WEBVTT - Easterly’s Holzer on Asymmetric Return Patterns

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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 Seifert, ETF, analyst with

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<v Speaker 1>Bloomberg Intelligence. James, thank you for joining me today.

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<v Speaker 2>Yeah, thanks for having me. David, happy to be back.

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<v Speaker 2>It's always fun to do these.

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<v Speaker 1>Things, definitely. So we're today we're going to be talking

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<v Speaker 1>about a hedge equity strategy, which you know, kind of

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<v Speaker 1>reminds me of, you know, the popularity that's happening right

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<v Speaker 1>now with buffer ETFs, options over lay ETFs. What have

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<v Speaker 1>the flows been like to those products so far this year?

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<v Speaker 2>I mean, if you are looking at those buffer defined

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<v Speaker 2>outcome ETFs as we call them, the options overlay ets

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<v Speaker 2>where you're getting income or protection of some sort, they

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<v Speaker 2>are arguably one of the hottest categories in ETFs in

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<v Speaker 2>the US as far as a percentage growth basis. I mean,

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<v Speaker 2>they're not taking in as much money as a standard

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<v Speaker 2>standalone s A P five hundred type product, but if

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<v Speaker 2>you're looking at it on a percentage growth basis, I mean,

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<v Speaker 2>it is some serious it's a serious category. And when

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<v Speaker 2>you combine the two of them, I mean, right now,

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<v Speaker 2>in the US alone, you're looking at for those defined

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<v Speaker 2>outcome ETFs, eighty seventy billion dollars in ETF, so only

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<v Speaker 2>on equity. There's some in other areas. And then if

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<v Speaker 2>you again, if you're looking at options overlay, again only

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<v Speaker 2>in equity, that's almost one hundred and ten billion dollar category,

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<v Speaker 2>which granted it's not a trillion dollar category, but it's big.

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<v Speaker 2>And the main thing I want to point out is

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<v Speaker 2>it's growing quickly. So they're taking in combined three billion

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<v Speaker 2>dollars a month like clockwork, pretty much for the year

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<v Speaker 2>of twenty twenty five. So if you're an issue or

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<v Speaker 2>advisor kind of targeting the same sort of strategy, it

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<v Speaker 2>should be looking pretty good for you that you can

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<v Speaker 2>maybe pull away some of the money that's going there.

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<v Speaker 2>You know, the fish are jumping in the boat. People

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<v Speaker 2>obviously like the ideas behind these categories, so it'll see

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<v Speaker 2>how it turns out.

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<v Speaker 1>Well, there's definitely a lot of interest, which makes a

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<v Speaker 1>great segue to our guests today. I'd like to welcome

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<v Speaker 1>our name Holzer to the podcast. Our name is the

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<v Speaker 1>global macro strategist and client portfolio manager at Easterly EAB

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<v Speaker 1>and a portfolio manager on their Easterly Hedge equity strategy.

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<v Speaker 1>Our name thank you for joining us today.

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<v Speaker 3>Thanks for having me, David, and great to meet you, James.

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<v Speaker 1>So let's dive right in. What is the investment philosophy

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<v Speaker 1>behind the strategy.

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<v Speaker 3>The philosophy is very simple. What we're trying to do

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<v Speaker 3>is create an asymmetric return pattern where we get more

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<v Speaker 3>of the upside of the S and P than we

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<v Speaker 3>get of the downside of the S and P, and

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<v Speaker 3>particularly minimize drawdowns so that what you do is improve

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<v Speaker 3>sharp ratios and sortino ratios, give investors a smoother ride,

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<v Speaker 3>but actually give them a much more efficient hedge dequity

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<v Speaker 3>approach than what's available and other products.

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<v Speaker 1>Well, let's stick deeper. What is the investment management process like?

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<v Speaker 1>So how does it work in terms of how do

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<v Speaker 1>you approach this?

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<v Speaker 3>Well, at our core, our firm is a is a

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<v Speaker 3>derivatives research firm, and the work that we did showed

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<v Speaker 3>that you know many many of the down drafts that

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<v Speaker 3>occur in the market historically are in the one to

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<v Speaker 3>two standard deviation area, in other words, between two and

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<v Speaker 3>ten percent down drafts, and so we're really not trying

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<v Speaker 3>to defend the deepest, you know, fifteen twenty percent down

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<v Speaker 3>drafts in any one moment. We're trying to basically make

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<v Speaker 3>relevant protection in that one to two standard deviation area

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<v Speaker 3>and really hedge that. And then if the market continues

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<v Speaker 3>to go down, we'll roll down further and we keep

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<v Speaker 3>our trades kind of short. In other words, the structure

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<v Speaker 3>of this is usually three to five week trades, and

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<v Speaker 3>the market really goes down twenty five or thirty percent,

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<v Speaker 3>you know, in a five to ten day period. By

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<v Speaker 3>monetizing more more irregular down drafts, more occurring down drafts,

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<v Speaker 3>you're actually able to protect more relevantly rather than waiting

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<v Speaker 3>for that big down draft that often occurs only once

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<v Speaker 3>every three four five years and you pay a lot

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<v Speaker 3>for that. So our idea is to monetize to make

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<v Speaker 3>offset from lower down drafts and then reinvest at those

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<v Speaker 3>rates and get a quicker clawback. And what you find

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<v Speaker 3>is a more relevant and actually a more efficient defense mechanism,

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<v Speaker 3>a more efficient participation mechanism that gives you better sharp

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<v Speaker 3>and sortino ratios than even the underlying S and P.

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<v Speaker 2>So I'm going to jump in here real quick. Can you, like,

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<v Speaker 2>how are clients using this strategy? Are you seeing it? Like?

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<v Speaker 2>Are people using this as a core allocation? Are they

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<v Speaker 2>using it as defensive or tactical? Like? Exactly is it?

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<v Speaker 3>Like?

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<v Speaker 2>Where is it going in the portfolio?

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<v Speaker 3>I guess this is a great question, James, And you're

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<v Speaker 3>going right to the meat of the issue. And if

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<v Speaker 3>you don't mind, let me you know, kind of construct

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<v Speaker 3>what the difference and how this and how this is

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<v Speaker 3>used versus other funds, other buffer funds and kind of

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<v Speaker 3>defined risk funds are basically defending one for one down

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<v Speaker 3>drafts and participating and giving up some upside participation to

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<v Speaker 3>do that. And they're really dumbing down. They're really muting

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<v Speaker 3>volatility kind of equally on the upside and the downside.

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<v Speaker 3>And that's really the problem, I would say into the

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<v Speaker 3>Great Financial Crisis, which was we've got to figure out

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<v Speaker 3>how to give our investors a less volatile ride, because

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<v Speaker 3>the moments that they dealt with in terms of the

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<v Speaker 3>tech wreck and in terms of the Great Financial Crisis

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<v Speaker 3>were primarily not correlation expansion or beta problems. They were

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<v Speaker 3>primarily volatility issues, and that volatility scared investors. Now what

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<v Speaker 3>happened post to GFC is really interesting. The problem that

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<v Speaker 3>we see occurred post the GFC is that correlations became

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<v Speaker 3>much more unstable and David and James the real issue

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<v Speaker 3>with modern portfolio theory is that it optimizes to volatility.

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<v Speaker 3>But what we found, the kind of conundrum that investors

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<v Speaker 3>and advisors have, and we talk to advisors every day,

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<v Speaker 3>is that when you need correlations to be stable, which

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<v Speaker 3>is the assumption in modern portfolio theory, they're uniquely unstable.

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<v Speaker 3>And so your real problem from the Great Financial Crisis

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<v Speaker 3>going forward and has been seen in the last five

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<v Speaker 3>years post COVID, is that correlations across multi assets are

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<v Speaker 3>just not stable. And so, for example, fixed income has

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<v Speaker 3>been more often correlated to equities in the last four

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<v Speaker 3>or five years than uncorrelated. And so the problem that

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<v Speaker 3>you have from a portfolio management point of view is

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<v Speaker 3>not so much giving a lower volatility to the overall portfolio,

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<v Speaker 3>which is why people use the buffer funds. The traditional

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<v Speaker 3>buffer funds that defend one for one, we defend twice

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<v Speaker 3>the notional to the downside, and the reason is we're

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<v Speaker 3>trying to the correlation problem and the beta expansion problem.

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<v Speaker 3>And so by defending that downside with twice the notional

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<v Speaker 3>downside and put spreads, what we do is we squeeze

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<v Speaker 3>the beta risk to zero as the market goes down

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<v Speaker 3>into our put spreads. That's a very different problem. And

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<v Speaker 3>what we're doing is we're saying, look, your big issue

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<v Speaker 3>from a portfolio management point of view, is it across

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<v Speaker 3>even your equities alone, James, your correlations blow out much

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<v Speaker 3>more meaningfully than they used to. And part of that

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<v Speaker 3>is because inflation, because multi assets really perform differently than

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<v Speaker 3>they used to. So what I would say is, in

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<v Speaker 3>the past, you just use it as kind of an

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<v Speaker 3>additional volatility MUTER. Now with our fund, what we're seeing

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<v Speaker 3>is people are using it as a the diversification part

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<v Speaker 3>of fixed income. They're substituting that piece. So not anybody

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<v Speaker 3>in a sixty to forty model needs forty percent of

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<v Speaker 3>their portfolio for income purposes. Of that forty percent in

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<v Speaker 3>their allocation, often fifteen or twenty percent of that was

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<v Speaker 3>actually for diversification per pose. So we're a very good

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<v Speaker 3>substitute from a diversification point of view to plug in

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<v Speaker 3>in that part of the portfolio. But now more and more,

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<v Speaker 3>what we're actually seeing, after particularly eighteen, but more twenty two,

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<v Speaker 3>where you saw S and P core positions, this core

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<v Speaker 3>satellite idea and equity portfolios. What you're seeing is some

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<v Speaker 3>folks say, wait a second, if the S and P

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<v Speaker 3>went down nineteen percent in twenty twenty two, how good

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<v Speaker 3>a core position was that? Really? From a risk management

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<v Speaker 3>point of view, the fact that our fund was down

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<v Speaker 3>less than three percent, if you had had that at

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<v Speaker 3>the core. And yes, it's an active fund, and yes

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<v Speaker 3>there's a fee management fee, but on a net basis,

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<v Speaker 3>being down under three from a risk management and an

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<v Speaker 3>efficiency point of view, it becomes a very interesting core

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<v Speaker 3>equity allocation. And we're beginning to see more advisors say,

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<v Speaker 3>wait a second, can't I look at this hedge dequity

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<v Speaker 3>almost like a factor fund. Yes it's not growth or

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<v Speaker 3>value or capsize or dividend, but it's a factor of volatility.

