WEBVTT - Interview With Wesley Gray: Masters in Business (Audio)

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<v Speaker 1>Look ahead, imagine more, gain insight for your industry with

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<v Speaker 1>forward thinking advice from the professionals at Cone Resnick. Is

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<v Speaker 1>your business ready to break through? Find out more at

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<v Speaker 1>Cone resnick dot com. Slash Breakthrough. This week on the podcast,

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<v Speaker 1>I have an extra special guest. He's an old friend.

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<v Speaker 1>His name is Wes Gray, and he is not your

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<v Speaker 1>usual quant slash money manager. He is the founder and

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<v Speaker 1>CEO of Alpha architect Um, and he's also an unusual guy.

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<v Speaker 1>He uh comes out of uh University of Chicago in

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<v Speaker 1>an MBA PhD program and decides to take a little

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<v Speaker 1>time off in order to join the Marines, which he

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<v Speaker 1>did as a captain, went overseas in Iraq, where he

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<v Speaker 1>served as an information order officer embedded with the Iraqi Army,

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<v Speaker 1>and Um wrote a book about it, Colds Embedded and

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<v Speaker 1>Really a fascinating uh An unusual background discusses throughout his

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<v Speaker 1>career how Iraq and and the prosecution of war are

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<v Speaker 1>in some ways very similar to investing. Alpha architect is

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<v Speaker 1>a quantitative firm. Uh West crunches a lot of numbers.

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<v Speaker 1>He's a big believer in factor investing. He has long

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<v Speaker 1>since been a proponent of both momentum and value, which

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<v Speaker 1>is a somewhat unusual combination, but they are two of

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<v Speaker 1>the six main factors UH that are out there. I

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<v Speaker 1>thought the conversation was absolutely fascinating. If you are a

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<v Speaker 1>fan of quantitative investing, or if you enjoyed our previous

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<v Speaker 1>podcasts with people like Ammanual Derman or MEB Fabor or

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<v Speaker 1>any of the other quants we've spoken with, UH, you'll

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<v Speaker 1>really enjoy this. So, with no further ado, my conversation

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<v Speaker 1>with Wes Gray. This is Masters in Business with Barry

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<v Speaker 1>Ridholts on Bloomberg Radio. My special guest today is Dr

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<v Speaker 1>Wesley Gray. He is a former captain in the United

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<v Speaker 1>States Marine Corps. West graduated Magnicum Laudy from Morton. He

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<v Speaker 1>earned both his m b a. And PhD in finance

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<v Speaker 1>from the University of Chicago before becoming a professor of

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<v Speaker 1>finance at Drexel University. He currently runs the site Alpha Architect,

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<v Speaker 1>as well as running an asset management shop for high

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<v Speaker 1>net worth individuals. He is the author of three soon

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<v Speaker 1>to be four books on quantitative investing, as well as

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<v Speaker 1>numerous academic articles. Wes Gray, Welcome to Bloomberg. Very happy

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<v Speaker 1>to be here. So let's talk a little bit about

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<v Speaker 1>your background, because it's kind of unusual. Lots of people

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<v Speaker 1>take some time off between college and grad school. What

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<v Speaker 1>did you do between college and grad school? So what

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<v Speaker 1>I did is basically, right out of undergrad actually directly

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<v Speaker 1>enrolled in the University of Chicago paced program at ripe

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<v Speaker 1>old age of two, spent two years there getting hazed,

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<v Speaker 1>you know, fighting against Russian math champs to compete. And

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<v Speaker 1>then after two years in a PhD program, you you

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<v Speaker 1>get to your comps stage and I passed the comps

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<v Speaker 1>and I said, you know what, um twenty four, I'm

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<v Speaker 1>hating finance at the moment. I needed to do something

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<v Speaker 1>that I always wanted to do, and that was serve

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<v Speaker 1>in the military. So I asked for a special four

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<v Speaker 1>year sabbatical uh to basically serving the Marine Corps at

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<v Speaker 1>left for four years, which is probably first time that's

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<v Speaker 1>ever happened, I imagine in Chicago finance PhD program history,

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<v Speaker 1>and then came back and finished up. So let's not

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<v Speaker 1>skip over that middle part. Those four years were the

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<v Speaker 1>middle of the Iraq War. You were embedded with the

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<v Speaker 1>Iraqi Army as a captain or lieutenant. What was your rank.

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<v Speaker 1>When I was there as a lieutenant lieutenant, I called

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<v Speaker 1>you a first lieutenant. Yeah, well I got out as

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<v Speaker 1>a captain, but okay, I serving there as a first

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<v Speaker 1>lieutenant and your nickname amongst the Iraqis was Jamal. How

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<v Speaker 1>did that come about? Basically? I was the intel guy

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<v Speaker 1>in our our mid team military transition team, and so

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<v Speaker 1>the intel guy is supposed to know how to speak

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<v Speaker 1>the language, you know, how to influence the people. And

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<v Speaker 1>one of the things you learned about reading about Arab

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<v Speaker 1>culture is it's really important to learn the language and

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<v Speaker 1>hang out with the people in order to you know,

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<v Speaker 1>be able to better influence them. So I used to

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<v Speaker 1>hang out in what they call the swats Uh and

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<v Speaker 1>I was down there and they would always call me

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<v Speaker 1>lulas um gay because they can't say ours very well.

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<v Speaker 1>And I was like, you know what, guys, let's try

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<v Speaker 1>to find a language so instead of gay, instead of great.

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<v Speaker 1>You know, and it's usually not the greatest idea to

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<v Speaker 1>walk around with a bunch of Marines when when I

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<v Speaker 1>ras are calling you malasam gay, you just get some

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<v Speaker 1>ridicule subtimes um and they just couldn't say it, so

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<v Speaker 1>as like, can you guys, name me, and they literally

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<v Speaker 1>had like a naming party where there was probably fifty

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<v Speaker 1>Iraqis in the uh in this swaha it's maybe you know,

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<v Speaker 1>thousand square foot you know, cardboard building type thing, you

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<v Speaker 1>can think about it. And they came up with Jamal,

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<v Speaker 1>and then I was called Malasam Jamal, and uh, I

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<v Speaker 1>kind of like I actually that was my identity. Even

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<v Speaker 1>when I came back, I still felt like I was

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<v Speaker 1>Malasam Jamal. That's funny. So how did the Marines and

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<v Speaker 1>your your time in Iraq helped prepare you for a

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<v Speaker 1>career as a quant in in finance. I'd say the

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<v Speaker 1>biggest thing is just understanding that in all endeavors, humans

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<v Speaker 1>are involved. And when humans are involved in any sort

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<v Speaker 1>of decision making or activity where there's a lot of emotion,

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<v Speaker 1>stress and chaos, they do crazy things. There's certainly a

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<v Speaker 1>level of emotion involved there. And I think in the

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<v Speaker 1>military what you learn is it's all about standard operating procedures,

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<v Speaker 1>training to do things that seem you know, mundane and

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<v Speaker 1>dumb and checklist driven now, but when you get into

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<v Speaker 1>a chaotic situation, you think, God, you did that, so

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<v Speaker 1>you don't rely on your natural action you're rely on

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<v Speaker 1>your standard operating procedure. You know. Perfect example might be

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<v Speaker 1>I remember I was in the palm groves, an area

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<v Speaker 1>called Haditha, which is kind of you think out in

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<v Speaker 1>Alomar Province where a lot of the isis guys are

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<v Speaker 1>now and I was on Iraqi patrol and literally a

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<v Speaker 1>dude gets shot in the chest fifteen feet in front

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<v Speaker 1>of me. You know, natural action is hit the deck,

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<v Speaker 1>you know, go to the ground as fast as possible.

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<v Speaker 1>Another natural action, which you're not supposed to do, is

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<v Speaker 1>go run to the person who just got shot and

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<v Speaker 1>see what beat on him? And now that and they're

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<v Speaker 1>gonna go shoot me now, so what. But what you

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<v Speaker 1>train to is when there's a casualty, the first thing

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<v Speaker 1>you do is hit the deck, fine cover, figure out

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<v Speaker 1>where the other guys are, to make sure you secure

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<v Speaker 1>the area. The only way that you you have a

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<v Speaker 1>reaction to do that because you have stand operating procedure

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<v Speaker 1>and you're trained to that standard. Just like in financial markets,

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<v Speaker 1>I think a lot of time, like let's say there's

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<v Speaker 1>a fifty draw down in your portfolio, your gut reaction

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<v Speaker 1>is sell everything. But that's not what you should probably do.

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<v Speaker 1>So you need to have a process or something in

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<v Speaker 1>place before you hit chaos. So when you're actually in chaos,

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<v Speaker 1>you you know, you're act in a more rational, i'd

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<v Speaker 1>say logical way, And I think that you see a

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<v Speaker 1>lot of that between military and investing. You know, I

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<v Speaker 1>started on a trading desk. The head of the desk

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<v Speaker 1>was a former Marine jungle combat instructor. There was someone

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<v Speaker 1>else who was a former seal on the desk. Now,

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<v Speaker 1>what I always found fascinating wasn't just the standard operating

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<v Speaker 1>procedure for what to do. It was preparing emotionally for

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<v Speaker 1>the firefight. Like, how can an investor prepare emotionally for

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<v Speaker 1>those big draw downs? Yes, so I think it's just

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<v Speaker 1>like in the military. You try to train as close

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<v Speaker 1>as you can to fight and have ultimate faith and

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<v Speaker 1>confidence in the leadership and the decisions and the process

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<v Speaker 1>that you believe in. And when you have that, i'd

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<v Speaker 1>say belief in what you're doing, and you really put

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<v Speaker 1>a you know, good faith effort into working on that.

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<v Speaker 1>When you hit chaos, if you believe in your training,

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<v Speaker 1>you're more likely than not to stick with that process.

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<v Speaker 1>I'm Barry Ridhults. You're listening to Masters in Business on

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<v Speaker 1>Bloomberg Radio. My special guest today is West Gray. He

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<v Speaker 1>is a former captain in the Marines, served as an

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<v Speaker 1>in bed with the Iraqi Army on behalf of the

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<v Speaker 1>U S Marines. He runs a shop called Alpha Architect

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<v Speaker 1>and has written numerous books on quantitative investing. Let's talk

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<v Speaker 1>about a book of viewers that I really enjoyed quantitative value.

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<v Speaker 1>When we think of quantz and we think of value investors,

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<v Speaker 1>we really don't think of those as having a big overlap. Up.

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<v Speaker 1>Tell us how you came to the idea of value

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<v Speaker 1>that was quantitatively driven. Sure, so I had start out

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<v Speaker 1>with this being a total bible thumping Ben Graham intelligent

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<v Speaker 1>investor stockpicker did that for ten years my own personal money,

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<v Speaker 1>and thank god I had the opportunity to eat a

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<v Speaker 1>lot of humble pie along the way, and I was thinking,

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<v Speaker 1>you know what, this whole Warren Buffett Ben Graham idea

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<v Speaker 1>makes total sense to me. But after you get engaged

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<v Speaker 1>in the activity of stockpicking, you realize that you get

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<v Speaker 1>very emotionally involved. And even if you understand the biases

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<v Speaker 1>you've memorized. You know Kniman's book, even if you know it,

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<v Speaker 1>and you know how the biases influence you. You start

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<v Speaker 1>to realize you still can't control against the biases. So

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<v Speaker 1>I thought, hey, you know, fundamentally, value investing makes sense

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<v Speaker 1>by cheap stuff everyone hates. Great. The problem is hold

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<v Speaker 1>it for a long time, hold your nose when inevitably

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<v Speaker 1>it told the underperforms for potentially multi air stretches um.

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<v Speaker 1>But at the same time, how can we implement this

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<v Speaker 1>process in an objective discipline way such that I can

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<v Speaker 1>pull out monkey brain from making bad decisions, uh, you know,

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<v Speaker 1>from trying to be a stock picker, because I learned

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<v Speaker 1>my lessons basically on that. That's quite fascinating. So some

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<v Speaker 1>of the things you reference in the book. Obviously the

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<v Speaker 1>benefits of using a quant approach is you're taking out

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<v Speaker 1>the human elements. One of the things you reference in

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<v Speaker 1>the book is the importance of finding the highest quality stocks.

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<v Speaker 1>So first, what does it mean when we say a

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<v Speaker 1>stock is high quality? And then how do you screen

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<v Speaker 1>for those? Sure? So, so stepping back, it's really important

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<v Speaker 1>when we when we talk about quality in the context investing,

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<v Speaker 1>to understand given it's already cheap. So with value investing

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<v Speaker 1>the way we look at it, you have to be

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<v Speaker 1>buying the stress cheapest securities in the market. Only within

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<v Speaker 1>the cheap does quality start to help add value. So

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<v Speaker 1>if you just look at quality as a standalone, you know,

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<v Speaker 1>characteristic of a security, it's unclear that it adds any

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<v Speaker 1>quote unquote alpha or edge. It's all about looking at quality.

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<v Speaker 1>Given you're in the cheap stocks everyone hates. So the

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<v Speaker 1>step one is screened for an expensive stock. Step two

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<v Speaker 1>is within those cheap stocks. So how do you identify

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<v Speaker 1>what's quality and what's not amongst the cheap So, given

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<v Speaker 1>we're in the in the cheap bin, which are security,

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<v Speaker 1>obviously there's something going on and that's why they're cheap.

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<v Speaker 1>We have a table like the we call it the

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<v Speaker 1>quality table. There's two legs to it. There's understanding the

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<v Speaker 1>fundamental quality of the business and there's another thing called

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<v Speaker 1>current financial strength. So in assessing economic mode, we try

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<v Speaker 1>to objectively ascertain is this company a good business? How

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<v Speaker 1>do we do that? We look at things like long

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<v Speaker 1>term geometric means on return on assets, return on capital.

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<v Speaker 1>We look at long term free cash flow generation, profit

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<v Speaker 1>margin dynamics, like if you have fifty percent margin year

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<v Speaker 1>and year out, that's probably good business and we want

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<v Speaker 1>to quantify the quality of this business to essentially generate

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<v Speaker 1>returns hopefully an excess of their cost of capital. But

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<v Speaker 1>that's not enough. That's leg one because we're dealing with

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<v Speaker 1>cheap stocks that have issues. So we can one ascertain

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<v Speaker 1>that there historically have some indication of being a good business.

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<v Speaker 1>But then current financial strength is now at ten point

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<v Speaker 1>checklist where we want to make sure are you going

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<v Speaker 1>to survive the next few years? I e. Are you

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<v Speaker 1>making money? Are you're paying down debt? Are your repurchasing stock?

