like we're starting an

0:21:32.920 --> 0:21:34.840
<v Speaker 4>Airbnb where we can just kind of do x, y

0:21:34.880 --> 0:21:38.919
<v Speaker 4>and z. We needed partnerships. We needed like coming back

0:21:38.960 --> 0:21:41.040
<v Speaker 4>to the point of influence, like we needed people that

0:21:41.359 --> 0:21:44.480
<v Speaker 4>really could help us with innovation. Hence we actually only

0:21:44.520 --> 0:21:48.360
<v Speaker 4>have two investors. One is Seeble Global Markets Chicago Board

0:21:48.359 --> 0:21:51.879
<v Speaker 4>Option Exchange, the largest option exchange in the world, and

0:21:52.040 --> 0:21:55.399
<v Speaker 4>First Trust, one of the largest ETF providers here in

0:21:55.400 --> 0:21:59.040
<v Speaker 4>the United States that has been intricate in the ability

0:21:59.119 --> 0:22:01.480
<v Speaker 4>to shape and the industry.

0:22:02.320 --> 0:22:03.960
<v Speaker 3>Just like even with the exchange.

0:22:03.720 --> 0:22:05.680
<v Speaker 2>Wait let me roll you back. You said you only

0:22:05.720 --> 0:22:08.800
<v Speaker 2>had two investors. Now today, now today, all right, So

0:22:09.200 --> 0:22:12.560
<v Speaker 2>let's before we get there, let's let's talk about the

0:22:13.640 --> 0:22:17.880
<v Speaker 2>post y combin interor experience. So they give you barely

0:22:17.960 --> 0:22:21.080
<v Speaker 2>six figures for a small chunk of the company. They

0:22:21.119 --> 0:22:25.280
<v Speaker 2>they take you through a boot camp that teaches you

0:22:25.320 --> 0:22:28.639
<v Speaker 2>all these different things from focus on problem sovereign to

0:22:28.680 --> 0:22:34.840
<v Speaker 2>iteration to pitching. Investors who were the early investors invest so.

0:22:34.840 --> 0:22:38.480
<v Speaker 4>We had our lead coming out of y Comedy was

0:22:38.560 --> 0:22:40.679
<v Speaker 4>first Round Capital people an't familiar.

0:22:40.760 --> 0:22:44.120
<v Speaker 2>That's a great name if you're doing venture invests exactly.

0:22:44.440 --> 0:22:46.400
<v Speaker 4>They were one of the first investors in a small

0:22:46.440 --> 0:22:47.080
<v Speaker 4>company called.

0:22:47.000 --> 0:22:49.159
<v Speaker 2>Uber that worked out them.

0:22:49.200 --> 0:22:51.960
<v Speaker 3>Yeah, they got a lot of big wins there.

0:22:53.200 --> 0:22:56.480
<v Speaker 4>And after that, you know, we had kind of a

0:22:56.480 --> 0:23:00.600
<v Speaker 4>party round of a lot of different like Angels and

0:23:00.240 --> 0:23:05.000
<v Speaker 4>other smaller vcs. But after that, that's when Cibo came

0:23:05.040 --> 0:23:09.159
<v Speaker 4>in and wanted a bigger stake of the firm. But

0:23:09.200 --> 0:23:11.640
<v Speaker 4>the whole y C experience was very much like the

0:23:12.160 --> 0:23:13.960
<v Speaker 4>show Silicon Valley, right.

0:23:13.840 --> 0:23:17.080
<v Speaker 2>Which I which I just loved so great.

0:23:17.000 --> 0:23:20.000
<v Speaker 4>And to the point where like when we got to YC,

0:23:20.320 --> 0:23:23.000
<v Speaker 4>we rented a hacker house by the way. House that

0:23:23.040 --> 0:23:25.960
<v Speaker 4>we rented was called Hacker House and it was a

0:23:26.000 --> 0:23:30.440
<v Speaker 4>one story building with like three bedrooms, not enough bedrooms

0:23:30.440 --> 0:23:34.040
<v Speaker 4>for all of us that we're working there. I think

0:23:34.119 --> 0:23:36.480
<v Speaker 4>Karan had to sleep on the floor on a mattress

0:23:36.480 --> 0:23:39.320
<v Speaker 4>for three months. And by the way, this is coming

0:23:39.320 --> 0:23:42.480
<v Speaker 4>from being over a decade on Wall Street. Like we're

0:23:42.480 --> 0:23:45.199
<v Speaker 4>in house sleeping on the floor. Hey, there's nothing to

0:23:45.240 --> 0:23:47.840
<v Speaker 4>do but get this done exactly. And this is why

0:23:48.040 --> 0:23:49.960
<v Speaker 4>I say, like sometimes like if a former trader on

0:23:50.000 --> 0:23:51.679
<v Speaker 4>Wall Street ends up in Silka Valley, they may end

0:23:51.800 --> 0:23:53.439
<v Speaker 4>up in a dish because, like you have to go

0:23:53.600 --> 0:23:56.000
<v Speaker 4>four years no pay, sleep on the floor. It's not

0:23:56.119 --> 0:23:59.159
<v Speaker 4>fun where you're used to like wearing you know, suits

0:23:59.160 --> 0:24:02.520
<v Speaker 4>and loafers on Park Avenue. It's a big shock to

0:24:02.560 --> 0:24:05.720
<v Speaker 4>the system. But that's the thing is like, you know,

0:24:05.800 --> 0:24:08.120
<v Speaker 4>the same time, it's okay sleeping on the floor. It's

0:24:08.119 --> 0:24:10.760
<v Speaker 4>better than sleeping on the ground when you're in the military.

0:24:10.800 --> 0:24:14.000
<v Speaker 4>But that's the grit that you kind of go through.

0:24:14.080 --> 0:24:17.679
<v Speaker 2>Right coming up, we continue our conversation with Jeff Chang,

0:24:17.880 --> 0:24:22.560
<v Speaker 2>co founder and president of vest, talking about his experiences

0:24:22.680 --> 0:24:26.960
<v Speaker 2>at y Combinator. I'm Barry Ridults, you're listening to Masters

0:24:27.000 --> 0:24:43.200
<v Speaker 2>in Business on Bloomberg Radio. I'm Barry Ridults. You're listening

0:24:43.240 --> 0:24:47.280
<v Speaker 2>to Masters and Business on Bloomberg Radio. My extra special

0:24:47.280 --> 0:24:50.040
<v Speaker 2>guest this week is Jeff Chang. He is the co

0:24:50.160 --> 0:24:54.320
<v Speaker 2>founder and president of Vest. The firm manages fifty billion

0:24:54.440 --> 0:25:00.840
<v Speaker 2>dollars in ETFs that are described as outcome orient investing.

0:25:00.960 --> 0:25:04.280
<v Speaker 2>Some people call them buffer funds. So you have this

0:25:04.400 --> 0:25:09.840
<v Speaker 2>experience with y Combinator, any of that graduating class with you,

0:25:09.840 --> 0:25:11.480
<v Speaker 2>you're still in touch with who else were?

0:25:11.640 --> 0:25:14.880
<v Speaker 4>Yeah, so I'm not sure folks out there. No get

0:25:14.960 --> 0:25:17.640
<v Speaker 4>Lab sid was our group.

0:25:18.600 --> 0:25:20.200
<v Speaker 2>My no relationship to get Hub.

0:25:21.920 --> 0:25:24.600
<v Speaker 4>Yeah, but yeah, but get Lab was our I think

0:25:24.600 --> 0:25:28.560
<v Speaker 4>they iPod on the Nasdaq. I think over five billion

0:25:28.600 --> 0:25:31.560
<v Speaker 4>or something like that. They're doing really well. Uh, there's

0:25:31.600 --> 0:25:34.600
<v Speaker 4>the equipment share was also our our batch.

0:25:35.800 --> 0:25:36.960
<v Speaker 3>A lot a lot of a lot.

0:25:36.760 --> 0:25:40.080
<v Speaker 4>Of big winners in our And by the way, you've

0:25:40.119 --> 0:25:42.720
<v Speaker 4>probably been to college where you go into lecture hall,

0:25:42.840 --> 0:25:44.640
<v Speaker 4>right and you have your first day class the first

0:25:44.680 --> 0:25:45.159
<v Speaker 4>day of y C.

0:25:45.359 --> 0:25:46.120
<v Speaker 3>You know what they tell you.

0:25:46.520 --> 0:25:50.080
<v Speaker 4>They're like, you know, four percent of you guys in

0:25:50.160 --> 0:25:55.439
<v Speaker 4>this room will be billionaires, right, you know, no intimidation

0:25:55.520 --> 0:25:57.480
<v Speaker 4>factor By the way, that's the math, right, Like, on

0:25:57.600 --> 0:25:59.720
<v Speaker 4>average it's a four percent I think right now is

0:25:59.760 --> 0:26:02.160
<v Speaker 4>like I have to six percent Unicorn rate. But how

0:26:02.160 --> 0:26:04.480
<v Speaker 4>many classes can you go through that? Like you're like, hey,

0:26:05.040 --> 0:26:08.320
<v Speaker 4>h four to five percent of you guys are gonna

0:26:08.359 --> 0:26:11.080
<v Speaker 4>have extremely successful companies coming out of clays And by

0:26:11.080 --> 0:26:12.639
<v Speaker 4>the way, you look around, you're like, oh, man, is

0:26:12.640 --> 0:26:17.320
<v Speaker 4>that really possible? And then you blank. Thirteen years later

0:26:17.400 --> 0:26:21.480
<v Speaker 4>you're like, wow, it really did happen. Like there's incredibly

0:26:22.119 --> 0:26:25.879
<v Speaker 4>successful firms and incredibly successful when you look back, and

0:26:26.040 --> 0:26:29.200
<v Speaker 4>like even now I look at my group partners. I

0:26:29.480 --> 0:26:32.440
<v Speaker 4>look back, my group partners were incredible. I had Gary

0:26:32.520 --> 0:26:37.639
<v Speaker 4>Tann founded Initialized and also is now the president Coy combinator,

0:26:37.640 --> 0:26:41.440
<v Speaker 4>Alexis Ohanden founder Reddit, Justin con founded Twitch, Kat Melanek,

0:26:42.000 --> 0:26:45.000
<v Speaker 4>who is like an all star and marketing and pr

0:26:45.160 --> 0:26:46.960
<v Speaker 4>like I had an all star group.

0:26:47.760 --> 0:26:50.800
<v Speaker 2>Yeah, no, it definitely definitely sounds like it. We're talking

0:26:50.840 --> 0:26:55.879
<v Speaker 2>about winners, but Silicon Valley, where's losers like a badge

0:26:55.880 --> 0:26:59.879
<v Speaker 2>of pride? Yeah, Like it's hey, this is what's expected,

0:27:00.200 --> 0:27:03.240
<v Speaker 2>which is very different than the way the East Coast

0:27:03.240 --> 0:27:07.919
<v Speaker 2>tends to approach things. Tell us about that not being

0:27:08.080 --> 0:27:12.120
<v Speaker 2>afraid to fail, not being afraid to try things, iterate

0:27:12.280 --> 0:27:16.120
<v Speaker 2>and take this doesn't work, let's go with that. How

0:27:16.200 --> 0:27:19.720
<v Speaker 2>different is that experience on the West Coast than what

0:27:19.760 --> 0:27:21.600
<v Speaker 2>you experienced on Wall Street?

0:27:22.160 --> 0:27:23.200
<v Speaker 4>Yeah, I mean.

0:27:25.280 --> 0:27:29.520
<v Speaker 3>Definitely. In Silicon Valley failure is okay.

0:27:29.560 --> 0:27:32.600
<v Speaker 4>They have a saying if you're going to fail, fail fast, right,

0:27:33.960 --> 0:27:36.600
<v Speaker 4>whereas I feel like on Wall Street is like, you

0:27:36.640 --> 0:27:38.719
<v Speaker 4>don't want to fail fast, Like that's called a blow up.

0:27:39.320 --> 0:27:39.600
<v Speaker 3>Right.

