WEBVTT - Innovator’s Ashenden on Risk-Managed Exposure

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<v Speaker 1>Welcome to Inside Active, a podcast about active managers that

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<v Speaker 1>goes beyond sound bites and headlines and looks deeper into

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<v Speaker 1>their processes, challenges, and philosophies and security selection. I'm David Cohne,

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<v Speaker 1>I lead mutual fund and active Research at Bloomberg Intelligence.

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<v Speaker 1>Today my co host is James Seyffert, ETF, analyst at

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<v Speaker 1>Bloomberg Intelligence. James, thank you for joining me today.

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<v Speaker 2>Yeah, happy to be back, David, thank you for having me.

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<v Speaker 1>So, James, we've talked about Buffer ETFs in the past,

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<v Speaker 1>but how are they doing in terms of flows this year?

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<v Speaker 2>Yeah?

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<v Speaker 3>So, I mean I think of Buffer's ETFs in this

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<v Speaker 3>like broader category of like these you know a lot

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<v Speaker 3>of derivative based products that are either like seeking some

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<v Speaker 3>sort of income or some sort of protection or some

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<v Speaker 3>sort of accelerated ye. But within Buffer specifically, that's probably

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<v Speaker 3>the most successful within that deridit of landscape. And I

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<v Speaker 3>think they've taken in a little over ten billion this year.

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<v Speaker 3>I mean, if you look at the category, I mean,

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<v Speaker 3>it didn't exist a few years ago and now we're

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<v Speaker 3>looking I consider it like a fifty billion dollar category

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<v Speaker 3>for buffers overall. So no matter how you slice it

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<v Speaker 3>like this has been a smashing success and honestly like

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<v Speaker 3>this is something that our team has been looking at

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<v Speaker 3>and covering for a long time now. But yeah, this

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<v Speaker 3>this is finding its home in the ETF industry and

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<v Speaker 3>it's doing really well.

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<v Speaker 1>Nice well. I think it'd be a great time to

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<v Speaker 1>bring on our guests. We'd like to welcome Burke Ashington

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<v Speaker 1>to the podcast. Burke is director of Capital Markets at

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<v Speaker 1>Innovator ETFs. Burke, thanks for joining us today.

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<v Speaker 4>Great to be here, guys, James David, it's pleasure.

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<v Speaker 1>So Burt, can you tell us a little bit about

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<v Speaker 1>your career and how you got started in the ETF industry.

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<v Speaker 4>Yeah, happy to I've known James and the ETF team

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<v Speaker 4>at Bloomberg for a few years here. Before my tenure

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<v Speaker 4>at Innovator, started on a trade desk, so it was

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<v Speaker 4>CASEG Holdings. It then became Virtuo Financial, an ETF market

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<v Speaker 4>making firm, so cut my teeth on the trading desk.

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<v Speaker 4>I love that fast paced environment, competitive atmosphere. And you know,

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<v Speaker 4>Virtuo Financial specializes in ETF trading, so our desk did

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<v Speaker 4>a lot of arbitrage ETF trading, ETF block trading, so

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<v Speaker 4>more of a technical start, I would say, on the

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<v Speaker 4>ETF side, and it kind of gave me a background

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<v Speaker 4>grounded in ETF pricing, how the ETFs are structured, but

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<v Speaker 4>also got a little bit of a glimpse into how

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<v Speaker 4>to launch an ETF because you're the l m M

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<v Speaker 4>or lead market maker and typically provided c capital for

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<v Speaker 4>a lot of ETFs that were brought to market. So

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<v Speaker 4>after Virtuo Financial, I kind of went over to the

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<v Speaker 4>dark side, as we like to say, the ETF issuer side,

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<v Speaker 4>and went to Direction ETFs and that's where I got

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<v Speaker 4>my first taste of derivatives within the ETF rapper. Direction

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<v Speaker 4>specializes in the leveraged and inverse funds, a really interesting firm.

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<v Speaker 4>I'm on the forefront of innovation there, but focus more

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<v Speaker 4>on the tactical trading crowd. But you know, I saw

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<v Speaker 4>there kind of the writing on the wall that derivatives

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<v Speaker 4>in the ETF rapper were still in the early stages.

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<v Speaker 4>You could use them to leverage returns accelerate your upside,

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<v Speaker 4>but you could also use them to insert protection in

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<v Speaker 4>the ETF rapper. So you know, from there I got

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<v Speaker 4>put in touch with more of a startup ETF firm

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<v Speaker 4>innovator Capital Management was the name. They were based in Wheaton, Illinois.

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<v Speaker 4>I was looking for an earlier stage ETF firm and

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<v Speaker 4>got put in touch with them and ended up being

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<v Speaker 4>sort of the first product hire undergrad Day are now

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<v Speaker 4>CIO and we can talk more about Innovator in a second.

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<v Speaker 4>But we're doing some pretty disruptive stuff over here.

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<v Speaker 1>Great. Well, actually, let's you know, as you talked, you

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<v Speaker 1>mentioned Innovator. What's the innovator story?

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<v Speaker 4>Yeah, Innovator has a really interesting story. You know, Bruce

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<v Speaker 4>Bond and John Southard are found So Bruce Bond and

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<v Speaker 4>John Southard, we're the original founders of Power Shares ETF

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<v Speaker 4>ETF's trail breke blazers in the ETF market. They really

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<v Speaker 4>pioneered the segments like smart, Beta, the matic, even household

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<v Speaker 4>names like the cues, so they were first to market

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<v Speaker 4>with a lot of those names. They sold that business

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<v Speaker 4>to Investo around two thousand and six and they retired.

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<v Speaker 4>They went into retirement pseudo retirements, and one of them

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<v Speaker 4>was pitched a structured note in retirements, and that's where

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<v Speaker 4>the story gets really interesting. The light bulb sort of

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<v Speaker 4>went off and they said, you know what, there may

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<v Speaker 4>be a better way to package this risk managed exposure

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<v Speaker 4>that we see in structured notes ryla's annuities, that type

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<v Speaker 4>of risk managed exposure that's typically only existed facing a

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<v Speaker 4>single counterparty like a bank or an insurance company. How

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<v Speaker 4>can we deliver that kind of exposure in the ETF wrapper?

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<v Speaker 4>And we know you know, you guys know this better

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<v Speaker 4>than anyone. The ETF rapper delivers liquidity, tax efficiency, transparency,

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<v Speaker 4>lower costs. So really Innovator's mission is to disrupt the

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<v Speaker 4>structured product annuity hedge fund industries by trying to provide

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<v Speaker 4>superior outcomes in the ETF rapper for those reasons that

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<v Speaker 4>we mentioned before. So our entire business is built around

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<v Speaker 4>delivering risk managed payoffs in a very easy to digest, inexpensive,

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<v Speaker 4>transparent rapper.

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<v Speaker 3>I want to add real quick something that brick kind

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<v Speaker 3>of glossed over there. We in Illinois as like a

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<v Speaker 3>small Midwest town, and it's probably got on a per

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<v Speaker 3>capita basis the most amount of dollars in the asset

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<v Speaker 3>management industry of any place in the world. It's an

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<v Speaker 3>ETF capital. I mean, like, as you mentioned, power Shares

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<v Speaker 3>are now owned by Invesco, is based there first trust

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<v Speaker 3>based there. Innovator now twenty plus billion dollar firm based there.

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<v Speaker 3>Amplify ETFs, which also bought another ETF firm, is based there.

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<v Speaker 3>So there's a lot of people from coming out of

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<v Speaker 3>Wheaton College and Illinois that are based in the ETF industry.

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<v Speaker 2>It's a powerhouse. So people probably heard wheat in Illinois

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<v Speaker 2>and don't know, but it really is.