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<v Speaker 1>Is your current ratio is improving? Uh, it's literally like

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<v Speaker 1>a pre flight checklist. So are you a quality business

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<v Speaker 1>organically and do you have the current financial stature to

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<v Speaker 1>live for the next few years? So eventually hopefully you

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<v Speaker 1>can get revalued up to not be a value stock

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<v Speaker 1>anymore and hopefully be a growth stock in the future.

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<v Speaker 1>So is it safe to say that companies with strong

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<v Speaker 1>balance sheets have stocks that outperform? Or is that overstating it?

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<v Speaker 1>I think it is. I think cheap stocks with strong

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<v Speaker 1>balance sheets on a risk adjusted basis and from a

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<v Speaker 1>you know, betting standpoint, or better than cheap stocks with

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<v Speaker 1>bad balance sheets independently. No, because there's a few reasons

0:13:23.840 --> 0:13:27.920
<v Speaker 1>why everyone knows Google is great, Facebook's great, Procter and

0:13:27.960 --> 0:13:30.719
<v Speaker 1>Gambles great, So what's the edge? And then secondly, it's

0:13:30.720 --> 0:13:34.800
<v Speaker 1>also easy to buy those names for someone to recommend them.

0:13:34.840 --> 0:13:37.920
<v Speaker 1>So it's emotionally. Emotionally or are you referring to the

0:13:37.920 --> 0:13:41.840
<v Speaker 1>principal agency issue the principal agent problem? And also just emotionally,

0:13:41.880 --> 0:13:45.840
<v Speaker 1>it's easy to own high quality securities. But when you

0:13:45.880 --> 0:13:48.840
<v Speaker 1>look at it objectively from like an evidence based standpoint,

0:13:49.440 --> 0:13:52.960
<v Speaker 1>just as an independent analysis to I, we think quality

0:13:53.080 --> 0:13:55.400
<v Speaker 1>is not that valuable and it doesn't make any sense

0:13:55.400 --> 0:13:58.880
<v Speaker 1>it would have edge were cheapness. Everyone hates these things.

0:13:58.920 --> 0:14:02.240
<v Speaker 1>They're hard to own, like it's crazy, They're hard to hold.

0:14:02.280 --> 0:14:05.520
<v Speaker 1>There's a lot of pain involved and unfortunately, you know,

0:14:05.600 --> 0:14:08.120
<v Speaker 1>just like in the Marine Corps, no pain, no gain.

0:14:08.520 --> 0:14:12.120
<v Speaker 1>You know that that BAC holds and financial markets unfortunately

0:14:12.200 --> 0:14:16.319
<v Speaker 1>as well. So let's talk about stocks that can cause

0:14:16.640 --> 0:14:19.080
<v Speaker 1>permanent loss of capital. There's a chapter in the book

0:14:19.360 --> 0:14:22.600
<v Speaker 1>where you discuss that how do you avoid these stocks?

0:14:22.640 --> 0:14:26.200
<v Speaker 1>What do you look for to avoid owning names that

0:14:26.240 --> 0:14:28.280
<v Speaker 1>are going to go down and never come up? The

0:14:28.520 --> 0:14:31.760
<v Speaker 1>classic value trap, the value trap. Yeah, you catch the

0:14:31.800 --> 0:14:35.000
<v Speaker 1>falling knife, as they called on the way down. So, uh,

0:14:35.200 --> 0:14:37.120
<v Speaker 1>three of them are basically there's there's two or three

0:14:37.120 --> 0:14:39.960
<v Speaker 1>ways you can think about permanent loss of capital, and

0:14:40.000 --> 0:14:43.280
<v Speaker 1>these are One would be like a fraud or manipulation.

0:14:43.600 --> 0:14:45.880
<v Speaker 1>So if it comes out that the business you thought

0:14:46.120 --> 0:14:48.480
<v Speaker 1>that was making a billion dollars a year is actually

0:14:48.560 --> 0:14:51.880
<v Speaker 1>making zero, that's gonna be a bad news for equity holders.

0:14:52.320 --> 0:14:55.440
<v Speaker 1>I would guess, Yeah, same thing with manipulation, like oh

0:14:55.560 --> 0:14:58.120
<v Speaker 1>we thought we had this, now we have this other thing.

0:14:58.400 --> 0:15:01.080
<v Speaker 1>And then the other one that's that's obviously is financial

0:15:01.080 --> 0:15:04.360
<v Speaker 1>distress or bankruptcy. You can own the best business in

0:15:04.400 --> 0:15:07.280
<v Speaker 1>the world, but if you're an equity holder and this

0:15:07.400 --> 0:15:10.400
<v Speaker 1>firm is in distress, the debt holders might end up

0:15:10.400 --> 0:15:14.160
<v Speaker 1>owning that great company, not you as the stockholders. So

0:15:14.160 --> 0:15:16.520
<v Speaker 1>so by the time that news comes out, it's too late.

0:15:16.680 --> 0:15:20.480
<v Speaker 1>What can investors do to avoid owning those names? What

0:15:20.600 --> 0:15:22.960
<v Speaker 1>signs should they be looking for? Sure? So, so we

0:15:23.040 --> 0:15:25.520
<v Speaker 1>do is we leverage a lot of uh, I guess

0:15:25.560 --> 0:15:29.200
<v Speaker 1>you call them technologies in academic literature where people have

0:15:29.320 --> 0:15:33.640
<v Speaker 1>built up statistical constructs to try to predict who's most

0:15:33.720 --> 0:15:37.080
<v Speaker 1>likely or red flagged as being a manipulator, fraud ster,

0:15:37.440 --> 0:15:40.120
<v Speaker 1>or potentially going to be in a financial distress situation,

0:15:40.560 --> 0:15:42.760
<v Speaker 1>and we just at the outset say hey, if you're

0:15:42.800 --> 0:15:45.480
<v Speaker 1>extreme red flagging on any of these sort of things,

0:15:46.280 --> 0:15:47.880
<v Speaker 1>you're not in our You're not even gonna be in

0:15:47.880 --> 0:15:51.000
<v Speaker 1>our potential. Just remo. We're removing, yeah, because we don't

0:15:51.000 --> 0:15:54.480
<v Speaker 1>want to buy your falling knife situation. I'm Barry Hults.

0:15:54.680 --> 0:15:58.240
<v Speaker 1>You're listening to Masters in Business on Bloomberg Radio. My

0:15:58.320 --> 0:16:02.000
<v Speaker 1>special guest today is Wes League Gray. He is a

0:16:02.040 --> 0:16:05.080
<v Speaker 1>retired captain in the U. S. Marine Corps, an m

0:16:05.160 --> 0:16:08.560
<v Speaker 1>b A and PhD out of the University of Chicago.

0:16:08.960 --> 0:16:13.920
<v Speaker 1>He now runs Alpha Architect, which is a unique quantitative

0:16:14.280 --> 0:16:18.960
<v Speaker 1>asset management firm. And the first book he wrote was

0:16:19.080 --> 0:16:23.760
<v Speaker 1>called Embedded, which is something that you pretty much pens

0:16:24.200 --> 0:16:27.560
<v Speaker 1>right after getting out of the Marine Corps and after

0:16:27.600 --> 0:16:30.480
<v Speaker 1>spending was it four years in Iraq? Is that about right?

0:16:30.560 --> 0:16:33.000
<v Speaker 1>It was four years in the service I did uh.

0:16:33.240 --> 0:16:36.160
<v Speaker 1>I was there for a standard Marine seven months deployment

0:16:36.600 --> 0:16:40.200
<v Speaker 1>in a place called Haditha which down el Ombar Province there.

0:16:40.280 --> 0:16:42.880
<v Speaker 1>So what motivated you to sit down and write a

0:16:42.880 --> 0:16:44.680
<v Speaker 1>book when you get back that had nothing to do

0:16:44.720 --> 0:16:47.880
<v Speaker 1>with finance. That was strictly about your time with the Marines.

0:16:48.320 --> 0:16:51.160
<v Speaker 1>When it was is you know, I remember before the

0:16:51.200 --> 0:16:54.840
<v Speaker 1>Iraq War, had Colin Pale show us that little white

0:16:55.080 --> 0:16:58.120
<v Speaker 1>you know bottle that you're all gonna die, and I

0:16:58.160 --> 0:16:59.600
<v Speaker 1>was like, you know, this is kind of maybe a

0:16:59.640 --> 0:17:02.040
<v Speaker 1>survive of a war. This is a pretty important thing.

0:17:02.360 --> 0:17:04.760
<v Speaker 1>I'm a buyer, I'm a believer. And then you know,

0:17:04.800 --> 0:17:07.000
<v Speaker 1>so when in a Marine Corps, not really for that reason.

0:17:07.040 --> 0:17:09.280
<v Speaker 1>I just want to do my service. But when I

0:17:09.080 --> 0:17:11.520
<v Speaker 1>was I thought, hey, this is a mission that makes sense.

0:17:11.840 --> 0:17:14.560
<v Speaker 1>You know, it's a win win for America and hopefully

0:17:14.560 --> 0:17:17.120
<v Speaker 1>for the Rockies what have you. But then after actually

0:17:17.400 --> 0:17:21.119
<v Speaker 1>living and being embedded with the people, I started to

0:17:21.119 --> 0:17:24.919
<v Speaker 1>realize that, you know, culture matters, and we're we're in

0:17:24.960 --> 0:17:28.119
<v Speaker 1>a in this war now, we're really taking on a

0:17:28.200 --> 0:17:31.320
<v Speaker 1>fifty two year commitment because we're gonna try to change

0:17:31.640 --> 0:17:34.760
<v Speaker 1>culture and not easy to do. Not easy to do.

0:17:34.800 --> 0:17:38.920
<v Speaker 1>And I would argue it's very, very time intensive and costly,

0:17:39.440 --> 0:17:42.399
<v Speaker 1>and that's fine as a decision, but let's weigh that

0:17:42.480 --> 0:17:45.720
<v Speaker 1>against the potential benefits um and that book just really

0:17:45.760 --> 0:17:49.240
<v Speaker 1>opened my eyes to understanding. I would say just Arab

0:17:49.280 --> 0:17:52.760
<v Speaker 1>culture in general, and how the way they think about

0:17:53.320 --> 0:17:55.359
<v Speaker 1>the world is just so much different than us. And

0:17:55.359 --> 0:17:58.560
<v Speaker 1>then the idea that we can impose, you know, our

0:17:58.640 --> 0:18:01.320
<v Speaker 1>ideas and how we think about the world on them,

0:18:01.760 --> 0:18:04.040
<v Speaker 1>it just doesn't work. And I have an analogy here.

0:18:04.400 --> 0:18:06.920
<v Speaker 1>It's like, you know, it's a fish trying to tell

0:18:06.960 --> 0:18:09.199
<v Speaker 1>me how to breed it underwater, Like I understand I

0:18:09.240 --> 0:18:11.800
<v Speaker 1>need gills and understand you need to get oxygen, but

0:18:12.080 --> 0:18:14.160
<v Speaker 1>it doesn't work for me. Like it's just we all

0:18:14.240 --> 0:18:17.159
<v Speaker 1>understand each other kind of, but we just it's not

0:18:17.200 --> 0:18:20.080
<v Speaker 1>gonna work. Um. And that that was the biggest insight

0:18:20.119 --> 0:18:22.240
<v Speaker 1>when I had to share it, because it changed my

0:18:22.320 --> 0:18:26.399
<v Speaker 1>mind about the whole thing one eighty about why are

0:18:26.400 --> 0:18:29.800
<v Speaker 1>we here? And is this really a positive MPV project

0:18:29.840 --> 0:18:33.040
<v Speaker 1>for us? So so you can't really just walk into

0:18:33.040 --> 0:18:35.520
<v Speaker 1>a country with a completely different set of mores and

0:18:35.560 --> 0:18:37.840
<v Speaker 1>cultures and say here's how you do it. That's not

0:18:37.840 --> 0:18:42.639
<v Speaker 1>gonna fly, no, no, yeah, yeah exactly. It seems obviously

0:18:42.760 --> 0:18:45.800
<v Speaker 1>trivial after the fact, but yeah, but beforehand, you know,

0:18:45.960 --> 0:18:49.240
<v Speaker 1>that's the classic hindsight bias. It's easy to say these things.

0:18:49.200 --> 0:18:55.159
<v Speaker 1>Acts in In early two thousand three, a handful of

0:18:55.200 --> 0:18:58.960
<v Speaker 1>people were warning about that. Everybody remembers the big Eric

0:18:58.960 --> 0:19:02.639
<v Speaker 1>san Seki, the Army general, warning about you're not gonna

0:19:02.640 --> 0:19:04.439
<v Speaker 1>do this with a hundred thousand troops. You need a

0:19:04.440 --> 0:19:08.600
<v Speaker 1>half a million troops. It's more than just hearts and minds.

0:19:08.600 --> 0:19:11.720
<v Speaker 1>It's really a long process. Nobody wants to hear that

0:19:11.800 --> 0:19:15.040
<v Speaker 1>before you go in. Yeah, the biggest insight I got action.

0:19:15.160 --> 0:19:17.240
<v Speaker 1>And also it's a lot of the things I cite

0:19:17.240 --> 0:19:20.120
<v Speaker 1>and embedded. It is just my conversations with the actual

0:19:20.240 --> 0:19:23.280
<v Speaker 1>Rocky people about why they thought we were so weird

0:19:23.320 --> 0:19:25.879
<v Speaker 1>and crazy and the things that we did say that

0:19:25.960 --> 0:19:28.560
<v Speaker 1>was that the readers, these Americans are crazy. Um. They

0:19:28.640 --> 0:19:31.160
<v Speaker 1>try to explain to me their perspective, and a perfect

0:19:31.200 --> 0:19:33.600
<v Speaker 1>one is okay. So you guys want to go bring

0:19:33.640 --> 0:19:37.400
<v Speaker 1>democracy and freedom to the Rocky people, and you've done that.