0:27:40.880 --> 0:27:43.800
<v Speaker 4>So there are some parts, given the industry that we're in,

0:27:43.840 --> 0:27:47.320
<v Speaker 4>we have to ignore some of the aspects of it.

0:27:48.240 --> 0:27:50.479
<v Speaker 4>I think everything that we did, I wouldn't say was

0:27:50.880 --> 0:27:54.000
<v Speaker 4>ultimate failure, maybe not the success that we wanted, because

0:27:54.119 --> 0:27:57.040
<v Speaker 4>we wanted to make sure everything built were strong in foundation.

0:27:57.680 --> 0:27:57.840
<v Speaker 2>Right.

0:27:57.920 --> 0:28:00.920
<v Speaker 4>It would like last stand test the time, no matter

0:28:00.960 --> 0:28:05.200
<v Speaker 4>what happened. Maybe not wildly successful, but then that that's

0:28:05.200 --> 0:28:07.800
<v Speaker 4>how you pivot. So it's not necessarily failure per se,

0:28:07.880 --> 0:28:10.600
<v Speaker 4>but not the success you're looking for them pivot and

0:28:10.640 --> 0:28:12.520
<v Speaker 4>try to find other ways to deliver and how to

0:28:12.560 --> 0:28:13.600
<v Speaker 4>solve the problem better.

0:28:14.520 --> 0:28:15.840
<v Speaker 3>But I still think that.

0:28:15.840 --> 0:28:20.840
<v Speaker 4>The idea of not being afraid of failure and that

0:28:20.960 --> 0:28:24.439
<v Speaker 4>grit and the ability to you know, pick yourself up.

0:28:24.480 --> 0:28:27.480
<v Speaker 4>It's that attitude that, like, you know, this is not

0:28:27.600 --> 0:28:31.280
<v Speaker 4>the end. Failure is just the the mother of success,

0:28:31.320 --> 0:28:35.119
<v Speaker 4>and you just have to keep learning from those mistakes

0:28:35.119 --> 0:28:37.119
<v Speaker 4>because everything is a learning process. I can't tell you

0:28:37.160 --> 0:28:39.760
<v Speaker 4>one person that I know that's successful that has not failed.

0:28:40.320 --> 0:28:42.640
<v Speaker 2>No, that makes perfect sense. You know, you you don't

0:28:42.680 --> 0:28:45.240
<v Speaker 2>know what's going to work, and you don't know what's

0:28:45.280 --> 0:28:48.840
<v Speaker 2>not gonna work until you try. And if you know

0:28:48.920 --> 0:28:53.920
<v Speaker 2>the there's a story about Hey, if you're not failing occasionally,

0:28:53.960 --> 0:28:57.280
<v Speaker 2>then you're just not taking enough risk to say the

0:28:57.360 --> 0:28:59.880
<v Speaker 2>very least. All right, So so let's talk a little

0:28:59.920 --> 0:29:04.160
<v Speaker 2>bit about how this developed. You come out of Y

0:29:04.280 --> 0:29:09.480
<v Speaker 2>Combinator sometime in twenty fifteen. When did you first start

0:29:09.520 --> 0:29:11.640
<v Speaker 2>taking client assets client money?

0:29:12.600 --> 0:29:14.800
<v Speaker 3>Well, NYC, we were taking client assets.

0:29:14.840 --> 0:29:18.800
<v Speaker 4>I think we launched our first mutual fund in twenty sixteen.

0:29:18.840 --> 0:29:21.840
<v Speaker 4>It was the first buffer fund of its kind.

0:29:22.920 --> 0:29:24.400
<v Speaker 3>And then so.

0:29:24.480 --> 0:29:27.800
<v Speaker 2>Wait, let's stay with mutual funds, which have their own

0:29:28.480 --> 0:29:33.920
<v Speaker 2>complications with capital gains tax. Given what you do primarily

0:29:33.960 --> 0:29:37.880
<v Speaker 2>with derivatives and options in order to create that buffer,

0:29:38.320 --> 0:29:40.640
<v Speaker 2>how does that play out in a mutual fund wrapper?

0:29:41.240 --> 0:29:46.240
<v Speaker 4>Yeah, there are obviously challenges that may not be as

0:29:47.160 --> 0:29:50.560
<v Speaker 4>let's say, the same as like an ETF that you know.

0:29:50.600 --> 0:29:52.960
<v Speaker 4>In twenty nineteen they introduced the in kind This is

0:29:52.960 --> 0:29:56.560
<v Speaker 4>also another example of the partnership with Cibo.

0:29:57.000 --> 0:29:59.920
<v Speaker 2>It's been around for real estate for forever. It seems

0:30:00.080 --> 0:30:02.360
<v Speaker 2>that's right, and it just took Wall Street a while

0:30:02.400 --> 0:30:06.280
<v Speaker 2>to catch up to that explain what in clount incline

0:30:06.360 --> 0:30:09.160
<v Speaker 2>creation and redemption looks like, what it means to you.

0:30:09.560 --> 0:30:13.000
<v Speaker 4>So in mutual funds there's a challenge in some cases

0:30:14.080 --> 0:30:18.960
<v Speaker 4>that if there's a redemption, you would sell your securities,

0:30:18.960 --> 0:30:23.960
<v Speaker 4>which could have the potential to realize gains. In ETFs

0:30:24.400 --> 0:30:28.360
<v Speaker 4>not just unique to these ETFs or all ETFs, they

0:30:28.840 --> 0:30:30.560
<v Speaker 4>have the ability to let's say.

0:30:30.360 --> 0:30:31.160
<v Speaker 3>In kind security.

0:30:31.200 --> 0:30:33.200
<v Speaker 4>So when someone wants their money back, instead of giving

0:30:33.240 --> 0:30:37.040
<v Speaker 4>the market maker selling securities and giving them cash in

0:30:37.080 --> 0:30:41.080
<v Speaker 4>some cases, you can give them securities, thereby not potentially

0:30:41.120 --> 0:30:42.200
<v Speaker 4>realizing the gain.

0:30:42.040 --> 0:30:43.959
<v Speaker 3>For the shareholders.

0:30:44.000 --> 0:30:48.360
<v Speaker 4>So it has the potential for tax efficiency by having

0:30:48.440 --> 0:30:52.840
<v Speaker 4>inkin now. Prior to twenty nineteen. October twenty nineteen, that

0:30:53.000 --> 0:30:56.720
<v Speaker 4>was not we weren't able to do that with options

0:30:57.240 --> 0:31:00.680
<v Speaker 4>that was introduced in October twenty nineteen, we launched our

0:31:00.720 --> 0:31:05.040
<v Speaker 4>first buffer ETFs in November of twenty nineteen in partnership

0:31:05.360 --> 0:31:09.080
<v Speaker 4>with our partners at First Trust, and so that has

0:31:09.160 --> 0:31:12.320
<v Speaker 4>been one of the fastest growing areas, not just for

0:31:12.360 --> 0:31:15.360
<v Speaker 4>our firm, but as the ETF industry as a whole.

0:31:15.760 --> 0:31:18.880
<v Speaker 2>So let's talk a little bit about what a buffer

0:31:19.240 --> 0:31:22.600
<v Speaker 2>fund does, what are the advantages, what are you giving

0:31:22.680 --> 0:31:26.640
<v Speaker 2>up in order to obtain those advantages. What's the largest funds?

0:31:26.760 --> 0:31:29.920
<v Speaker 2>What's the largest ETF now at VEST.

0:31:30.320 --> 0:31:33.080
<v Speaker 4>So the largest buffer fund and the one at VES

0:31:33.280 --> 0:31:38.160
<v Speaker 4>is BUFR. And it's built Yeah, it's built on the

0:31:38.200 --> 0:31:44.000
<v Speaker 4>foundation that you know, the kind of fundamentals of the

0:31:44.040 --> 0:31:47.520
<v Speaker 4>strategy is the buffer strategy, which is, you know, let's

0:31:47.560 --> 0:31:50.880
<v Speaker 4>say you get SMP exposure for one year, the first

0:31:50.920 --> 0:31:54.080
<v Speaker 4>ten percent is protected. So as an example of strategy,

0:31:54.080 --> 0:31:56.200
<v Speaker 4>if SMP is down ten your flat for the year,

0:31:56.840 --> 0:31:58.520
<v Speaker 4>and then you get upside up to let's say a

0:31:58.560 --> 0:32:01.680
<v Speaker 4>predetermined cap. So let's say SMP is up fifteen, you're

0:32:01.720 --> 0:32:04.320
<v Speaker 4>up fifteen, but the most you can make is fifteen.

0:32:04.360 --> 0:32:08.280
<v Speaker 4>So if smps up sixteen, you're up fifteen, right, so

0:32:08.320 --> 0:32:09.640
<v Speaker 4>you're capped out at that face.

0:32:09.800 --> 0:32:13.440
<v Speaker 2>So years like twenty three and twenty four kind of unusual.

0:32:13.880 --> 0:32:17.000
<v Speaker 2>You don't usually see twenty five percent two years in

0:32:17.040 --> 0:32:20.440
<v Speaker 2>a row. But if you were in the fund in

0:32:20.480 --> 0:32:25.080
<v Speaker 2>twenty two, down twenty two percent means you're only down

0:32:25.080 --> 0:32:26.680
<v Speaker 2>twelve percent, that's right.

0:32:26.400 --> 0:32:26.800
<v Speaker 3>That's right.

0:32:26.920 --> 0:32:27.880
<v Speaker 2>So that's the trade off.

0:32:28.040 --> 0:32:30.680
<v Speaker 4>Yeah, And here's the thing is that most people don't

0:32:30.720 --> 0:32:33.600
<v Speaker 4>realize these strategies have the potential to outperform the market,

0:32:33.680 --> 0:32:36.760
<v Speaker 4>even if you're talking about you know, high double digit

0:32:37.080 --> 0:32:39.800
<v Speaker 4>equity returns. Because think about this, in twenty twenty two,

0:32:39.880 --> 0:32:42.520
<v Speaker 4>because of inflation, when interest rates went up, stocks and

0:32:42.560 --> 0:32:44.800
<v Speaker 4>bonds both went down at the same time. Right, you

0:32:44.880 --> 0:32:47.640
<v Speaker 4>could have mixed your stocks and bonds any way you wanted.

0:32:47.680 --> 0:32:51.200
<v Speaker 2>In twenty twenty two, sixty was negative exactly twenty.

0:32:51.040 --> 0:32:53.520
<v Speaker 4>And unless you were managing money forty years ago, you

0:32:53.600 --> 0:32:58.040
<v Speaker 4>had not experienced inflation, right, And you couldn't hide anywhere.

0:32:58.080 --> 0:33:01.040
<v Speaker 3>I mean, you were like Tom Brady.

0:33:00.800 --> 0:33:03.560
<v Speaker 4>Choosing between alimony and child support while taking your kids

0:33:03.680 --> 0:33:06.680
<v Speaker 4>jiu jitsu practice. Like the thing is, there was nowhere

0:33:06.720 --> 0:33:11.080
<v Speaker 4>to hide, right Whereas if you were hedging. And the

0:33:11.080 --> 0:33:13.400
<v Speaker 4>great thing about hedging is if you buy SMP and

0:33:13.400 --> 0:33:17.560
<v Speaker 4>you buy an SMP put, that put is perfectly negatively correlated.

0:33:18.880 --> 0:33:18.920
<v Speaker 2>It.