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<v Speaker 3>There's a lot of people that are based out there

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<v Speaker 3>in this industry.

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<v Speaker 1>Well, you talked about, you know, just aid Innovator. I'd

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<v Speaker 1>really love to learn how defined outcome ETFs work at Innovator.

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<v Speaker 4>Yeah, yeah, happy to so defind out come ETFs. Like

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<v Speaker 4>I mentioned before, we pioneered this category, so we launched

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<v Speaker 4>the first ETF in twenty eighteen. It was our fifteen

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<v Speaker 4>percent buffer. To this day, it remains one of the

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<v Speaker 4>most popular ETFs in our suite. So I'll use a

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<v Speaker 4>fifteen buffer as the example as we go through this.

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<v Speaker 4>But just how do they work and what is their function?

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<v Speaker 4>So defined out COMEDTF isn't really anything new, right, Like,

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<v Speaker 4>these types of payoffs have existed in the structured note

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<v Speaker 4>rapper for many years, but we simply kind of shepherded

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<v Speaker 4>that exposure over into the ETF rapper. So there's three

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<v Speaker 4>things that you need to know when you're talking about

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<v Speaker 4>a defined out COMEDTF. The first this is BTF has

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<v Speaker 4>an outcome period, so that's a specific set of time.

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<v Speaker 4>It could be three months or a quarter. It could

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<v Speaker 4>be one year, it could be two years. That is

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<v Speaker 4>the time over which the defined outcome exists. Then you

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<v Speaker 4>have your protection that could be a buffer or a

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<v Speaker 4>barrier against losses, which we'll talk about more in a

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<v Speaker 4>moment that cushions you against losses, protects you in the

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<v Speaker 4>fifteen percent buffer example I gave that buffers you from

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<v Speaker 4>zero to negative fifteen percent. So over a one year

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<v Speaker 4>outcome period in the ETF, a tick orrell I'll throw

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<v Speaker 4>out is poct. That's our fifteen percent buffer on the

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<v Speaker 4>S and P five hundred that ETF is designed to

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<v Speaker 4>deliver you point to point exposure to the S and

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<v Speaker 4>P five hundred its price return over one year with

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<v Speaker 4>a fifteen percent buffer against losses. And then the third

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<v Speaker 4>component that I'll mention is there's an upside cap, so

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<v Speaker 4>there's no free lunch with the product. Even though you

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<v Speaker 4>have a buffer against losses, you're going to have a

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<v Speaker 4>cap on the upside So if the market finishes down

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<v Speaker 4>twenty percent at the end of that one year, you're

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<v Speaker 4>going to be down five percent in the fifteen percent

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<v Speaker 4>buffer ETF. If the market is down ten percent, you're buffered.

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<v Speaker 4>You're completely covered. The buffer did what it was supposed

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<v Speaker 4>to do, and you were flat. Now on the upside,

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<v Speaker 4>you're going to track one to one with the price

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<v Speaker 4>return of SPY. So let's say you have a twelve

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<v Speaker 4>percent upside cap in that ETF. If the market's skyrockets

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<v Speaker 4>and is up thirty percent over that one year, you're

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<v Speaker 4>going to hit your cap. You're going to be capped out,

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<v Speaker 4>as we like to say an innovator, and your return

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<v Speaker 4>is going to be twelve percent. But if the market

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<v Speaker 4>finishes up five you're going to be up five. You're

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<v Speaker 4>going to track one to one with that ETF over

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<v Speaker 4>that outcome period. So again, outcome period, protection level, and

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<v Speaker 4>upside cap or those three core components.

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<v Speaker 3>Yeah, so let's let's get into this little bit the

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<v Speaker 3>buffer version of the defined outcome products.

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<v Speaker 2>Those are the first ones that really.

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<v Speaker 3>Caught fire, But you have a bunch of other defined

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<v Speaker 3>outcome type products that are focused on income, accelerated returns,

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<v Speaker 3>full protection on the downside, different floors. Can you just

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<v Speaker 3>go into like the differences between how they're structured and

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<v Speaker 3>what those different things are trying to do your your

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<v Speaker 3>other products, I guess besides just the buffer.

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<v Speaker 4>Yeah, yeah, definitely. So defined out come ETFs is kind

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<v Speaker 4>of the umbrella, right, like everything lives under the defined

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<v Speaker 4>out com ETF umbrella. You're launching different segments under that umbrella.

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<v Speaker 4>So buffers, for instance, provide you a buffer against losses.

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<v Speaker 4>We mentioned this before. Once you move below the buffer level,

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<v Speaker 4>you start to take on those losses one to one,

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<v Speaker 4>but if you finish anywhere in that buffer, you're covered.

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<v Speaker 4>A barrier is a little bit different, So we offer

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<v Speaker 4>barrier income ETFs. That's a very popular type of structured notes,

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<v Speaker 4>and again we're bringing that to the ETF rapper. Now

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<v Speaker 4>that type of solution offers a set amount of income

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<v Speaker 4>on the upside, so we sell options you have a

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<v Speaker 4>set income level on the upside, so you're not going

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<v Speaker 4>to track the price return of the index. You're just

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<v Speaker 4>going to have that set income level. But your protection

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<v Speaker 4>is a barrier. So a barrier is a little bit

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<v Speaker 4>different than a buffer in that the barrier is protection

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<v Speaker 4>in place, but if you fall below the barrier, you've

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<v Speaker 4>now assumed all losses, including up until the barrier and

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<v Speaker 4>beyond the barrier. So just put some numbers to it.

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<v Speaker 4>A fifteen barrier, if the market finished down twenty, you're

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<v Speaker 4>going to be down in twenty because you kind of

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<v Speaker 4>locked into that barrier. You're taking on all the losses

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<v Speaker 4>once you went through the barrier level Versus with a

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<v Speaker 4>fifteen buffer, if the market was down twenty, you're just

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<v Speaker 4>going to be down five. So you can imagine since

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<v Speaker 4>there's more risk with the barrier, you're compensated a little

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<v Speaker 4>bit more on the upside. But to be honest with you, James,

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<v Speaker 4>you know most of the assets are in the buffers,

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<v Speaker 4>most of the interest is in the buffer space right now.

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<v Speaker 4>But we are beginning to see interest in barriers and accelerated.

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<v Speaker 2>Awesome, So can you talk a little bit.

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<v Speaker 3>You mentioned like these outcome periods, and like everything I

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<v Speaker 3>see for the most part right now, seems to be

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<v Speaker 3>following these one year outcome periods. Right, what is the

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<v Speaker 3>rebalance frequency? So on those obviously it's one year, Like

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<v Speaker 3>what are you seeing are you seeing interest in? Like

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<v Speaker 3>we're interested in one month outcome period three month out comperiods,

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<v Speaker 3>multi year. I mean you talk about direction, those leverage

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<v Speaker 3>ETFs right now, we see some issuers toying with doing

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<v Speaker 3>things longer than leverage on a daily basis. So those

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<v Speaker 3>direction products that offer you three times a return of

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<v Speaker 3>something or inverse return, it only tracks it for a day.

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<v Speaker 3>You guys are going the opposite where like you're kind

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<v Speaker 3>of only offering this thing over year. Like, are you

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<v Speaker 3>seeing interest in other areas of those outcomeperiods?