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<v Speaker 3>And this you know, these funds manage actively the way

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<v Speaker 3>they play the volatility range, and that factor adds value

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<v Speaker 3>as an equity fund. So we're beginning to see people say, wait,

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<v Speaker 3>a second, this can be actually a core equity allocation,

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<v Speaker 3>and over the last three years it's you know, it's

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<v Speaker 3>it's outperformed, for example, equal weighted SMP with half of

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<v Speaker 3>the risk. So it's a very interesting core equity piece

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<v Speaker 3>given how well it's performed.

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<v Speaker 1>A way to partially replace traditional bonds that that section

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<v Speaker 1>of the portfolio. But now it's taking up more of

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<v Speaker 1>the equity side.

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<v Speaker 3>Would you say, yeah, I think I think the the

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<v Speaker 3>the issue for equity investors, particularly in this environment. And James,

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<v Speaker 3>you know you probably see this quite a bit with

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<v Speaker 3>the growth in some of these specialty funds, but you

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<v Speaker 3>know AI extended tech, you know, very focused renewables, energy funds.

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<v Speaker 3>You know, in the old days, there was you know,

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<v Speaker 3>years ago, there was the marijuana based funds. You're seeing investors,

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<v Speaker 3>you know, obviously you know the frontier emerging markets. You're

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<v Speaker 3>seeing investors say, look, I think where there's not perfect information,

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<v Speaker 3>I can get very high alpha in some parts of

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<v Speaker 3>my equity portfolio. But David, the problem with those allocations

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<v Speaker 3>is that you expand the potential for beta risk, for

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<v Speaker 3>beta expansion risk, and so if you want to search

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<v Speaker 3>for return and more of these younger clients. These forty

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<v Speaker 3>and fifty year old clients are looking for relevancy in

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<v Speaker 3>their equity portfolios. The problem with that as an advisor,

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<v Speaker 3>and I talk to advisors every day, is they're saying, yes,

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<v Speaker 3>I understand they want crypto, I understand they want AI.

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<v Speaker 3>But the beta risk of these funds it might look

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<v Speaker 3>like a one point four beta to the S and

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<v Speaker 3>P in quiet times, But if you get a liquidity moment,

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<v Speaker 3>or you get a big decline in the SMP, that

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<v Speaker 3>one point four or one point three beta could become

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<v Speaker 3>a two point five beta, and then what do I

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<v Speaker 3>do with my equities? They could really hurt my clients.

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<v Speaker 3>And so using a fund like ours that squeezes beta demonstrably,

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<v Speaker 3>you know, it goes from a normal forty to forty

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<v Speaker 3>two beta to towards a zero beta. In twenty eighteen,

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<v Speaker 3>we actually made money when the market was down. In

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<v Speaker 3>twenty two we squeezed that down to less than a

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<v Speaker 3>point one beta. In those kind of extreme environments. Allows

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<v Speaker 3>your equity portfolio to stretch for return with higher alpha funds.

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<v Speaker 3>But at the same time, David, in the decline moment

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<v Speaker 3>that creates a beta risk, you have that you have

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<v Speaker 3>that defensive fund in the middle that provides that balance. Yeah.

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<v Speaker 2>I know it's cliche, but like everyone's saying, it's the

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<v Speaker 2>death of the sixty forty. But the more and more

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<v Speaker 2>I talk to people that are allocators, like advisors and institutions,

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<v Speaker 2>it really is kind of gone. For the most part.

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<v Speaker 2>It's becoming more like or at least what is in

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<v Speaker 2>those sixty and forty categories has expanded. It's like sixty

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<v Speaker 2>thirty ten or seventy twenty ten where they're doing more

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<v Speaker 2>strategies like yours, like those alpha strategies are going thematic

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<v Speaker 2>investing or crypto or something along those lines. In those

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<v Speaker 2>satellite positions. Things really have changed as far as the

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<v Speaker 2>allocation side of things goes, and from my point of view,

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<v Speaker 2>it really exacerbated things in twenty twenty two, and you know,

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<v Speaker 2>your equities and your bond's went down together. I think

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<v Speaker 2>that's part of the growth we're seeing in strategies like

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<v Speaker 2>yours and buffers and overlays. So I guess my next

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<v Speaker 2>question would be, is there a tactical component to your

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<v Speaker 2>equity exposure, like are you going after low vall stocks

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<v Speaker 2>or is it just beta to the S and P

0:12:21.120 --> 0:12:23.760
<v Speaker 2>five hundred on the equity leg. Can you just talk

0:12:23.800 --> 0:12:24.640
<v Speaker 2>a little bit about that.

0:12:24.600 --> 0:12:27.360
<v Speaker 3>So we'll get into the structure. So the biggest risk

0:12:27.440 --> 0:12:31.360
<v Speaker 3>as a forty year financial professional, the biggest risks you

0:12:31.440 --> 0:12:36.640
<v Speaker 3>have in markets is really mismatches, right, It's leverage and

0:12:36.679 --> 0:12:41.960
<v Speaker 3>it's mismatches. So the mismatch issue is you don't want

0:12:42.000 --> 0:12:45.120
<v Speaker 3>to own single stocks if you're trying to reduce beta risk.

0:12:45.200 --> 0:12:49.160
<v Speaker 3>If you're trying to reduce risk, that correlations blow out.

0:12:49.240 --> 0:12:52.000
<v Speaker 3>So we own the S and P. The structure owns

0:12:52.000 --> 0:12:55.520
<v Speaker 3>the S and P through spy, and we leverage the

0:12:55.559 --> 0:12:59.720
<v Speaker 3>structure thirty percent extra exposure through a swap with Golden Sacks.

0:13:00.160 --> 0:13:03.000
<v Speaker 3>So we're in essence a one thirty thirty five, So

0:13:03.040 --> 0:13:05.640
<v Speaker 3>it's thirty percent swap with Goldman Sachs. So we get

0:13:05.679 --> 0:13:08.400
<v Speaker 3>one hundred and thirty percent exposure, which right away gives

0:13:08.400 --> 0:13:10.839
<v Speaker 3>you additional exposure to an asset that starts at the

0:13:10.840 --> 0:13:12.719
<v Speaker 3>bottom left and goes to the top right. So that's

0:13:12.760 --> 0:13:16.360
<v Speaker 3>a good thing. We then sell up to one hundred percent.

0:13:16.679 --> 0:13:19.840
<v Speaker 3>We never sell the thirty percent, any thirty percent of

0:13:19.880 --> 0:13:22.800
<v Speaker 3>that swap, any of that exposure in calls in the

0:13:22.840 --> 0:13:25.520
<v Speaker 3>two to four percent range. On a let's say a

0:13:25.520 --> 0:13:29.120
<v Speaker 3>one month trade, and we use that to finance two

0:13:29.200 --> 0:13:33.640
<v Speaker 3>hundred notional two hundred percent of our notional in putspreads

0:13:33.840 --> 0:13:36.080
<v Speaker 3>in a one to two standard deviation, which would be

0:13:36.200 --> 0:13:39.120
<v Speaker 3>two percent down to seven percent down a ninety eight

0:13:39.240 --> 0:13:43.360
<v Speaker 3>ninety three put spread. That's a one to two standard deviation. Now,

0:13:43.400 --> 0:13:45.959
<v Speaker 3>the reason we do that is basically, we want to

0:13:46.000 --> 0:13:50.920
<v Speaker 3>get exposure to where declines normally happen, and when those

0:13:50.960 --> 0:13:55.080
<v Speaker 3>declines happen, we're going to monetize excess return, right because

0:13:55.280 --> 0:13:59.040
<v Speaker 3>we're hedging two hundred percent of our notional, not two

0:13:59.120 --> 0:14:01.880
<v Speaker 3>hundred percent of the hundred not not you know, one

0:14:01.920 --> 0:14:06.080
<v Speaker 3>hundred percent. Most buffer funds are constructed on three month

0:14:06.160 --> 0:14:10.040
<v Speaker 3>trades and they only defend their notional so they don't

0:14:10.080 --> 0:14:12.040
<v Speaker 3>have leverage, so they don't get access return from the

0:14:12.120 --> 0:14:15.400
<v Speaker 3>S and P and they don't get excess return from

0:14:15.400 --> 0:14:19.480
<v Speaker 3>their hedge because they're only they're only hedging their notional amount.

0:14:19.480 --> 0:14:23.440
<v Speaker 3>They're one hundred dollars basically, so we get access return

0:14:23.520 --> 0:14:26.160
<v Speaker 3>if the market does go into our range, and as

0:14:26.160 --> 0:14:29.000
<v Speaker 3>the market recovers, we have room to rise into our

0:14:29.040 --> 0:14:32.840
<v Speaker 3>sold calls, into our short calls. That's financial structure is

0:14:32.840 --> 0:14:36.200
<v Speaker 3>in a positive income, positive data, so we don't bleed,

0:14:36.560 --> 0:14:39.480
<v Speaker 3>and that's a very important thing because many option structures

0:14:40.040 --> 0:14:43.040
<v Speaker 3>provide defense, but they bleed, so you're losing return of

0:14:43.080 --> 0:14:46.800
<v Speaker 3>the market. And because we never sell, we never short

0:14:47.000 --> 0:14:50.040
<v Speaker 3>calls on that thirty percent of the swamp, we always have.

0:14:50.480 --> 0:14:52.360
<v Speaker 3>In the worst market for us, which would be something

0:14:52.360 --> 0:14:54.920
<v Speaker 3>like twenty seventeen, where there's no volatility in the market

0:14:54.920 --> 0:14:56.760
<v Speaker 3>goes straight up, we're going to get thirty to thirty

0:14:56.760 --> 0:14:59.400
<v Speaker 3>five percent of the market with about thirty five percent

0:14:59.400 --> 0:15:02.200
<v Speaker 3>of the volatile. It's a you know, forty percent of volatility.