0:33:20.480 --> 0:33:24.520
<v Speaker 4>And so imagine if you had a strategy that did

0:33:24.560 --> 0:33:27.080
<v Speaker 4>not participate in the majority of the drawdowns in twenty

0:33:27.120 --> 0:33:30.240
<v Speaker 4>twenty two, that means you had more to invest to

0:33:30.280 --> 0:33:32.240
<v Speaker 4>take advantage of the games in twenty twenty three, twenty

0:33:32.280 --> 0:33:34.880
<v Speaker 4>twenty four, and twenty twenty five. This is the compounding

0:33:34.880 --> 0:33:38.520
<v Speaker 4>effect of winning without losing, right, It's the compounding effect

0:33:38.960 --> 0:33:41.960
<v Speaker 4>of playing offense and defense at the same time, because

0:33:42.000 --> 0:33:44.240
<v Speaker 4>the end of the day is a lot of times,

0:33:44.920 --> 0:33:47.320
<v Speaker 4>you know, these types of strategies are not the get

0:33:47.400 --> 0:33:50.200
<v Speaker 4>rich game. If you're twenty years old, probably not the

0:33:50.240 --> 0:33:54.040
<v Speaker 4>strategy for you. But you know, in our industry, a

0:33:54.080 --> 0:33:55.959
<v Speaker 4>lot of the people that have wealth, they're in the

0:33:56.000 --> 0:33:56.840
<v Speaker 4>stay rich game.

0:33:57.040 --> 0:33:57.280
<v Speaker 2>Right.

0:33:57.320 --> 0:33:59.640
<v Speaker 4>These types of strategies are in the stay riche game

0:33:59.640 --> 0:34:02.360
<v Speaker 4>because if if you have wealth, you just don't want

0:34:02.400 --> 0:34:05.640
<v Speaker 4>to be poor, right, So that's why that's the kind

0:34:05.680 --> 0:34:10.560
<v Speaker 4>of crux of protecting your equity exposure. And the idea

0:34:10.760 --> 0:34:14.759
<v Speaker 4>is the issue with hedging has always been that to

0:34:14.880 --> 0:34:17.040
<v Speaker 4>hedge with options and so on and so forth one

0:34:17.040 --> 0:34:20.120
<v Speaker 4>of the biggest and they had surveys on why you know,

0:34:20.880 --> 0:34:23.640
<v Speaker 4>investors and financial advisors don't hedge with options, and they

0:34:23.960 --> 0:34:29.279
<v Speaker 4>everybody said the same two things, compliance and scalability. You know,

0:34:29.320 --> 0:34:32.000
<v Speaker 4>the compliance burden associated with trading options and the scalability

0:34:32.000 --> 0:34:34.320
<v Speaker 4>because when you buy a fund, you buy a stock

0:34:34.520 --> 0:34:36.680
<v Speaker 4>you can put in your portfolio fallsey for thirty years.

0:34:36.719 --> 0:34:39.480
<v Speaker 4>Maybe you rebalance once a quarter. You buy an option

0:34:39.560 --> 0:34:41.440
<v Speaker 4>every thirty days sixty days from now you have to

0:34:41.440 --> 0:34:44.239
<v Speaker 4>trade it. By having it inside a fund, we can

0:34:44.280 --> 0:34:46.520
<v Speaker 4>trade that for you and so now you can ask

0:34:46.560 --> 0:34:49.120
<v Speaker 4>it out, Okay, rebalance once a quarter. It solves a

0:34:49.160 --> 0:34:52.239
<v Speaker 4>lot of those issues. And this is the thing that

0:34:52.320 --> 0:34:56.319
<v Speaker 4>I find very interesting is two things. Number one is

0:34:56.360 --> 0:34:58.480
<v Speaker 4>these strategies have been around for over thirty years. The

0:34:58.520 --> 0:35:01.520
<v Speaker 4>buffer structure note has been around for years. Buffer annuities,

0:35:01.520 --> 0:35:04.239
<v Speaker 4>I think were introduced in twenty ten. All we did

0:35:04.360 --> 0:35:07.360
<v Speaker 4>was cut the bank and insurance company out. Instead of

0:35:07.400 --> 0:35:10.520
<v Speaker 4>having the banker insurance company hedge themselves with options and

0:35:10.560 --> 0:35:12.920
<v Speaker 4>then issue you a policy or issue you a no,

0:35:13.360 --> 0:35:15.080
<v Speaker 4>we just said, why not just put the hedge in

0:35:15.120 --> 0:35:17.640
<v Speaker 4>a fund and now you own it. We cut the

0:35:17.680 --> 0:35:21.000
<v Speaker 4>middleman out of the middle. The other component is to

0:35:21.000 --> 0:35:25.000
<v Speaker 4>think about in business that I always look back. So

0:35:25.680 --> 0:35:28.360
<v Speaker 4>Richard Thayer, the professor at Universe Chicago won the Nobel

0:35:28.400 --> 0:35:29.960
<v Speaker 4>Prize for Behavioral finance.

0:35:30.040 --> 0:35:32.440
<v Speaker 2>Right essentially created the field.

0:35:32.560 --> 0:35:35.680
<v Speaker 4>Yeah, the nudge, And I believe one of the studies

0:35:36.080 --> 0:35:40.640
<v Speaker 4>by Cornell University had this study of I think they

0:35:40.680 --> 0:35:43.759
<v Speaker 4>had kids in the lunchline. They gave them free apples,

0:35:43.840 --> 0:35:45.319
<v Speaker 4>Like you get the end of that, you get a

0:35:45.320 --> 0:35:47.640
<v Speaker 4>free apple right by the way, the consumption was like

0:35:47.719 --> 0:35:49.719
<v Speaker 4>less than like, I don't know, twenty percent, Like it

0:35:49.760 --> 0:35:51.080
<v Speaker 4>was a very low consumption rate.

0:35:51.160 --> 0:35:52.000
<v Speaker 3>No one took the apple.

0:35:52.600 --> 0:35:55.319
<v Speaker 4>Then they cut the apples up and they put them

0:35:55.320 --> 0:35:58.240
<v Speaker 4>in little bags. By the way, the consumption went through

0:35:58.280 --> 0:36:01.120
<v Speaker 4>the roof. Why this was the nudge. This was the

0:36:01.160 --> 0:36:04.040
<v Speaker 4>idea that you make it simple, people will use it.

0:36:04.480 --> 0:36:08.400
<v Speaker 4>Think about options as apples, and then that we had

0:36:08.520 --> 0:36:11.600
<v Speaker 4>bag those apples to make it easier for the user

0:36:11.719 --> 0:36:15.400
<v Speaker 4>to consume them without the compliance and scalability burden to them.

0:36:15.440 --> 0:36:19.359
<v Speaker 4>Because theoretically any broker or any financial advisor out there

0:36:19.400 --> 0:36:22.919
<v Speaker 4>can actually trade those themselves. But that's like the same thing,

0:36:23.000 --> 0:36:24.920
<v Speaker 4>like every child could sit there and cut their own

0:36:25.000 --> 0:36:27.400
<v Speaker 4>slice their own apples, but they don't want to do that.

0:36:27.680 --> 0:36:30.080
<v Speaker 2>So let me ask you, because you've brought this up

0:36:30.120 --> 0:36:31.759
<v Speaker 2>a few times, and I want to hone in on

0:36:31.800 --> 0:36:38.440
<v Speaker 2>this is your target consumer, mom and pop mainStreet investors,

0:36:38.680 --> 0:36:43.960
<v Speaker 2>or you focused more on the advisor channel or brokerage

0:36:44.000 --> 0:36:46.240
<v Speaker 2>channel or all three some combination.

0:36:46.560 --> 0:36:50.600
<v Speaker 4>We are not that focused in the retail space mostly

0:36:51.719 --> 0:36:54.160
<v Speaker 4>and by the way, I would say one hundred percent

0:36:54.200 --> 0:36:59.600
<v Speaker 4>of our focus is in financial professionals really because those

0:36:59.640 --> 0:37:03.720
<v Speaker 4>are our partners. Those are the people that we stand

0:37:03.800 --> 0:37:06.200
<v Speaker 4>side by side with, we build products that those are

0:37:06.200 --> 0:37:10.480
<v Speaker 4>the people we're solving problems for them, which they're solving

0:37:10.520 --> 0:37:13.560
<v Speaker 4>problems for their clients. We stand side by side with

0:37:13.840 --> 0:37:18.120
<v Speaker 4>the financial professionals and manage, you know.

0:37:19.480 --> 0:37:22.080
<v Speaker 2>And once you bring them up to speed, it's it's

0:37:22.120 --> 0:37:25.879
<v Speaker 2>incumbent on them to find the clients that think are

0:37:25.880 --> 0:37:27.920
<v Speaker 2>the right fit for this, and they get to explain

0:37:28.000 --> 0:37:29.120
<v Speaker 2>that exactly.

0:37:29.120 --> 0:37:32.520
<v Speaker 4>Because every single client is different and unique. We make

0:37:33.040 --> 0:37:35.880
<v Speaker 4>products across and every client is different and how that

0:37:36.200 --> 0:37:36.880
<v Speaker 4>gets utilized.

0:37:36.880 --> 0:37:39.360
<v Speaker 3>We help the financial.

0:37:38.960 --> 0:37:43.280
<v Speaker 4>Advisor even you know, how to best build and achieve

0:37:43.360 --> 0:37:47.680
<v Speaker 4>their client's investment objectives. But as far as the end client,

0:37:47.719 --> 0:37:49.800
<v Speaker 4>that's typically not our customer.

0:37:50.280 --> 0:37:53.920
<v Speaker 2>So I mentioned sixty forty earlier. Does a buffer fund

0:37:54.200 --> 0:37:57.600
<v Speaker 2>act as a substitute for sixty forty in other words,

0:37:58.160 --> 0:38:01.920
<v Speaker 2>if you own whether it's sixty forty, seventy thirty, you

0:38:02.160 --> 0:38:05.160
<v Speaker 2>own bonds for income of which there has been a

0:38:05.160 --> 0:38:09.600
<v Speaker 2>lot over the past fifteen twenty years, but also as

0:38:09.640 --> 0:38:13.560
<v Speaker 2>a non correlated asset with equity other than eighty one

0:38:13.840 --> 0:38:18.800
<v Speaker 2>and twenty twenty two, does this and it offsets the

0:38:18.880 --> 0:38:23.920
<v Speaker 2>volatility and draw down's inequities. Do buffered funds behave similarly

0:38:23.960 --> 0:38:25.799
<v Speaker 2>to a sixty forty? Is that the thinking I.

0:38:25.760 --> 0:38:29.840
<v Speaker 4>Wouldn't say similarly. Let me give you a kind of

0:38:29.880 --> 0:38:33.120
<v Speaker 4>a how we think about it. So if you look

0:38:33.160 --> 0:38:36.160
<v Speaker 4>at let's say, a strategy of a ten percent buffer

0:38:36.200 --> 0:38:38.759
<v Speaker 4>on SMP, in fact, you know there are indexes out

0:38:38.800 --> 0:38:41.200
<v Speaker 4>there that track these. If you compare that to let's say,

0:38:43.400 --> 0:38:46.040
<v Speaker 4>like a black Rock sixty forty portfolio, actually notice that

0:38:46.040 --> 0:38:50.840
<v Speaker 4>the standard deviation is almost identical. Volatility is very similar

0:38:51.080 --> 0:38:53.520
<v Speaker 4>right over the long term, but the source of the

0:38:53.600 --> 0:38:55.080
<v Speaker 4>risk management is different.

0:38:55.400 --> 0:38:56.720
<v Speaker 3>Right you're actually hedging.

0:38:56.800 --> 0:39:00.960
<v Speaker 4>You're not hoping that the correlation between stocks and bonds,

0:39:01.000 --> 0:39:03.120
<v Speaker 4>the negative correlation is there that you know, when my

0:39:03.160 --> 0:39:05.480
<v Speaker 4>stocks go down, I hope my bonds go up kind

0:39:05.480 --> 0:39:06.520
<v Speaker 4>of situation, right.

0:39:06.400 --> 0:39:09.839
<v Speaker 2>Well, historically they do most of the time. Yeah, they

0:39:09.880 --> 0:39:13.000
<v Speaker 2>didn't in twenty twenty two, they didn't in nineteen eighty one, exactly,

0:39:13.040 --> 0:39:15.520
<v Speaker 2>you know, So it's every forty years or so we

0:39:15.560 --> 0:39:17.400
<v Speaker 2>seem to get this rork.

0:39:17.280 --> 0:39:21.120
<v Speaker 4>With inflation at you know, three percent. What happens if

0:39:21.160 --> 0:39:22.440
<v Speaker 4>inflation rears its head.