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<v Speaker 4>We are, Yeah. So we started with annual outcome periods,

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<v Speaker 4>and again our strategies are more defensive in nature, is

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<v Speaker 4>totally separate from a direction or appro shares. That being said,

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<v Speaker 4>we started with one year. We've seen a lot of

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<v Speaker 4>interesting quarterly outcome periods and the reason for that is

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<v Speaker 4>there's a more frequent reset. So advisors, for instance, if

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<v Speaker 4>they buy a one year outcomperiod and let's say the

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<v Speaker 4>market moves up three months in the market's up ten

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<v Speaker 4>or fifteen percent, that ETF that is a one year

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<v Speaker 4>out comperiod has now moved up and has experienced some

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<v Speaker 4>of its cap into that one year out comperiod. So

0:11:55.760 --> 0:11:58.199
<v Speaker 4>if you were to buy into that ETF three months

0:11:58.200 --> 0:12:00.640
<v Speaker 4>into the one year out comperiod, you actually now have

0:12:00.679 --> 0:12:02.520
<v Speaker 4>a little bit of downside right and you have a

0:12:02.559 --> 0:12:05.480
<v Speaker 4>little bit less cap. So that's why we typically see

0:12:05.559 --> 0:12:08.960
<v Speaker 4>volume cluster around the beginning or the end of the

0:12:08.960 --> 0:12:12.280
<v Speaker 4>outcome period, at least for our annual products. The reason

0:12:12.360 --> 0:12:15.600
<v Speaker 4>we've seen quarterly outcome periods explode in popularity these are

0:12:15.600 --> 0:12:19.880
<v Speaker 4>tickers like balt b alt zalt zlt is because of

0:12:19.920 --> 0:12:22.640
<v Speaker 4>that more frequent reset, James, And that's that's really useful

0:12:22.679 --> 0:12:26.280
<v Speaker 4>because advisors have money coming in throughout the year, so

0:12:26.320 --> 0:12:28.440
<v Speaker 4>they don't necessarily always want to worry about do I

0:12:28.440 --> 0:12:31.439
<v Speaker 4>buy this specific annual outcome period that's resetting in March.

0:12:31.800 --> 0:12:34.440
<v Speaker 4>Do I need to buy a different annual outcome period

0:12:34.480 --> 0:12:36.880
<v Speaker 4>resetting in August. Instead of lattering those they say, you

0:12:36.880 --> 0:12:39.360
<v Speaker 4>know what, I'm just going to use a quarterly outcome

0:12:39.400 --> 0:12:42.120
<v Speaker 4>period product, and when that money comes in throughout the year,

0:12:42.480 --> 0:12:45.240
<v Speaker 4>I know that in the next month, two or three months,

0:12:45.400 --> 0:12:47.840
<v Speaker 4>it's going to be resetting and getting a fresh downside

0:12:47.880 --> 0:12:49.880
<v Speaker 4>buffer and a fresh upside cap.

0:12:51.840 --> 0:12:55.280
<v Speaker 1>We're talking about the different kinds of buffer ETFs and

0:12:55.520 --> 0:12:58.040
<v Speaker 1>the different options, but I'd love to hear, and I

0:12:58.080 --> 0:13:00.840
<v Speaker 1>know our listeners would love to hear how these ETFs

0:13:00.880 --> 0:13:03.160
<v Speaker 1>are actually managed. You know, what are the steps that

0:13:03.200 --> 0:13:05.679
<v Speaker 1>the pms take to implement these strategies.

0:13:06.240 --> 0:13:10.199
<v Speaker 4>Yeah, so we innovator is the advisor. Our subadvisor is

0:13:10.280 --> 0:13:13.320
<v Speaker 4>Milliman Financial Risk Management, so we partner with them to

0:13:13.320 --> 0:13:16.200
<v Speaker 4>bring these ETFs to market. They manage the day to

0:13:16.240 --> 0:13:20.120
<v Speaker 4>day trading of these funds, and they have significant experience

0:13:20.160 --> 0:13:23.559
<v Speaker 4>working with the largest bank and insurance balance sheets and derivatives.

0:13:24.080 --> 0:13:27.600
<v Speaker 4>So the process is actually really simple, David. So the

0:13:27.640 --> 0:13:29.600
<v Speaker 4>benefit of the ETF for APPER, as we mentioned before,

0:13:29.920 --> 0:13:33.880
<v Speaker 4>the liquidity, the tax efficiency, the reset. So I'm going

0:13:33.960 --> 0:13:36.280
<v Speaker 4>to double click on the reset here because it's really cool.

0:13:37.360 --> 0:13:41.079
<v Speaker 4>We talked about outcome periods. What separates these ETFs from

0:13:41.120 --> 0:13:44.520
<v Speaker 4>a traditional structured note. So at the end or xpery

0:13:44.800 --> 0:13:47.520
<v Speaker 4>of a structured note, let's say it's one year, two years,

0:13:47.559 --> 0:13:51.080
<v Speaker 4>or five years or six months at xpery, that is

0:13:51.080 --> 0:13:54.120
<v Speaker 4>a taxable event that note comes due. That is a

0:13:54.120 --> 0:13:56.800
<v Speaker 4>taxable event for the investor or the advisor and their

0:13:56.840 --> 0:14:00.840
<v Speaker 4>client with the ETF at the end of the outcome period,

0:14:00.960 --> 0:14:02.680
<v Speaker 4>at the end of that one year or three month

0:14:02.679 --> 0:14:06.840
<v Speaker 4>out comperiod, it resets within the wrapper. So what that

0:14:06.920 --> 0:14:09.320
<v Speaker 4>means is we're going to roll the exposure at the

0:14:09.400 --> 0:14:11.240
<v Speaker 4>end of one year, and we're going to move into

0:14:11.280 --> 0:14:15.040
<v Speaker 4>a new basket of options with a one year xpree.

0:14:15.080 --> 0:14:18.800
<v Speaker 4>That process of either selling we're letting those options expire

0:14:19.080 --> 0:14:21.520
<v Speaker 4>if they're in a lass position. In rolling into a

0:14:21.520 --> 0:14:25.280
<v Speaker 4>new options basket is not a taxable event that occurs

0:14:25.320 --> 0:14:29.120
<v Speaker 4>within the ETF wrapper. So it's not tax avoidance, it's

0:14:29.120 --> 0:14:32.480
<v Speaker 4>tax deferral. We're deferring those gains to the future. But

0:14:32.560 --> 0:14:35.440
<v Speaker 4>the benefit for you is the investor, is when you

0:14:35.480 --> 0:14:38.200
<v Speaker 4>buy that ETF at the end of that outcome period,

0:14:38.400 --> 0:14:41.320
<v Speaker 4>there's nothing that you need to do, absolutely nothing. You're

0:14:41.320 --> 0:14:43.520
<v Speaker 4>going to get a fresh buffer and a fresh upside

0:14:43.520 --> 0:14:46.720
<v Speaker 4>cap and you can hold the ETF in perpetuity and

0:14:46.840 --> 0:14:49.480
<v Speaker 4>you decide when you want to experience that taxable event

0:14:49.720 --> 0:14:52.480
<v Speaker 4>when you sell the ETF. So what actually happens behind

0:14:52.480 --> 0:14:54.520
<v Speaker 4>the scenes on that reset day To answer your question,

0:14:56.200 --> 0:14:58.480
<v Speaker 4>we move in and is that ETF approaches the end

0:14:58.520 --> 0:15:01.160
<v Speaker 4>of its outcome period. On the final trading day of

0:15:01.160 --> 0:15:05.000
<v Speaker 4>that outcome period, we close out that basket of options

0:15:05.080 --> 0:15:07.560
<v Speaker 4>typically four options, which we can get into in a moment,

0:15:08.200 --> 0:15:10.600
<v Speaker 4>and we roll into a new basket of options with

0:15:10.680 --> 0:15:13.200
<v Speaker 4>a new one year expery and then even though these

0:15:13.240 --> 0:15:17.360
<v Speaker 4>are classified as active ETFs, there's really no active management

0:15:17.440 --> 0:15:20.440
<v Speaker 4>that's occurring. It's all systematic in nature. So once we

0:15:20.480 --> 0:15:23.000
<v Speaker 4>strike those options at the beginning of the outcome period,

0:15:23.400 --> 0:15:26.280
<v Speaker 4>that set of options with that xpery and those strikes

0:15:26.520 --> 0:15:28.520
<v Speaker 4>are not going to change. Those will going to be

0:15:28.560 --> 0:15:31.360
<v Speaker 4>the exact same options for the entirety of the outcome period.