0:15:02.240 --> 0:15:04.840
<v Speaker 3>It's a very it's a very safe structure even in

0:15:04.920 --> 0:15:08.480
<v Speaker 3>a very low vol straight up market, but most investors

0:15:08.480 --> 0:15:10.760
<v Speaker 3>don't buy us for that environment because they have other

0:15:10.800 --> 0:15:14.160
<v Speaker 3>equity products that really work in that environment. What happens

0:15:14.240 --> 0:15:16.560
<v Speaker 3>is normally, after very low vall environments, you get a

0:15:16.600 --> 0:15:19.400
<v Speaker 3>high vowel event and we we do exceedingly well in

0:15:19.480 --> 0:15:24.760
<v Speaker 3>those events. But that structure is not is not discretionary.

0:15:25.040 --> 0:15:27.680
<v Speaker 3>It's a it's a structure, a systematic structure that we've

0:15:27.720 --> 0:15:31.800
<v Speaker 3>researched works now that the strikes of that whether it's

0:15:31.840 --> 0:15:34.440
<v Speaker 3>a three week trade or a five week trade, whether

0:15:34.480 --> 0:15:37.480
<v Speaker 3>it's a ninety eight ninety three put spread or a

0:15:37.600 --> 0:15:42.200
<v Speaker 3>ninety six you know, you know eighty five, the range

0:15:42.320 --> 0:15:45.080
<v Speaker 3>might vary a little bit based on the math of

0:15:45.120 --> 0:15:48.560
<v Speaker 3>where the options are, the volatility is, and that kind

0:15:48.600 --> 0:15:53.160
<v Speaker 3>of constructs the actual put you know puts, and the

0:15:53.560 --> 0:15:56.120
<v Speaker 3>dimensions of the trade. But the structure of the trade

0:15:56.280 --> 0:15:59.280
<v Speaker 3>is always in place and stays relevant to the market.

0:15:59.560 --> 0:16:02.480
<v Speaker 3>So if market goes up, we're following up the market,

0:16:02.560 --> 0:16:04.720
<v Speaker 3>and then if the market falls from that elevated level,

0:16:04.920 --> 0:16:08.120
<v Speaker 3>we start to defend in that range where some of

0:16:08.160 --> 0:16:11.360
<v Speaker 3>the longer traits, the three month trades can become very irrelevant.

0:16:11.400 --> 0:16:14.200
<v Speaker 3>If the market goes up, their puts may be irrelevant

0:16:14.400 --> 0:16:17.720
<v Speaker 3>to normal declines. And again if the market goes down

0:16:17.760 --> 0:16:20.720
<v Speaker 3>through their puts, they may no longer participate to the downside.

0:16:21.200 --> 0:16:23.720
<v Speaker 3>And what we do instead is we stay relevant to

0:16:23.760 --> 0:16:25.640
<v Speaker 3>the up and to the down of the market because

0:16:25.640 --> 0:16:29.800
<v Speaker 3>our trades are shorter. So that's the structural difference. It's

0:16:29.880 --> 0:16:33.560
<v Speaker 3>not so much discretionary as it is systematic based on

0:16:33.600 --> 0:16:34.680
<v Speaker 3>the math of the market.

0:16:35.680 --> 0:16:40.360
<v Speaker 2>So I guess basically like I get you're saying, the

0:16:40.400 --> 0:16:42.640
<v Speaker 2>structure is determined based on what's going on in the

0:16:42.680 --> 0:16:44.960
<v Speaker 2>market and how options are being priced, whether it's the

0:16:44.960 --> 0:16:47.320
<v Speaker 2>state of the time value to kay vega, what all

0:16:47.400 --> 0:16:49.560
<v Speaker 2>those Greek letters that go into valuing it. That's what

0:16:49.600 --> 0:16:52.240
<v Speaker 2>you're determining where things are. So do you distinguish it

0:16:52.280 --> 0:16:54.760
<v Speaker 2>all between secular and secular changes or are you just

0:16:54.880 --> 0:16:57.600
<v Speaker 2>kind of maintaining your same sort of structure no matter

0:16:57.600 --> 0:17:00.560
<v Speaker 2>what's going on in your your situation is basically determined

0:17:00.560 --> 0:17:02.360
<v Speaker 2>by what's going on in the market and how where

0:17:02.360 --> 0:17:04.240
<v Speaker 2>your hedges correct.

0:17:04.320 --> 0:17:09.960
<v Speaker 3>The structure is systematic, but the levels where it trades

0:17:10.040 --> 0:17:12.360
<v Speaker 3>depend on the math of the market. And the benefit

0:17:12.400 --> 0:17:18.480
<v Speaker 3>of that has really shown through because if you're really

0:17:18.560 --> 0:17:22.199
<v Speaker 3>fixed in your structure and your very long term you

0:17:22.240 --> 0:17:25.760
<v Speaker 3>can't adjust to the math of volatility, and you can't

0:17:25.760 --> 0:17:29.840
<v Speaker 3>adjust to the skew of the options market. And the

0:17:29.920 --> 0:17:34.000
<v Speaker 3>benefit of our structure is if skew is to the call,

0:17:34.960 --> 0:17:37.160
<v Speaker 3>you know we're able to take advantage because we don't

0:17:37.160 --> 0:17:40.520
<v Speaker 3>have to trade our trade at a particular level versus

0:17:40.600 --> 0:17:43.600
<v Speaker 3>where we are. If skew is to the call, we

0:17:43.640 --> 0:17:46.000
<v Speaker 3>can set our call, our short calls at a much

0:17:46.040 --> 0:17:48.840
<v Speaker 3>higher level, which gives us more room to participate up

0:17:49.080 --> 0:17:53.080
<v Speaker 3>so our percentage of participation will actually be better in

0:17:53.119 --> 0:17:57.239
<v Speaker 3>that environment. And if skew is to the put, you know,

0:17:57.280 --> 0:17:59.639
<v Speaker 3>then we're able to sell our put spreads a little

0:17:59.640 --> 0:18:03.480
<v Speaker 3>bit more optimally in a different fashion as well. Whereas

0:18:03.480 --> 0:18:05.719
<v Speaker 3>the structures, you know, some of the buffer funds and

0:18:05.720 --> 0:18:09.160
<v Speaker 3>some of our competitors are very stuck in a dogmatic

0:18:09.320 --> 0:18:13.800
<v Speaker 3>trade that is numerically basically structured. They can't adjust to that.

0:18:14.440 --> 0:18:17.479
<v Speaker 3>And so that's very important, particularly when you recognize that

0:18:17.520 --> 0:18:20.480
<v Speaker 3>the changes in the options market the last several years

0:18:20.520 --> 0:18:25.240
<v Speaker 3>and the really the retailization of options has given us

0:18:25.280 --> 0:18:28.879
<v Speaker 3>tremendous advantages because it's allowed us to do, I think,

0:18:28.920 --> 0:18:32.600
<v Speaker 3>to even adjust our structure more optimally then we might

0:18:32.640 --> 0:18:36.000
<v Speaker 3>have envisioned five ten years ago when the structure started.

0:18:36.040 --> 0:18:38.360
<v Speaker 3>We just passed our ten year anniversary this last month,

0:18:38.400 --> 0:18:43.119
<v Speaker 3>by the way. But when the structure was initially envisioned,

0:18:43.720 --> 0:18:46.679
<v Speaker 3>I don't think we recognized the potential for some of

0:18:46.720 --> 0:18:51.480
<v Speaker 3>these ranges. With skew and retail interest zero one two

0:18:51.560 --> 0:18:55.240
<v Speaker 3>day to expery that has you know, really increased the

0:18:55.280 --> 0:18:58.880
<v Speaker 3>liquidity and some of the ranges for the technical part

0:18:58.880 --> 0:19:01.760
<v Speaker 3>of options that that I don't think anybody expected and

0:19:01.800 --> 0:19:03.040
<v Speaker 3>it's actually helped our product.

0:19:03.240 --> 0:19:05.560
<v Speaker 1>So if we if we think about this for our

0:19:05.640 --> 0:19:10.920
<v Speaker 1>listeners that don't understand options, you know, if they're thinking

0:19:10.960 --> 0:19:14.879
<v Speaker 1>about it, how does this strategy typically behave you know,

0:19:14.960 --> 0:19:19.199
<v Speaker 1>relative to S and P five hundred during rallies versus corrections.

0:19:19.280 --> 0:19:20.800
<v Speaker 1>So if we just kind of simplify it.

0:19:21.680 --> 0:19:25.520
<v Speaker 3>So there, there's there's It's really like a light that

0:19:25.720 --> 0:19:28.359
<v Speaker 3>has the characteristics of a particle and has the characteristics

0:19:28.359 --> 0:19:33.120
<v Speaker 3>of a wave. So so the particle is the equity market, right,

0:19:33.200 --> 0:19:35.720
<v Speaker 3>so we follow the equity market. If the equity market

0:19:35.760 --> 0:19:38.199
<v Speaker 3>goes up, we have a high correlation to equities. We

0:19:38.280 --> 0:19:40.440
<v Speaker 3>have you know, for those who know you know correlation,

0:19:40.520 --> 0:19:42.320
<v Speaker 3>we have a we have a well over ninety R

0:19:42.359 --> 0:19:45.720
<v Speaker 3>squared to the equity market. So we participate well as

0:19:45.760 --> 0:19:50.760
<v Speaker 3>the market goes up. When the market goes down, if

0:19:50.760 --> 0:19:53.480
<v Speaker 3>it goes down very little, yes we go down a

0:19:53.520 --> 0:19:56.080
<v Speaker 3>little bit as well. But if the market goes down

0:19:56.200 --> 0:19:58.439
<v Speaker 3>through the one to two standard deviation area, which is

0:19:58.520 --> 0:20:00.479
<v Speaker 3>kind of in that two to seven percent area, if

0:20:00.480 --> 0:20:04.239
<v Speaker 3>it goes into that area and volatility rises, that's the

0:20:04.280 --> 0:20:07.800
<v Speaker 3>wave issue. We start to correlate to volatility and we

0:20:07.840 --> 0:20:10.960
<v Speaker 3>get a benefit from that and our puts start to

0:20:11.000 --> 0:20:14.679
<v Speaker 3>generate return. And so the idea here is we really

0:20:14.760 --> 0:20:17.520
<v Speaker 3>the factor that we're making money off of is the

0:20:17.520 --> 0:20:21.720
<v Speaker 3>cyclicality of volatility. So investors have historically been hurt by

0:20:21.760 --> 0:20:25.640
<v Speaker 3>volatile times. Some people call it volatility drag, it hurts portfolio.