0:39:22.280 --> 0:39:26.240
<v Speaker 2>Again rising exactly, You'll end up with the same issue

0:39:26.680 --> 0:39:29.080
<v Speaker 2>the next time we see a serious exactly.

0:39:29.200 --> 0:39:32.560
<v Speaker 4>And this is why we say, why not diversify your

0:39:32.640 --> 0:39:36.360
<v Speaker 4>risk management and hedge. So if I have one hundred

0:39:36.360 --> 0:39:39.080
<v Speaker 4>dollars portfolio, and let's say I have sixty dollars in equity,

0:39:39.120 --> 0:39:41.120
<v Speaker 4>forty dollars in fixed income, and let's just say I

0:39:41.160 --> 0:39:44.280
<v Speaker 4>take ten bucks out, I put six, take six from equity,

0:39:44.280 --> 0:39:46.239
<v Speaker 4>four from fixed income, I put it into let's say

0:39:46.239 --> 0:39:49.120
<v Speaker 4>a ten percent buffer strategy in S and P. Perhaps

0:39:49.160 --> 0:39:52.200
<v Speaker 4>the standard deviation of the portfolio could be very, very similar.

0:39:52.400 --> 0:39:54.640
<v Speaker 4>But notice the source your risk management has changed. You've

0:39:54.680 --> 0:39:57.759
<v Speaker 4>introduced hedging as the source of your risk management, without

0:39:57.760 --> 0:40:03.600
<v Speaker 4>the compliance, without the trading scalability issues of options. You've

0:40:03.680 --> 0:40:07.320
<v Speaker 4>introduced hedging as the source of risk management if inflation

0:40:07.440 --> 0:40:10.840
<v Speaker 4>were toor rears its head. Because the thing is, this

0:40:10.920 --> 0:40:14.719
<v Speaker 4>is what everybody needs to ask themselves. If inflation were

0:40:14.760 --> 0:40:17.360
<v Speaker 4>to come back, right, which.

0:40:17.160 --> 0:40:19.399
<v Speaker 3>Is a very. It's not a very.

0:40:19.719 --> 0:40:23.200
<v Speaker 2>There's a non zero pity way above that.

0:40:23.280 --> 0:40:28.000
<v Speaker 4>Yeah, exactly what in your portfolio is going to save

0:40:28.120 --> 0:40:31.680
<v Speaker 4>you if twenty twenty two repeats itself. That's the question

0:40:31.719 --> 0:40:35.279
<v Speaker 4>everybody needs to ask. I always get the answer. Commodities,

0:40:35.760 --> 0:40:39.440
<v Speaker 4>great commodities. It's a timing trade, right, you can get

0:40:39.480 --> 0:40:42.760
<v Speaker 4>in it'll work. But when it's not inflationary, what happens

0:40:42.760 --> 0:40:43.480
<v Speaker 4>to that trade?

0:40:44.000 --> 0:40:45.680
<v Speaker 3>I mean, you point out.

0:40:45.480 --> 0:40:48.839
<v Speaker 2>That gold didn't do great in twenty one or twenty two.

0:40:49.360 --> 0:40:52.400
<v Speaker 2>It's only in the past few years where it's really

0:40:52.640 --> 0:40:53.520
<v Speaker 2>exploded higher.

0:40:53.600 --> 0:40:56.800
<v Speaker 4>That's right, That's right. So I'm not smart enough to

0:40:56.840 --> 0:40:59.279
<v Speaker 4>time that trade. And that's the great thing about these

0:40:59.280 --> 0:41:01.960
<v Speaker 4>types of solutions is you don't have to time the trade, right,

0:41:02.080 --> 0:41:05.719
<v Speaker 4>Like you're diversifying your risk management through just hedging. And

0:41:05.760 --> 0:41:09.560
<v Speaker 4>like I said repeated again, this is the Stayerage game, right,

0:41:09.600 --> 0:41:16.080
<v Speaker 4>how do we protect wealth, not like make exorbitant amounts

0:41:16.120 --> 0:41:20.640
<v Speaker 4>of it, but protect wealth and get a decent return

0:41:21.239 --> 0:41:22.600
<v Speaker 4>from people's wealth.

0:41:22.840 --> 0:41:26.080
<v Speaker 2>So buffer is ten percent hedged on the S and

0:41:26.080 --> 0:41:28.600
<v Speaker 2>P five hundred. Tell us about some of the other ETFs,

0:41:28.600 --> 0:41:29.359
<v Speaker 2>you guys, run.

0:41:29.400 --> 0:41:32.439
<v Speaker 4>So one of the kind of overall themes that we've

0:41:32.480 --> 0:41:34.839
<v Speaker 4>seen in the market is, you know, the two things

0:41:34.840 --> 0:41:37.960
<v Speaker 4>that really people are looking for is downside protection, but

0:41:38.000 --> 0:41:41.319
<v Speaker 4>the other one is income generation. As the boomers are

0:41:41.360 --> 0:41:45.279
<v Speaker 4>in retirement, the need for yield has really shown how

0:41:45.360 --> 0:41:47.279
<v Speaker 4>high it is. I mean, if you look at the

0:41:47.320 --> 0:41:49.600
<v Speaker 4>derivative income space, I think in twenty eighteen and the

0:41:49.680 --> 0:41:52.760
<v Speaker 4>morning Stars ranked fifty eighth last year is ranked ninth

0:41:53.160 --> 0:41:57.359
<v Speaker 4>and flows right. People are looking for income and as

0:41:57.440 --> 0:42:00.760
<v Speaker 4>volatility goes up, just like strategies like right cover calls

0:42:01.880 --> 0:42:07.080
<v Speaker 4>are extremely it's another way to derive yield by monetizing

0:42:07.160 --> 0:42:09.600
<v Speaker 4>volatility in different asset classes. You could do it in gold,

0:42:10.080 --> 0:42:11.600
<v Speaker 4>you can do it in bitcoin, you can do it

0:42:11.640 --> 0:42:14.480
<v Speaker 4>in equities, you can do it in fixed income. And

0:42:14.520 --> 0:42:17.080
<v Speaker 4>that's the thing is people were always thinking one dimensionally.

0:42:17.160 --> 0:42:21.759
<v Speaker 4>That like the innovation is always about thinking three dimensionally

0:42:21.800 --> 0:42:24.759
<v Speaker 4>when everybody else is thinking in two dimensions. Right, this

0:42:24.840 --> 0:42:28.720
<v Speaker 4>is why we have UH, you know, build strategies to

0:42:28.760 --> 0:42:32.600
<v Speaker 4>derive income from uh you know, not just equities, but

0:42:32.640 --> 0:42:36.399
<v Speaker 4>fixed income, but for from gold, from bitcoin, from any

0:42:36.440 --> 0:42:37.040
<v Speaker 4>asset class.

0:42:37.040 --> 0:42:39.080
<v Speaker 2>You can so give us a few ETFs that are

0:42:39.400 --> 0:42:40.880
<v Speaker 2>primarily income focused.

0:42:41.120 --> 0:42:41.319
<v Speaker 3>Yeah.

0:42:41.360 --> 0:42:45.200
<v Speaker 4>So one of our biggest ones is UH UH K

0:42:45.320 --> 0:42:49.560
<v Speaker 4>and G, which tracks the divin in aristaurrats our d

0:42:49.719 --> 0:42:54.279
<v Speaker 4>v I which tracks the uh divin in achievers. These

0:42:54.320 --> 0:42:55.600
<v Speaker 4>all provide uh.

0:42:55.600 --> 0:42:57.040
<v Speaker 3>You know, attractive level yield. I think.

0:42:57.400 --> 0:43:04.000
<v Speaker 2>So diven in aristocrats tend to be high dividends, low price.

0:43:04.080 --> 0:43:06.879
<v Speaker 2>They tend not to be high PE companies, so they're

0:43:06.880 --> 0:43:08.200
<v Speaker 2>fairly stable. Is that? Is that?

0:43:08.520 --> 0:43:10.960
<v Speaker 4>So the companies that have grown their dividend is created

0:43:10.960 --> 0:43:12.680
<v Speaker 4>by S and P back in two thousand and five,

0:43:12.680 --> 0:43:15.520
<v Speaker 4>companies have grown. They're diven in for twenty five consecutive years.

0:43:15.520 --> 0:43:15.960
<v Speaker 2>Wow.

0:43:16.480 --> 0:43:19.600
<v Speaker 4>And these are diven and growers. They're not diven in payers.

0:43:19.680 --> 0:43:22.239
<v Speaker 4>So they typically I believe, you know, yield less than

0:43:22.280 --> 0:43:25.560
<v Speaker 4>two percent. But they've grown. They're diven in for twenty

0:43:25.600 --> 0:43:27.520
<v Speaker 4>five consecutive years. So for a company to grow, they're

0:43:27.520 --> 0:43:29.040
<v Speaker 4>diven in for twenty five consecutive years.

0:43:29.160 --> 0:43:30.280
<v Speaker 2>That's a stable business.

0:43:30.360 --> 0:43:33.520
<v Speaker 4>Yes, And it has to cash flow. It's not a

0:43:33.680 --> 0:43:37.719
<v Speaker 4>pe play right for all intents and purposes. It is

0:43:38.120 --> 0:43:40.680
<v Speaker 4>companies that have to have strong notes. And the other

0:43:40.840 --> 0:43:43.640
<v Speaker 4>thing that people miss is good corporate governance because who

0:43:43.680 --> 0:43:47.359
<v Speaker 4>makes dividend policy The board for board to never cut

0:43:47.400 --> 0:43:50.239
<v Speaker 4>a dividend for twenty five years. It actually was a

0:43:50.239 --> 0:43:52.240
<v Speaker 4>filter for good corporate governors.

0:43:51.800 --> 0:43:54.880
<v Speaker 2>Now and that stock symbol is that ETF.

0:43:54.440 --> 0:43:59.440
<v Speaker 4>Symbol is KNG k NG, Yeah, and you.

0:43:59.320 --> 0:44:03.880
<v Speaker 2>Guys generate additional income on that with recover call writing.

0:44:03.920 --> 0:44:04.279
<v Speaker 3>That's right.

0:44:04.440 --> 0:44:06.400
<v Speaker 2>So if it's a two percent yield, what do you

0:44:06.520 --> 0:44:07.640
<v Speaker 2>actually so.

0:44:08.680 --> 0:44:13.120
<v Speaker 3>Our distribution yields probably in the past year over eight percent.

0:44:13.640 --> 0:44:14.920
<v Speaker 2>Really that's a big number.

0:44:14.960 --> 0:44:15.520
<v Speaker 3>And we're on.

0:44:15.440 --> 0:44:19.320
<v Speaker 4>Average, I believe, covering around twenty percent of every single name.

0:44:19.560 --> 0:44:21.600
<v Speaker 4>So you know, if I have one hundred shares of Walmart,

0:44:21.640 --> 0:44:23.359
<v Speaker 4>I'm writing in at the money call and let's say

0:44:23.360 --> 0:44:27.120
<v Speaker 4>twenty of those shares as an example to achieve that

0:44:27.200 --> 0:44:30.960
<v Speaker 4>target income. So one of the things that core beliefs

0:44:30.960 --> 0:44:34.200
<v Speaker 4>that we have when writing cover calls is like one

0:44:34.239 --> 0:44:35.000
<v Speaker 4>of the biggest.

0:44:34.719 --> 0:44:37.160
<v Speaker 3>Drivers is stock selection. You pick the stocks you get

0:44:37.200 --> 0:44:38.200
<v Speaker 3>good results. Right.

0:44:38.680 --> 0:44:41.359
<v Speaker 4>While you know the aristocrats they don't have the high

0:44:41.360 --> 0:44:44.759
<v Speaker 4>flying mag seven names, right, but definitely as you look

0:44:44.800 --> 0:44:47.520
<v Speaker 4>forward into the windshield, these are really going to be

0:44:47.560 --> 0:44:49.719
<v Speaker 4>the names as the market bronze out right, Like I

0:44:49.760 --> 0:44:52.080
<v Speaker 4>really do think in the next year, you're really looking

0:44:52.120 --> 0:44:54.800
<v Speaker 4>at kind of a Barbell approach where you yeah.