0:15:31.520 --> 0:15:33.480
<v Speaker 4>The only thing that's going to change is the quantity

0:15:33.680 --> 0:15:36.160
<v Speaker 4>of the options in the basket when we see creations

0:15:36.240 --> 0:15:37.880
<v Speaker 4>or redemptions in the ETF.

0:15:40.400 --> 0:15:42.520
<v Speaker 3>So we've talked a lot of high level about like

0:15:42.560 --> 0:15:46.080
<v Speaker 3>what these things offer in the outcome periods and the

0:15:46.120 --> 0:15:48.800
<v Speaker 3>caps and the floors, but like, can you get into

0:15:48.840 --> 0:15:50.600
<v Speaker 3>a little more detail you kind of hinted at there,

0:15:50.600 --> 0:15:53.160
<v Speaker 3>and like what exactly is in these portfolios, like what

0:15:53.360 --> 0:15:55.920
<v Speaker 3>is being held and how are you generating these you know,

0:15:56.240 --> 0:15:59.000
<v Speaker 3>defined outcomes for these funds.

0:16:00.160 --> 0:16:03.400
<v Speaker 4>So the magic really occurs in the flex options. So

0:16:03.440 --> 0:16:05.000
<v Speaker 4>if you look under the hood, you peel back the

0:16:05.040 --> 0:16:08.480
<v Speaker 4>onion of a defined out com ETF. We talked about

0:16:08.480 --> 0:16:10.960
<v Speaker 4>a fifteen percent buffer earlier. We're going to stick on that.

0:16:11.280 --> 0:16:13.880
<v Speaker 4>You'll see four options. The first is it deep in

0:16:13.920 --> 0:16:16.080
<v Speaker 4>the money call that's going to act like you're one

0:16:16.080 --> 0:16:19.360
<v Speaker 4>to one exposure to spy. You're going to have your protection,

0:16:19.600 --> 0:16:22.520
<v Speaker 4>which is a put spread, typically an at the money

0:16:22.520 --> 0:16:25.360
<v Speaker 4>put and then another puts sold about fifteen percent lower,

0:16:26.560 --> 0:16:28.600
<v Speaker 4>and then we have a call on the upside that

0:16:28.640 --> 0:16:31.120
<v Speaker 4>we sell, and we sell that call on the upside

0:16:31.120 --> 0:16:34.040
<v Speaker 4>and that's what sets our cap for the outcome period.

0:16:34.480 --> 0:16:37.080
<v Speaker 4>We're going to sell that call at the highest level

0:16:37.080 --> 0:16:39.920
<v Speaker 4>that we can to set the cap that will perfectly

0:16:39.960 --> 0:16:42.880
<v Speaker 4>finance the protection or the buffer that we have in

0:16:42.920 --> 0:16:46.720
<v Speaker 4>place with those puts. So typically four options in that basket.

0:16:47.480 --> 0:16:50.680
<v Speaker 4>They are exchange traded in their flex options, So flex

0:16:50.760 --> 0:16:54.680
<v Speaker 4>is easy for your listeners. Flex is flexible. What that

0:16:54.720 --> 0:16:57.680
<v Speaker 4>means is that we can customize the tenor we can

0:16:57.720 --> 0:17:01.040
<v Speaker 4>customize the strike price. And the reason that we do

0:17:01.120 --> 0:17:04.000
<v Speaker 4>that is we want to be able to communicate a

0:17:04.000 --> 0:17:08.200
<v Speaker 4>perfect fifteen percent a perfect thirty percent buffer for our clients.

0:17:08.840 --> 0:17:10.679
<v Speaker 4>And you know, putting on my market making have for

0:17:10.720 --> 0:17:14.760
<v Speaker 4>a second. You know, these these ETFs and these options

0:17:15.240 --> 0:17:17.720
<v Speaker 4>trade very similarly to like a listed option, So a

0:17:17.760 --> 0:17:20.680
<v Speaker 4>flex option is really eased to hedge those market makers

0:17:20.720 --> 0:17:22.159
<v Speaker 4>that are out there they've told me. It's kind of

0:17:22.160 --> 0:17:24.320
<v Speaker 4>like a Swiss army knife. Of ways that you can

0:17:24.359 --> 0:17:28.239
<v Speaker 4>hedge our ETFs. You can use spy, you can use

0:17:28.320 --> 0:17:32.160
<v Speaker 4>spy options, you can use index options. The critical takeaway

0:17:32.200 --> 0:17:35.920
<v Speaker 4>for your listeners is that the basket is hyper liquid.

0:17:36.480 --> 0:17:38.239
<v Speaker 4>If you look under the hood of these ETFs, you'll

0:17:38.240 --> 0:17:41.000
<v Speaker 4>see a basket of flex options tracking the most liquid

0:17:41.080 --> 0:17:45.159
<v Speaker 4>equity benchmarks in the world. So spy iwm q's efa

0:17:45.359 --> 0:17:48.800
<v Speaker 4>ee M, we're tapping into all of those liquid benchmarks

0:17:49.080 --> 0:17:51.439
<v Speaker 4>with our flex options. So don't be to turn if

0:17:51.440 --> 0:17:53.880
<v Speaker 4>you look into the basket and you see options. Remember

0:17:54.000 --> 0:17:57.520
<v Speaker 4>they're tracking the most liquid benchmarks. They're very simple to hedge,

0:17:57.840 --> 0:17:59.439
<v Speaker 4>and the proof's kind of in the pudding because if

0:17:59.440 --> 0:18:02.160
<v Speaker 4>you look at the ds on screen, James, you'll see

0:18:02.200 --> 0:18:05.000
<v Speaker 4>they're like fifteen to twenty basis points, which is super

0:18:05.040 --> 0:18:08.200
<v Speaker 4>tight across the ETF landscape for ETFs.

0:18:09.880 --> 0:18:12.480
<v Speaker 1>So how much of this is automated?

0:18:13.880 --> 0:18:17.359
<v Speaker 4>Good question, Almost all of it, I would say systematic.

0:18:17.520 --> 0:18:21.119
<v Speaker 4>So kind of an anecdote is when I was on

0:18:21.160 --> 0:18:24.840
<v Speaker 4>the desk at Virtue, RFQs were just kind of getting

0:18:24.840 --> 0:18:27.119
<v Speaker 4>their start. That's a Bloomberg turmoil. They're out there but

0:18:27.200 --> 0:18:30.879
<v Speaker 4>it stands for requests for quote. And one of the

0:18:30.920 --> 0:18:32.359
<v Speaker 4>things that we did when I was a trader on

0:18:32.400 --> 0:18:35.199
<v Speaker 4>that desk is we were getting quotes from people all

0:18:35.280 --> 0:18:37.280
<v Speaker 4>day long, people paying us saying I need to buy

0:18:37.280 --> 0:18:39.720
<v Speaker 4>fifty thousand shares of this ETF eighty thousand shares of

0:18:39.760 --> 0:18:43.240
<v Speaker 4>this ETF, and those quotes would hit the market making

0:18:43.280 --> 0:18:46.439
<v Speaker 4>desks and they typically would put market makers in competition

0:18:46.880 --> 0:18:49.639
<v Speaker 4>when an advisor or an institution wants to purchase a

0:18:49.680 --> 0:18:52.439
<v Speaker 4>big block of an ETF, So our job as a

0:18:52.440 --> 0:18:55.120
<v Speaker 4>market maker was we have to give them a competitive quote.