0:20:25.760 --> 0:20:28.640
<v Speaker 3>Some people like to call it beta expansion. But what

0:20:28.680 --> 0:20:32.240
<v Speaker 3>we do is we participate with equities on the in

0:20:32.359 --> 0:20:36.200
<v Speaker 3>normal markets and in upward rising markets. But if there

0:20:36.280 --> 0:20:40.600
<v Speaker 3>is any kind of cyclicality to volatility or a volatility rises,

0:20:41.080 --> 0:20:44.640
<v Speaker 3>that gives us a second form of compensation, and we're

0:20:44.680 --> 0:20:47.639
<v Speaker 3>able to take advantage of that because of the nature

0:20:47.680 --> 0:20:52.200
<v Speaker 3>of our trade, which has a tendency to buy volatility,

0:20:52.280 --> 0:20:54.240
<v Speaker 3>you know, kind of on the cheap side, and sell

0:20:54.320 --> 0:20:57.440
<v Speaker 3>volatility more on the rich side. We have a tendency

0:20:57.480 --> 0:21:01.080
<v Speaker 3>to sell equities on the you know, in the normal markets,

0:21:01.119 --> 0:21:04.040
<v Speaker 3>because we sell calls, you know, in that two to

0:21:04.080 --> 0:21:07.280
<v Speaker 3>four percent above where we are. So we sell calls

0:21:07.760 --> 0:21:10.640
<v Speaker 3>equity up on the upside, and we tend to buy

0:21:10.680 --> 0:21:14.440
<v Speaker 3>equity on the downside because as the market goes down,

0:21:14.600 --> 0:21:18.320
<v Speaker 3>our extra defense is compensating us, is monetizing us, and

0:21:18.359 --> 0:21:20.800
<v Speaker 3>we'll roll to a new structure and the excess goes

0:21:20.800 --> 0:21:23.159
<v Speaker 3>into units of the S and P. And so what

0:21:23.200 --> 0:21:25.959
<v Speaker 3>you see with a structure like this that is overdefended

0:21:26.520 --> 0:21:29.399
<v Speaker 3>is we get overcompensated for the downside, which means we

0:21:29.440 --> 0:21:31.520
<v Speaker 3>have money to buy low and when the when the

0:21:31.560 --> 0:21:35.400
<v Speaker 3>market mean reverts, and historically the market has always mean reverted, thankfully,

0:21:36.760 --> 0:21:39.520
<v Speaker 3>that means that we have a tendency to buy more

0:21:39.640 --> 0:21:43.199
<v Speaker 3>units in those lower amounts, which means we claw back fast,

0:21:43.880 --> 0:21:46.240
<v Speaker 3>which helps you overall portfolio because you have an asset

0:21:46.480 --> 0:21:49.800
<v Speaker 3>that's starting to come back sooner than the market, you know,

0:21:49.880 --> 0:21:51.120
<v Speaker 3>than other products in the market.

0:21:52.240 --> 0:21:55.600
<v Speaker 2>So you just basically said that volatility actually is pretty

0:21:55.600 --> 0:21:58.000
<v Speaker 2>good for the returns of this type of strategy. So

0:21:58.240 --> 0:22:01.919
<v Speaker 2>I guess my question would be what is the worst, Like,

0:22:01.960 --> 0:22:04.080
<v Speaker 2>what are you going to underperform the standard beta of

0:22:04.080 --> 0:22:04.720
<v Speaker 2>the market the most?

0:22:04.760 --> 0:22:05.040
<v Speaker 3>Is it?

0:22:05.080 --> 0:22:06.560
<v Speaker 2>Based on what you said, I'm going to guess it's

0:22:06.560 --> 0:22:09.320
<v Speaker 2>a low volatility regime where the market is ripping. Essentially,

0:22:09.560 --> 0:22:11.400
<v Speaker 2>that is when you're going to have the highest in performance.

0:22:11.840 --> 0:22:14.440
<v Speaker 3>Is that right? Right? So, if we think about tail

0:22:14.560 --> 0:22:17.680
<v Speaker 3>risk being kind of a one in five to seven year,

0:22:17.800 --> 0:22:19.679
<v Speaker 3>like real tail risk being a one into five to

0:22:19.760 --> 0:22:23.119
<v Speaker 3>seven year kind of event. I would say the opposite side,

0:22:23.160 --> 0:22:25.640
<v Speaker 3>you know, the right tail risk, not the left tail risk,

0:22:25.680 --> 0:22:28.000
<v Speaker 3>the right tail risk, which is the very low VALL

0:22:28.560 --> 0:22:30.880
<v Speaker 3>and you know, fifteen to twenty five percent up year

0:22:31.280 --> 0:22:33.600
<v Speaker 3>with VALL with the vis being let's say six to

0:22:33.640 --> 0:22:37.560
<v Speaker 3>eight and realizing you know, three to four. The twenty

0:22:37.680 --> 0:22:41.000
<v Speaker 3>seventeen year is a perfect example of that kind of

0:22:41.000 --> 0:22:45.040
<v Speaker 3>a tail year that it doesn't necessarily the strategy doesn't

0:22:45.040 --> 0:22:48.760
<v Speaker 3>lose money, but it's it's more that thirty to forty

0:22:48.760 --> 0:22:54.680
<v Speaker 3>percent participation in the S and P and lowish VALL,

0:22:55.240 --> 0:22:58.200
<v Speaker 3>but you don't get that very high sixty to eighty

0:22:58.200 --> 0:23:00.640
<v Speaker 3>percent of the SMP that we'd like to ex effect

0:23:00.680 --> 0:23:03.840
<v Speaker 3>with you know, forty percent of the volatility. That's that

0:23:04.040 --> 0:23:07.879
<v Speaker 3>kind of a market is unusual. But even an up

0:23:07.960 --> 0:23:11.240
<v Speaker 3>market if you get cyclicality in volatility, and we've seen

0:23:11.280 --> 0:23:13.000
<v Speaker 3>some of those the last few years where you get

0:23:13.000 --> 0:23:15.359
<v Speaker 3>a fifteen to twenty percent return but the VIX is

0:23:15.359 --> 0:23:18.000
<v Speaker 3>still at fourteen to eighteen, that kind of a year

0:23:18.480 --> 0:23:20.080
<v Speaker 3>where you have and you have a couple of little

0:23:20.119 --> 0:23:23.320
<v Speaker 3>scares is a perfectly fine year for us. It's really

0:23:23.359 --> 0:23:26.280
<v Speaker 3>the year where you get that perfect storm of no

0:23:26.480 --> 0:23:31.800
<v Speaker 3>volatility and straight upward to the to the right that

0:23:31.800 --> 0:23:34.639
<v Speaker 3>that makes us look pedestrian. In other words, will be

0:23:35.160 --> 0:23:37.240
<v Speaker 3>you know, we'll have a slight advantage over high yield

0:23:37.840 --> 0:23:40.240
<v Speaker 3>at about the same risk or maybe a little less risk,

0:23:40.640 --> 0:23:43.240
<v Speaker 3>but it won't be that fifty to seventy sixty to

0:23:43.280 --> 0:23:45.440
<v Speaker 3>eighty percent of the s and P with forty percent

0:23:45.440 --> 0:23:47.600
<v Speaker 3>of the risk kind of year, which is a home run,

0:23:48.200 --> 0:23:51.280
<v Speaker 3>you know. Thankfully, I would say sixty to seventy percent

0:23:51.320 --> 0:23:54.240
<v Speaker 3>of the time we're in our sweet spot. Maybe ten

0:23:54.240 --> 0:23:57.320
<v Speaker 3>percent of the time. It's more of that twenty seventeen

0:23:57.400 --> 0:24:00.240
<v Speaker 3>kind of year. But the good news is in those

0:24:00.320 --> 0:24:04.320
<v Speaker 3>kinds of years, James and David, everything else in your

0:24:04.320 --> 0:24:08.359
<v Speaker 3>portfolio is just on octane, high octane, and so no

0:24:08.359 --> 0:24:10.639
<v Speaker 3>one's really worried about this part of their portfolio.

0:24:11.560 --> 0:24:13.879
<v Speaker 1>So if you think of another situation, how has it

0:24:13.920 --> 0:24:18.720
<v Speaker 1>behaved in rising rate or inflationary environments where traditional fixed

0:24:18.760 --> 0:24:20.520
<v Speaker 1>income is kind of struggled.

0:24:20.080 --> 0:24:22.399
<v Speaker 3>It's a it's a it's a really good question. If

0:24:22.440 --> 0:24:27.560
<v Speaker 3>you if you look at two thousand, you know, twenty two,

0:24:27.760 --> 0:24:32.560
<v Speaker 3>for example, I was referring to it before the strategy

0:24:32.880 --> 0:24:36.760
<v Speaker 3>was down was down two point seventy five percent and

0:24:36.800 --> 0:24:40.119
<v Speaker 3>the market was down you know, close to nineteen percent

0:24:40.160 --> 0:24:41.800
<v Speaker 3>depending on how you looked at it. You know, eighteen

0:24:41.800 --> 0:24:50.159
<v Speaker 3>plus percent. That's a very significant defensive performance. And you

0:24:50.200 --> 0:24:54.240
<v Speaker 3>know that's an environment where if certain data points had

0:24:54.320 --> 0:24:56.120
<v Speaker 3>worked out a little bit better, you know, we could

0:24:56.119 --> 0:24:59.919
<v Speaker 3>have been basically flat on the year. We have a

0:25:00.160 --> 0:25:02.920
<v Speaker 3>we have clients that came through that period that came

0:25:02.960 --> 0:25:05.040
<v Speaker 3>to us and basically said, we're going to up our

0:25:05.080 --> 0:25:09.480
<v Speaker 3>allocation to you because we realize that having too much

0:25:09.600 --> 0:25:14.320
<v Speaker 3>in the core S and P category. Now, granted, you

0:25:14.359 --> 0:25:16.480
<v Speaker 3>know people were paying you know, James, I know you're

0:25:16.480 --> 0:25:18.879
<v Speaker 3>going to love this comment, but people were paying seven

0:25:18.920 --> 0:25:21.760
<v Speaker 3>basis points right for the S and P and feeling

0:25:21.760 --> 0:25:24.159
<v Speaker 3>great that you know, passive is great, and owning the

0:25:24.200 --> 0:25:26.199
<v Speaker 3>S and P is great because it's passive and that

0:25:26.240 --> 0:25:29.119
<v Speaker 3>does better than active managers. And you paid seven basis

0:25:29.119 --> 0:25:31.840
<v Speaker 3>points for the SMP, but you're down eighteen plus percent

0:25:32.960 --> 0:25:35.840
<v Speaker 3>for that seven basis points. And granted, folks pay more

0:25:36.359 --> 0:25:38.679
<v Speaker 3>to own our fund, but you know they were down

0:25:38.720 --> 0:25:41.719
<v Speaker 3>two point seventy five percent, So not many of our

0:25:41.720 --> 0:25:45.040
<v Speaker 3>clients were unhappy with owning our fund at a normal

0:25:45.080 --> 0:25:49.639
<v Speaker 3>management fee. Versus the S and P. Because the S

0:25:49.680 --> 0:25:53.840
<v Speaker 3>and P doesn't truly give you defense. Indexes are not riskless.