0:44:54.600 --> 0:44:55.839
<v Speaker 3>You have the NVIDIAs in the.

0:44:57.440 --> 0:45:01.759
<v Speaker 4>In the high hyper scalers portfolio, but you really need

0:45:01.800 --> 0:45:04.800
<v Speaker 4>to have the strong staples that cash flow.

0:45:06.040 --> 0:45:08.440
<v Speaker 2>What are some of the names in KNG.

0:45:08.640 --> 0:45:12.200
<v Speaker 4>What you got like Chevron, Walmart, like you're really blue

0:45:12.280 --> 0:45:14.120
<v Speaker 4>chip names that are there.

0:45:14.360 --> 0:45:15.640
<v Speaker 3>I mean, look at Chevron.

0:45:15.680 --> 0:45:17.719
<v Speaker 4>They they have the potential to be, you know, one

0:45:17.760 --> 0:45:21.879
<v Speaker 4>of the beneficiaries of oil in Venezuela right like they were,

0:45:21.960 --> 0:45:27.240
<v Speaker 4>they were there before. And these are the cash flowing

0:45:27.280 --> 0:45:30.520
<v Speaker 4>like crime like companies that like, like I said, grown,

0:45:30.520 --> 0:45:32.160
<v Speaker 4>they're giving for twenty five second years.

0:45:32.160 --> 0:45:34.319
<v Speaker 3>These are strong, strong names that are out there.

0:45:34.520 --> 0:45:36.600
<v Speaker 2>You do you do anything with fixed income on the

0:45:36.680 --> 0:45:37.680
<v Speaker 2>yield side as well?

0:45:37.800 --> 0:45:38.200
<v Speaker 3>Yeah, so.

0:45:39.719 --> 0:45:44.839
<v Speaker 4>We have cover calls on high yield tracking HyG gives

0:45:44.840 --> 0:45:48.120
<v Speaker 4>you also a I believe a double digit distribution yield

0:45:49.000 --> 0:45:51.920
<v Speaker 4>only covering about you know, twenty to twenty five percent

0:45:51.960 --> 0:45:53.960
<v Speaker 4>of the portfolio, so you're still getting over you know,

0:45:54.080 --> 0:45:55.480
<v Speaker 4>on a weekly basis seventy And.

0:45:55.520 --> 0:45:59.680
<v Speaker 2>What's that symbol h y T I heidi mm hmm.

0:46:00.080 --> 0:46:01.799
<v Speaker 4>Yeah.

0:46:00.680 --> 0:46:04.239
<v Speaker 2>And what about do you do anything on the commodity So.

0:46:04.560 --> 0:46:09.160
<v Speaker 4>We have gold IGLD, so you know, biggest not on

0:46:09.239 --> 0:46:10.480
<v Speaker 4>goal has been a hunk of metal.

0:46:10.480 --> 0:46:12.000
<v Speaker 3>Since your portfolio doesn't do anything.

0:46:12.040 --> 0:46:16.359
<v Speaker 4>Now you can monetize the volatility and have you know, potentially.

0:46:16.160 --> 0:46:20.040
<v Speaker 2>Same process covered coal writ in exactly. So this is

0:46:20.080 --> 0:46:23.560
<v Speaker 2>why CBOW is to partner with you. Guys. How does

0:46:23.600 --> 0:46:28.360
<v Speaker 2>that relationship help you manage all of this option writing,

0:46:28.400 --> 0:46:30.360
<v Speaker 2>all this all active.

0:46:30.560 --> 0:46:33.719
<v Speaker 4>That's a great question. So let's take eye Gold as

0:46:33.719 --> 0:46:39.080
<v Speaker 4>an example. Right, prior to that fund, GLD options stop

0:46:39.120 --> 0:46:41.680
<v Speaker 4>trading at four o'clock. By the way, this is one

0:46:41.719 --> 0:46:44.640
<v Speaker 4>of the reasons why CEBO partner with us is how

0:46:44.640 --> 0:46:47.160
<v Speaker 4>do we solve certain issues in the option market for

0:46:47.320 --> 0:46:53.359
<v Speaker 4>the construction of funds? Right if options stop trading at

0:46:53.360 --> 0:46:55.279
<v Speaker 4>four o'clock and I need to know the clothes, I

0:46:55.360 --> 0:46:57.520
<v Speaker 4>can't create an ETF on that.

0:46:57.520 --> 0:46:57.960
<v Speaker 3>That's right.

0:46:58.120 --> 0:47:00.919
<v Speaker 4>S and P options, SPI options they trade, they close

0:47:00.960 --> 0:47:05.800
<v Speaker 4>at four fifteen. Today, GLD options stop trading at four fifteen.

0:47:06.560 --> 0:47:08.520
<v Speaker 4>By the way, that's a really cool statement to say

0:47:08.520 --> 0:47:13.480
<v Speaker 4>that the entire street trades GLD options that extra fifteen

0:47:13.480 --> 0:47:15.560
<v Speaker 4>minutes because we wanted that.

0:47:15.560 --> 0:47:17.920
<v Speaker 2>That's great, but that was you have you have to

0:47:17.920 --> 0:47:20.640
<v Speaker 2>take the closing price at four and then use it

0:47:20.719 --> 0:47:22.400
<v Speaker 2>for and we need that, they need.

0:47:22.120 --> 0:47:23.759
<v Speaker 4>That we need that option market to be open that

0:47:23.800 --> 0:47:26.760
<v Speaker 4>extra fifteen minutes. And by the way, that that those

0:47:27.000 --> 0:47:31.120
<v Speaker 4>products by for trust invests are the reason why we

0:47:31.200 --> 0:47:33.319
<v Speaker 4>have an extra fifteen minutes to trade GLD option. So

0:47:33.320 --> 0:47:35.640
<v Speaker 4>if you're you're late and you're trading at four or five,

0:47:37.360 --> 0:47:37.879
<v Speaker 4>that's us.

0:47:38.440 --> 0:47:42.000
<v Speaker 2>And option trading is so much more complicated, so much

0:47:42.000 --> 0:47:45.720
<v Speaker 2>more difficult. Like you, I started on an equity desk,

0:47:45.880 --> 0:47:48.640
<v Speaker 2>but have always been a little bit of an option

0:47:48.880 --> 0:47:53.520
<v Speaker 2>junkie because it's so fascinating and most people use don't

0:47:53.600 --> 0:47:58.760
<v Speaker 2>use options correctly. They're just making like a lottery ticket bet,

0:47:58.800 --> 0:48:02.200
<v Speaker 2>which tends not to be smart. You guys are using

0:48:02.239 --> 0:48:06.440
<v Speaker 2>options for a very specific purpose to achieve what you

0:48:06.560 --> 0:48:09.279
<v Speaker 2>describe as a defined outcome.

0:48:09.200 --> 0:48:11.120
<v Speaker 3>Solve a problem.

0:48:11.160 --> 0:48:15.440
<v Speaker 2>Solving a problem. Really interesting. Yeah, coming up, we continue

0:48:15.480 --> 0:48:19.280
<v Speaker 2>our conversation with Jeff Chang, co founder and president a VEST.

0:48:19.640 --> 0:48:23.319
<v Speaker 2>I'm Barry Ridults. You're listening to Masters in Business on

0:48:23.400 --> 0:48:39.640
<v Speaker 2>Bloomberg Radio. I'm Barry Redults. You're listening to Masters in

0:48:39.680 --> 0:48:43.120
<v Speaker 2>Business on Bloomberg Radio. My extra special guest this week

0:48:43.400 --> 0:48:47.000
<v Speaker 2>is Jeff Chang. He's president and co founder a VEST,

0:48:47.280 --> 0:48:54.040
<v Speaker 2>the firm specializes in outcome oriented investing via primarily ETFs.

0:48:54.040 --> 0:48:58.440
<v Speaker 2>Then run over fifty billion dollars in assets. Before I

0:48:58.480 --> 0:49:01.360
<v Speaker 2>get to my favorite questions, I want to ask any

0:49:01.640 --> 0:49:05.800
<v Speaker 2>So we've covered stocks, bonds, commodities. You mentioned crypto. What

0:49:06.200 --> 0:49:10.520
<v Speaker 2>are you doing in terms of crypto and generating additional

0:49:11.640 --> 0:49:15.200
<v Speaker 2>defined outcome results using derivatives.

0:49:15.480 --> 0:49:21.640
<v Speaker 4>Yeah, so we have a strategy also target income almost

0:49:21.680 --> 0:49:24.279
<v Speaker 4>I believe about a eighteen nineteen percent yield and you're

0:49:24.280 --> 0:49:29.640
<v Speaker 4>still only covering about twenty percent. So that strategy tracks bitcoin,

0:49:29.800 --> 0:49:32.040
<v Speaker 4>so you can get on a weekly basis, let's say

0:49:32.200 --> 0:49:34.120
<v Speaker 4>you know, seventy eighty percent of the upside and bitcoin

0:49:34.160 --> 0:49:38.640
<v Speaker 4>and then you know really high almost twenty percent yield

0:49:38.680 --> 0:49:41.560
<v Speaker 4>by monetizing the volatility. It's the same thing because like

0:49:41.680 --> 0:49:44.440
<v Speaker 4>just like gold, some of the knock is is that

0:49:44.480 --> 0:49:46.799
<v Speaker 4>it just sits in my portfolio, doesn't do anything, and

0:49:46.840 --> 0:49:47.920
<v Speaker 4>the value.

0:49:47.880 --> 0:49:50.160
<v Speaker 2>Well, no one can say that about bitcoin. It's always

0:49:50.200 --> 0:49:52.120
<v Speaker 2>doing something going up and down.

0:49:52.160 --> 0:49:52.680
<v Speaker 3>Yeah, exactly.

0:49:52.719 --> 0:49:54.640
<v Speaker 2>And what's the ETF symbol.

0:49:54.400 --> 0:49:55.960
<v Speaker 3>For the ibit.

0:49:58.000 --> 0:50:02.400
<v Speaker 4>I'm sorry not that's black, right, yeah, yeah, DFII, that's.

0:50:02.320 --> 0:50:09.640
<v Speaker 2>Right, DFI. And so that's options. How much of the upside,

0:50:09.680 --> 0:50:12.000
<v Speaker 2>how much of the downside, do you get and give

0:50:12.080 --> 0:50:13.280
<v Speaker 2>up or is it just geared?

0:50:13.440 --> 0:50:16.880
<v Speaker 4>We're just writing cover calls on to target you know,

0:50:16.920 --> 0:50:19.399
<v Speaker 4>a specific yield, Like I said, I think anywhere from

0:50:19.520 --> 0:50:22.200
<v Speaker 4>recovering every week about twenty to twenty five percent and

0:50:22.360 --> 0:50:26.000
<v Speaker 4>at the mind how every week every week, every Friday.

0:50:26.040 --> 0:50:26.440
<v Speaker 2>Yeah.

0:50:26.560 --> 0:50:29.200
<v Speaker 3>The reason why we like weeklies.

0:50:30.440 --> 0:50:33.840
<v Speaker 4>Is that when you sell a call, you want the

0:50:33.840 --> 0:50:36.120
<v Speaker 4>premium to go to zero, right, that's right, and that

0:50:37.320 --> 0:50:40.440
<v Speaker 4>decay accelerates in that last week if you're selling a

0:50:40.520 --> 0:50:42.520
<v Speaker 4>monthly options, so if you like do it four times

0:50:42.960 --> 0:50:45.680
<v Speaker 4>a month, you have the potential to generate more yield

0:50:46.000 --> 0:50:48.520
<v Speaker 4>because you're always capturing that extra decay. It's like it's

0:50:48.560 --> 0:50:50.600
<v Speaker 4>like football tickets, right, Like you ever go on step

0:50:50.640 --> 0:50:53.719
<v Speaker 4>up like game times at one o'clock and you go

0:50:53.760 --> 0:50:55.680
<v Speaker 4>on stop up at twelve, the ticket starts to drop

0:50:55.800 --> 0:50:59.279
<v Speaker 4>like rock. Imagine if you kept tracking that and you

0:50:59.280 --> 0:51:03.480
<v Speaker 4>you made money off that drop, right, and everything.