0:19:37.600 --> 0:19:41.000
<v Speaker 1>But here's the problem. When you let a country of

0:19:41.160 --> 0:19:45.240
<v Speaker 1>cage lions totally free out of their cage, you don't

0:19:45.280 --> 0:19:48.280
<v Speaker 1>give them freedom and Rocky to give them anarchy because

0:19:48.320 --> 0:19:51.520
<v Speaker 1>you guys in America have a lot of implicit structures,

0:19:51.520 --> 0:19:55.600
<v Speaker 1>either legal, culturally or trust. Like we're tribal here, guys

0:19:55.640 --> 0:19:57.720
<v Speaker 1>like like we don't have a lot of that kind

0:19:57.720 --> 0:20:00.760
<v Speaker 1>of ether in your culture there that it's in stitutionalized

0:20:00.840 --> 0:20:04.960
<v Speaker 1>here there exactly. In fact, you wrote, the tribe matters

0:20:05.080 --> 0:20:07.560
<v Speaker 1>much more than the state. There, you got it. So

0:20:07.560 --> 0:20:09.760
<v Speaker 1>so the idea that you can bring us freedom and

0:20:09.840 --> 0:20:13.359
<v Speaker 1>democracy and that's a great thing, and you're helping us, No,

0:20:13.680 --> 0:20:17.040
<v Speaker 1>you're giving us anarchy. And everyone has a house with

0:20:17.119 --> 0:20:20.080
<v Speaker 1>one ak in thirty round seven six to mag And

0:20:20.119 --> 0:20:22.000
<v Speaker 1>guess what if there's not enough police, if I don't

0:20:22.040 --> 0:20:25.439
<v Speaker 1>like my neighbor, I'm gonna go shoot him because that's freedom.

0:20:25.480 --> 0:20:28.040
<v Speaker 1>And you guys don't do that in America. You're not

0:20:28.119 --> 0:20:31.480
<v Speaker 1>really that free. You're still constrained by civil laws and

0:20:31.480 --> 0:20:33.960
<v Speaker 1>and all these other things. And the idea that when

0:20:33.960 --> 0:20:36.840
<v Speaker 1>you give us freedom, you somehow are gonna help us out, No,

0:20:37.960 --> 0:20:40.920
<v Speaker 1>you're you're you're destroying all law and order in anything

0:20:40.960 --> 0:20:43.960
<v Speaker 1>that resembled a society here. So so let's bring this

0:20:44.040 --> 0:20:48.119
<v Speaker 1>back to finance. So what did you learn from the

0:20:48.160 --> 0:20:51.320
<v Speaker 1>experience there that you were able to bring to the

0:20:51.359 --> 0:20:54.040
<v Speaker 1>world of finance. You know, I think it's a lot

0:20:54.040 --> 0:20:56.960
<v Speaker 1>of times like coming from a you know, PhD. University

0:20:56.960 --> 0:21:01.280
<v Speaker 1>of Chicago, everyone's rational. This is how the markets work,

0:21:01.800 --> 0:21:05.960
<v Speaker 1>and yeah, they're probably right, but that fails to consider humans.

0:21:06.119 --> 0:21:10.840
<v Speaker 1>And there's humans operate in the economy, not agents, rational agents.

0:21:10.840 --> 0:21:12.919
<v Speaker 1>So I think just like when when we go to

0:21:12.960 --> 0:21:17.600
<v Speaker 1>a situation like Irock on paper, Yeah, go bring him freedom, democracy,

0:21:17.640 --> 0:21:19.760
<v Speaker 1>and they will become like America and everyone will have

0:21:19.800 --> 0:21:23.320
<v Speaker 1>a you know, a pick, white picket fence and three kids.

0:21:23.640 --> 0:21:26.120
<v Speaker 1>But then you start realizing, wait a second, there's cultural

0:21:26.119 --> 0:21:29.720
<v Speaker 1>issues here. There's human elements. Same thing in finance. Yeah,

0:21:29.760 --> 0:21:32.280
<v Speaker 1>you should go buy cheap stocks and do it, Warren

0:21:32.280 --> 0:21:34.840
<v Speaker 1>Buffett does. Why doesn't everyone do that? Well, because there's

0:21:34.920 --> 0:21:38.159
<v Speaker 1>humans involving finance, and it's really really hard. It's really

0:21:38.160 --> 0:21:41.040
<v Speaker 1>really hard, and we always need to consider the behavioral

0:21:41.119 --> 0:21:44.400
<v Speaker 1>human element of decision making. I'm Barry rid Hilts. You're

0:21:44.520 --> 0:21:48.280
<v Speaker 1>listening to Master's in Business on Bloomberg Radio. My special

0:21:48.320 --> 0:21:52.600
<v Speaker 1>guest today is West Gray. He runs the quantitative asset

0:21:52.680 --> 0:21:58.159
<v Speaker 1>management firm Alpha Architect. Let's talk a little bit about

0:21:58.359 --> 0:22:03.359
<v Speaker 1>quants on Wall Street. So, first question, what do people

0:22:03.840 --> 0:22:10.119
<v Speaker 1>misunderstand about quants and their models in the world of finance. Sure,

0:22:10.200 --> 0:22:13.199
<v Speaker 1>so I probably can't speak on behalf of all quants

0:22:13.200 --> 0:22:15.280
<v Speaker 1>because like every walks of life. There's a lot of

0:22:15.320 --> 0:22:18.600
<v Speaker 1>varieties within that segment. In one corner when it when

0:22:18.600 --> 0:22:21.440
<v Speaker 1>you talk about a quant you think about the physics

0:22:21.480 --> 0:22:26.280
<v Speaker 1>PhD who's never read a finance book ever. He's data mining,

0:22:26.440 --> 0:22:30.720
<v Speaker 1>building crazy models and C plus plus and do whatever

0:22:30.760 --> 0:22:34.000
<v Speaker 1>they do. That that's not the type of quant analysis

0:22:34.000 --> 0:22:37.640
<v Speaker 1>that we bring to the table. We're we're essentially economists

0:22:37.680 --> 0:22:40.359
<v Speaker 1>that are trying to think about how the machine works,

0:22:40.359 --> 0:22:43.760
<v Speaker 1>and we just leverage quantitative analysis and tools that basically

0:22:43.760 --> 0:22:46.439
<v Speaker 1>allow us to conduct what we consider like scientific method

0:22:46.480 --> 0:22:49.480
<v Speaker 1>as best we can. So we have competing hypotheses about

0:22:49.560 --> 0:22:52.800
<v Speaker 1>how the world works. We grab data, we test these

0:22:52.800 --> 0:22:57.200
<v Speaker 1>competing hypotheses, and we're always trying to get better evidence

0:22:57.200 --> 0:23:00.800
<v Speaker 1>space investing. It's not just let's data mind, because we've

0:23:00.840 --> 0:23:04.720
<v Speaker 1>got better computers and more physics PhDs like we're we're

0:23:04.720 --> 0:23:08.640
<v Speaker 1>basically fundamental investors that use quantitative tools to help our

0:23:08.680 --> 0:23:11.280
<v Speaker 1>process and how we think about things in the world.

0:23:11.520 --> 0:23:14.960
<v Speaker 1>So from your perspective, then models are really never finished.

0:23:15.000 --> 0:23:18.200
<v Speaker 1>You're constantly testing them and seeing how can I make

0:23:18.200 --> 0:23:20.879
<v Speaker 1>this better? Where can it be improved, or what may

0:23:20.920 --> 0:23:23.080
<v Speaker 1>have changed in the market. That means that this model

0:23:23.160 --> 0:23:26.280
<v Speaker 1>is no longer delivering any sort of advantage or edge

0:23:26.320 --> 0:23:29.200
<v Speaker 1>that it might have been previously. Sure, there's an element

0:23:29.240 --> 0:23:31.399
<v Speaker 1>of that, and then but the other element is is

0:23:31.520 --> 0:23:36.280
<v Speaker 1>understanding that when you start going down the model creep situation,

0:23:36.560 --> 0:23:38.399
<v Speaker 1>it's it's like the old game where the kids, like

0:23:38.440 --> 0:23:41.760
<v Speaker 1>the little girl first says, hey, you know, the princess

0:23:41.880 --> 0:23:44.280
<v Speaker 1>kissed the fraud and by the end of the circle,

0:23:44.720 --> 0:23:46.960
<v Speaker 1>it's like, you know, Spider Man beat up he Man.

0:23:47.240 --> 0:23:49.080
<v Speaker 1>So it's a total different story. And it's all because

0:23:49.080 --> 0:23:51.439
<v Speaker 1>you have small little changes where you end up in

0:23:51.480 --> 0:23:53.639
<v Speaker 1>a total object place you wanted to end up in

0:23:53.640 --> 0:23:56.159
<v Speaker 1>the first place. So when when we build models, and

0:23:56.200 --> 0:23:59.679
<v Speaker 1>when we think about it, it's very very time and

0:23:59.720 --> 0:24:02.439
<v Speaker 1>ten set of an R and D intenses up front

0:24:02.680 --> 0:24:08.320
<v Speaker 1>to build the simplest, most robust model we can Simpilicity

0:24:08.359 --> 0:24:12.439
<v Speaker 1>beats complexity definitely, because we want to look for the

0:24:12.680 --> 0:24:16.040
<v Speaker 1>what is the real signal here, not the noise, and

0:24:16.119 --> 0:24:19.040
<v Speaker 1>let's just focus on that signal. And what we've found

0:24:19.119 --> 0:24:23.560
<v Speaker 1>is that in financial markets, frankly, nothing's changed. Human behavior

0:24:23.800 --> 0:24:28.399
<v Speaker 1>is pretty constant, and incentives, specifically like this principal agent

0:24:28.520 --> 0:24:32.720
<v Speaker 1>delegating asset management problem, those are two constants, and they

0:24:32.840 --> 0:24:35.240
<v Speaker 1>derive a lot of predictions about what works and what

0:24:35.359 --> 0:24:38.879
<v Speaker 1>doesn't work. And we keep coming back to the same themes.

0:24:39.200 --> 0:24:43.560
<v Speaker 1>Value by cheap stuff, momentum by relatively strong stuff, and

0:24:43.600 --> 0:24:47.600
<v Speaker 1>trend being good trends and everything we look at at

0:24:47.640 --> 0:24:51.080
<v Speaker 1>having memorized, like most of these databases at this point,

0:24:51.440 --> 0:24:56.840
<v Speaker 1>it's it's those three simple muscle limits usually drive all

0:24:56.920 --> 0:25:00.760
<v Speaker 1>other perturbation of anomaly or fact or whatever the heck.

0:25:00.760 --> 0:25:04.160
<v Speaker 1>Super looking, So, how do you have momentum and trends

0:25:04.920 --> 0:25:07.200
<v Speaker 1>as the same group, because normally when you're saying by

0:25:07.280 --> 0:25:11.960
<v Speaker 1>trends you're buying strong stuff going up, but value you're

0:25:12.000 --> 0:25:15.320
<v Speaker 1>buying weak stuff that everybody hates. Yeah, So so really

0:25:15.320 --> 0:25:18.480
<v Speaker 1>the way we look at value and momentum in particular,

0:25:19.000 --> 0:25:21.639
<v Speaker 1>is there really two sides of the same behavioral coins.

0:25:21.640 --> 0:25:25.120
<v Speaker 1>So if you look at value, one of the arguments

0:25:25.160 --> 0:25:28.280
<v Speaker 1>for why it outperforms is obviously it could be more risky,

0:25:28.280 --> 0:25:31.119
<v Speaker 1>and we can't discount that. That's surely one component. But

0:25:31.200 --> 0:25:33.919
<v Speaker 1>there is a mispricing component, we think, and that's what

0:25:34.040 --> 0:25:37.400
<v Speaker 1>is that an inefficiency? It is, but it's it's hard

0:25:37.440 --> 0:25:40.639
<v Speaker 1>to arbitrage, which we can discuss. But what values driven

0:25:40.680 --> 0:25:43.240
<v Speaker 1>by we think, and by we I mean, like the

0:25:43.280 --> 0:25:48.080
<v Speaker 1>academic research community, is an overreaction to bad news. Essentially,

0:25:48.080 --> 0:25:52.120
<v Speaker 1>they throw the baby out at the bathwater. On average momentum,

0:25:52.160 --> 0:25:54.879
<v Speaker 1>it turns out is there's two competing theories, Like we're

0:25:54.880 --> 0:25:58.080
<v Speaker 1>talking about relative strength momentum, which is the classic kind

0:25:58.080 --> 0:26:03.600
<v Speaker 1>of stock selection momentum academics discuss, and that the proponse

0:26:03.680 --> 0:26:07.200
<v Speaker 1>of the evidence is that it's an under reaction to

0:26:07.440 --> 0:26:12.439
<v Speaker 1>positive news, so values and overrea to bad news. The

0:26:12.680 --> 0:26:15.879
<v Speaker 1>evidence in general seems to suggest that momentum is more

0:26:15.880 --> 0:26:19.800
<v Speaker 1>of an underreaction to positive news that's being signaled in

0:26:19.960 --> 0:26:22.880
<v Speaker 1>the price. But because people are overconfident in their own

0:26:22.880 --> 0:26:26.480
<v Speaker 1>information set, even though the price keeps telling them yeah,

0:26:26.520 --> 0:26:29.000
<v Speaker 1>and there's disposition effects. You know, you're supposed to let

0:26:29.000 --> 0:26:30.879
<v Speaker 1>your winners ride and cut your newsers short. What do

0:26:30.960 --> 0:26:33.280
<v Speaker 1>people do the opposite? So there's a lot of kind

0:26:33.280 --> 0:26:36.720
<v Speaker 1>of organic, you know, fake supply that comes on the

0:26:36.760 --> 0:26:40.520
<v Speaker 1>market for high momentum stocks, and they're only because they're

0:26:40.520 --> 0:26:43.560
<v Speaker 1>a winner. People are hey, hit the bed. Nobody. I

0:26:43.720 --> 0:26:45.760
<v Speaker 1>when I started, I used to hear this all the time,

0:26:45.760 --> 0:26:48.320
<v Speaker 1>and it turns out to be terrible advice. Nobody ever

0:26:48.440 --> 0:26:50.919
<v Speaker 1>went broke taking a profit. Yeah, exactly, And that's the

0:26:50.960 --> 0:26:54.639
<v Speaker 1>worst just supply for for a momentum. Yeah, it just

0:26:54.680 --> 0:26:57.639
<v Speaker 1>puts supply into the market when maybe the fundamental should

0:26:57.640 --> 0:27:00.439
<v Speaker 1>be the stocks should be worth a hunted and starts

0:27:00.440 --> 0:27:02.359
<v Speaker 1>at eighty, but it can only go to ninety because

0:27:02.359 --> 0:27:04.439
<v Speaker 1>as it starts moving, and who wants to be the