0:25:54.480 --> 0:25:56.720
<v Speaker 3>And I think what you're beginning to see here, because

0:25:56.760 --> 0:25:59.879
<v Speaker 3>of this beta expansion risk, and because of the tendency

0:26:00.040 --> 0:26:02.480
<v Speaker 3>for the SMP, because it's a market cap weighted index,

0:26:03.400 --> 0:26:06.879
<v Speaker 3>it has much more beta expansion risk than people understood.

0:26:06.960 --> 0:26:10.439
<v Speaker 3>If you look at the equal weighted SMP versus you know,

0:26:10.520 --> 0:26:13.199
<v Speaker 3>even versus the market cap weighted SMP, you know, the

0:26:13.240 --> 0:26:16.320
<v Speaker 3>equal way to SMP was down eleven point five basically

0:26:16.600 --> 0:26:21.720
<v Speaker 3>in twenty twenty two versus the eighteen plus in twenty

0:26:21.720 --> 0:26:25.199
<v Speaker 3>two versus R two seventy five. So there is a

0:26:25.240 --> 0:26:29.480
<v Speaker 3>fair amount of kind of hidden risk within these indices,

0:26:29.680 --> 0:26:32.680
<v Speaker 3>passive indices. And I think what you're seeing advisors, and

0:26:32.760 --> 0:26:35.480
<v Speaker 3>I talk to advisors just about every day. What you're

0:26:35.480 --> 0:26:39.800
<v Speaker 3>seeing advisors basically say, is passive is interesting visa VI

0:26:39.960 --> 0:26:44.679
<v Speaker 3>the active conversation, right, but it's not necessarily as interesting

0:26:45.040 --> 0:26:49.359
<v Speaker 3>versus the risk management versus the risk efficiency conversation. And

0:26:49.400 --> 0:26:53.439
<v Speaker 3>I think that dimension of the conversation is a really

0:26:53.480 --> 0:26:57.240
<v Speaker 3>important one. Now, the traditional buffer funds, the traditional defined

0:26:57.240 --> 0:27:01.160
<v Speaker 3>outcome funds, they don't do beta. They don't control beta expansion,

0:27:01.359 --> 0:27:03.920
<v Speaker 3>so they don't give you the same benefit in this

0:27:03.960 --> 0:27:08.280
<v Speaker 3>particular discussion. But alternatives that are able to really claw

0:27:08.320 --> 0:27:11.600
<v Speaker 3>down you really drop down your beta expansion are actually

0:27:11.680 --> 0:27:15.200
<v Speaker 3>a very interesting conversation visa VIP passive. And I think

0:27:15.280 --> 0:27:17.520
<v Speaker 3>this is a topic that I've made a lot of

0:27:17.560 --> 0:27:20.159
<v Speaker 3>headway with with with modelers. You know, I go to

0:27:20.200 --> 0:27:22.720
<v Speaker 3>see you know, institutions, I go to see you know,

0:27:23.119 --> 0:27:25.479
<v Speaker 3>distribution channels when I talk to that their modeling groups,

0:27:25.720 --> 0:27:28.520
<v Speaker 3>And this is the place where you're starting to see

0:27:28.520 --> 0:27:31.520
<v Speaker 3>some very interesting headway because you can never make headway

0:27:31.880 --> 0:27:34.720
<v Speaker 3>on the passive active discussion. There's just it's a really

0:27:34.800 --> 0:27:38.240
<v Speaker 3>hard conversation to have anybody, you know, kind of open

0:27:38.320 --> 0:27:40.600
<v Speaker 3>up their mind to. But when you talk about the

0:27:40.640 --> 0:27:45.080
<v Speaker 3>passive active conversation around risk management, that actually is one

0:27:45.280 --> 0:27:47.520
<v Speaker 3>where the door is cracking and you're beginning to see

0:27:47.520 --> 0:27:51.160
<v Speaker 3>people really, really solid people say, wait a second, this

0:27:51.240 --> 0:27:54.520
<v Speaker 3>does make a difference if you're able to bring that capability,

0:27:54.560 --> 0:27:56.359
<v Speaker 3>that characteristic into portfolios.

0:27:58.119 --> 0:28:01.000
<v Speaker 2>So let's get into something we've danced like the entire

0:28:01.040 --> 0:28:02.800
<v Speaker 2>time we've been talking here. Let's go into like a

0:28:02.800 --> 0:28:05.680
<v Speaker 2>little bit of a direct comparison to buffer or options

0:28:05.680 --> 0:28:08.159
<v Speaker 2>overlay ETFs. I mean for I don't know if the

0:28:08.200 --> 0:28:10.160
<v Speaker 2>listeners will know this, but there's like the last few

0:28:10.160 --> 0:28:13.199
<v Speaker 2>months there's been this blow up of AQR from the

0:28:13.240 --> 0:28:16.679
<v Speaker 2>likes of Clifford Assenas mainly writing papers basically attacking these

0:28:16.720 --> 0:28:20.199
<v Speaker 2>buffer products, saying they're overpriced and nothing but a marketing gimmick.

0:28:20.560 --> 0:28:22.479
<v Speaker 2>I kind of view it like there's pros and cons

0:28:22.520 --> 0:28:24.600
<v Speaker 2>to each, right, Like, I don't think it's just a

0:28:24.640 --> 0:28:26.960
<v Speaker 2>marketing gimmick. I think there's benefit for some people. They'll

0:28:27.000 --> 0:28:28.639
<v Speaker 2>be like, I know I'm going in here, and I

0:28:28.680 --> 0:28:31.760
<v Speaker 2>know exactly what my downside risk is. I know exactly

0:28:31.800 --> 0:28:34.080
<v Speaker 2>where things can go. And I think that's just like

0:28:34.200 --> 0:28:36.399
<v Speaker 2>easy for some people who don't understand finance and the

0:28:36.400 --> 0:28:39.600
<v Speaker 2>benefits of a portfolio construction to go in and know

0:28:39.640 --> 0:28:41.520
<v Speaker 2>what this is. And like, this has been a huge

0:28:41.560 --> 0:28:44.200
<v Speaker 2>area in the annuity market, right that this is structured

0:28:44.240 --> 0:28:47.200
<v Speaker 2>product is a huge thing at banks and high networth individuals.

0:28:47.640 --> 0:28:50.000
<v Speaker 2>So I guess, like, are you when you're talking to people,

0:28:50.040 --> 0:28:52.320
<v Speaker 2>are you directly competing with these types of products? How

0:28:52.320 --> 0:28:55.160
<v Speaker 2>do you compare yourself when you're trying to sell your product?

0:28:55.160 --> 0:28:55.760
<v Speaker 3>You've already said it.

0:28:55.760 --> 0:28:57.360
<v Speaker 2>You kind of move up and down with the market,

0:28:57.400 --> 0:28:59.840
<v Speaker 2>Like do you also get compared against these options over

0:29:00.200 --> 0:29:02.840
<v Speaker 2>where they're only selling calls to the upside, so you're

0:29:02.880 --> 0:29:04.480
<v Speaker 2>still subject to a lot of the downside, but you

0:29:04.480 --> 0:29:07.600
<v Speaker 2>get some income. Like how what is your main pitch

0:29:07.640 --> 0:29:09.640
<v Speaker 2>and like why you say in a succinct way, like

0:29:09.680 --> 0:29:11.960
<v Speaker 2>what is your argument? And like who do you agree with?

0:29:12.040 --> 0:29:12.200
<v Speaker 1>More?

0:29:12.240 --> 0:29:14.360
<v Speaker 2>Do you agree with the Clifford asking this QR side

0:29:14.360 --> 0:29:17.080
<v Speaker 2>of things? You do agree with the buffer? You more

0:29:17.200 --> 0:29:18.640
<v Speaker 2>like me sit in the middle of pros and cons

0:29:18.640 --> 0:29:19.160
<v Speaker 2>to each.

0:29:20.160 --> 0:29:22.200
<v Speaker 3>Well, you asked me to be succinct, and you gave

0:29:22.200 --> 0:29:24.360
<v Speaker 3>me a question that literally could be like it don't

0:29:24.360 --> 0:29:30.600
<v Speaker 3>be succinct. Yeah, thank you for the podcast format, David. Okay,

0:29:30.720 --> 0:29:32.800
<v Speaker 3>let me first say, it really matters what problem you're

0:29:32.800 --> 0:29:33.560
<v Speaker 3>trying to address.

0:29:33.960 --> 0:29:34.160
<v Speaker 1>Right.

0:29:35.080 --> 0:29:37.640
<v Speaker 3>If you're trying to address the volatility problem, which I

0:29:37.680 --> 0:29:40.640
<v Speaker 3>really view as the you know, the tech wreck and

0:29:40.680 --> 0:29:44.959
<v Speaker 3>Great financial crisis problem, which was volatility scared people, some

0:29:45.000 --> 0:29:48.800
<v Speaker 3>of those structures are very interesting. And remember modern portfolio theory,

0:29:48.880 --> 0:29:51.760
<v Speaker 3>it doesn't just have an assumption that correlations are stable.