0:18:55.400 --> 0:18:58.439
<v Speaker 4>The problem was is that ETF became really popular and

0:18:58.480 --> 0:19:01.600
<v Speaker 4>everybody wanted a quote all the time. So what we

0:19:01.640 --> 0:19:04.440
<v Speaker 4>did was we found a way to automate the response

0:19:04.800 --> 0:19:07.320
<v Speaker 4>to RFQs a request for quotes. And now if you

0:19:07.359 --> 0:19:09.840
<v Speaker 4>look across the ETF marketplace, if we have advisors on

0:19:09.880 --> 0:19:12.800
<v Speaker 4>the call, if they custody at Schwab or the custody

0:19:12.840 --> 0:19:16.680
<v Speaker 4>at Fidelity, that entire process is automated. They go to

0:19:16.720 --> 0:19:19.440
<v Speaker 4>their block desk at one of those custodial firms, or

0:19:19.440 --> 0:19:21.879
<v Speaker 4>if you're an institution, you go to a custodian or

0:19:21.880 --> 0:19:24.680
<v Speaker 4>a market maker and you can get a nearly instantaneous

0:19:24.720 --> 0:19:28.000
<v Speaker 4>quote back on an ETF block trade, and that's because

0:19:28.000 --> 0:19:32.880
<v Speaker 4>of the automation of the request for quote process. So options,

0:19:32.880 --> 0:19:36.080
<v Speaker 4>it's a relatively similar process in what we're doing. We

0:19:36.119 --> 0:19:38.840
<v Speaker 4>go out there whenever we reset the funds, and we

0:19:38.920 --> 0:19:40.840
<v Speaker 4>use an auction, and we go out to five or

0:19:40.880 --> 0:19:44.479
<v Speaker 4>six different option market makers and we request a quote

0:19:45.359 --> 0:19:49.080
<v Speaker 4>on the options package. And this is a cool caveat.

0:19:49.240 --> 0:19:51.760
<v Speaker 4>We actually trade the options as a package. Instead of

0:19:51.800 --> 0:19:55.240
<v Speaker 4>going out there and trading each individual options, leg Innovator

0:19:55.280 --> 0:19:57.920
<v Speaker 4>goes out and gets a quote on that entire options package.

0:19:58.359 --> 0:20:00.159
<v Speaker 4>And the thing I like to say is that we

0:20:00.160 --> 0:20:03.000
<v Speaker 4>have economies of scale and we actually have the attention

0:20:03.320 --> 0:20:08.280
<v Speaker 4>of these big options market makers like Susquehanna, Old Mission, Goldman, Sachs,

0:20:08.359 --> 0:20:10.920
<v Speaker 4>Jane Street. So what we found is that we're actually

0:20:10.960 --> 0:20:14.960
<v Speaker 4>able to get a significantly higher cap for our investors

0:20:15.320 --> 0:20:16.840
<v Speaker 4>than if they tried to do this on their own.

0:20:17.440 --> 0:20:20.679
<v Speaker 4>And that's what I talked to about with institutions, pensions, endowments.

0:20:21.320 --> 0:20:22.639
<v Speaker 4>We say, you know what, you can try to mimic

0:20:22.680 --> 0:20:25.959
<v Speaker 4>this yourself, but you'll typically get a lower cap than

0:20:26.000 --> 0:20:27.920
<v Speaker 4>you would get if you use the innovative product because

0:20:27.920 --> 0:20:30.280
<v Speaker 4>of our economies of scale. And to top of that,

0:20:30.520 --> 0:20:33.280
<v Speaker 4>David and James, nobody wants to manage options. That's the

0:20:33.280 --> 0:20:37.359
<v Speaker 4>feedback that we've gotten. It's Harry. It creates operational difficulties.

0:20:37.680 --> 0:20:39.639
<v Speaker 4>So if you can get that risk managed exposure in

0:20:39.720 --> 0:20:41.400
<v Speaker 4>the etf rapper, it's a win.

0:20:42.600 --> 0:20:44.439
<v Speaker 3>Yeah, if I find that, Like when I talk with

0:20:44.480 --> 0:20:46.359
<v Speaker 3>people about these, they're like, oh, I can just do

0:20:46.440 --> 0:20:47.840
<v Speaker 3>this myself, And I'm like, go ahead.

0:20:48.920 --> 0:20:50.520
<v Speaker 2>If you can figure out how to do it, go ahead.

0:20:50.560 --> 0:20:54.439
<v Speaker 3>But I guess my next question is something you just

0:20:54.480 --> 0:20:57.760
<v Speaker 3>hit to a real quick, Like can you talk about

0:20:57.800 --> 0:21:00.600
<v Speaker 3>like how the cap is determined? Like, obviously options pricing

0:21:00.600 --> 0:21:03.640
<v Speaker 3>are determined by you know, a whole host of different things,

0:21:03.680 --> 0:21:07.520
<v Speaker 3>applied volatility, interest rates, time to expirey, you name it,

0:21:07.560 --> 0:21:11.480
<v Speaker 3>the underlying asset. So like, how is the cap actually determined?

0:21:11.520 --> 0:21:13.159
<v Speaker 3>You said you can get a higher cap, but like,

0:21:13.160 --> 0:21:15.720
<v Speaker 3>can you go into like the math of why you

0:21:15.760 --> 0:21:17.960
<v Speaker 3>can get a higher cap than most individuals and like

0:21:18.000 --> 0:21:19.280
<v Speaker 3>what goes into calculating that?

0:21:19.800 --> 0:21:22.920
<v Speaker 4>Yeah? Yeah, without going to in the weeds, I think

0:21:23.840 --> 0:21:25.959
<v Speaker 4>there are a couple things that go into it. So,

0:21:26.000 --> 0:21:28.560
<v Speaker 4>first of all, are size, right, So when you hit

0:21:28.600 --> 0:21:32.240
<v Speaker 4>a certain critical size. We are now rebalancing billions of

0:21:32.280 --> 0:21:36.200
<v Speaker 4>dollars in options each month. I mentioned spread costs before,

0:21:36.720 --> 0:21:38.720
<v Speaker 4>So James, if you were to go and buy options

0:21:38.720 --> 0:21:41.439
<v Speaker 4>on screen right now, you could see what that spread

0:21:41.480 --> 0:21:43.640
<v Speaker 4>cost would be, and you'd have to calculate the spread

0:21:44.400 --> 0:21:48.120
<v Speaker 4>of the listed options for each individual leg We typically

0:21:48.160 --> 0:21:50.840
<v Speaker 4>are going to pay around twenty to thirty percent of

0:21:50.840 --> 0:21:53.520
<v Speaker 4>that spread cost, which means that we have more options

0:21:53.520 --> 0:21:56.680
<v Speaker 4>budget to spend on that specific package, so we're paying

0:21:56.760 --> 0:21:58.800
<v Speaker 4>less and spread cost that's going to contribute to a

0:21:58.840 --> 0:22:02.240
<v Speaker 4>higher cap. On top of that, we typically get superior

0:22:02.280 --> 0:22:05.960
<v Speaker 4>pricing on a fifteen percent buffer. We recently modeled that

0:22:06.040 --> 0:22:08.879
<v Speaker 4>we get between one and two percent, so around one

0:22:08.880 --> 0:22:11.479
<v Speaker 4>and a half percent. We'll call it higher cap than

0:22:11.520 --> 0:22:14.400
<v Speaker 4>if you tried to do this exact same payoff yourself

0:22:14.800 --> 0:22:18.320
<v Speaker 4>using listed options, So a significantly higher cap that not

0:22:18.359 --> 0:22:21.480
<v Speaker 4>only is larger than the management fee that we charge,

0:22:21.640 --> 0:22:24.080
<v Speaker 4>but also just gives you additional upside for your investors.