0:27:04.520 --> 0:27:07.520
<v Speaker 1>last guy owning it on the highest peak? Fear of

0:27:07.520 --> 0:27:09.760
<v Speaker 1>looking stupid? Yeah, fair looking stupid. So I love the

0:27:09.800 --> 0:27:13.560
<v Speaker 1>symmetry of overreaction on the value side undreaction on the

0:27:13.560 --> 0:27:15.960
<v Speaker 1>momentum side. Let me throw a little bit of a

0:27:16.000 --> 0:27:19.320
<v Speaker 1>curve ball again. What I learned early in the career,

0:27:19.359 --> 0:27:21.399
<v Speaker 1>which may or may not be true, is hey, you

0:27:21.440 --> 0:27:24.399
<v Speaker 1>know managers, when you look at the big institutions, hedge funds,

0:27:24.480 --> 0:27:29.639
<v Speaker 1>mutual funds, endowments, they have their favorite names, and especially

0:27:29.680 --> 0:27:31.440
<v Speaker 1>if it's a fund that has a lot of four

0:27:31.640 --> 0:27:36.719
<v Speaker 1>one K or that sort of inflow, there's only so

0:27:36.720 --> 0:27:39.200
<v Speaker 1>many names they're gonna buy in. As fresh money comes

0:27:39.200 --> 0:27:41.720
<v Speaker 1>in over the transom every week, they put it to

0:27:41.800 --> 0:27:43.840
<v Speaker 1>work in the same names, and that's why you see

0:27:43.880 --> 0:27:48.199
<v Speaker 1>some form of of persistency of price action. Is that

0:27:48.280 --> 0:27:50.760
<v Speaker 1>a fair description of momentum or is that just a

0:27:50.840 --> 0:27:54.000
<v Speaker 1>narrative that I think that that's basically like the fund

0:27:54.080 --> 0:27:57.720
<v Speaker 1>flows arguments. And there's actually a new paper that I

0:27:58.200 --> 0:28:00.840
<v Speaker 1>can't remember. It's some new like germ of finance papers,

0:28:00.880 --> 0:28:04.280
<v Speaker 1>a theory paper this trying to explain the value and

0:28:04.359 --> 0:28:08.639
<v Speaker 1>momentum effect via fun flows. Were like one fund is

0:28:08.680 --> 0:28:11.639
<v Speaker 1>like losing because they own like the you know, the

0:28:11.720 --> 0:28:14.160
<v Speaker 1>value stocks, so they're getting out of there. Then other

0:28:14.240 --> 0:28:16.879
<v Speaker 1>funds they're they're winning, they own the winner stocks, and

0:28:16.880 --> 0:28:19.479
<v Speaker 1>then you know, because they're winning, they get more fun flows,

0:28:19.480 --> 0:28:22.359
<v Speaker 1>and then those keep moving and eventually, like the value

0:28:22.400 --> 0:28:25.600
<v Speaker 1>stocks get too cheap, they may in revert. Momentum stocks

0:28:25.640 --> 0:28:28.399
<v Speaker 1>unless you keep staying in the high momentum eventually crash

0:28:28.440 --> 0:28:31.119
<v Speaker 1>and burn. And there's all these theories about trying to

0:28:31.480 --> 0:28:35.760
<v Speaker 1>explain value momentum, not via behavioral like overreaction to bad

0:28:35.800 --> 0:28:38.400
<v Speaker 1>news unreaction to good news theory, but through like a

0:28:38.440 --> 0:28:41.640
<v Speaker 1>fun flows argument. There could be something to it. I think,

0:28:41.680 --> 0:28:45.000
<v Speaker 1>I think all no one really knows exactly how and

0:28:45.040 --> 0:28:47.840
<v Speaker 1>while this works, but it's all about what is the

0:28:47.880 --> 0:28:51.520
<v Speaker 1>proponance of the evidence kind of tilt you towards because

0:28:51.720 --> 0:28:54.840
<v Speaker 1>God only knows what really explains value, So you really

0:28:54.840 --> 0:28:56.680
<v Speaker 1>don't need to know why it works. You just need

0:28:56.760 --> 0:28:58.840
<v Speaker 1>to know this works. This doesn't stay with what works

0:28:58.840 --> 0:29:01.680
<v Speaker 1>avoid what doesn't to some extent. And you know, as

0:29:01.760 --> 0:29:03.880
<v Speaker 1>this has a great quote about like we all knew

0:29:04.160 --> 0:29:07.000
<v Speaker 1>the world was flat before, or it wasn't flat before

0:29:07.040 --> 0:29:10.600
<v Speaker 1>we could explain exactly, you know, why it was. Some

0:29:10.640 --> 0:29:13.880
<v Speaker 1>of us still held out, Yeah, exactly, and value something.

0:29:13.880 --> 0:29:16.320
<v Speaker 1>I think that's way more understood because it's more intuitive.

0:29:16.680 --> 0:29:20.800
<v Speaker 1>Um by cheap stuff everyone hates, you get kind of distress. Premium,

0:29:20.840 --> 0:29:24.360
<v Speaker 1>you know, careers, premium were momentum. You know this. We

0:29:24.400 --> 0:29:26.720
<v Speaker 1>just wrote a whole book dedicated trying to understand this.

0:29:27.080 --> 0:29:29.840
<v Speaker 1>You know, there seems to be this underaction to the

0:29:29.920 --> 0:29:33.240
<v Speaker 1>good news. But there's another thing when I started reading about,

0:29:33.280 --> 0:29:37.280
<v Speaker 1>like what Soros talks about with with reflexivity, at some level,

0:29:37.480 --> 0:29:42.000
<v Speaker 1>price action itself can actually influence fundamentals. And here would

0:29:42.000 --> 0:29:44.200
<v Speaker 1>be an example. Let's say we're out in the valley,

0:29:44.200 --> 0:29:47.880
<v Speaker 1>like Silicon Valley. We have Google, who's got great price

0:29:47.920 --> 0:29:50.840
<v Speaker 1>action linked in who just dropped the hunter you know

0:29:50.960 --> 0:29:54.200
<v Speaker 1>fifty until recently here, But so what do you think

0:29:54.240 --> 0:29:57.040
<v Speaker 1>when most of your comp and it's all human capital.

0:29:57.080 --> 0:30:03.000
<v Speaker 1>Business is tied to your stock price Linkedins, so their

0:30:03.160 --> 0:30:08.400
<v Speaker 1>price movement momentum fundamentally is changing their fundamentals. And if

0:30:08.640 --> 0:30:12.800
<v Speaker 1>marketplace can't anticipate kind of the second derivative or nonlinear change,

0:30:13.200 --> 0:30:17.200
<v Speaker 1>they'll always kind of underappreciate the benefit of good prices

0:30:17.200 --> 0:30:19.560
<v Speaker 1>because you also get lower cost of capital on the street.

0:30:19.760 --> 0:30:22.560
<v Speaker 1>If I'm a high flying stock, every banker in the

0:30:22.600 --> 0:30:24.360
<v Speaker 1>world is going to help me go sell that over

0:30:24.400 --> 0:30:27.239
<v Speaker 1>priced stock to fund acquisitions and what have you. If

0:30:27.280 --> 0:30:30.040
<v Speaker 1>I'm a total Loserville stock, you know, I gotta pay

0:30:30.080 --> 0:30:32.920
<v Speaker 1>cash like LinkedIn yeah now, and now I gotta like

0:30:32.960 --> 0:30:35.600
<v Speaker 1>pay real market cost of capital. And you're at a

0:30:35.600 --> 0:30:38.640
<v Speaker 1>competitive disadvantage compared to this company that can you know,

0:30:39.040 --> 0:30:43.040
<v Speaker 1>check out overvalued stock to do acquisition until Microsoft comes

0:30:43.040 --> 0:30:45.680
<v Speaker 1>along advise you at a nice fat premium. So there's

0:30:45.840 --> 0:30:49.960
<v Speaker 1>there's momentums complex. You mentioned momentum and you mentioned Cliff Assness.

0:30:50.920 --> 0:30:54.840
<v Speaker 1>Am I correct in saying both you and Cliff had

0:30:54.920 --> 0:31:00.400
<v Speaker 1>Eugene Fama as your thesis h advisors at Chicago? Is

0:31:00.440 --> 0:31:03.680
<v Speaker 1>that right? We have more similar than that, even he

0:31:03.760 --> 0:31:07.640
<v Speaker 1>was also a working undergrad. So unfortunately both of your

0:31:08.000 --> 0:31:12.040
<v Speaker 1>your dissertations were on momentum to the guy who essentially

0:31:12.160 --> 0:31:15.840
<v Speaker 1>invented the efficient market hypothesis. That's right. So so we

0:31:16.040 --> 0:31:19.280
<v Speaker 1>apparently like a lot of pain and english and fighting

0:31:19.360 --> 0:31:22.280
<v Speaker 1>uphill when we probably don't have to. Maybe that's a

0:31:22.320 --> 0:31:26.120
<v Speaker 1>shared characteristics of Cliff and I is what it seems.

0:31:26.680 --> 0:31:28.280
<v Speaker 1>You guys have put out a few e t F

0:31:28.440 --> 0:31:30.440
<v Speaker 1>You've worked and advised on other e t f s.

0:31:30.800 --> 0:31:35.680
<v Speaker 1>How has the exchange traded fund shift changed the game

0:31:35.720 --> 0:31:39.040
<v Speaker 1>in terms of cost and execution? I think it's it's

0:31:39.120 --> 0:31:44.640
<v Speaker 1>revolutionized access to retail I would say more typical investors.

0:31:44.640 --> 0:31:47.440
<v Speaker 1>In the old days, you could always get clean, process

0:31:47.520 --> 0:31:51.440
<v Speaker 1>driven factor exposures as institutional investor, but you never could

0:31:51.440 --> 0:31:54.480
<v Speaker 1>do it as a retail investor with tax efficiency and

0:31:54.560 --> 0:31:57.600
<v Speaker 1>reasonable fees. And now the world is your oyster. You

0:31:57.600 --> 0:32:01.200
<v Speaker 1>can go on your you know, Schwab account by you

0:32:01.240 --> 0:32:04.719
<v Speaker 1>know a really great factor exposure for low costs with

0:32:04.760 --> 0:32:09.600
<v Speaker 1>tax efficiency and full transparency. And I think that's revolutionizing

0:32:09.640 --> 0:32:12.200
<v Speaker 1>the asset manager business as we speak. So, if people

0:32:12.240 --> 0:32:16.040
<v Speaker 1>want to read more about your writings and your research,

0:32:16.040 --> 0:32:18.320
<v Speaker 1>where's the best place for them to find you? Best

0:32:18.320 --> 0:32:21.440
<v Speaker 1>places just go to ALF architect dot com and sign

0:32:21.480 --> 0:32:24.720
<v Speaker 1>up for the blog, and that's that's how we communicate

0:32:24.760 --> 0:32:28.640
<v Speaker 1>to our audience. We have been speaking with Captain Wesley Gray,

0:32:28.760 --> 0:32:33.360
<v Speaker 1>formerly of the U. S. Marine Corps, now with Alpha Architect.

0:32:33.680 --> 0:32:36.360
<v Speaker 1>If you've enjoyed this conversation, be sure and hang out

0:32:36.400 --> 0:32:39.160
<v Speaker 1>for our podcast where we keep the tape rolling and

0:32:39.200 --> 0:32:43.640
<v Speaker 1>continue chatting about all things quantitative. Be sure and follow

0:32:43.720 --> 0:32:47.440
<v Speaker 1>my daily column on Bloomberg dot com or follow me

0:32:47.520 --> 0:32:51.400
<v Speaker 1>on Twitter at rit Halts. I'm Barry rit Halts. You're

0:32:51.480 --> 0:32:59.520
<v Speaker 1>listening to Masters in Business on Bloomberg Radio. Are you

0:32:59.600 --> 0:33:02.640
<v Speaker 1>looking to take your business to the next level? The accounting,

0:33:02.680 --> 0:33:06.120
<v Speaker 1>tax and advisory professionals from Cone Resnick can guide you.

0:33:06.440 --> 0:33:11.200
<v Speaker 1>Cone Resnick delivers industry expertise and forward thinking perspective that

0:33:11.240 --> 0:33:16.280
<v Speaker 1>can help turn business possibilities into business opportunities. Look ahead,

0:33:16.680 --> 0:33:20.800
<v Speaker 1>gain insight, imagine more. Is your business ready to break through?

0:33:21.280 --> 0:33:25.280
<v Speaker 1>Learn more at Cone Resnick dot com Slash Breakthrough, Cone

0:33:25.280 --> 0:33:30.200
<v Speaker 1>Resnick Accounting, Tax Advisory. West, thanks so much for being

0:33:30.240 --> 0:33:33.880
<v Speaker 1>so generous with your time. UM, so there's so much

0:33:33.880 --> 0:33:38.560
<v Speaker 1>stuff to go over. We blew through so many questions. UM,

0:33:38.600 --> 0:33:43.160
<v Speaker 1>but I really enjoy you, know West, I know West

0:33:43.240 --> 0:33:45.960
<v Speaker 1>for a good couple of years. I've followed Alpha Architect

0:33:46.480 --> 0:33:50.760
<v Speaker 1>for a while and everybody in my shop loves reading

0:33:50.840 --> 0:33:55.040
<v Speaker 1>his work. Uh. He is another one of the collection

0:33:55.080 --> 0:33:58.800
<v Speaker 1>of people who are really and I think you made

0:33:58.840 --> 0:34:03.360
<v Speaker 1>this clear during the the radio portion. He is evidence

0:34:03.440 --> 0:34:08.160
<v Speaker 1>based and data driven. So much of of finance is

0:34:08.239 --> 0:34:13.160
<v Speaker 1>filled with myths and heuristics and and shorthand rules of

0:34:13.239 --> 0:34:16.279
<v Speaker 1>thumb that turned out not to be true. Looking at

0:34:16.280 --> 0:34:21.680
<v Speaker 1>the actual data um really makes a really makes a

0:34:21.719 --> 0:34:25.200
<v Speaker 1>big difference. So let's let's go over a few questions

0:34:25.239 --> 0:34:28.840
<v Speaker 1>we we didn't get to, including a quote of yours

0:34:28.840 --> 0:34:31.320
<v Speaker 1>that I that I really like. And I don't remember

0:34:31.320 --> 0:34:36.759
<v Speaker 1>which book this was, but you said sustainable Alpha requires

0:34:36.840 --> 0:34:42.880
<v Speaker 1>sustainable clients. What does that mean? Sure? So I've always

0:34:42.920 --> 0:34:46.320
<v Speaker 1>been puzzled with this question of we find this factor

0:34:46.920 --> 0:34:50.959
<v Speaker 1>it generates the access for terms. Why is this there?