0:29:52.280 --> 0:29:56.120
<v Speaker 3>It also makes an assumption that individual utility functions are

0:29:56.200 --> 0:30:01.040
<v Speaker 3>very similar along risk and reward. And you know, I

0:30:00.800 --> 0:30:03.800
<v Speaker 3>I'm you know, I'm an orthodox you know economists from

0:30:03.880 --> 0:30:06.320
<v Speaker 3>from from Princeton, and I love that work, and I

0:30:06.360 --> 0:30:09.320
<v Speaker 3>studied under malcol and you know, Markowitz, I think is

0:30:09.720 --> 0:30:12.800
<v Speaker 3>you know, has done wonderful work. But some of those assumptions,

0:30:12.920 --> 0:30:15.120
<v Speaker 3>you know, probably need to be tested more behaviorally, and

0:30:15.160 --> 0:30:17.680
<v Speaker 3>I think there's been some good work around that. And

0:30:17.880 --> 0:30:19.680
<v Speaker 3>you know, so the Cliff, you know, and by the way,

0:30:19.720 --> 0:30:21.480
<v Speaker 3>tremendous respect for Cliff, and I think a lot of

0:30:21.480 --> 0:30:24.200
<v Speaker 3>the things he said are legitimate because I don't think

0:30:24.240 --> 0:30:26.520
<v Speaker 3>some of the existing products are really worth what what

0:30:26.560 --> 0:30:29.760
<v Speaker 3>they They don't necessarily offer as good a performance and

0:30:29.800 --> 0:30:32.040
<v Speaker 3>they don't necessarily solve the problem as well as they should.

0:30:32.440 --> 0:30:34.480
<v Speaker 3>But but I also would say this to Cliff, and

0:30:34.520 --> 0:30:38.000
<v Speaker 3>that is that the utility function of investors is much

0:30:38.080 --> 0:30:43.040
<v Speaker 3>more variable than you know, these conservative, moderate and aggressive

0:30:43.080 --> 0:30:45.120
<v Speaker 3>models or you know, depending on you use three or

0:30:45.200 --> 0:30:47.720
<v Speaker 3>use five. You know, it's very hard. Advisors have the

0:30:47.720 --> 0:30:49.800
<v Speaker 3>toughest job in finance, and they have to try to

0:30:49.800 --> 0:30:55.880
<v Speaker 3>fit individual client asset liability and and and behavioral tendencies

0:30:56.240 --> 0:30:59.560
<v Speaker 3>into these these models. And so what some of these

0:30:59.600 --> 0:31:04.400
<v Speaker 3>buffers and defined models have done. Is really solved for

0:31:04.840 --> 0:31:07.640
<v Speaker 3>is try to at the edge, you know, at the

0:31:07.640 --> 0:31:11.320
<v Speaker 3>incremental level, try to trim some of that to meet

0:31:11.760 --> 0:31:16.440
<v Speaker 3>individual investors' behavioral you know, kind of utility functions. And

0:31:16.480 --> 0:31:20.080
<v Speaker 3>in that regard, even though they may not be perfect,

0:31:20.680 --> 0:31:25.520
<v Speaker 3>they probably help some advisors solve for Okay, this client's

0:31:25.520 --> 0:31:28.480
<v Speaker 3>got more volatility fear than they it would be willing

0:31:28.520 --> 0:31:30.880
<v Speaker 3>to acknowledge in stress. I'm going to solve for that

0:31:30.960 --> 0:31:34.560
<v Speaker 3>problem by lowering some of the volve. Now, these products

0:31:35.160 --> 0:31:37.760
<v Speaker 3>I don't think solve the problem as elegantly as they should.

0:31:37.800 --> 0:31:39.640
<v Speaker 3>I think they're you know, they're too long a trade.

0:31:40.520 --> 0:31:43.440
<v Speaker 3>I think they're not asymmetric. They certainly don't solve the

0:31:43.440 --> 0:31:47.960
<v Speaker 3>twenty fifteen to the future problem, which is really beta expansion.

0:31:48.600 --> 0:31:51.240
<v Speaker 3>But I think that's what those funds have done, and

0:31:51.280 --> 0:31:53.160
<v Speaker 3>so to that extent, I think the cliff is a

0:31:53.200 --> 0:31:57.360
<v Speaker 3>little harsh, But to the extent that those funds, because

0:31:57.360 --> 0:32:00.840
<v Speaker 3>they're not asymmetric, because they can become irrelevant because they

0:32:00.840 --> 0:32:03.280
<v Speaker 3>don't solve the problem that is really the future problem,

0:32:03.400 --> 0:32:06.000
<v Speaker 3>which is really how do you manage and constrict beta

0:32:06.040 --> 0:32:08.680
<v Speaker 3>expansion in a world where fixed income no longer has

0:32:08.680 --> 0:32:13.520
<v Speaker 3>a bull market behind it and is negatively correlated. I

0:32:13.560 --> 0:32:17.320
<v Speaker 3>think they're anachronistic and they're really not effective. And when

0:32:17.360 --> 0:32:21.040
<v Speaker 3>we show our numbers against our competitors, it's it's very

0:32:21.120 --> 0:32:24.080
<v Speaker 3>clear that it's a better solution to be a symmetric

0:32:24.440 --> 0:32:28.239
<v Speaker 3>and squeeze downside risk. It's it's very clear. And if

0:32:28.240 --> 0:32:31.200
<v Speaker 3>you look at our upside downside capture ratios, it's very

0:32:31.240 --> 0:32:35.800
<v Speaker 3>obvious that the asymmetry makes a difference. So we can

0:32:35.840 --> 0:32:38.680
<v Speaker 3>still solve for the volatility problem, but we really solve

0:32:38.800 --> 0:32:43.520
<v Speaker 3>for this this beta expansion problem. Now, the other question

0:32:43.600 --> 0:32:47.080
<v Speaker 3>that you ask is, you know, why have these products

0:32:47.120 --> 0:32:49.560
<v Speaker 3>been so popular? Part of it is because from a

0:32:49.640 --> 0:32:54.240
<v Speaker 3>marketing point of view, they're very easy to market, compliance approves,

0:32:54.600 --> 0:33:00.200
<v Speaker 3>the very straightforward documentation. You know, they seem optically to

0:33:00.240 --> 0:33:03.680
<v Speaker 3>do what they say they're going to do, and so

0:33:03.720 --> 0:33:07.160
<v Speaker 3>they solve the problem. They scratch an itch, but they

0:33:07.200 --> 0:33:10.880
<v Speaker 3>don't necessarily give you the deep tissue massage that you

0:33:11.040 --> 0:33:17.520
<v Speaker 3>need to be resilient in that crisis situation. And that's,

0:33:17.600 --> 0:33:19.640
<v Speaker 3>you know, that's a very big difference. And I think,

0:33:19.680 --> 0:33:23.120
<v Speaker 3>and to that extent, I think if Cliff had looked

0:33:23.160 --> 0:33:25.800
<v Speaker 3>at a broader set of funds. We were not included

0:33:25.840 --> 0:33:30.000
<v Speaker 3>in his data set. But if he had included a

0:33:30.040 --> 0:33:32.680
<v Speaker 3>broader set of funds, I think he might not have

0:33:32.760 --> 0:33:36.160
<v Speaker 3>come quite so harshly down on the entire you know,

0:33:36.280 --> 0:33:40.920
<v Speaker 3>tard the whole industry. But but the main point is correct,

0:33:41.040 --> 0:33:43.760
<v Speaker 3>which is, if you're paying anything for a fund that

0:33:43.800 --> 0:33:46.960
<v Speaker 3>doesn't really solve the real problem, you're paying too much.

0:33:47.920 --> 0:33:50.480
<v Speaker 3>And and so that's you know, one of the things.

0:33:50.520 --> 0:33:54.280
<v Speaker 3>And what we try to do is really get the arias,

0:33:54.400 --> 0:33:57.760
<v Speaker 3>you know, to get advisors, you know, even small institutions

0:33:57.760 --> 0:34:00.520
<v Speaker 3>and even some institutions that we're talking to, to really

0:34:00.600 --> 0:34:05.480
<v Speaker 3>understand the portfolio risk allocation implications of having something at

0:34:05.480 --> 0:34:08.960
<v Speaker 3>the center rather than using an MPT a modern portfolio

0:34:08.960 --> 0:34:12.520
<v Speaker 3>approach looking more towards a total portfolio approach, where you

0:34:12.560 --> 0:34:16.520
<v Speaker 3>start analyzing your risk in holistic terms and not trying

0:34:16.520 --> 0:34:19.080
<v Speaker 3>to put everything into style boxes, but saying, how does

0:34:19.120 --> 0:34:22.120
<v Speaker 3>this firm add to the risk efficiency of my fund?

0:34:22.800 --> 0:34:24.719
<v Speaker 3>And when you look at that and you say, wait

0:34:24.760 --> 0:34:28.080
<v Speaker 3>a second, if this fund has better sharp and sortino

0:34:28.160 --> 0:34:31.680
<v Speaker 3>than the market, than the equity than SMP, that means

0:34:31.719 --> 0:34:35.040
<v Speaker 3>I can take that budget that lowered risk that and

0:34:35.080 --> 0:34:39.480
<v Speaker 3>I can use that efficiently somewhere else, And that concept

0:34:40.160 --> 0:34:44.640
<v Speaker 3>is very valuable of risk budgeting. We have not seen retail,

0:34:45.040 --> 0:34:47.759
<v Speaker 3>we have not seen small institutions really do that. But

0:34:47.800 --> 0:34:50.279
<v Speaker 3>I've spent some time recently with consultants and some small

0:34:50.320 --> 0:34:55.640
<v Speaker 3>institutions who really are starting to understand volatility has been

0:34:55.880 --> 0:34:58.520
<v Speaker 3>used by very big institutions for a long time to

0:34:58.640 --> 0:35:01.239
<v Speaker 3>just sell vol They just sell, I'll sell, I'll sell

0:35:01.360 --> 0:35:03.560
<v Speaker 3>all until it doesn't work, it blows up, and then

0:35:03.600 --> 0:35:05.759
<v Speaker 3>when it blows up, it's interesting to sell all again.