0:22:24.680 --> 0:22:26.760
<v Speaker 4>So I would say spread cost is a main determinant.

0:22:27.080 --> 0:22:31.440
<v Speaker 4>Economies of scale is another determinants in generally those market

0:22:31.440 --> 0:22:34.560
<v Speaker 4>maker relationships that we built over the course of the

0:22:34.600 --> 0:22:37.520
<v Speaker 4>past six seven years of doing this are a large contributor.

0:22:38.600 --> 0:22:41.639
<v Speaker 3>So this is like we've talked about like the pros

0:22:42.119 --> 0:22:45.280
<v Speaker 3>almost exclusively here, right. Obviously there are some cons in

0:22:45.280 --> 0:22:47.240
<v Speaker 3>the fact if you go through the buffer, particularly with

0:22:47.240 --> 0:22:51.000
<v Speaker 3>the buyer ETF. But like one con that I know of.

0:22:51.520 --> 0:22:54.320
<v Speaker 3>You mentioned price return multiple times, So these things aren't

0:22:54.320 --> 0:22:56.640
<v Speaker 3>total return. So can you go into one why you're

0:22:56.680 --> 0:22:59.000
<v Speaker 3>using price return and not total return? So incomes aren't

0:22:59.000 --> 0:23:03.360
<v Speaker 3>accounted for here? And like what other cons are you

0:23:03.400 --> 0:23:05.080
<v Speaker 3>like seeing most people worried about.

0:23:05.320 --> 0:23:09.719
<v Speaker 4>Yeah, so you know from our perspective there are cons.

0:23:09.760 --> 0:23:11.480
<v Speaker 4>I guess the con that would come to my mind

0:23:11.560 --> 0:23:14.800
<v Speaker 4>is you know your captain the upside. But in my

0:23:14.880 --> 0:23:17.159
<v Speaker 4>mind that's not a true con. The mistake that I

0:23:17.200 --> 0:23:20.000
<v Speaker 4>see James across the industry, and I see articles all

0:23:20.040 --> 0:23:21.240
<v Speaker 4>the time, and I think there's a little bit of

0:23:21.280 --> 0:23:24.639
<v Speaker 4>a misconception here. People compare the buffer ETF to the

0:23:24.680 --> 0:23:27.640
<v Speaker 4>reference asset. So they'll compare a fifteen percent buffer to spy.

0:23:28.080 --> 0:23:29.880
<v Speaker 4>They'll pull up a chart of twenty years and they'll

0:23:29.880 --> 0:23:32.720
<v Speaker 4>say this ETF underperforms. But I think there's kind of

0:23:32.760 --> 0:23:36.359
<v Speaker 4>just a fundamental misunderstanding of what the investment objective is

0:23:36.680 --> 0:23:39.520
<v Speaker 4>of the ETF. It's designed to deliver risk managed exposure.

0:23:39.840 --> 0:23:43.239
<v Speaker 4>It's designed to deliver that defined outcome. If you move

0:23:43.359 --> 0:23:45.800
<v Speaker 4>below the buffer, James, yes, you're going to take on

0:23:45.800 --> 0:23:48.560
<v Speaker 4>one to one downside, but you're still going to outperform

0:23:49.200 --> 0:23:52.280
<v Speaker 4>if you had just held unheadged equities. So you know,

0:23:52.280 --> 0:23:56.760
<v Speaker 4>from my perspective, the risk managed, the risk managed exposure

0:23:56.960 --> 0:23:59.000
<v Speaker 4>is built into the structure, and I think folks that

0:23:59.040 --> 0:24:02.320
<v Speaker 4>have usedtructured product, they get that, they're familiar with it.

0:24:03.520 --> 0:24:06.479
<v Speaker 4>Another thing that's come up, James, is what if we

0:24:06.480 --> 0:24:08.560
<v Speaker 4>buy the ETF in the middle of the outcome period.

0:24:08.600 --> 0:24:10.479
<v Speaker 4>What if we buy it at the wrong time, what

0:24:10.520 --> 0:24:12.200
<v Speaker 4>if we buy it in the markets up, I buy

0:24:12.200 --> 0:24:14.560
<v Speaker 4>it six months into the twelve month outcome period and

0:24:14.600 --> 0:24:17.760
<v Speaker 4>I have downside. And we, as kind of the pioneer

0:24:17.760 --> 0:24:20.520
<v Speaker 4>in the space, have put a ton of effort into

0:24:20.520 --> 0:24:22.480
<v Speaker 4>our website and our tools. So if you go to

0:24:22.520 --> 0:24:25.520
<v Speaker 4>our website, I would encourage folks to go to innovator

0:24:25.560 --> 0:24:29.920
<v Speaker 4>ETFs dot com. We've designed five different tools, a potential

0:24:30.000 --> 0:24:34.200
<v Speaker 4>outcome analyzer, a previous outcome analyzer, a personal outcome analyzer

0:24:34.480 --> 0:24:36.360
<v Speaker 4>to help you make sure that you're getting in at

0:24:36.359 --> 0:24:39.360
<v Speaker 4>the right point the outcome is exactly what you would

0:24:39.359 --> 0:24:42.080
<v Speaker 4>expect it to be and avoid any of those situations.

0:24:42.280 --> 0:24:46.199
<v Speaker 4>So those are the potential pitfalls that we've heard raised,

0:24:46.440 --> 0:24:49.000
<v Speaker 4>but those are easily addressable if you use some of

0:24:49.000 --> 0:24:49.560
<v Speaker 4>our tools.

0:24:50.920 --> 0:24:53.080
<v Speaker 3>So I guess my next question would be, like when

0:24:53.160 --> 0:24:55.720
<v Speaker 3>rates were really low, when these things launched, the main

0:24:55.800 --> 0:24:57.960
<v Speaker 3>thing I saw people thinking about doing was if you

0:24:57.960 --> 0:25:01.080
<v Speaker 3>had a sixty to forty portfolio taken like a small

0:25:01.080 --> 0:25:03.439
<v Speaker 3>slug of their fix income and putting into these because

0:25:03.480 --> 0:25:05.520
<v Speaker 3>the risk was not nearly as high as just going

0:25:05.520 --> 0:25:07.919
<v Speaker 3>full equity, and they were trying to juice their returns

0:25:07.920 --> 0:25:09.840
<v Speaker 3>because they didn't have any income from their fix income.

0:25:10.720 --> 0:25:13.040
<v Speaker 3>Right now, rates are high, people have no problem getting income,

0:25:13.040 --> 0:25:15.119
<v Speaker 3>but you guys are still pulling in assets. I guess, like,

0:25:15.160 --> 0:25:17.920
<v Speaker 3>what are you seeing people actually doing in the allocation

0:25:18.080 --> 0:25:19.720
<v Speaker 3>side of this, Like where are they taking it from?

0:25:19.760 --> 0:25:21.679
<v Speaker 3>Are they taking it from an alts bucket? Are they

0:25:21.680 --> 0:25:24.160
<v Speaker 3>take it from the equity bucket fixed income? Like what

0:25:24.160 --> 0:25:26.680
<v Speaker 3>what are you seeing happening? And what type of allocations

0:25:26.680 --> 0:25:29.680
<v Speaker 3>are we seeing? Because I would say like people should

0:25:29.760 --> 0:25:32.360
<v Speaker 3>not be substituting their core equity exposure with these things,

0:25:32.359 --> 0:25:34.400
<v Speaker 3>But it makes sense in some regard like to take

0:25:34.480 --> 0:25:36.200
<v Speaker 3>maybe some of it if you're worried about risk over

0:25:36.240 --> 0:25:37.520
<v Speaker 3>the next year term or something like that.