0:51:03.239 --> 0:51:04.200
<v Speaker 3>Kind of follows that.

0:51:04.440 --> 0:51:07.920
<v Speaker 4>In fact, there's actually only one thing that doesn't follow that,

0:51:08.000 --> 0:51:11.279
<v Speaker 4>you know what that is go on Giants tickets, they

0:51:11.320 --> 0:51:12.920
<v Speaker 4>decay before the season starts.

0:51:14.280 --> 0:51:17.000
<v Speaker 2>Well as a guy used to be in New Jersey

0:51:17.120 --> 0:51:17.840
<v Speaker 2>for sure.

0:51:18.880 --> 0:51:21.440
<v Speaker 4>Or jets, tickets. Actually both of those are anominally there.

0:51:21.560 --> 0:51:25.040
<v Speaker 2>So really so in other words, bad assets don't generate

0:51:25.080 --> 0:51:29.520
<v Speaker 2>good option that that's pretty reasonable. How often do things

0:51:29.560 --> 0:51:33.240
<v Speaker 2>get called away? That's obviously the risk when you're writing calls.

0:51:34.719 --> 0:51:37.960
<v Speaker 2>How do you manage around that? How frequently is that

0:51:38.120 --> 0:51:39.240
<v Speaker 2>built into your models?

0:51:39.320 --> 0:51:43.440
<v Speaker 4>I mean, that can happen pretty frequently. But here's the deal, Like,

0:51:43.760 --> 0:51:46.279
<v Speaker 4>think about this, and this is just a concept of

0:51:48.680 --> 0:51:51.520
<v Speaker 4>let's say I collect a two dollar premium and the

0:51:51.640 --> 0:51:56.000
<v Speaker 4>stock goes up one dollar. You're good, Yeah I made

0:51:56.040 --> 0:51:57.960
<v Speaker 4>a dollar, but it's still got called away, but I

0:51:58.000 --> 0:52:00.200
<v Speaker 4>still made a dollar. I just buy the stock back

0:52:00.280 --> 0:52:03.279
<v Speaker 4>or however way I deal with the assignment, depending on

0:52:03.600 --> 0:52:04.640
<v Speaker 4>the strategy.

0:52:05.080 --> 0:52:06.840
<v Speaker 3>So the idea is, as long as the stock.

0:52:06.640 --> 0:52:08.719
<v Speaker 4>Doesn't go above the premium, if I'm writing out the

0:52:08.800 --> 0:52:10.640
<v Speaker 4>money or what I've actually.

0:52:10.480 --> 0:52:14.160
<v Speaker 2>Gives you a buffer to repurchase the stock, not at

0:52:14.160 --> 0:52:15.080
<v Speaker 2>a loss exactly.

0:52:15.120 --> 0:52:17.840
<v Speaker 4>And this comes into what we call about the implied

0:52:17.920 --> 0:52:24.080
<v Speaker 4>versus realized premium, meaning options. If I look historically of

0:52:24.120 --> 0:52:26.480
<v Speaker 4>a particular asset, whether it be a stock or a

0:52:26.480 --> 0:52:30.759
<v Speaker 4>commodity or whatever, and it historically moves X, I'm not

0:52:30.800 --> 0:52:35.560
<v Speaker 4>going to sell the premium at that number to be plus, right,

0:52:35.800 --> 0:52:38.840
<v Speaker 4>just like when you sell car insurance, Like if my

0:52:39.000 --> 0:52:41.480
<v Speaker 4>expected loss is one thousand dollars, I'm not going to

0:52:41.520 --> 0:52:43.399
<v Speaker 4>sell the premium. If for a thousand, I'm gonna sell

0:52:43.400 --> 0:52:45.440
<v Speaker 4>it for twelve hundred dollars to make two hundred, right,

0:52:45.480 --> 0:52:46.600
<v Speaker 4>that extra a little bit.

0:52:47.120 --> 0:52:48.520
<v Speaker 3>So in options, they have.

0:52:48.520 --> 0:52:51.640
<v Speaker 4>What's called the implied versus realized premium, And so that's

0:52:51.680 --> 0:52:56.120
<v Speaker 4>really kind of where you're trying to capture, is the

0:52:56.160 --> 0:52:59.280
<v Speaker 4>implied volatility versus what the realized volatility, And you're hoping

0:52:59.280 --> 0:53:01.640
<v Speaker 4>that the implied will be greater than the realize. I mean,

0:53:01.680 --> 0:53:04.080
<v Speaker 4>that's the hope and option, especially when you're selling them,

0:53:04.200 --> 0:53:06.440
<v Speaker 4>all right, I think there's a stat that, like, you know,

0:53:06.480 --> 0:53:09.799
<v Speaker 4>sixty percent or seventy percent of the time, the person

0:53:09.920 --> 0:53:12.440
<v Speaker 4>selling the option wins the trade, right right.

0:53:12.360 --> 0:53:15.120
<v Speaker 2>Most you know, old option traders don't die, They just

0:53:15.200 --> 0:53:18.880
<v Speaker 2>expire worthless. Yeah, is the exactly that's joke. But you know,

0:53:18.920 --> 0:53:21.520
<v Speaker 2>if you're a writer of options, you're making a very

0:53:21.520 --> 0:53:24.799
<v Speaker 2>specific bet, and if you're a purchase of options, you're

0:53:24.840 --> 0:53:25.839
<v Speaker 2>making a very different bet.

0:53:25.960 --> 0:53:27.040
<v Speaker 3>Yeah, yeah, I mean you see this.

0:53:28.000 --> 0:53:29.880
<v Speaker 4>Uh, you know, in some cases the buying options is

0:53:30.640 --> 0:53:33.840
<v Speaker 4>like you said it can you know, even warm Buffet

0:53:33.920 --> 0:53:35.560
<v Speaker 4>said there could be weapons of mass destruction.

0:53:35.640 --> 0:53:37.600
<v Speaker 3>I mean you can see these zero day options that.

0:53:37.520 --> 0:53:39.560
<v Speaker 2>People are buying, and that's become crazy.

0:53:39.560 --> 0:53:42.439
<v Speaker 4>I mean those are like scratch off lottery tickets, right,

0:53:42.480 --> 0:53:43.160
<v Speaker 4>who's buying them?

0:53:43.160 --> 0:53:43.560
<v Speaker 3>I don't know.

0:53:43.640 --> 0:53:46.000
<v Speaker 4>The kid and his mom basement pop and his pimples

0:53:46.000 --> 0:53:46.960
<v Speaker 4>eat many sandwiches.

0:53:47.000 --> 0:53:50.359
<v Speaker 2>I'm at one point in time, I imagine that there

0:53:50.400 --> 0:53:53.960
<v Speaker 2>were market makers that had a hedge that, for reasons

0:53:54.080 --> 0:53:58.120
<v Speaker 2>that were complicated, they were stuck with overnight positions like

0:53:58.200 --> 0:54:02.920
<v Speaker 2>I almost understand that. But the day traders playing with

0:54:02.960 --> 0:54:08.680
<v Speaker 2>these this is fan duels and draftking, pure speculative nonsense.

0:54:08.760 --> 0:54:09.440
<v Speaker 3>Yeah, exactly.

0:54:09.480 --> 0:54:12.320
<v Speaker 4>So that's why we don't have anything in that space,

0:54:12.440 --> 0:54:16.360
<v Speaker 4>but it is something to look at from AFAR.

0:54:17.160 --> 0:54:21.319
<v Speaker 2>Really fascinating stuff. Last question before I jump to my

0:54:22.080 --> 0:54:28.279
<v Speaker 2>favorite questions. So you're constantly thinking about how do we

0:54:28.360 --> 0:54:30.920
<v Speaker 2>hedge this position, how do we create a buffer, how

0:54:30.920 --> 0:54:35.600
<v Speaker 2>do we define a specific outcome for clients? What do

0:54:35.640 --> 0:54:39.759
<v Speaker 2>you think the average investor isn't thinking about relative to

0:54:39.800 --> 0:54:42.920
<v Speaker 2>that approach, but perhaps should be. What do you think

0:54:43.000 --> 0:54:45.879
<v Speaker 2>most people are kind of missing or not paying enough

0:54:45.880 --> 0:54:49.520
<v Speaker 2>attention to and it could be a geography, it could

0:54:49.560 --> 0:54:53.200
<v Speaker 2>be a policy whatever, but you're obviously thinking about a

0:54:53.239 --> 0:54:58.040
<v Speaker 2>lot of things differently than the typical index purchaser. What

0:54:58.080 --> 0:54:58.640
<v Speaker 2>are we missing?

0:54:59.640 --> 0:55:03.360
<v Speaker 4>Yeah, I think, you know, while we've had a tremendous

0:55:03.400 --> 0:55:06.200
<v Speaker 4>amount of growth in kind of the option space of

0:55:06.239 --> 0:55:10.160
<v Speaker 4>downside protection and the income generation part, I think a

0:55:10.200 --> 0:55:11.279
<v Speaker 4>lot of the market.

0:55:11.000 --> 0:55:11.759
<v Speaker 2>Is still.

0:55:13.080 --> 0:55:16.640
<v Speaker 4>I think thinking two dimensionally in the stocks and bonds, right, Like,

0:55:17.760 --> 0:55:22.200
<v Speaker 4>instead of just diversifying across, think about you can still diversify,

0:55:22.280 --> 0:55:24.719
<v Speaker 4>but think about other ways to shape your return, right

0:55:24.880 --> 0:55:28.520
<v Speaker 4>or thinking about income generation out of the equity portfolio,

0:55:28.560 --> 0:55:31.160
<v Speaker 4>think about income generation or boosting yield and your fixed

0:55:31.160 --> 0:55:35.359
<v Speaker 4>income part of it, and then also thinking about risk

0:55:35.360 --> 0:55:40.319
<v Speaker 4>management beyond diversification. While there is a lot of good

0:55:40.360 --> 0:55:43.600
<v Speaker 4>part of the financial professional space that is picking up

0:55:43.640 --> 0:55:46.000
<v Speaker 4>on this, I still don't think like we're just tip

0:55:46.000 --> 0:55:47.400
<v Speaker 4>of the iceberg at this point.

0:55:47.640 --> 0:55:47.839
<v Speaker 2>Right.

0:55:48.239 --> 0:55:51.880
<v Speaker 4>That's on one one standpoint I think people are still missing.

0:55:52.640 --> 0:55:57.960
<v Speaker 4>The second I think is that I think one of

0:55:58.000 --> 0:56:00.520
<v Speaker 4>the biggest drivers of the market today, no one would

0:56:00.560 --> 0:56:03.600
<v Speaker 4>discree a is AI right. However, that's not the part

0:56:03.600 --> 0:56:08.600
<v Speaker 4>that people are missing that you know, haven't been through

0:56:08.680 --> 0:56:10.759
<v Speaker 4>the two thousands. I really feel like this is like

0:56:10.840 --> 0:56:13.680
<v Speaker 4>nineteen ninety nine, two thousand. Like, think about the stocks

0:56:13.719 --> 0:56:14.960
<v Speaker 4>that were big then, right.

0:56:14.920 --> 0:56:18.880
<v Speaker 2>Like you had Juniper Networks, Metromedia five right.

0:56:19.080 --> 0:56:22.759
<v Speaker 4>Like I remember you guys remember price Line Global Crossing.

0:56:22.880 --> 0:56:26.000
<v Speaker 2>Yeah, you know a lot of these companies have been

0:56:26.280 --> 0:56:30.840
<v Speaker 2>either absorbed into other companies and still Priceline Expedia, there's

0:56:30.880 --> 0:56:33.680
<v Speaker 2>a through line there. How is pets dot Com not

0:56:33.840 --> 0:56:36.840
<v Speaker 2>chewy today? So some of them were just a little

0:56:36.880 --> 0:56:37.880
<v Speaker 2>early exactly.