0:35:06.280 --> 0:35:09.520
<v Speaker 3>But because it seems like a one way trade, that's

0:35:09.560 --> 0:35:12.440
<v Speaker 3>the way everyone's used it. But very few people have

0:35:12.640 --> 0:35:16.799
<v Speaker 3>used this idea of a hedge VOWL kind of management

0:35:17.080 --> 0:35:20.880
<v Speaker 3>approach which takes advantage of vowel ranges and cyclicality evolve

0:35:21.239 --> 0:35:24.920
<v Speaker 3>almost like an equity factor. And I think that piece

0:35:25.040 --> 0:35:27.480
<v Speaker 3>because what happens with a lot of these factor funds

0:35:28.000 --> 0:35:32.080
<v Speaker 3>is they get so overused that they disintermediate the value added,

0:35:32.440 --> 0:35:35.439
<v Speaker 3>whether it's cap whether it's value, whether it's growth, whether

0:35:35.480 --> 0:35:39.840
<v Speaker 3>it's small or low vowel funds or dividends. Those factors

0:35:40.120 --> 0:35:42.680
<v Speaker 3>start out with a certain ir but when more and

0:35:42.680 --> 0:35:46.720
<v Speaker 3>more people pile in, they lose their value. What's interesting

0:35:46.760 --> 0:35:50.040
<v Speaker 3>about volatility This has been this issue has existed for years,

0:35:50.560 --> 0:35:53.879
<v Speaker 3>but very few people have really piled in. In fact,

0:35:53.960 --> 0:35:56.200
<v Speaker 3>I think most people have not used volatility correctly. I

0:35:56.200 --> 0:35:58.959
<v Speaker 3>think we use it correctly. And I think that opportunity

0:35:59.200 --> 0:36:04.080
<v Speaker 3>as an equity care characteristic to harvest is what differentiates us.

0:36:04.520 --> 0:36:07.359
<v Speaker 3>And and that's notably different from you know, the kind

0:36:07.400 --> 0:36:09.839
<v Speaker 3>of traditional buffer funds that you see out there.

0:36:10.480 --> 0:36:13.200
<v Speaker 1>So we're starting to run out at a time. But

0:36:13.480 --> 0:36:16.719
<v Speaker 1>since you are a global macro strategist, I would be

0:36:16.760 --> 0:36:20.600
<v Speaker 1>remiss if I didn't ask you about the markets. You know,

0:36:20.680 --> 0:36:24.360
<v Speaker 1>we've read your you know, your market overview for April

0:36:24.440 --> 0:36:26.640
<v Speaker 1>has what has changed in your view since then?

0:36:27.080 --> 0:36:32.600
<v Speaker 3>Well, you know, prior, prior to the pandemic, we would

0:36:32.640 --> 0:36:36.840
<v Speaker 3>have thought there was some room for the FED to

0:36:36.920 --> 0:36:41.239
<v Speaker 3>create some kind of easing, you know, maybe maybe even

0:36:41.280 --> 0:36:44.680
<v Speaker 3>just twenty five basic points. But obviously since you know,

0:36:44.760 --> 0:36:48.359
<v Speaker 3>Liberation Day, some of that has changed. And I think

0:36:48.400 --> 0:36:52.200
<v Speaker 3>it would be unrealistic to assume that the FED, you know,

0:36:52.239 --> 0:36:56.080
<v Speaker 3>that the FED has has an easy path here. We

0:36:56.080 --> 0:37:02.719
<v Speaker 3>we believe secularly that the inflation equilibrium has changed post pandemic.

0:37:03.160 --> 0:37:07.120
<v Speaker 3>We think that it probably means that that our star,

0:37:07.200 --> 0:37:09.120
<v Speaker 3>although no one wants to talk about it. I'm still

0:37:09.120 --> 0:37:13.360
<v Speaker 3>wondering what's gonna happen at Jackson Hole. But it seems

0:37:13.360 --> 0:37:15.560
<v Speaker 3>like we think rates are a little bit higher, will

0:37:15.600 --> 0:37:18.279
<v Speaker 3>remain a little bit higher, and that inflation will will

0:37:18.280 --> 0:37:20.160
<v Speaker 3>remain a little bit higher. And the call that you

0:37:20.200 --> 0:37:22.440
<v Speaker 3>know that Scott Besson has had to drop rates one

0:37:22.480 --> 0:37:25.319
<v Speaker 3>hundred and fifty basis points, we think that probably a

0:37:25.360 --> 0:37:28.680
<v Speaker 3>lower number is going to be realistic. I think it's

0:37:28.680 --> 0:37:31.120
<v Speaker 3>going to be a real challenge for the Fed. You know,

0:37:31.680 --> 0:37:34.800
<v Speaker 3>we have a highly unorthodox president, we have some unconventional times.

0:37:35.200 --> 0:37:37.560
<v Speaker 3>We think that the mortgage market is probably the bigger

0:37:37.600 --> 0:37:40.359
<v Speaker 3>problem that the FED needs to solve for I think

0:37:40.400 --> 0:37:42.600
<v Speaker 3>if you look at the economy, obviously there's some labor

0:37:42.640 --> 0:37:46.520
<v Speaker 3>issues that are picking up. There's still some incipient concern

0:37:46.520 --> 0:37:51.200
<v Speaker 3>about inflation with the trade tariffs. But I just don't

0:37:51.200 --> 0:37:55.120
<v Speaker 3>see the FED having the freedom to drop rates as

0:37:55.200 --> 0:37:59.120
<v Speaker 3>much as the market is expecting. I think potentially, you know,

0:37:59.160 --> 0:38:03.200
<v Speaker 3>this fourth quarter, we could see one decrease. I don't

0:38:03.239 --> 0:38:04.680
<v Speaker 3>think we're going to see as many as the market

0:38:04.719 --> 0:38:08.520
<v Speaker 3>would anticipate. But I also think that the Fed really

0:38:08.520 --> 0:38:10.920
<v Speaker 3>should be looking in terms of the balance sheet, the

0:38:10.920 --> 0:38:14.000
<v Speaker 3>mortgage side. I think the Treasury Secretary should really be

0:38:14.080 --> 0:38:18.000
<v Speaker 3>looking at, you know, the privatization of Fanny and Freddy.

0:38:18.360 --> 0:38:20.200
<v Speaker 3>I think the problem we have to solve war here

0:38:21.000 --> 0:38:24.759
<v Speaker 3>that also affects you know, inflation, is what's going on

0:38:24.800 --> 0:38:28.759
<v Speaker 3>in the housing market. And so while we're in very

0:38:28.800 --> 0:38:32.440
<v Speaker 3>unconventional times, very unorthodox times, there is a way to

0:38:32.920 --> 0:38:36.719
<v Speaker 3>thread this needle. Productivities come in relatively well. You know,

0:38:36.800 --> 0:38:39.359
<v Speaker 3>there is a potential that the tariffs could be could

0:38:39.440 --> 0:38:41.080
<v Speaker 3>end up at just a low enough rate that the

0:38:41.080 --> 0:38:45.280
<v Speaker 3>combination of companies with margins and some of the sellers

0:38:45.360 --> 0:38:47.720
<v Speaker 3>taking some of the peace and consumers still getting a piece,

0:38:48.360 --> 0:38:52.560
<v Speaker 3>that it not be so disruptive if productivity remains relatively high,

0:38:53.000 --> 0:38:55.000
<v Speaker 3>and that would probably mean rates come down, but not

0:38:55.080 --> 0:38:58.239
<v Speaker 3>as much as people are expecting. I think that means,

0:38:58.360 --> 0:39:00.200
<v Speaker 3>you know, medium terms to long term bonds are not

0:39:00.239 --> 0:39:03.239
<v Speaker 3>a great place, which witness my comments about correlations on

0:39:03.280 --> 0:39:05.400
<v Speaker 3>bonds not being a great diverse fire and why you

0:39:05.480 --> 0:39:08.440
<v Speaker 3>need these kind of alternatives that give you some beta

0:39:08.440 --> 0:39:12.560
<v Speaker 3>expansion protection. I think that that's still true, but we

0:39:12.719 --> 0:39:16.960
<v Speaker 3>need to thread this needle and volatility and implied correlation

0:39:17.040 --> 0:39:20.520
<v Speaker 3>in the market is kind of complacent, you know, just

0:39:20.560 --> 0:39:23.080
<v Speaker 3>to give you a sense, when we look at skew

0:39:23.239 --> 0:39:27.240
<v Speaker 3>in options, given where the market is near market highs,

0:39:27.600 --> 0:39:30.640
<v Speaker 3>we would expect the option skew to be pretty significantly

0:39:30.680 --> 0:39:34.719
<v Speaker 3>to the put. But in actuality it's only modestly let's

0:39:34.719 --> 0:39:37.600
<v Speaker 3>say point three point four standard deviations to the put,

0:39:37.800 --> 0:39:39.759
<v Speaker 3>I would expect it to be, you know, over one

0:39:39.800 --> 0:39:42.360
<v Speaker 3>standard deviation to the put. The reason for that is

0:39:42.360 --> 0:39:45.120
<v Speaker 3>people just frankly, are not selling their calls. It's not

0:39:45.200 --> 0:39:48.160
<v Speaker 3>that they're necessarily over you know that they're underbuying puts.

0:39:48.160 --> 0:39:51.480
<v Speaker 3>They're still buying buying puts, but they're really not selling

0:39:51.520 --> 0:39:53.600
<v Speaker 3>their calls. There's a lot of retail. When I was

0:39:53.600 --> 0:39:56.920
<v Speaker 3>talking before about their retail impact on the market, you

0:39:56.920 --> 0:40:00.800
<v Speaker 3>should see some people selling their calls, right, monetizing and

0:40:00.800 --> 0:40:04.560
<v Speaker 3>and kind of defending. So the hedging piece isn't necessarily changing,

0:40:04.719 --> 0:40:08.040
<v Speaker 3>but the speculative piece is kind of staying in place.

0:40:08.560 --> 0:40:11.120
<v Speaker 3>And so that connotes a little bit of a little

0:40:11.120 --> 0:40:13.920
<v Speaker 3>bit of you know, uh, just a little bit of apathy,

0:40:14.160 --> 0:40:18.240
<v Speaker 3>a little bit of complacency, and the implied correlation because

0:40:18.280 --> 0:40:22.560
<v Speaker 3>of these because of because of the dispersion trade, which

0:40:22.600 --> 0:40:26.080
<v Speaker 3>sells options on the S and P and buys vow

0:40:26.520 --> 0:40:30.240
<v Speaker 3>on the single stocks, is really pushing the vics down,

0:40:30.800 --> 0:40:33.080
<v Speaker 3>I think, to areas that are probably a little low

0:40:33.160 --> 0:40:35.439
<v Speaker 3>for where the macro risks and the FED risks still are.