0:25:37.560 --> 0:25:39.680
<v Speaker 2>But how are you seeing people actually use these things?

0:25:41.520 --> 0:25:46.399
<v Speaker 4>Yeah? Great, great question. So sixty twenty twenty is a

0:25:46.400 --> 0:25:48.520
<v Speaker 4>phrase that we've thrown around recently. We just published a

0:25:48.560 --> 0:25:50.600
<v Speaker 4>white paper on it. So, if you go back to

0:25:50.640 --> 0:25:54.159
<v Speaker 4>COVID rates went to zero, we saw a ton of

0:25:54.200 --> 0:25:57.200
<v Speaker 4>people move a lot of their bond exposure into buffers

0:25:57.240 --> 0:25:59.440
<v Speaker 4>to get more upside. They had squeezed all the juice

0:25:59.440 --> 0:26:01.479
<v Speaker 4>out of their bond allocation. They said, okay, we're going

0:26:01.520 --> 0:26:03.719
<v Speaker 4>to take some of that bond exposure and we're going

0:26:03.720 --> 0:26:06.840
<v Speaker 4>to put it into a buffer. Then we saw rates

0:26:06.880 --> 0:26:09.679
<v Speaker 4>go up, right, and something really interesting happened, James, and

0:26:09.720 --> 0:26:12.560
<v Speaker 4>this is why our product suite really can stand the

0:26:12.560 --> 0:26:16.800
<v Speaker 4>test of time in volatility and rates. When rates went up,

0:26:17.600 --> 0:26:21.159
<v Speaker 4>certain segments of our suite became very appealing. So, for instance,

0:26:21.200 --> 0:26:24.520
<v Speaker 4>we launched the first one hundred percent buffer ETFs last year,

0:26:24.760 --> 0:26:28.159
<v Speaker 4>which is basically a principally protected note equivalent in the

0:26:28.160 --> 0:26:31.840
<v Speaker 4>ETF wrapper, and rates were a key determinants of the

0:26:31.920 --> 0:26:34.520
<v Speaker 4>upside cap in that ETF, so you were able to

0:26:34.560 --> 0:26:38.639
<v Speaker 4>get around a nine to ten percent upside cap to

0:26:38.680 --> 0:26:41.320
<v Speaker 4>the s and P five hundred with full principal protection,

0:26:42.160 --> 0:26:44.480
<v Speaker 4>which was around two times what you were getting in

0:26:44.520 --> 0:26:47.480
<v Speaker 4>treasuries at the time. So the rate environment actually helped

0:26:47.560 --> 0:26:50.159
<v Speaker 4>products like that, and we saw one hundred percent buffer

0:26:50.200 --> 0:26:53.520
<v Speaker 4>ETFs used as sort of a cash substitute, cash compliment,

0:26:53.600 --> 0:26:56.520
<v Speaker 4>get that cash off the sidelines, but in sort of

0:26:56.520 --> 0:27:00.000
<v Speaker 4>a core allocation. Where does it fit We view these

0:27:00.080 --> 0:27:05.960
<v Speaker 4>ETFs for conservative investors, pre retirees, retirees. We see folks

0:27:06.000 --> 0:27:09.760
<v Speaker 4>pulling our thirty percent buffer or our bolts, our quarterly

0:27:09.800 --> 0:27:12.679
<v Speaker 4>twenty percent buffer, taking some of their bond exposure and

0:27:12.720 --> 0:27:15.680
<v Speaker 4>putting it in that highly defensive buffer ETF to get

0:27:15.680 --> 0:27:19.080
<v Speaker 4>more upside. The key thing to James Is and David

0:27:19.160 --> 0:27:21.439
<v Speaker 4>is taxes. This is something that keeps coming up. There

0:27:21.440 --> 0:27:24.240
<v Speaker 4>are ETFs now in the marketplace that it will not

0:27:24.320 --> 0:27:27.280
<v Speaker 4>be named, that are almost designed for that purpose to

0:27:27.359 --> 0:27:30.359
<v Speaker 4>deliver you just the price return and avoid that. It's

0:27:30.400 --> 0:27:33.520
<v Speaker 4>a nice consequence of the buffer ETFs that we are

0:27:33.560 --> 0:27:35.920
<v Speaker 4>not paying the dividends. We actually use that dividend to

0:27:36.000 --> 0:27:39.560
<v Speaker 4>finance a higher upside cap for our investors, So we

0:27:39.640 --> 0:27:42.840
<v Speaker 4>don't ever intend to pay out any sort of capital

0:27:42.840 --> 0:27:45.240
<v Speaker 4>gains distribution in the fund. These funds are designed to

0:27:45.280 --> 0:27:49.040
<v Speaker 4>deliver that price return, and that's intentional because clients don't

0:27:49.040 --> 0:27:51.720
<v Speaker 4>want to pay taxes. They want to insulate that they

0:27:51.720 --> 0:27:54.359
<v Speaker 4>want to defer taxes in the fund until the future

0:27:54.400 --> 0:27:57.240
<v Speaker 4>points and that's the benefit of the buffers. So James

0:27:57.240 --> 0:28:01.320
<v Speaker 4>I would say hadged equity conservative equity bond replacement. We

0:28:01.400 --> 0:28:02.960
<v Speaker 4>kind of see it run the gamut depending on the

0:28:02.960 --> 0:28:03.560
<v Speaker 4>buffal level.

0:28:04.640 --> 0:28:06.960
<v Speaker 3>Alsome one last quick question before I hand it over

0:28:07.000 --> 0:28:11.399
<v Speaker 3>to Dave. You you talked about like there's other indices.

0:28:11.480 --> 0:28:13.359
<v Speaker 3>From the most part of what I'm seeing, all the

0:28:13.400 --> 0:28:15.119
<v Speaker 3>assets are for the most part in like S and

0:28:15.160 --> 0:28:17.680
<v Speaker 3>P five hundred of these products. So when we're talking

0:28:17.680 --> 0:28:19.360
<v Speaker 3>about the index of the underline track is the SMP

0:28:19.359 --> 0:28:21.520
<v Speaker 3>five hundred. But you mentioned flex options are available on

0:28:21.600 --> 0:28:25.200
<v Speaker 3>a bunch of other underlying indices. I know you guys

0:28:25.200 --> 0:28:27.520
<v Speaker 3>have tried with other different assets. Are you where are

0:28:27.520 --> 0:28:29.439
<v Speaker 3>you seeing demand? You're seeing demand anywhere other than the

0:28:29.480 --> 0:28:31.400
<v Speaker 3>S and P five hundred. Are you going to hopefully

0:28:31.440 --> 0:28:33.400
<v Speaker 3>are you looking to launch other products at some point

0:28:33.560 --> 0:28:35.640
<v Speaker 3>tracking underlying different underlying indices?

0:28:35.720 --> 0:28:37.360
<v Speaker 2>Where else are you looking to do these.