0:34:51.080 --> 0:34:54.400
<v Speaker 1>And why will it continue because you know? Sorry? And

0:34:54.719 --> 0:34:59.360
<v Speaker 1>why why hasn't everybody found this and stayed with it

0:34:59.400 --> 0:35:02.879
<v Speaker 1>if it's generally exactly and you have open secrets called

0:35:02.960 --> 0:35:06.040
<v Speaker 1>value momentum value as the strategy has been around for

0:35:06.080 --> 0:35:09.680
<v Speaker 1>a hundred years. Momentum was talked about like also two

0:35:09.800 --> 0:35:12.400
<v Speaker 1>hundred years ago, so it's not like these are secrets,

0:35:12.480 --> 0:35:15.960
<v Speaker 1>and yet they continue to work. So I needed to

0:35:16.040 --> 0:35:20.200
<v Speaker 1>intellectualize how is this possible? And what I started thinking

0:35:20.200 --> 0:35:23.080
<v Speaker 1>about is is I started thinking about behavioral finance and

0:35:23.360 --> 0:35:26.279
<v Speaker 1>the two real building blocks of it, which are one

0:35:26.520 --> 0:35:32.920
<v Speaker 1>understanding human behavior and to understanding institutional incentives to arbitrage

0:35:33.200 --> 0:35:39.080
<v Speaker 1>bad behavior. So most factors exist typically because there's some

0:35:39.160 --> 0:35:43.160
<v Speaker 1>sort of expectation are on behalf of investors that creates

0:35:43.239 --> 0:35:46.719
<v Speaker 1>a dislocation from fundamental prices, so that that would be

0:35:46.760 --> 0:35:51.040
<v Speaker 1>either the something like that, because you've got to have

0:35:51.440 --> 0:35:55.239
<v Speaker 1>someone can't be a perfectly rational buyer and seller, because

0:35:55.239 --> 0:35:57.920
<v Speaker 1>then prices would never deviate from their fundamental value in

0:35:57.960 --> 0:36:02.240
<v Speaker 1>efficient market, ipocess would hold. But clearly there's overwhelming evidence

0:36:02.280 --> 0:36:06.280
<v Speaker 1>that that happens. But the question is wise does it sustain?

0:36:06.840 --> 0:36:08.440
<v Speaker 1>And so that's where we got to look at the

0:36:08.440 --> 0:36:12.200
<v Speaker 1>incentives of those who manage the capital and for easy

0:36:12.320 --> 0:36:14.680
<v Speaker 1>things that are easy to arbitrage, Like if we see

0:36:14.680 --> 0:36:17.960
<v Speaker 1>a twenty dollar bill on this table, well let's grab it.

0:36:18.239 --> 0:36:20.480
<v Speaker 1>What if we see a twenty dollar bill on the table,

0:36:20.520 --> 0:36:23.799
<v Speaker 1>but there's a grizzly bear over it, Like is that

0:36:24.000 --> 0:36:27.040
<v Speaker 1>rational that a twenty dollar bills there no, but the

0:36:27.120 --> 0:36:29.720
<v Speaker 1>problem is to pick up this twenty it's a grizzly

0:36:29.760 --> 0:36:34.600
<v Speaker 1>bear there. So sometimes it's it's not frictionless to arbitrage prices,

0:36:34.640 --> 0:36:37.840
<v Speaker 1>which is a cordline assumption of the Fisher market, I passes,

0:36:38.239 --> 0:36:42.200
<v Speaker 1>is that competition will always drive prices to fundamental because

0:36:42.200 --> 0:36:46.560
<v Speaker 1>it's assumed it's easy to arbitrage. But that is totally

0:36:46.600 --> 0:36:50.400
<v Speaker 1>not true. And I would say the biggest issue with

0:36:50.640 --> 0:36:54.640
<v Speaker 1>quote unquote arbitrage on things like value or momentum is

0:36:54.760 --> 0:36:58.800
<v Speaker 1>career risk because to do those strategies, they're really long

0:36:59.000 --> 0:37:02.960
<v Speaker 1>duration kind of expected winners, but in the short one

0:37:03.360 --> 0:37:08.080
<v Speaker 1>they can get destroyed relative to standard benchmarks. We were

0:37:08.160 --> 0:37:12.440
<v Speaker 1>discussing the pain trade. The pain trade exactly and pain

0:37:12.520 --> 0:37:17.000
<v Speaker 1>trades ironically are the exact trades you want to own

0:37:17.120 --> 0:37:19.960
<v Speaker 1>if you want to have a sustainable out of sample

0:37:20.440 --> 0:37:23.440
<v Speaker 1>chance at outperformance, because now there's you want to have

0:37:23.480 --> 0:37:26.680
<v Speaker 1>a credible reason why other people on the side of

0:37:26.680 --> 0:37:29.799
<v Speaker 1>this trade or not make a good decision over overreaction,

0:37:29.880 --> 0:37:32.359
<v Speaker 1>bad news, unreaction, good news, or what have you. Then,

0:37:32.400 --> 0:37:34.520
<v Speaker 1>on the other hand, we understand, well, what are the

0:37:34.560 --> 0:37:37.479
<v Speaker 1>other competitive players in the market doing and why aren't

0:37:37.520 --> 0:37:39.520
<v Speaker 1>they already doing this? And it's usually because they like

0:37:39.640 --> 0:37:42.680
<v Speaker 1>their jobs a lot more than they like actually take

0:37:42.760 --> 0:37:47.120
<v Speaker 1>advantage of anomalies. That that's the famous Kings quote. Better

0:37:47.200 --> 0:37:50.879
<v Speaker 1>to fail conventionally than succeed un convention exactly. And there's

0:37:50.960 --> 0:37:53.560
<v Speaker 1>tons of research about this. It all boils down what

0:37:53.600 --> 0:37:56.920
<v Speaker 1>they call the principal agent conflict. There's there's a classic

0:37:56.960 --> 0:38:00.120
<v Speaker 1>theory paper um under Cipher and rob Vision and in

0:38:00.239 --> 0:38:03.200
<v Speaker 1>general Finance ninety seven is called limits of arbitrage, and

0:38:03.239 --> 0:38:06.360
<v Speaker 1>they make this very simple point. We all know what works.

0:38:06.880 --> 0:38:10.040
<v Speaker 1>The problem is in the short run, it may not work,

0:38:10.320 --> 0:38:14.160
<v Speaker 1>especially relative to other stuff. And to the extent that

0:38:14.239 --> 0:38:18.440
<v Speaker 1>I can't credibly convince my investors that I'm not an idiot,

0:38:18.480 --> 0:38:20.960
<v Speaker 1>even though I just lost twenty points to the index

0:38:21.320 --> 0:38:24.000
<v Speaker 1>and they pull my capital, I'm actually not in a

0:38:24.080 --> 0:38:26.480
<v Speaker 1>position to take advantage of this, so I kind of

0:38:26.520 --> 0:38:30.440
<v Speaker 1>hold back. So the only way to really exploit true

0:38:30.719 --> 0:38:34.239
<v Speaker 1>active anomalies is you need to one have a process

0:38:34.360 --> 0:38:37.799
<v Speaker 1>that takes advantage of some bias problem. But then more

0:38:37.840 --> 0:38:41.759
<v Speaker 1>importantly is you need to couple the capital that's there

0:38:41.760 --> 0:38:45.000
<v Speaker 1>to exploit and make sure it has the same duration

0:38:45.160 --> 0:38:48.400
<v Speaker 1>as the anomaly it's trying to exploit, which is long term,

0:38:48.440 --> 0:38:51.040
<v Speaker 1>so long term duration on the capital, long time duration

0:38:51.080 --> 0:38:54.799
<v Speaker 1>on the anomaly, short term human behavior getting in the

0:38:54.800 --> 0:38:58.960
<v Speaker 1>way exactly. And its analogy is like the bank that

0:38:58.960 --> 0:39:02.880
<v Speaker 1>that we discussed earlier, where a bank lands long borrows

0:39:02.920 --> 0:39:06.160
<v Speaker 1>short great most of the time, but sometimes you have

0:39:06.200 --> 0:39:09.120
<v Speaker 1>a run on the bank. Same thing with value strategies,

0:39:09.520 --> 0:39:13.560
<v Speaker 1>long duration opportunity that more often than not gets coupled

0:39:13.560 --> 0:39:17.000
<v Speaker 1>with short duration capital. Sometimes there's a run on the bank.

0:39:17.120 --> 0:39:20.000
<v Speaker 1>And when that run on the bank occurs, the winner

0:39:20.040 --> 0:39:22.600
<v Speaker 1>in that trade ends up being the Warren buffets, the

0:39:22.600 --> 0:39:26.200
<v Speaker 1>guys that just hold onto these things like grim death

0:39:26.719 --> 0:39:29.520
<v Speaker 1>and will not sell. I have a friend who runs

0:39:29.600 --> 0:39:34.480
<v Speaker 1>a value hedge funds, if there's such a thing, and

0:39:34.560 --> 0:39:38.760
<v Speaker 1>he says he'll go through the pain trade for quarters

0:39:38.760 --> 0:39:41.200
<v Speaker 1>and years at a time, and he said he's been

0:39:41.239 --> 0:39:45.080
<v Speaker 1>doing it for forty years. He knows when the portfolio

0:39:45.160 --> 0:39:48.320
<v Speaker 1>is going to start out performing because usually just before

0:39:48.440 --> 0:39:51.640
<v Speaker 1>he starts getting all sorts of inquiries about redemption and

0:39:51.680 --> 0:39:54.800
<v Speaker 1>people have had enough, and it's usually at that moment

0:39:54.840 --> 0:39:58.160
<v Speaker 1>when when the wheel is turning definitely, we we we

0:39:58.320 --> 0:40:03.480
<v Speaker 1>know multiple multibillion dollar hedge for manasures with heavy value

0:40:03.520 --> 0:40:06.560
<v Speaker 1>focus that are literally out of business because of the

0:40:06.600 --> 0:40:09.680
<v Speaker 1>back half of two thousand fifteen because deep value just

0:40:09.920 --> 0:40:15.120
<v Speaker 1>got destroyed and redemptions just overwhelmed their ability to convince

0:40:15.120 --> 0:40:19.160
<v Speaker 1>the capital stage. So so let's talk about career risk,

0:40:19.280 --> 0:40:23.080
<v Speaker 1>and let's talk about running money in real time. You

0:40:23.160 --> 0:40:26.520
<v Speaker 1>run a model, you run multiple models, multiple ETFs, but

0:40:26.640 --> 0:40:30.399
<v Speaker 1>you run a model that essentially is two sleeves. One

0:40:30.520 --> 0:40:34.680
<v Speaker 1>is value and the other is is the momentum side.

0:40:35.320 --> 0:40:39.600
<v Speaker 1>And invariably one of those two sleeves. And by the way,

0:40:39.640 --> 0:40:41.399
<v Speaker 1>I've explained this to people and the like, so wait,

0:40:41.440 --> 0:40:44.480
<v Speaker 1>they first they screened for value and then they screen

0:40:44.560 --> 0:40:48.160
<v Speaker 1>for momentum. No, these are a dual model where there

0:40:48.200 --> 0:40:53.960
<v Speaker 1>is simultaneously offsetting value and momentum. Uh, two different screens

0:40:53.960 --> 0:40:58.759
<v Speaker 1>and two different pools of stocks. But invariably one of

0:40:58.800 --> 0:41:01.719
<v Speaker 1>those sleeves is getting She'll act usually when one is

0:41:01.760 --> 0:41:05.480
<v Speaker 1>doing well, the other is doing poorly. Number one, how

0:41:05.520 --> 0:41:08.680
<v Speaker 1>does that make money over the long haul? And Number two?

0:41:09.400 --> 0:41:12.440
<v Speaker 1>What happens in the real world with all but the

0:41:12.480 --> 0:41:15.680
<v Speaker 1>most savvy institutions or individuals who may have money in

0:41:15.719 --> 0:41:19.640
<v Speaker 1>a portfolio like that. Sure, So so the way um

0:41:19.800 --> 0:41:23.200
<v Speaker 1>that value momentum work in a combination, whereas you mentioned,

0:41:23.239 --> 0:41:27.800
<v Speaker 1>it's not about an integrated package. It's about pure value

0:41:28.040 --> 0:41:32.080
<v Speaker 1>focusing on that religion, and then pure momentum focused on

0:41:32.080 --> 0:41:35.480
<v Speaker 1>that religion, combining the two and they happen to have

0:41:35.640 --> 0:41:39.839
<v Speaker 1>this very great dynamic relationship where they're like Yin and yang.

0:41:39.840 --> 0:41:42.440
<v Speaker 1>When one is blown up, the other one on average

0:41:42.480 --> 0:41:45.560
<v Speaker 1>tends to be working. So you get amazing diversification benefits.

0:41:45.840 --> 0:41:48.520
<v Speaker 1>Whereas if you look at either of those strategies as

0:41:48.520 --> 0:41:51.279
<v Speaker 1>a standalone basis, you know you're gonna want to jump

0:41:51.320 --> 0:41:55.160
<v Speaker 1>off a bridge it's too volatile. But that combination basically

0:41:55.200 --> 0:41:59.040
<v Speaker 1>gives you more survivability. From like a human psychology standpoint,

0:41:59.440 --> 0:42:02.840
<v Speaker 1>pure value, how you im pure momentum combined ran in

0:42:02.880 --> 0:42:06.400
<v Speaker 1>a very active way, can still have opportunities to have

0:42:06.719 --> 0:42:10.919
<v Speaker 1>multi year underperformance, but it's more sustainable than just being

0:42:10.920 --> 0:42:13.719
<v Speaker 1>a pure value person or a pure momentum person where

0:42:14.080 --> 0:42:18.280
<v Speaker 1>you could go for five ten years in theory of underperforming,

0:42:18.400 --> 0:42:21.880
<v Speaker 1>and who can do that? Even I would have problems,

0:42:22.320 --> 0:42:24.880
<v Speaker 1>you know, sticking to the model probably and I'm like

0:42:25.040 --> 0:42:27.560
<v Speaker 1>a cold believer in this stuff. So so what do

0:42:27.600 --> 0:42:29.600
<v Speaker 1>you say to somebody who says, hey, I'm in this

0:42:29.680 --> 0:42:34.239
<v Speaker 1>portfolio for three years. I understand it intellectually, but you're

0:42:34.320 --> 0:42:37.800
<v Speaker 1>under performing the benchmarked by forty basis points for three years.