0:56:38.040 --> 0:56:39.720
<v Speaker 3>So let me ask you who won that trade?

0:56:39.719 --> 0:56:45.040
<v Speaker 4>Facebook, Google, Amazon, Amazon, Apple, Microsoft. A lot of those

0:56:45.120 --> 0:56:49.520
<v Speaker 4>companies were private or startups then Google, Right, think about that,

0:56:50.000 --> 0:56:52.239
<v Speaker 4>and I think that's the same, like history doesn't repeat

0:56:52.239 --> 0:56:55.239
<v Speaker 4>itself at rhymes. I actually think a lot of the

0:56:55.760 --> 0:57:00.920
<v Speaker 4>kind of the hugely successful companies from AI in startup mode.

0:57:00.920 --> 0:57:04.400
<v Speaker 4>They're at y Comedy or the ninety of the uh

0:57:06.080 --> 0:57:08.719
<v Speaker 4>almost eighty ninety percent of the companies at YC are

0:57:08.880 --> 0:57:12.799
<v Speaker 4>AI driven. They have I've seen an article recently. Their

0:57:13.000 --> 0:57:16.560
<v Speaker 4>month over month average for the batch is double digits,

0:57:16.600 --> 0:57:20.760
<v Speaker 4>meaning their revenue is growing over ten percent month month

0:57:20.800 --> 0:57:24.439
<v Speaker 4>to month or in some cases week over weeks.

0:57:24.520 --> 0:57:28.080
<v Speaker 2>That's unbelievable. And I said to someone the other day,

0:57:28.480 --> 0:57:32.400
<v Speaker 2>someone said, who's gonna dethrone and Video? And I said,

0:57:32.440 --> 0:57:35.760
<v Speaker 2>the founder of that company hasn't graduated high school yet.

0:57:35.920 --> 0:57:39.400
<v Speaker 2>But he's common or she's coming, he's not. It's not impossible.

0:57:39.400 --> 0:57:42.440
<v Speaker 2>All right, Let's let's jump to our favorite questions that

0:57:42.480 --> 0:57:45.360
<v Speaker 2>we ask all of our guests, starting with who are

0:57:45.400 --> 0:57:48.520
<v Speaker 2>your mentors who helped shape your career?

0:57:49.680 --> 0:57:50.920
<v Speaker 3>Oh, that's a great question.

0:57:52.200 --> 0:57:57.400
<v Speaker 4>I would actually uh have to say my brother really yes,

0:57:59.360 --> 0:58:02.360
<v Speaker 4>and in what way? I have an older brother, he's

0:58:02.360 --> 0:58:06.560
<v Speaker 4>four years older than me. He's the overachiever. I'm the

0:58:06.640 --> 0:58:11.600
<v Speaker 4>underachiever of the uh so, uh my brother I remember

0:58:11.640 --> 0:58:14.280
<v Speaker 4>growing up he was like the uh he was good

0:58:14.280 --> 0:58:16.160
<v Speaker 4>at math and science. I would literally show up the

0:58:16.160 --> 0:58:18.120
<v Speaker 4>class and they'd be like, Oh, you're Bill Chain's brother.

0:58:18.160 --> 0:58:19.880
<v Speaker 3>You must be smart by the way. You know what

0:58:19.880 --> 0:58:20.440
<v Speaker 3>that does to you.

0:58:20.480 --> 0:58:22.680
<v Speaker 4>It's like a lot of pressure, a lot of pressure.

0:58:23.640 --> 0:58:27.480
<v Speaker 4>So he went on. He worked at Apple and then

0:58:28.560 --> 0:58:32.400
<v Speaker 4>was at Tesla. I think he was chief architect of

0:58:32.440 --> 0:58:39.440
<v Speaker 4>the dojo dojo price Folks that aren't familiar with dojo,

0:58:39.560 --> 0:58:42.360
<v Speaker 4>it's the AI system at Tesla that coded the self

0:58:42.440 --> 0:58:47.720
<v Speaker 4>driving right. He recently, and in fact, Bloomberg wrote an

0:58:47.800 --> 0:58:52.840
<v Speaker 4>article about his firm, Density Ai that I think they

0:58:52.880 --> 0:58:56.040
<v Speaker 4>are one of the first companies to really, uh kind

0:58:56.080 --> 0:58:59.800
<v Speaker 4>of take on because the dojo I think system is

0:58:59.880 --> 0:59:02.880
<v Speaker 4>one of the one of the more efficient ways that

0:59:02.960 --> 0:59:04.680
<v Speaker 4>can take on in video for the chips. So that's

0:59:04.680 --> 0:59:06.760
<v Speaker 4>why it's funny that you said, like, Hey, the person

0:59:06.760 --> 0:59:08.360
<v Speaker 4>that's going to de thrown a video it may may

0:59:08.400 --> 0:59:09.640
<v Speaker 4>not may still be in high school.

0:59:09.680 --> 0:59:12.160
<v Speaker 3>I was like, yeah, he might just be four years old, right.

0:59:13.720 --> 0:59:16.960
<v Speaker 2>Or he can be deep into the process already. Yeah.

0:59:17.000 --> 0:59:22.400
<v Speaker 4>So, uh, they recently, like I said, like, Bloomberg just

0:59:22.400 --> 0:59:26.120
<v Speaker 4>wrote an article about them on dense Ai and he

0:59:26.120 --> 0:59:28.760
<v Speaker 4>he has been extremely Like a lot of times people

0:59:28.760 --> 0:59:31.840
<v Speaker 4>ask like, hey, did you work that hard because your

0:59:31.840 --> 0:59:34.920
<v Speaker 4>parents were, you know, like tire your parents. No. Actually

0:59:34.960 --> 0:59:37.040
<v Speaker 4>I was just chasing my brother the whole time. It

0:59:37.120 --> 0:59:40.800
<v Speaker 4>was definitely a different dynamic and uh, yeah, I couldn't

0:59:40.840 --> 0:59:41.680
<v Speaker 4>be more proud of him.

0:59:41.960 --> 0:59:42.080
<v Speaker 2>Uh.

0:59:42.360 --> 0:59:44.800
<v Speaker 4>And a lot of times people are like, hey, what

0:59:44.800 --> 0:59:49.080
<v Speaker 4>what tea are the chains drinking? Because we're but we

0:59:49.120 --> 0:59:52.880
<v Speaker 4>get along great. While we're competitive, we we support each other.

0:59:52.960 --> 0:59:53.680
<v Speaker 3>But he's been.

0:59:53.840 --> 0:59:56.280
<v Speaker 2>You're in different fields, so the competition exactly.

0:59:56.320 --> 1:00:00.720
<v Speaker 3>He's engineering. I'm in financial yeah, yeah.

1:00:00.560 --> 1:00:03.880
<v Speaker 2>Exactly, so similar, similar background. Let's talk about books. What

1:00:03.920 --> 1:00:05.640
<v Speaker 2>are some of your favorites. What are you reading right now? Oh?

1:00:05.680 --> 1:00:08.520
<v Speaker 3>I said Liar's Poker, a very inflacable one.

1:00:08.600 --> 1:00:12.960
<v Speaker 2>Yeah, just had its thirtieth anniversary. I think last year.

1:00:13.040 --> 1:00:16.640
<v Speaker 4>I like, I thought was really good for me was

1:00:16.680 --> 1:00:19.920
<v Speaker 4>the book Influenced by Robert Childonie Fantastic.

1:00:20.000 --> 1:00:23.240
<v Speaker 3>It was a great book. Kind of along with that,

1:00:23.360 --> 1:00:24.840
<v Speaker 3>how to win friends and influence people.

1:00:24.960 --> 1:00:28.160
<v Speaker 4>I think those are great. I actually in financed. One

1:00:28.160 --> 1:00:31.760
<v Speaker 4>of my first ones was The Intelligent Investor by Ben Grant.

1:00:31.800 --> 1:00:34.320
<v Speaker 3>Yeah, Ben Graham. Those are kind of cornerstones.

1:00:34.480 --> 1:00:38.560
<v Speaker 2>Yeah, that's a great list. I know you are on

1:00:38.680 --> 1:00:42.280
<v Speaker 2>planes a lot when you're not reading. What are you streaming?

1:00:42.320 --> 1:00:45.920
<v Speaker 2>What's keeping you entertained on these long cross country flights,

1:00:46.320 --> 1:00:48.160
<v Speaker 2>either podcasts or Netflix or whatever.

1:00:48.600 --> 1:00:54.400
<v Speaker 4>I do listen to podcasts a masters in business. However,

1:00:55.440 --> 1:00:58.880
<v Speaker 4>there's a new thing that I've been doing. Actually it's

1:00:58.920 --> 1:01:03.440
<v Speaker 4>not a book, all right, and it'll probably be hit

1:01:03.480 --> 1:01:06.919
<v Speaker 4>everybody differently on on what I'm doing here. Okay, And

1:01:07.440 --> 1:01:10.439
<v Speaker 4>I could tell you I got this from a good

1:01:10.480 --> 1:01:13.920
<v Speaker 4>friend of mine and he's going to kill me for

1:01:13.960 --> 1:01:14.520
<v Speaker 4>saying this, So.

1:01:16.600 --> 1:01:17.000
<v Speaker 3>I'm good.

1:01:17.360 --> 1:01:19.280
<v Speaker 4>A friend of mine and his name Matt Bellamy, he's

1:01:19.280 --> 1:01:22.360
<v Speaker 4>the lead singer in the Muse and he actually taught

1:01:22.400 --> 1:01:24.240
<v Speaker 4>me this, so I can't take credit for this. We

1:01:24.320 --> 1:01:27.400
<v Speaker 4>go into chat EBT and he actually sent me the prompt,

1:01:27.560 --> 1:01:30.880
<v Speaker 4>and we prompt chat GBT, tell me in the last

1:01:30.880 --> 1:01:35.280
<v Speaker 4>two weeks, what you have learned that is beyond human

1:01:35.320 --> 1:01:37.040
<v Speaker 4>comprehension something.

1:01:36.840 --> 1:01:37.640
<v Speaker 3>Along those lines.

1:01:37.760 --> 1:01:40.040
<v Speaker 4>How fascinating And by the way it spits out all

1:01:40.120 --> 1:01:42.920
<v Speaker 4>this stuff because if you think about it humans, like

1:01:42.960 --> 1:01:45.640
<v Speaker 4>we as a human you could get a PhD in

1:01:45.640 --> 1:01:49.360
<v Speaker 4>biology you get a PhD. And astrophysicists you get PhD

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<v Speaker 4>in chemistry, but like you're the expert in their field.

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<v Speaker 4>But think about this that like chat GBT passed the

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<v Speaker 4>Bar exam and like, I don't know, like a couple

1:01:57.480 --> 1:02:00.560
<v Speaker 4>of weeks, right, So it's becoming experts and everything, and

1:02:00.560 --> 1:02:03.120
<v Speaker 4>then it's combining all of those things together. So how

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<v Speaker 4>many like PhDs and chemistry, astrophysics do you have that

1:02:06.200 --> 1:02:08.400
<v Speaker 4>I have like the expert and everything, And then what

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<v Speaker 4>comes out like you tend to learn so many things

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<v Speaker 4>that like by the way it turns into this rabbit hole.

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<v Speaker 4>And I noticed that my prompt actually because I always

1:02:17.640 --> 1:02:19.240
<v Speaker 4>tell it to me, like explain it to me, Like

1:02:19.280 --> 1:02:23.000
<v Speaker 4>I'm sixteen, so I've been driving into this other thing.

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<v Speaker 4>Of Uh, it's been teaching me about quantum entanglement.

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<v Speaker 3>Are you familiar with this?

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<v Speaker 2>Of course, like we wasn't familiar with spooky action at

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<v Speaker 2>a distance. I mean they teach that in middle school.

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<v Speaker 3>Yeah, exactly.