0:28:38.560 --> 0:28:40.600
<v Speaker 4>We are Yeah, that's spot on. So the majority of

0:28:40.640 --> 0:28:43.560
<v Speaker 4>the assets now live I think it's over eighty percent

0:28:43.640 --> 0:28:46.120
<v Speaker 4>live in the S and P five hundred complex. That

0:28:46.240 --> 0:28:49.720
<v Speaker 4>being said, we are far and away the largest provider

0:28:49.840 --> 0:28:52.280
<v Speaker 4>when it comes to the other indices, and by other

0:28:52.440 --> 0:28:59.000
<v Speaker 4>I mean Developed Markets EFA, Emerging Markets EEM, small Caps IWM, TLT,

0:28:59.280 --> 0:29:02.440
<v Speaker 4>as well as Deck one hundred, the cues. We have

0:29:02.640 --> 0:29:06.000
<v Speaker 4>monthly offerings on all of those ETFs, so fifteen percent

0:29:06.000 --> 0:29:09.400
<v Speaker 4>buffers on all of those ETFs with one year outcome periods.

0:29:09.440 --> 0:29:12.920
<v Speaker 4>We recently launched quarterly outcome periods with a ten percent

0:29:12.960 --> 0:29:15.560
<v Speaker 4>buffer on all of those. And to be honest with

0:29:15.600 --> 0:29:21.200
<v Speaker 4>you guys, the growth there is accelerating even faster than

0:29:21.200 --> 0:29:23.320
<v Speaker 4>the S and P five hundred complex. Over the past

0:29:23.360 --> 0:29:26.760
<v Speaker 4>two years, each of those reference assets, just to put

0:29:26.800 --> 0:29:29.480
<v Speaker 4>it in perspective, is approaching around a billion dollars, so

0:29:29.560 --> 0:29:32.160
<v Speaker 4>a lot smaller than the big pie, which is fifty billion.

0:29:32.640 --> 0:29:36.280
<v Speaker 4>But the reason that people are buffering those indices is

0:29:36.280 --> 0:29:39.520
<v Speaker 4>that they've typically underperformed like the small caps. Like people have.

0:29:39.600 --> 0:29:41.480
<v Speaker 4>People have been trying to time small caps for a

0:29:41.480 --> 0:29:44.840
<v Speaker 4>long time. Advisors have been in institutions, have been a

0:29:44.840 --> 0:29:47.440
<v Speaker 4>little bit tenuous when it comes to investing in those.

0:29:47.480 --> 0:29:50.760
<v Speaker 4>So we say, if you're considering it, use a buffer

0:29:51.080 --> 0:29:53.720
<v Speaker 4>avoid market timing, and if you're incorrect, you have that

0:29:53.720 --> 0:29:54.880
<v Speaker 4>built in protection in place.

0:29:55.400 --> 0:29:55.800
<v Speaker 2>Awesome.

0:29:55.920 --> 0:29:58.000
<v Speaker 3>You mentioned TLT, but we talked about a bunch of

0:29:58.000 --> 0:30:01.360
<v Speaker 3>equityts that's a long duration treasury ETF for those that

0:30:01.440 --> 0:30:04.120
<v Speaker 3>aren't sure what TLT is. So they're doing this on

0:30:04.200 --> 0:30:04.920
<v Speaker 3>fixed income too.

0:30:05.440 --> 0:30:07.280
<v Speaker 1>So I was going to say before we let you go,

0:30:07.720 --> 0:30:10.880
<v Speaker 1>I actually have a question, and you know, it kind

0:30:10.880 --> 0:30:14.400
<v Speaker 1>of relates to what we were just talking about, and

0:30:14.480 --> 0:30:17.600
<v Speaker 1>so you mentioned all these other indexes and so you know,

0:30:17.640 --> 0:30:19.520
<v Speaker 1>my question is, really, do you have any predictions for

0:30:19.560 --> 0:30:22.280
<v Speaker 1>the future of buffer ETFs? And you know, part of

0:30:22.280 --> 0:30:24.680
<v Speaker 1>that is, you know, could there be a situation where

0:30:24.680 --> 0:30:28.640
<v Speaker 1>there are flex options on other types of indexes, even

0:30:28.880 --> 0:30:31.120
<v Speaker 1>you know, maybe smart beta you know, to try to

0:30:31.720 --> 0:30:34.640
<v Speaker 1>you know, do a buffer on a smart beta index,

0:30:35.080 --> 0:30:37.200
<v Speaker 1>or you know, just general predictions for the future.

0:30:37.280 --> 0:30:39.800
<v Speaker 4>Yeah, this is this is really exciting. You know, when

0:30:39.800 --> 0:30:43.400
<v Speaker 4>we think about the total addressable market at Innovator, we

0:30:43.480 --> 0:30:46.479
<v Speaker 4>really look at structured products is our north star. When

0:30:46.520 --> 0:30:48.840
<v Speaker 4>we think about new products, we look at what's selling

0:30:48.920 --> 0:30:51.320
<v Speaker 4>in the structured node space. We think about what it

0:30:51.320 --> 0:30:54.640
<v Speaker 4>makes sense in the ETF wrapper, do advisors actually want it?

0:30:55.040 --> 0:30:57.680
<v Speaker 4>We speak to advisors a lot here, and advisor demand

0:30:58.200 --> 0:31:03.240
<v Speaker 4>drives the majority of our product. Looking at the numbers, David,

0:31:03.360 --> 0:31:06.560
<v Speaker 4>So around three hundred and eighty billion, I think was

0:31:06.560 --> 0:31:09.480
<v Speaker 4>the number last year in annuity sales across growth and

0:31:09.520 --> 0:31:12.720
<v Speaker 4>protection hedge funds. Don't even get me started. I think

0:31:12.720 --> 0:31:16.960
<v Speaker 4>there's like three trillion across the hedge fund space. Rylas,

0:31:17.160 --> 0:31:20.760
<v Speaker 4>which are more of an index linked annuity type product,

0:31:21.360 --> 0:31:25.160
<v Speaker 4>those sold about fifty billion last year and they're growing too.

0:31:25.680 --> 0:31:28.400
<v Speaker 4>This year. I think the expectations are that those numbers

0:31:28.400 --> 0:31:31.440
<v Speaker 4>are going to be twenty to thirty percent higher than

0:31:31.440 --> 0:31:34.040
<v Speaker 4>they were in twenty twenty three. So what does that

0:31:34.040 --> 0:31:36.200
<v Speaker 4>tell me? That tells me that if the structured note

0:31:36.200 --> 0:31:39.040
<v Speaker 4>world is still selling like hotcakes, we think we have

0:31:39.080 --> 0:31:41.960
<v Speaker 4>a better mouse trap that's more transparent, scalable, better for

0:31:42.040 --> 0:31:46.560
<v Speaker 4>advisors and institutional practices at Innovator. So you know, the

0:31:46.600 --> 0:31:49.280
<v Speaker 4>space is at fifty billion right now. I can you

0:31:49.280 --> 0:31:51.400
<v Speaker 4>could add a zero, I think to that AUM in

0:31:51.440 --> 0:31:53.600
<v Speaker 4>the next five to ten years. If we get to

0:31:53.600 --> 0:31:55.080
<v Speaker 4>the place that we want to be in terms of

0:31:55.120 --> 0:31:58.120
<v Speaker 4>investor education and delivering on what we're supposed to.

0:31:58.440 --> 0:32:00.960
<v Speaker 1>Well, this is great. Burke, thank you so much for

0:32:01.040 --> 0:32:01.760
<v Speaker 1>joining us today.

0:32:01.920 --> 0:32:04.160
<v Speaker 4>It was a pleasure. Guys, thanks for having me and James.

0:32:04.200 --> 0:32:05.680
<v Speaker 1>Thank you for being my co host.

0:32:06.040 --> 0:32:07.560
<v Speaker 2>Yeah, happy to do it. This is fun. I love

0:32:07.600 --> 0:32:08.160
<v Speaker 2>talking about this.

0:32:08.080 --> 0:32:11.760
<v Speaker 1>Stuff until our next episode. This is David Cohne with

0:32:11.880 --> 0:32:12.640
<v Speaker 1>Inside Active