0:42:38.800 --> 0:42:41.960
<v Speaker 1>How do you communicate, Well, that's part of the model

0:42:42.040 --> 0:42:45.600
<v Speaker 1>that's not unexpected, and soon it will be out performing

0:42:45.760 --> 0:42:48.600
<v Speaker 1>and by a substantial by file undred basis points. How

0:42:48.640 --> 0:42:51.600
<v Speaker 1>do you communicate that? So, the way we communicated is

0:42:51.680 --> 0:42:54.040
<v Speaker 1>this is not for everyone, it's for we have a

0:42:54.160 --> 0:42:57.360
<v Speaker 1>very segmented component of the marketplace where we need to

0:42:57.440 --> 0:43:02.359
<v Speaker 1>identify long duration cap roll that's really sophisticated and has

0:43:02.480 --> 0:43:08.160
<v Speaker 1>minimal agency conflicts where their career doesn't really amiable consultants,

0:43:08.440 --> 0:43:11.680
<v Speaker 1>No consultants, no, it's it literally who wants to take

0:43:11.719 --> 0:43:14.359
<v Speaker 1>care of their money best, the guy who owns their

0:43:14.360 --> 0:43:17.520
<v Speaker 1>own money because they actually have horizon, they don't have careers,

0:43:17.640 --> 0:43:20.879
<v Speaker 1>not gonna fire themselves, and they just want to maximize

0:43:20.880 --> 0:43:24.480
<v Speaker 1>their best chance of long term expected compounding. That is

0:43:24.520 --> 0:43:28.560
<v Speaker 1>the segment that we talked to. That's a really specific,

0:43:28.760 --> 0:43:33.000
<v Speaker 1>very specific niche, and the reason we're so hyper focus

0:43:33.080 --> 0:43:36.400
<v Speaker 1>on that niche is going back to that sustainable, active

0:43:36.400 --> 0:43:39.960
<v Speaker 1>framework where you need a couple long duration arbitrage with

0:43:40.080 --> 0:43:43.239
<v Speaker 1>long duration capital in order for it to be a victory.

0:43:43.760 --> 0:43:47.319
<v Speaker 1>You that's the only way you can believably exploit these

0:43:47.360 --> 0:43:51.640
<v Speaker 1>anomalies is the capital. The source of capital, and the

0:43:51.840 --> 0:43:54.360
<v Speaker 1>education of that capital and its ability to stick to

0:43:54.360 --> 0:43:59.080
<v Speaker 1>the program is more important than the nuance of your model. Yeah, Like,

0:43:59.280 --> 0:44:02.560
<v Speaker 1>we can do a billion perturbations of buy cheap, they're

0:44:02.600 --> 0:44:05.400
<v Speaker 1>all gonna be nine correlated. Do we think ours is

0:44:05.440 --> 0:44:08.600
<v Speaker 1>marginally better than Joe blows down the street. Sure, but

0:44:09.239 --> 0:44:11.000
<v Speaker 1>you know if you stuck a gun to my head

0:44:11.160 --> 0:44:13.400
<v Speaker 1>and said which value molo do you want, I'd be like,

0:44:13.480 --> 0:44:16.080
<v Speaker 1>they're all good. That's not the hard part. The hard

0:44:16.120 --> 0:44:19.239
<v Speaker 1>part is making sure the money that's in it is

0:44:19.520 --> 0:44:23.239
<v Speaker 1>able to actually exploit it the duration of that. Yeah,

0:44:23.440 --> 0:44:25.880
<v Speaker 1>and so we that's why we have this saying, like

0:44:25.960 --> 0:44:29.160
<v Speaker 1>most products on the street, they're they're sold, not bought.

0:44:29.840 --> 0:44:32.520
<v Speaker 1>For our strategies, we say no, no, we have to

0:44:32.560 --> 0:44:36.040
<v Speaker 1>have our products be bought, not sold, because it's more

0:44:36.040 --> 0:44:41.160
<v Speaker 1>important that our clients and investors understand explicitly, maybe even

0:44:41.200 --> 0:44:44.160
<v Speaker 1>more than we even understand it, how and why this works.

0:44:44.480 --> 0:44:47.080
<v Speaker 1>Because it's not it's not about us being smarter than

0:44:47.080 --> 0:44:50.160
<v Speaker 1>the next guy. There's already hundred peach d guys around here.

0:44:50.440 --> 0:44:52.160
<v Speaker 1>They got higher i q s and I could ever

0:44:52.280 --> 0:44:55.520
<v Speaker 1>dream of. That's not our edge, our edges getting the

0:44:55.640 --> 0:45:00.520
<v Speaker 1>capital matched with a reasonable process that's good enough for

0:45:00.560 --> 0:45:05.319
<v Speaker 1>our you know, not brains, that's gonna be. That's the

0:45:05.320 --> 0:45:08.799
<v Speaker 1>buffet trade basically. So let's talk about your dissertation with

0:45:08.840 --> 0:45:12.399
<v Speaker 1>Eugene Fama. We we mentioned that he was your your advisor.

0:45:12.760 --> 0:45:15.600
<v Speaker 1>What's it like pitching momentum to the father of the

0:45:15.600 --> 0:45:19.239
<v Speaker 1>efficient market hypothesis? So Cliff did value and momentum to

0:45:19.360 --> 0:45:24.080
<v Speaker 1>the vastness. I actually pitched him on value exclusive. I

0:45:24.120 --> 0:45:27.000
<v Speaker 1>wasn't going to touch the momentum, pain trade and a

0:45:27.080 --> 0:45:31.560
<v Speaker 1>dissertation because I wasn't that a wild as Cliff was. Um.

0:45:31.600 --> 0:45:33.520
<v Speaker 1>But what I did is, you know, I don't I

0:45:33.560 --> 0:45:37.360
<v Speaker 1>has always been a stock picker. Reading Ben Graham, warm

0:45:37.480 --> 0:45:39.839
<v Speaker 1>off its stuffed, I was blue in the face. I

0:45:39.920 --> 0:45:43.320
<v Speaker 1>believed that that was the way of the world. Um.

0:45:43.360 --> 0:45:45.240
<v Speaker 1>And so obviously, you know, you have the most famous

0:45:45.280 --> 0:45:47.520
<v Speaker 1>guy in the world that says no, that's never gonna work.

0:45:48.120 --> 0:45:50.319
<v Speaker 1>Screw this guy. I'm gonna figure out how to like,

0:45:50.680 --> 0:45:53.040
<v Speaker 1>you know, let's see if we can an outsmart this guy.

0:45:53.080 --> 0:45:55.080
<v Speaker 1>So what I did is, um, I'm sure if we

0:45:55.080 --> 0:45:59.960
<v Speaker 1>were like Joe Greenblatt, a little little book, little yeah,

0:46:00.040 --> 0:46:03.040
<v Speaker 1>great book, great ideas. He has this organization called Value

0:46:03.040 --> 0:46:05.920
<v Speaker 1>Messrs Club UM, which is ah, it's basically like an

0:46:05.920 --> 0:46:08.960
<v Speaker 1>invite only group of all these hedge fund managers and

0:46:09.000 --> 0:46:12.520
<v Speaker 1>really smart kind of fundamental stock pickers UM. And you've

0:46:12.520 --> 0:46:14.279
<v Speaker 1>been doing it since two thousand. I was like, hey,

0:46:14.320 --> 0:46:17.160
<v Speaker 1>this is a really great data source where there's all

0:46:17.160 --> 0:46:20.200
<v Speaker 1>these like full scale stock pitches from the by side.

0:46:20.560 --> 0:46:23.160
<v Speaker 1>Let's look at how it's done over time's let me

0:46:23.200 --> 0:46:27.360
<v Speaker 1>guess they stunt the joint on. Well no, actually interesting enough.

0:46:27.520 --> 0:46:31.839
<v Speaker 1>Well it's kinda but in an indirect way. So when

0:46:31.840 --> 0:46:35.640
<v Speaker 1>you actually look at the performance of as a whole,

0:46:35.800 --> 0:46:38.760
<v Speaker 1>they're actually pretty good. Like these people had real value.

0:46:38.960 --> 0:46:41.480
<v Speaker 1>It's unclear that if you paid in their funds after

0:46:41.560 --> 0:46:46.319
<v Speaker 1>the but there's certainly evidence that these guys have some

0:46:46.440 --> 0:46:49.759
<v Speaker 1>skill and an especially when you get that segmented down

0:46:49.760 --> 0:46:54.640
<v Speaker 1>to like the small value, there's no doubt these this

0:46:54.719 --> 0:46:57.600
<v Speaker 1>group has a ton of skill. There's a shortage of information,

0:46:57.640 --> 0:47:00.319
<v Speaker 1>there's not a lot of coverage, there's more risk's whole bunch.

0:47:00.400 --> 0:47:02.640
<v Speaker 1>When you read there, when you read their thesis, a

0:47:02.680 --> 0:47:05.400
<v Speaker 1>lot of these guys are talking about long duration anomalies

0:47:05.440 --> 0:47:08.000
<v Speaker 1>and like, hey, the cell side is crazy because they're

0:47:08.040 --> 0:47:09.920
<v Speaker 1>trying to beat the So a lot of it made

0:47:09.920 --> 0:47:12.800
<v Speaker 1>intuitive sense, um, and it was all good. I literally

0:47:12.800 --> 0:47:15.680
<v Speaker 1>read every single one of these stock pitches catalog did.

0:47:16.000 --> 0:47:18.120
<v Speaker 1>I had them all database by, Like what did they

0:47:18.200 --> 0:47:20.640
<v Speaker 1>mentioned as to why they liked this idea? Would have

0:47:20.719 --> 0:47:26.319
<v Speaker 1>you one part of it? I had a theory papers well,

0:47:26.640 --> 0:47:30.680
<v Speaker 1>which was beyond this discussion. But um, right, this thing up.

0:47:30.760 --> 0:47:34.160
<v Speaker 1>It actually says that these value investors actually do have skill.

0:47:34.760 --> 0:47:38.000
<v Speaker 1>And you know the fisher marketypothsis. It just it seems

0:47:38.040 --> 0:47:40.400
<v Speaker 1>to be some slack in it, which is fine, um,

0:47:40.480 --> 0:47:42.040
<v Speaker 1>you know. So so I sent it off to him

0:47:42.040 --> 0:47:43.920
<v Speaker 1>and of course, I you know, the first team I

0:47:43.920 --> 0:47:47.800
<v Speaker 1>get is basically no, this is wronging a conclusions false. Um.

0:47:48.000 --> 0:47:50.000
<v Speaker 1>So I'm like, great, it just wastes the year of

0:47:50.000 --> 0:47:52.520
<v Speaker 1>my life and I'm totally scared. But you have to

0:47:52.719 --> 0:47:56.239
<v Speaker 1>you can he I'm told he's pretty open minded, very

0:47:56.239 --> 0:48:00.600
<v Speaker 1>openustness said, listen, I think you're wrong, Prove I'm I'm

0:48:00.600 --> 0:48:04.040
<v Speaker 1>not correct exactly so. And and this is my like,

0:48:04.080 --> 0:48:06.360
<v Speaker 1>oh my god, I'm dead moment. So of course I

0:48:06.480 --> 0:48:08.839
<v Speaker 1>run down. I'm like, you know, and everyone calls him

0:48:08.880 --> 0:48:12.080
<v Speaker 1>prof fam I'm sure like Clifaz's price, I would never

0:48:12.200 --> 0:48:14.840
<v Speaker 1>call him by his first team. Yeah he's so gane.

0:48:14.880 --> 0:48:17.640
<v Speaker 1>Let me tell you why. Yeah, he's just too He's

0:48:17.680 --> 0:48:20.600
<v Speaker 1>too steadily. Like I just feel like, you know, I

0:48:20.600 --> 0:48:22.880
<v Speaker 1>don't want so many people I have a lot of

0:48:23.400 --> 0:48:25.440
<v Speaker 1>I'm not a big E M H guy, although I

0:48:26.040 --> 0:48:30.080
<v Speaker 1>the weak version of it makes sense, but there are

0:48:30.080 --> 0:48:32.399
<v Speaker 1>so many people I have all this respect for who

0:48:32.520 --> 0:48:36.359
<v Speaker 1>just sing say the world about him? Yeah, I mean, yeah,

0:48:36.600 --> 0:48:38.840
<v Speaker 1>a little off track, but as just a human being.

0:48:39.360 --> 0:48:42.600
<v Speaker 1>You know, the guy grinds every day. He's super honest,

0:48:42.640 --> 0:48:46.160
<v Speaker 1>super humble, works his face off, Like I don't care

0:48:46.200 --> 0:48:49.480
<v Speaker 1>if he's bacon donuts. I like this dude. Um. He

0:48:49.640 --> 0:48:52.600
<v Speaker 1>happens to be a Nobel Prize winner and that's awesome,

0:48:53.000 --> 0:48:55.279
<v Speaker 1>but but it's more about a fundamental respect for just

0:48:55.960 --> 0:48:58.799
<v Speaker 1>working his whole process. Yeah, what he's all about, like

0:48:58.960 --> 0:49:01.600
<v Speaker 1>not even death act. He's a financial economists. I just

0:49:01.719 --> 0:49:04.239
<v Speaker 1>like his the way it carries himself. You know. That's

0:49:04.280 --> 0:49:07.520
<v Speaker 1>why I said the exact same thing about Charlie Ellis,

0:49:07.520 --> 0:49:10.279
<v Speaker 1>who was a guest on the show Who and I

0:49:10.360 --> 0:49:12.560
<v Speaker 1>and I after the show, we walked downtown. I spent

0:49:12.640 --> 0:49:15.239
<v Speaker 1>like an extra hours with him, and I came away

0:49:15.280 --> 0:49:17.799
<v Speaker 1>with like, this is the finest human being I've ever

0:49:17.840 --> 0:49:19.919
<v Speaker 1>met in my life. And I'm hearing the same sort

0:49:19.920 --> 0:49:22.399
<v Speaker 1>of thing from the same thing. Just good dude, Like

0:49:22.400 --> 0:49:24.080
<v Speaker 1>like if I was in the Marine Corps and I

0:49:24.120 --> 0:49:28.040
<v Speaker 1>could transplant him fifty years or I want to, like,

0:49:28.120 --> 0:49:30.880
<v Speaker 1>this guy is good to go it regardless of what

0:49:30.920 --> 0:49:33.560
<v Speaker 1>he knows about finance. But so back to that, I

0:49:33.640 --> 0:49:35.759
<v Speaker 1>ran down there and and it was the same thing.