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<v Speaker 4>So the quantum entanglement that you have two protons that

1:02:41.360 --> 1:02:44.560
<v Speaker 4>you know, if you do want to X, why we'll

1:02:44.560 --> 1:02:46.560
<v Speaker 4>do the same. It's just like having two dice. If

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<v Speaker 4>dice on Earth. By the way, they've proven this, like

1:02:49.120 --> 1:02:51.880
<v Speaker 4>if you roll the dice on Earth it rolls a six,

1:02:51.880 --> 1:02:53.960
<v Speaker 4>it will definitely roll six, and it's not bound by

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<v Speaker 4>space and time, so basically it could be light years away.

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<v Speaker 3>You roll that dice, it rolls an eight. This one

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<v Speaker 3>on Earth is going to roll in eight.

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<v Speaker 4>And so then they sort of combine that with is

1:03:03.200 --> 1:03:08.360
<v Speaker 4>that part of human consciousness that is your consciousness? Quantum

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<v Speaker 4>entangled is what makes you you?

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<v Speaker 3>By the way, this type of thinking.

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<v Speaker 2>There's a related topic and I haven't run this through

1:03:15.920 --> 1:03:20.360
<v Speaker 2>chat GBT, but I should, which is the concept of

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<v Speaker 2>emergence intelligence emergence as the natural outcome of the universe.

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<v Speaker 2>Why does the universe exist if not to create a

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<v Speaker 2>conscience intelligence? Although the flip side of that is life

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<v Speaker 2>is fairly common throughout the universe hydrogen, carbon, oxygen, nitrogen,

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<v Speaker 2>but advanced technological life so far at least, appears to

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<v Speaker 2>be exceedingly rare. So that's the counterbalance of emergence totally.

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<v Speaker 4>And then the other thing that I found recently that

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<v Speaker 4>people can dig into I think this is fascinating, is

1:03:57.560 --> 1:04:03.760
<v Speaker 4>that your head experiences time different than your feet from

1:04:03.800 --> 1:04:05.840
<v Speaker 4>the proximity of Gravity's.

1:04:05.520 --> 1:04:09.880
<v Speaker 2>Well, certainly we have to adjust GPS because for the

1:04:09.960 --> 1:04:13.720
<v Speaker 2>relative relative the GPS persons, which Einstein turned out to

1:04:13.720 --> 1:04:16.600
<v Speaker 2>be right about exactly so. But the difference between your

1:04:16.680 --> 1:04:20.600
<v Speaker 2>head and feet, oh yes, is so tiny unless you're

1:04:20.640 --> 1:04:25.240
<v Speaker 2>falling into a black hole. And then spaghetification is the problem. Yeah.

1:04:25.280 --> 1:04:28.400
<v Speaker 4>So then you take quantum entanglement uh huh, And you

1:04:28.480 --> 1:04:31.000
<v Speaker 4>then say, okay, if I have a proton here and

1:04:31.240 --> 1:04:34.960
<v Speaker 4>a proton elsewhere, and the light in the how that

1:04:35.040 --> 1:04:41.320
<v Speaker 4>proton experiences time through entanglement versus how time bends with gravity.

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<v Speaker 3>By the way, all of this just.

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<v Speaker 4>Keeps going deeper and deeper and deeper into And then

1:04:48.120 --> 1:04:50.400
<v Speaker 4>the thing is that I keep telling it to explain

1:04:50.440 --> 1:04:53.440
<v Speaker 4>it to me like I'm sixteen. Now my entire prompt

1:04:53.440 --> 1:04:56.120
<v Speaker 4>explains everything. I will explain it to you as if

1:04:56.160 --> 1:04:57.200
<v Speaker 4>you're sixteen years old.

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<v Speaker 2>So the issue I occasionally run in with perplexity or

1:05:02.080 --> 1:05:08.880
<v Speaker 2>chat ept is it tends to conform its output to you. Yes,

1:05:09.120 --> 1:05:11.160
<v Speaker 2>And sometimes I'll ask a question. It's like, no, I

1:05:11.240 --> 1:05:14.320
<v Speaker 2>want a list of ten podcast questions. I just tell

1:05:14.320 --> 1:05:18.000
<v Speaker 2>me about Jeff Chang and what led to VEST. Don't

1:05:18.000 --> 1:05:20.640
<v Speaker 2>give me a podcast. I have my own questions.

1:05:20.640 --> 1:05:23.120
<v Speaker 4>That's why I use multiple rock every right. That way

1:05:23.120 --> 1:05:25.680
<v Speaker 4>I get a whole plethora. And then what ends up

1:05:25.680 --> 1:05:28.760
<v Speaker 4>happening is you get all this new stuff and then

1:05:28.800 --> 1:05:31.280
<v Speaker 4>you dig deep into whatever topic. And I found that

1:05:31.360 --> 1:05:36.320
<v Speaker 4>so fascinating because I just it's curiosity.

1:05:36.400 --> 1:05:40.000
<v Speaker 2>It's like if you're interested in these sorts of things exacsolutely,

1:05:41.320 --> 1:05:44.520
<v Speaker 2>but you have to be on guard for the occasional hallucination.

1:05:44.720 --> 1:05:50.160
<v Speaker 2>And every now and then I find myself leaving AI

1:05:50.360 --> 1:05:53.320
<v Speaker 2>to go to just traditional search and say, hey, show

1:05:53.360 --> 1:05:56.560
<v Speaker 2>me a source for this. Is this I don't think

1:05:56.920 --> 1:06:00.360
<v Speaker 2>before AI. I don't think people were skeptical enough about

1:06:00.880 --> 1:06:04.320
<v Speaker 2>the sources of what they consumed with AI. You really

1:06:04.360 --> 1:06:07.320
<v Speaker 2>have to know what is real and what is fake.

1:06:07.840 --> 1:06:11.240
<v Speaker 2>People miss that, all Right, our final two questions, what

1:06:11.320 --> 1:06:13.920
<v Speaker 2>sort of advice would you give to a recent college

1:06:13.960 --> 1:06:20.720
<v Speaker 2>grad interested in a career in asset management or or

1:06:20.760 --> 1:06:22.280
<v Speaker 2>ETFs specifically?

1:06:22.920 --> 1:06:24.880
<v Speaker 4>Yeah, I think at recent college grad, I think similar

1:06:24.960 --> 1:06:27.960
<v Speaker 4>to kind of bringing in full circle same thing, like

1:06:28.480 --> 1:06:32.200
<v Speaker 4>develop the skills that you know you're not beholden to anybody,

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<v Speaker 4>right whatever that is, whether you're in college or out

1:06:37.920 --> 1:06:41.200
<v Speaker 4>of college, Like develop those skills that you can actually

1:06:41.200 --> 1:06:45.120
<v Speaker 4>that they're portable one or the other, and then not

1:06:45.200 --> 1:06:51.160
<v Speaker 4>be afraid of failure, take chances. Now, this is not

1:06:51.200 --> 1:06:54.800
<v Speaker 4>for everybody, I would say, you know, meaning not everybody

1:06:54.840 --> 1:06:57.720
<v Speaker 4>is going to be a founder. Not everybody's going to

1:06:57.720 --> 1:06:59.720
<v Speaker 4>be an entrepreneur, which I, by the way, I find

1:07:00.040 --> 1:07:03.960
<v Speaker 4>as two different people. Founder has the creativity, an entrepreneur

1:07:04.040 --> 1:07:07.240
<v Speaker 4>has the grit and influence. A founder has to have

1:07:07.280 --> 1:07:10.440
<v Speaker 4>the creativity because you're actually introducing a whole new industry

1:07:10.520 --> 1:07:13.880
<v Speaker 4>or a whole new thing that somebody else has not

1:07:14.120 --> 1:07:14.680
<v Speaker 4>seen yet.

1:07:14.800 --> 1:07:17.320
<v Speaker 3>Right, But that's the thing.

1:07:17.520 --> 1:07:21.000
<v Speaker 4>And then also keep your eye out for painful problems

1:07:21.400 --> 1:07:24.840
<v Speaker 4>that you have the skill set to solve. So obtain

1:07:24.920 --> 1:07:27.919
<v Speaker 4>those skill sets and then have your eyes out, eyes

1:07:27.960 --> 1:07:31.040
<v Speaker 4>peeled throughout life, write them down, look for pain points,

1:07:31.120 --> 1:07:33.840
<v Speaker 4>look for pain points, look for problems. And then the

1:07:33.880 --> 1:07:35.960
<v Speaker 4>second the last thing is just a person thing is

1:07:36.200 --> 1:07:41.000
<v Speaker 4>don't take yourself too seriously, right, have fun with life.

1:07:41.160 --> 1:07:44.320
<v Speaker 4>And I think that that is because otherwise all this

1:07:44.360 --> 1:07:46.440
<v Speaker 4>stuff can create massive amounts of burnout.

1:07:46.600 --> 1:07:49.320
<v Speaker 2>And our final question, what do you know about the

1:07:49.320 --> 1:07:54.240
<v Speaker 2>world of buffered funds? Investing ETFs today might have been

1:07:54.280 --> 1:07:57.800
<v Speaker 2>healthful fifteen twenty years ago when you were first getting started?

1:07:59.520 --> 1:08:01.880
<v Speaker 3>How hard it would have been? Right?

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<v Speaker 2>Like? Literally would that have discouraged you from launching?

1:08:05.720 --> 1:08:07.880
<v Speaker 4>Yeah? Well, I think that was actually the superpower, Right

1:08:07.920 --> 1:08:09.600
<v Speaker 4>Like when you climb a mountain and you don't know

1:08:09.640 --> 1:08:12.160
<v Speaker 4>how high it is, and if there's a cloud base,

1:08:13.040 --> 1:08:16.360
<v Speaker 4>if you saw it and a clearer view, it probably

1:08:16.400 --> 1:08:18.599
<v Speaker 4>wouldn't be If you told me to quit my job

1:08:18.600 --> 1:08:20.519
<v Speaker 4>and I wouldn't get paid for four plus years, I

1:08:20.560 --> 1:08:23.080
<v Speaker 4>probably wouldn't have done that, huh. But then it's like

1:08:23.160 --> 1:08:26.519
<v Speaker 4>always success is always around the corner, at least you

1:08:26.640 --> 1:08:30.160
<v Speaker 4>dream of it, right, everybody sees what you are now.

1:08:30.320 --> 1:08:34.320
<v Speaker 4>They don't see the pain where you're constantly just waiting

1:08:34.320 --> 1:08:36.360
<v Speaker 4>for that cloud to clear on the next part of

1:08:36.360 --> 1:08:38.760
<v Speaker 4>the mountain. Because I could tell you this that like

1:08:38.840 --> 1:08:40.759
<v Speaker 4>if you saw how.

1:08:40.600 --> 1:08:43.360
<v Speaker 3>Big the mountain is, it would be nobody would.

1:08:43.160 --> 1:08:46.320
<v Speaker 2>Do it really really interesting. Thank you Jeff for being

1:08:46.400 --> 1:08:49.360
<v Speaker 2>so generous with your time. We have been speaking with

1:08:49.439 --> 1:08:53.600
<v Speaker 2>Jeff Chang, co founder and president of vest. If you

1:08:53.760 --> 1:08:56.559
<v Speaker 2>enjoy this conversation, well check out any of the six

1:08:56.680 --> 1:09:00.000
<v Speaker 2>hundred we've done over the past twelve years. You can

1:09:00.000 --> 1:09:03.799
<v Speaker 2>I find those at iTunes and Spotify, YouTube, Bloomberg, wherever

1:09:03.880 --> 1:09:07.360
<v Speaker 2>you get your favorite podcasts. I would be remiss if

1:09:07.360 --> 1:09:09.519
<v Speaker 2>I didn't thank the product staff that helps with these

1:09:09.520 --> 1:09:15.040
<v Speaker 2>conversations together each week. Alexis Norriega is my video producer.

1:09:15.160 --> 1:09:20.560
<v Speaker 2>Sean Russo is my researcher. Anna Luke is my podcast producer.

1:09:21.040 --> 1:09:24.960
<v Speaker 2>I'm Barry Ritoltz. You've been listening to Masters in Business

1:09:25.439 --> 1:09:26.639
<v Speaker 2>on Bloomberg Radio.