0:49:35.760 --> 0:49:39.800
<v Speaker 1>Like his Cliff said, he's very very open minded empirical evidence,

0:49:39.840 --> 0:49:42.960
<v Speaker 1>scientific focus, like if you got the evidence, you run

0:49:43.000 --> 0:49:45.840
<v Speaker 1>the right robustant tests, like all good. Um, so go

0:49:45.920 --> 0:49:48.160
<v Speaker 1>down there. And you know, in my dissertation in the

0:49:48.320 --> 0:49:51.839
<v Speaker 1>abstract for this particular paper, you know, I made an

0:49:51.880 --> 0:49:55.759
<v Speaker 1>overstated claim. I said value investors beat the market. You know,

0:49:55.880 --> 0:50:00.920
<v Speaker 1>He's like, no, the sample value investors you analyze be

0:50:01.000 --> 0:50:03.279
<v Speaker 1>at the market. And so literally it was like that

0:50:03.400 --> 0:50:06.600
<v Speaker 1>two or three word difference that because semantics matter and

0:50:06.600 --> 0:50:09.200
<v Speaker 1>that kind of stuff, because one is an overstatement and

0:50:09.239 --> 0:50:12.200
<v Speaker 1>the other is within the sub slept set of value managers.

0:50:13.200 --> 0:50:17.040
<v Speaker 1>I analyzed, they clearly have some skill, but you can't

0:50:17.080 --> 0:50:21.239
<v Speaker 1>say that value the market. And I was like, he's

0:50:21.280 --> 0:50:24.720
<v Speaker 1>being very precise, very precise, which was a great lesson.

0:50:25.040 --> 0:50:27.920
<v Speaker 1>And then and to be more precise on that particular thing.

0:50:28.280 --> 0:50:30.719
<v Speaker 1>This is not really in the dissertation because it's this

0:50:30.760 --> 0:50:33.360
<v Speaker 1>is a little bit too practitioner focus, I would say.

0:50:33.360 --> 0:50:35.759
<v Speaker 1>But after the fact we said, wow, this is incredible.

0:50:35.800 --> 0:50:39.040
<v Speaker 1>You have all these people that spend all this time,

0:50:39.560 --> 0:50:43.360
<v Speaker 1>incredible effort in data collection information come up with a

0:50:43.440 --> 0:50:47.399
<v Speaker 1>thesis on the stock pitch. Um, I'm really curious, can

0:50:47.440 --> 0:50:51.600
<v Speaker 1>this be quanted out? Turns out that we looked at

0:50:51.640 --> 0:50:55.040
<v Speaker 1>like that quant value agorithm, which basically is is essentially

0:50:55.440 --> 0:50:58.239
<v Speaker 1>a computer version of what the Value Investors Club guys

0:50:58.280 --> 0:51:03.160
<v Speaker 1>do by cheap high quality firms with a ton of

0:51:03.200 --> 0:51:06.440
<v Speaker 1>analysis on like the quality component, but cheapness is is

0:51:06.480 --> 0:51:10.360
<v Speaker 1>a is a primary. Turns out that the correlation between

0:51:10.400 --> 0:51:15.200
<v Speaker 1>just buying like a superactive cheap high quality basket is

0:51:15.280 --> 0:51:19.560
<v Speaker 1>essentially the same and very very highly correlated with kind

0:51:19.560 --> 0:51:22.800
<v Speaker 1>of what quote unquote the alpha generation is from these

0:51:22.800 --> 0:51:25.440
<v Speaker 1>stock picker people. So you know it's you know, what

0:51:25.600 --> 0:51:28.319
<v Speaker 1>is alpha? What is beta? Who knows? Um? You know,

0:51:28.760 --> 0:51:31.160
<v Speaker 1>alpha is just intercept on a regression where if you

0:51:31.160 --> 0:51:33.720
<v Speaker 1>put enough factors in there, obviously alpha is always zero,

0:51:34.080 --> 0:51:37.120
<v Speaker 1>but to some extent of you know, super concentrated. Wait

0:51:37.120 --> 0:51:39.759
<v Speaker 1>when you say, obviously alpha is always zero, but is

0:51:39.800 --> 0:51:42.640
<v Speaker 1>it always zero? It is if you keep adding factors

0:51:42.680 --> 0:51:46.600
<v Speaker 1>that explain the variants. Because because alpha, so you risk adjusted.

0:51:46.840 --> 0:51:49.640
<v Speaker 1>You once you once you go through all those different dimensions,

0:51:50.480 --> 0:51:54.680
<v Speaker 1>since we're talking about Chicago, eventually you can rationalize where

0:51:54.719 --> 0:51:58.520
<v Speaker 1>all that alpha comes and eventually alpha becomes beta. Yeah, exactly,

0:51:58.520 --> 0:52:01.880
<v Speaker 1>because all it is Alpha is literally just when you

0:52:01.920 --> 0:52:05.760
<v Speaker 1>calculate this stuff formally, beta is the coefficient on the factor.

0:52:05.840 --> 0:52:08.200
<v Speaker 1>Alpha is just kind of the average intercept, the kind

0:52:08.200 --> 0:52:11.319
<v Speaker 1>of the extra you get that's unexplained for. So the

0:52:11.360 --> 0:52:15.240
<v Speaker 1>deviation that you're looking for, why it occurs? Yeah, after

0:52:15.360 --> 0:52:18.120
<v Speaker 1>controlling for all these other quote unquote risk factors. But

0:52:18.360 --> 0:52:21.399
<v Speaker 1>let's take momentum for example. Okay, let's say we think

0:52:21.480 --> 0:52:25.560
<v Speaker 1>momentum is alpha. If you run momentum and you control

0:52:25.680 --> 0:52:29.360
<v Speaker 1>for market size, value, blah blah blah, you're gonna have

0:52:29.440 --> 0:52:31.800
<v Speaker 1>a huge alpha. So what do you do to control

0:52:31.840 --> 0:52:34.719
<v Speaker 1>for the alpha momentum? Throw a momentum factor on there. Now,

0:52:34.760 --> 0:52:37.359
<v Speaker 1>what happens the momentum strategy they have no alpha. So

0:52:37.760 --> 0:52:40.520
<v Speaker 1>now is that because they don't work and they're not

0:52:40.640 --> 0:52:42.880
<v Speaker 1>miss price or is that just because you controlled for

0:52:42.960 --> 0:52:46.800
<v Speaker 1>the momentum factor to say that momentum doesn't work anymore. Well, no,

0:52:46.960 --> 0:52:50.360
<v Speaker 1>momentum still works and it's been embraced in the factor.

0:52:50.760 --> 0:52:53.640
<v Speaker 1>But that doesn't necessarily mean that that factor is a

0:52:53.680 --> 0:52:57.920
<v Speaker 1>true risk factor. What if the returns associated with it

0:52:58.000 --> 0:53:02.120
<v Speaker 1>are associated with miss pricing problem, not like fundamental risks,

0:53:02.200 --> 0:53:05.480
<v Speaker 1>like it co varies with your future consumption or whatever

0:53:06.000 --> 0:53:09.680
<v Speaker 1>you know, fancy you know macro or model that some

0:53:09.719 --> 0:53:11.960
<v Speaker 1>economists is coming up with. And so I think the

0:53:12.040 --> 0:53:15.400
<v Speaker 1>problem with that the idea of alpha's and beta's is

0:53:15.440 --> 0:53:20.000
<v Speaker 1>alpha is an intuitive concept, is excess return controlling for

0:53:20.080 --> 0:53:24.160
<v Speaker 1>a bunch of risks. But the mechanical construct, it's a

0:53:24.200 --> 0:53:28.080
<v Speaker 1>statistical item and it can be totally manipulated. Where obviously

0:53:28.120 --> 0:53:30.680
<v Speaker 1>all alpha can become beta because you just put the

0:53:30.719 --> 0:53:33.640
<v Speaker 1>alpha generator on the beta side and you can go

0:53:33.719 --> 0:53:36.200
<v Speaker 1>buy it. But just because it can be beta, that

0:53:36.239 --> 0:53:38.479
<v Speaker 1>doesn't mean it's not alpha doesn't mean it's not real

0:53:38.760 --> 0:53:40.920
<v Speaker 1>or at least for that subset, And it doesn't mean

0:53:40.920 --> 0:53:43.680
<v Speaker 1>it's It's not easy to explain, right, because momentum is

0:53:43.680 --> 0:53:46.800
<v Speaker 1>a great example. Momentum is underperformed as a long short

0:53:46.840 --> 0:53:50.040
<v Speaker 1>factor for arguably five to ten years. Everyone's like, oh,

0:53:50.080 --> 0:53:53.680
<v Speaker 1>it's dead. Yeah. One of my old bosses, Chris Gates,

0:53:53.680 --> 0:53:56.640
<v Speaker 1>he wrote the paper like the long World's longest back tests.

0:53:56.920 --> 0:54:00.360
<v Speaker 1>They get data back and he actually expecially says in

0:54:00.400 --> 0:54:04.880
<v Speaker 1>the abstract momentum factor has underperformed for tenure cycles like

0:54:05.040 --> 0:54:09.279
<v Speaker 1>seven times. So this is this underperformance recently a momentum Yeah,

0:54:09.320 --> 0:54:12.759
<v Speaker 1>it's not all that operational, it's just so so one

0:54:12.800 --> 0:54:15.200
<v Speaker 1>of the one of the things you mentioned before about

0:54:15.680 --> 0:54:18.400
<v Speaker 1>the two two issues you look at, which is the

0:54:18.440 --> 0:54:23.840
<v Speaker 1>behavioral side and and the principal agent side. So I

0:54:23.880 --> 0:54:27.839
<v Speaker 1>would imagine someone like you looks at the FED with

0:54:27.960 --> 0:54:30.439
<v Speaker 1>Quie and up and all that stuff and says, yeah,

0:54:30.440 --> 0:54:33.560
<v Speaker 1>we don't care about that. It's not. What matters is

0:54:33.560 --> 0:54:38.640
<v Speaker 1>is the behavioral and the agency issue, not all these externalities.

0:54:39.120 --> 0:54:42.880
<v Speaker 1>It's all about what is the signal? What is the noise?

0:54:43.880 --> 0:54:47.520
<v Speaker 1>The signal is the huge It just driven from the

0:54:47.600 --> 0:54:50.680
<v Speaker 1>humans evolved in the game and the dynamics and the

0:54:50.760 --> 0:54:52.640
<v Speaker 1>rules of the game they play and how that shapes

0:54:52.680 --> 0:54:56.319
<v Speaker 1>their own synips. That doesn't change no matter what. I

0:54:56.360 --> 0:54:59.680
<v Speaker 1>don't care about g DP what the FED says, because

0:54:59.680 --> 0:55:03.040
<v Speaker 1>it's relevant. Human behavior stay indo chain, stay in the

0:55:03.080 --> 0:55:06.239
<v Speaker 1>same in human incentives are stay in the same in

0:55:06.280 --> 0:55:09.640
<v Speaker 1>the institutional construct that we currently live in, which is

0:55:10.120 --> 0:55:13.920
<v Speaker 1>primarily driven by a lot of delegated asset management. That's

0:55:13.920 --> 0:55:16.919
<v Speaker 1>funny because as we're as we're recording this, the FET

0:55:17.040 --> 0:55:20.200
<v Speaker 1>is meeting and uh literally the news is coming out

0:55:20.280 --> 0:55:22.279
<v Speaker 1>the second and we won't even talk about it because

0:55:22.320 --> 0:55:26.320
<v Speaker 1>it's meaningless. Instead, let's in the last ten or fifteen

0:55:26.360 --> 0:55:29.279
<v Speaker 1>minutes I have you, let's get to some of my

0:55:29.440 --> 0:55:35.120
<v Speaker 1>favorite questions. Um, well, you mentioned Cliff ass Nests. Who

0:55:35.160 --> 0:55:38.879
<v Speaker 1>else were other quants that you you admired or who

0:55:38.880 --> 0:55:41.960
<v Speaker 1>were mentors of yours? Tell tell us the people who

0:55:42.040 --> 0:55:45.439
<v Speaker 1>who influenced your approach to invest in Sure, I'd say

0:55:45.520 --> 0:55:48.440
<v Speaker 1>the danser directly like the quants that I admire. Obviously,

0:55:48.640 --> 0:55:51.120
<v Speaker 1>Cliff as nous I like a lot. He does value momentum.

0:55:51.520 --> 0:55:54.839
<v Speaker 1>HRS a great firm. Uh, you know, booth at Ata

0:55:55.000 --> 0:55:58.360
<v Speaker 1>is great. They figured out how to capture small value premium.

0:55:58.640 --> 0:56:01.839
<v Speaker 1>And I think probably the most underrespected or under appreciated

0:56:01.920 --> 0:56:06.120
<v Speaker 1>quant is Jack Bogel at Vanguard because indexing is a

0:56:06.120 --> 0:56:10.359
<v Speaker 1>form of systematic quant investing. It's just your your systematically

0:56:10.480 --> 0:56:15.200
<v Speaker 1>buying these market capuited passive indices. And for all intents

0:56:15.239 --> 0:56:19.200
<v Speaker 1>and purposes, he is a quantitative, systematic investor, and clearly

0:56:19.280 --> 0:56:22.560
<v Speaker 1>that's in a world of good for society. And his

0:56:22.680 --> 0:56:25.920
<v Speaker 1>alpha is we recognize that the cost structure is the

0:56:25.960 --> 0:56:29.280
<v Speaker 1>most important element investing, and if we could do everything

0:56:29.280 --> 0:56:32.839
<v Speaker 1>we can to reduce the cost factor, that's gonna our

0:56:32.960 --> 0:56:36.160
<v Speaker 1>beta is everybody else's is actually a form of alpha

0:56:36.560 --> 0:56:39.880
<v Speaker 1>if only you've given enough time. Yeah, costs and taxes,

0:56:40.800 --> 0:56:43.719
<v Speaker 1>or if you can minimize those somehow, that that is

0:56:44.200 --> 0:56:47.680
<v Speaker 1>always the answer now and that even they talk about

0:56:47.719 --> 0:56:51.279
<v Speaker 1>like active active is only bad to the extent that

0:56:51.400 --> 0:56:54.600
<v Speaker 1>it's the cost of achieving it. The net benefit is

0:56:54.600 --> 0:56:56.920
<v Speaker 1>not positive, it's negative because it goes in taxes and

0:56:56.960 --> 0:57:01.120
<v Speaker 1>fees to some idiot people. People are surprised when I said,

0:57:01.160 --> 0:57:04.280
<v Speaker 1>you know, Vanguard has a trillion dollars in active funds

0:57:04.280 --> 0:57:07.200
<v Speaker 1>that like really has anybody written a paper or or

0:57:07.320 --> 0:57:09.480
<v Speaker 1>or a column, and I may have to if nobody

0:57:09.520 --> 0:57:13.839
<v Speaker 1>has Jack Bogel the quant. I don't know if anyone has.

0:57:13.920 --> 0:57:16.640
<v Speaker 1>But so now now you've forced me to do this,

0:57:16.720 --> 0:57:18.640
<v Speaker 1>that's what's gonna happen. I think he might be the

0:57:18.680 --> 0:57:22.160
<v Speaker 1>world's greatest quant, just that no one really appreciate it.

0:57:22.400 --> 0:57:24.680
<v Speaker 1>I'm gonna have to quote you in this and you've

0:57:24.760 --> 0:57:27.040
<v Speaker 1>just given me an idea. Now I have to get

0:57:27.080 --> 0:57:30.959
<v Speaker 1>this out before the podcast goes up, so uh, it'll

0:57:31.000 --> 0:57:34.960
<v Speaker 1>it'll be pretty interesting. So you've mentioned Buffett, You've mentioned Graham.

0:57:35.040 --> 0:57:41.480
<v Speaker 1>What other investors have influenced your approach? I would say, um,

0:57:41.520 --> 0:57:45.280
<v Speaker 1>not much beyond that, Like Graham taught me about, you know,

0:57:45.320 --> 0:57:50.520
<v Speaker 1>thinking about businesses or stocks is businesses. Buffett actually didn't

0:57:50.560 --> 0:57:52.640
<v Speaker 1>add any thing onto that. But I just like his

0:57:52.800 --> 0:57:56.080
<v Speaker 1>like transparent approach and the whole idea that integrity is

0:57:56.120 --> 0:57:58.240
<v Speaker 1>everything and in the end that's what you live and

0:57:58.320 --> 0:58:00.520
<v Speaker 1>die by. And he has that old what were you know?

0:58:00.720 --> 0:58:03.680
<v Speaker 1>You know, integrity spends a lifetime to build, five minutes

0:58:03.680 --> 0:58:06.320
<v Speaker 1>to destroy, which it has nothing to do with investing,

0:58:06.600 --> 0:58:08.680
<v Speaker 1>but it has everything to do with investing. Well, it

0:58:08.720 --> 0:58:12.240
<v Speaker 1>has everything to do with working in the investment field exact.

0:58:12.280 --> 0:58:16.080
<v Speaker 1>It's always you know, my my favorite line is no

0:58:16.160 --> 0:58:18.840
<v Speaker 1>one has a patience to get rich slowly, and the

0:58:18.880 --> 0:58:22.240
<v Speaker 1>people who are in a hurry invariably run into trouble.

0:58:22.320 --> 0:58:25.200
<v Speaker 1>You got it. It's amazing. Let's talk about books you

0:58:25.200 --> 0:58:28.080
<v Speaker 1>mentioned one or two earlier. What are some of your

0:58:28.520 --> 0:58:32.600
<v Speaker 1>and fiction, nonfiction, investing, whatever, what What are some of

0:58:32.640 --> 0:58:36.680
<v Speaker 1>your favorite books? Yeah, so, unfortunately I'm not a one

0:58:36.720 --> 0:58:39.760
<v Speaker 1>of my weaknesses is I'm very pragmatic and I just

0:58:39.880 --> 0:58:43.120
<v Speaker 1>read stuff that helps me get better. So you're reading

0:58:43.120 --> 0:58:45.320
<v Speaker 1>more academic papers, Yeah, I read. I read a lot

0:58:45.360 --> 0:58:48.000
<v Speaker 1>of journals, four books. Some of the things that heavily

0:58:48.040 --> 0:58:50.880
<v Speaker 1>influenced the way I've thought about things, and I know

0:58:51.000 --> 0:58:53.360
<v Speaker 1>you know it very well, like Dan Kahneman's book The

0:58:53.760 --> 0:58:57.800
<v Speaker 1>Fastest Epic. Another one is, you know Taylor sustained that

0:58:57.880 --> 0:59:00.960
<v Speaker 1>Nudge book. The whole idea of like liberty Ryan paternalism,

0:59:01.080 --> 0:59:03.000
<v Speaker 1>I thought made a ton of sense because I used

0:59:03.000 --> 0:59:05.360
<v Speaker 1>to be a libertarian. I was like, wait a secondaris

0:59:05.440 --> 0:59:08.280
<v Speaker 1>humans involved and they make bad decisions. You have to

0:59:08.320 --> 0:59:12.560
<v Speaker 1>have some bumpers up otherwise that someone just someone just

0:59:12.720 --> 0:59:17.840
<v Speaker 1>ran maybe with Samantha b at the Libertarian convention, and

0:59:17.960 --> 0:59:21.240
<v Speaker 1>one of the guys got booed for saying, I believe

0:59:21.280 --> 0:59:25.560
<v Speaker 1>that we should have um people, the states should mandate

0:59:26.120 --> 0:59:28.360
<v Speaker 1>tests for driving. We don't just give anyone a car.

0:59:28.680 --> 0:59:31.480
<v Speaker 1>And they were booed by the Libertarians, and it's like, oh,

0:59:31.520 --> 0:59:34.000
<v Speaker 1>so you guys don't understand humans at all. Yeah, yeah,

0:59:34.200 --> 0:59:37.000
<v Speaker 1>and that's my big I mean, I'm a I'm gonna

0:59:37.000 --> 0:59:40.280
<v Speaker 1>be a Gary Johnson voter. He was the one who

0:59:40.360 --> 0:59:42.640
<v Speaker 1>was booed when he said, yes, you should. He's a

0:59:42.680 --> 0:59:47.000
<v Speaker 1>pragmatic hematic libertarian. That's a subset of the part. And

0:59:47.200 --> 0:59:50.200
<v Speaker 1>guess what, none of these political folks appealed to the

0:59:50.240 --> 0:59:54.680
<v Speaker 1>pragmatic part. You always get extremes because that's what sells well.

0:59:55.000 --> 0:59:58.439
<v Speaker 1>Was but yeah, give me one more book, the other one,

0:59:58.760 --> 1:00:02.000
<v Speaker 1>a whole bunch of them. Chardini's books on like the

1:00:02.040 --> 1:00:06.320
<v Speaker 1>science of persuadion, influence, influence, fifty scientific ways to say yes,

1:00:06.440 --> 1:00:09.240
<v Speaker 1>like after re and that guy's stuff. It just made

1:00:09.240 --> 1:00:13.640
<v Speaker 1>me rethink the whole world of of like human thinking

1:00:13.680 --> 1:00:18.040
<v Speaker 1>and decision making from the perspective of like a marketing person,

1:00:18.200 --> 1:00:21.720
<v Speaker 1>and how you get influence and bombarded every day in

1:00:21.800 --> 1:00:24.680
<v Speaker 1>subconscious ways to do things you may or may not

1:00:24.800 --> 1:00:26.960
<v Speaker 1>want to do. But it's very important, I think, to

1:00:27.000 --> 1:00:30.760
<v Speaker 1>be aware of this influenced tactics out there, so one

1:00:30.800 --> 1:00:33.160
<v Speaker 1>you can defend against it, and then too, you can

1:00:33.240 --> 1:00:35.600
<v Speaker 1>use it to your advantage, you know, in a sensible,

1:00:35.640 --> 1:00:40.000
<v Speaker 1>you know, high integrity way. I'm gonna out myself embarrassingly.

1:00:40.360 --> 1:00:42.280
<v Speaker 1>I've had that book on my bookshelf for years. I

1:00:42.320 --> 1:00:46.800
<v Speaker 1>still haven't read it. Unlivable. You're not the first want

1:00:46.840 --> 1:00:48.520
<v Speaker 1>to say that. All right, we're down to our last

1:00:48.600 --> 1:00:53.479
<v Speaker 1>few favorite questions. So if somebody, if a millennial's coming

1:00:53.480 --> 1:00:56.960
<v Speaker 1>to you and says, I'm beginning my career in finance,

1:00:57.480 --> 1:01:00.320
<v Speaker 1>what sort of uh, what sort of advice would you

1:01:00.320 --> 1:01:04.400
<v Speaker 1>give them? So back to our discussion about manual labor,

1:01:04.880 --> 1:01:09.280
<v Speaker 1>I would say, first, get mentally tough. So do sports.

1:01:09.440 --> 1:01:13.240
<v Speaker 1>Do things that are painful that allow you to be tough.

1:01:13.640 --> 1:01:17.120
<v Speaker 1>Adapt because we're in the world where it's gonna change,

1:01:17.120 --> 1:01:19.560
<v Speaker 1>it's gonna be tough, it's gonna be adapting, and you're

1:01:19.600 --> 1:01:22.840
<v Speaker 1>competing not with Americans, you're competing with the globe now.

1:01:23.120 --> 1:01:24.800
<v Speaker 1>So you know, we have a lot of you know,

1:01:24.840 --> 1:01:28.880
<v Speaker 1>my old students are Chinese guys, and these guys grind,

1:01:29.320 --> 1:01:33.920
<v Speaker 1>they work harder, faster, stronger, and that's who you're competing

1:01:33.960 --> 1:01:38.080
<v Speaker 1>with out there. So unless you're you gotta rate rise occasion.

1:01:38.400 --> 1:01:40.560
<v Speaker 1>I hear, I hear a lot of marine corps. Yeah,

1:01:40.600 --> 1:01:43.440
<v Speaker 1>so I would say, just get mentally tough, don't It

1:01:43.480 --> 1:01:45.920
<v Speaker 1>doesn't even matter what you learn. Get mentally tough and

1:01:45.960 --> 1:01:48.040
<v Speaker 1>know how to adapt and overcome. And then the other

1:01:48.120 --> 1:01:50.760
<v Speaker 1>thing I said here I just write down my notes

1:01:50.920 --> 1:01:53.480
<v Speaker 1>is you know, I become a either a robot salesman

1:01:53.840 --> 1:01:56.760
<v Speaker 1>or a robot manufacturer because I feel like in the

1:01:56.880 --> 1:02:00.360
<v Speaker 1>very near future robots are taken over and so you

1:02:00.440 --> 1:02:02.600
<v Speaker 1>might as well adapt and train to the future and

1:02:02.640 --> 1:02:05.680
<v Speaker 1>not you know, be a basket weaver guy anymore because

1:02:05.680 --> 1:02:09.080
<v Speaker 1>it's not gonna pay um. And our final question, what

1:02:09.280 --> 1:02:12.320
<v Speaker 1>is it that you know about investing today that you

1:02:12.400 --> 1:02:16.360
<v Speaker 1>wish you knew fifteen years ago? Well, I wrote down

1:02:16.480 --> 1:02:19.440
<v Speaker 1>the Big Three, which have been uh, you know, endowed

1:02:19.520 --> 1:02:21.480
<v Speaker 1>upon me by a lot of our investors who are

1:02:21.520 --> 1:02:24.320
<v Speaker 1>all insanely rich. And I'm like, wow, that's pretty cool.

1:02:24.320 --> 1:02:25.960
<v Speaker 1>How how do you guys do that? And there's literally

1:02:26.040 --> 1:02:28.760
<v Speaker 1>three themes that come out of every single one of

1:02:28.800 --> 1:02:33.320
<v Speaker 1>these stories. Minimize tax burdens, defer to for to for

1:02:34.080 --> 1:02:38.400
<v Speaker 1>have horizon, and live below your means. So always be humble,

1:02:38.960 --> 1:02:41.760
<v Speaker 1>you know, never rise to the level of what you

1:02:41.760 --> 1:02:45.120
<v Speaker 1>can afford. Just you know, live within your means and

1:02:45.200 --> 1:02:48.160
<v Speaker 1>enjoy your life with what you got. Um and and

1:02:48.240 --> 1:02:50.280
<v Speaker 1>those are the three things and you'll be all right.

1:02:50.520 --> 1:02:53.840
<v Speaker 1>West Gray, thank you so much for for doing this this.

1:02:53.840 --> 1:02:57.600
<v Speaker 1>This has just been absolutely fascinating. We have been speaking

1:02:57.880 --> 1:03:01.160
<v Speaker 1>with Captain Wesley Gray, formally of the U. S. Marine

1:03:01.160 --> 1:03:06.120
<v Speaker 1>Corps now with Alpha Architect. I would be remiss if

1:03:06.120 --> 1:03:09.880
<v Speaker 1>I did not think our producer Charlie Vhmer, my booker

1:03:10.600 --> 1:03:14.280
<v Speaker 1>Taylor Riggs, and Mike bat Nick, my head of research,

1:03:14.320 --> 1:03:18.760
<v Speaker 1>our recording engineer Jennie. If you have enjoyed this conversation,

1:03:18.800 --> 1:03:20.560
<v Speaker 1>be sure and look up an Inch or Down an

1:03:20.600 --> 1:03:23.560
<v Speaker 1>Inch on Apple iTunes and you will see any of

1:03:23.600 --> 1:03:28.200
<v Speaker 1>the nineties six other such podcasts that we've had. Uh,

1:03:28.440 --> 1:03:31.680
<v Speaker 1>be sure and check out the list of upcoming guests,

1:03:31.800 --> 1:03:36.760
<v Speaker 1>which is really quite astonishing. I'm Barry rit Halts. You're

1:03:36.800 --> 1:03:45.920
<v Speaker 1>listening to Masters in Business on Bloomberg Radio look Ahead

1:03:46.280 --> 1:03:50.000
<v Speaker 1>Imagine more gain insight for your industry with forward thinking

1:03:50.000 --> 1:03:53.960
<v Speaker 1>advice from the professionals at Cone Resnick. Is your business

1:03:53.960 --> 1:03:57.160
<v Speaker 1>ready to break through? Find out more at Cone Resnick

1:03:57.240 --> 1:03:59.040
<v Speaker 1>dot com Slash Breakthrough