0:40:36.000 --> 0:40:40.640
<v Speaker 3>So it's a position that I think kind of warrants. Okay,

0:40:41.160 --> 0:40:43.560
<v Speaker 3>the market can be wrong for longer than I can

0:40:43.600 --> 0:40:46.839
<v Speaker 3>be right, so you need to participate. But I think

0:40:46.920 --> 0:40:50.160
<v Speaker 3>investors should be aware that you know, there's still you know,

0:40:50.200 --> 0:40:53.759
<v Speaker 3>there's still a relatively tight thread, a tight needle that

0:40:53.800 --> 0:40:57.080
<v Speaker 3>we have to thread here, and and you know we

0:40:57.239 --> 0:40:58.520
<v Speaker 3>still have some concerns.

0:40:59.800 --> 0:41:04.600
<v Speaker 2>Alright, So last question and then we'll wrap up. You

0:41:04.719 --> 0:41:06.800
<v Speaker 2>just spoke about a whole host of things with Ward's,

0:41:06.840 --> 0:41:09.400
<v Speaker 2>the FED and the economy. So I guess, like what

0:41:09.560 --> 0:41:11.200
<v Speaker 2>is the primary risk? You see, this is going to

0:41:11.239 --> 0:41:13.600
<v Speaker 2>kind of be a two parter, like from any economic standpoint,

0:41:13.640 --> 0:41:16.280
<v Speaker 2>from the FED cutting rates, like are you most concerned

0:41:16.320 --> 0:41:19.800
<v Speaker 2>with inflation? Are you most concerned with the unemployment? Job market?

0:41:20.440 --> 0:41:22.440
<v Speaker 2>Are you work concerned with productivity? Which I guess goes

0:41:22.440 --> 0:41:23.920
<v Speaker 2>to the job market. The other thing you mentioned is

0:41:23.920 --> 0:41:26.799
<v Speaker 2>the housing market is frozen, and Trump and everyone is

0:41:26.800 --> 0:41:28.680
<v Speaker 2>talking about lowering rates. But if you look back to

0:41:28.719 --> 0:41:31.320
<v Speaker 2>the last time the FED lowered rates, the tenure actually

0:41:31.360 --> 0:41:33.759
<v Speaker 2>went up and the mortgage rates market actually went up.

0:41:33.960 --> 0:41:36.319
<v Speaker 2>So is that actually going to solve things? And then

0:41:36.440 --> 0:41:39.080
<v Speaker 2>like after that part, like of all those things, what

0:41:39.160 --> 0:41:41.120
<v Speaker 2>is the primary risk the stock market? There's a huge

0:41:41.120 --> 0:41:44.000
<v Speaker 2>talk about like the stock market is not the economy anymore.

0:41:44.000 --> 0:41:46.600
<v Speaker 2>It's kind of become disassociated in some ways. Do you

0:41:46.640 --> 0:41:48.200
<v Speaker 2>agree with that, Like, can you just talk about the

0:41:48.200 --> 0:41:50.400
<v Speaker 2>primary risk you're seeing from both an economic point of

0:41:50.480 --> 0:41:51.640
<v Speaker 2>view and a stock point of view.

0:41:51.760 --> 0:41:54.120
<v Speaker 3>I look, I think those are great questions. You know,

0:41:55.080 --> 0:42:02.399
<v Speaker 3>the American excellency is is is still in place. It's

0:42:02.480 --> 0:42:05.719
<v Speaker 3>taken a bit of a hit because of some policy uncertainty.

0:42:06.680 --> 0:42:08.440
<v Speaker 3>I think it's also taking a bit of a hit

0:42:09.200 --> 0:42:13.959
<v Speaker 3>because the fiscal the fiscal house is not in as

0:42:14.000 --> 0:42:17.719
<v Speaker 3>good as shape. The debt, you know, the the the

0:42:17.960 --> 0:42:23.080
<v Speaker 3>debt to GDB ratios do cause some concern. And part

0:42:23.080 --> 0:42:25.640
<v Speaker 3>of the reason why the US dock market has really

0:42:25.719 --> 0:42:29.480
<v Speaker 3>always been supreme basically, and it's hard for people to

0:42:29.520 --> 0:42:33.640
<v Speaker 3>understand this is that the Fed's backstop and the US

0:42:33.680 --> 0:42:39.200
<v Speaker 3>Treasury's backstop as the global financial system. You know, asset

0:42:39.239 --> 0:42:42.640
<v Speaker 3>of choice have been rock solid, and so you know,

0:42:42.680 --> 0:42:45.279
<v Speaker 3>the FED couldn't have dropped rates as much as they

0:42:45.680 --> 0:42:49.399
<v Speaker 3>have several times in our last several crises unless there

0:42:49.440 --> 0:42:53.040
<v Speaker 3>was tremendous uptake and desire to hold US treasuries. You know,

0:42:53.080 --> 0:42:55.320
<v Speaker 3>you can't drop rates like that as a central bank

0:42:55.600 --> 0:42:58.160
<v Speaker 3>if no one wants your paper, because we don't finance

0:42:58.160 --> 0:43:04.360
<v Speaker 3>ourselves completely domestically, right, So the question here really is

0:43:04.360 --> 0:43:07.959
<v Speaker 3>is you know, the US the put here, the FED

0:43:08.120 --> 0:43:11.880
<v Speaker 3>put really depends on a sound fiscal situation. Now, the

0:43:11.960 --> 0:43:14.719
<v Speaker 3>last auctions there were a couple in early August, you

0:43:14.760 --> 0:43:17.160
<v Speaker 3>know that weren't perfect, but for the most part, the bid,

0:43:17.160 --> 0:43:19.480
<v Speaker 3>the cover ratio and the amount that's been hit you know,

0:43:19.760 --> 0:43:23.560
<v Speaker 3>having to be taken by dealers has been manageable. But

0:43:24.040 --> 0:43:25.600
<v Speaker 3>you know, you don't want to get to the place

0:43:26.360 --> 0:43:28.960
<v Speaker 3>where people are concerned about your credit rating, where people

0:43:29.000 --> 0:43:31.960
<v Speaker 3>are concerned to the place where it affects the uptaking

0:43:32.000 --> 0:43:35.480
<v Speaker 3>your auctions, because if that occurs, more meaningful and we're

0:43:35.520 --> 0:43:38.160
<v Speaker 3>not at that level now. But that's the concern here

0:43:38.440 --> 0:43:43.239
<v Speaker 3>that you don't impugne policy and the importance of the

0:43:43.320 --> 0:43:46.800
<v Speaker 3>US the preeminence of the US Treasury in the auction process,

0:43:46.800 --> 0:43:50.880
<v Speaker 3>because that would in fact handcuff the FED. And so

0:43:51.360 --> 0:43:53.560
<v Speaker 3>when you see the long end, you know, kind of

0:43:53.560 --> 0:43:57.239
<v Speaker 3>steepen on some of these pieces of news, it gives

0:43:57.280 --> 0:43:59.960
<v Speaker 3>you a sense, okay, with the inflation issue. The inflation

0:44:00.280 --> 0:44:04.239
<v Speaker 3>issue is still here, and the treasury risk premium is

0:44:04.320 --> 0:44:07.520
<v Speaker 3>coming back. What we want is the treasury risk premium

0:44:07.520 --> 0:44:10.560
<v Speaker 3>to be as low as possible and not handcuffed the FED.

0:44:11.400 --> 0:44:15.000
<v Speaker 3>But there's also a natural equilibrium that productivity seems to

0:44:15.040 --> 0:44:19.480
<v Speaker 3>be high, and the natural demographic and supply chain dis

0:44:19.560 --> 0:44:22.800
<v Speaker 3>globalization issues seem to be raising the natural rate of inflation.

0:44:23.360 --> 0:44:27.840
<v Speaker 3>So all those things give you a much narrower band

0:44:28.280 --> 0:44:33.160
<v Speaker 3>of where rates can be, and pees you assume some

0:44:33.239 --> 0:44:39.200
<v Speaker 3>drop in rates here, and pees assume some improvement to earnings.

0:44:39.320 --> 0:44:45.440
<v Speaker 3>That do have a productivity dependency, and with lower educational

0:44:45.480 --> 0:44:49.160
<v Speaker 3>inputs to our productivity, more of these productivity inputs are

0:44:49.160 --> 0:44:54.160
<v Speaker 3>dependent on AI and all these software innovations. Usually this

0:44:54.239 --> 0:44:56.759
<v Speaker 3>kind of productivity takes three, four or five years to

0:44:56.840 --> 0:44:59.520
<v Speaker 3>fully be felt. We're still in the investment phase of

0:44:59.520 --> 0:45:03.120
<v Speaker 3>Productivit is that going to be seen in a quicker timeframe.

0:45:03.280 --> 0:45:06.640
<v Speaker 3>Because of the nature of the disruptive nature of AI.

0:45:07.200 --> 0:45:09.360
<v Speaker 3>I have a sense that that part of it's correct,

0:45:09.520 --> 0:45:11.520
<v Speaker 3>but I think more of it depends on interest rates

0:45:11.560 --> 0:45:14.440
<v Speaker 3>than the market may want to acknowledge, and so squaring

0:45:14.520 --> 0:45:17.880
<v Speaker 3>that circle is actually the risk. James, are we going

0:45:17.920 --> 0:45:19.200
<v Speaker 3>to be in a place where the FED is more

0:45:19.200 --> 0:45:22.359
<v Speaker 3>handcuffed than we'd like to admit. That's why I think

0:45:22.400 --> 0:45:25.359
<v Speaker 3>when you look at the vic's futures contracts, the front

0:45:25.440 --> 0:45:28.399
<v Speaker 3>end has dropped noticeably into the fifteen range. But if

0:45:28.440 --> 0:45:32.320
<v Speaker 3>you look from a month ago and you look at October, November, December,

0:45:32.560 --> 0:45:36.479
<v Speaker 3>you still see very high levels for the VIX futures curve.

0:45:36.800 --> 0:45:41.280
<v Speaker 3>And that tells me smart money understands that that threading

0:45:41.280 --> 0:45:44.839
<v Speaker 3>of that needle is not as easy as implied correlations

0:45:45.000 --> 0:45:46.879
<v Speaker 3>as the current you know, cash level of the VIX

0:45:46.920 --> 0:45:48.960
<v Speaker 3>would would would signal.

0:45:49.960 --> 0:45:52.960
<v Speaker 1>Well, this is great. Unfortunately we have to end here.

0:45:53.440 --> 0:45:56.319
<v Speaker 1>Thank you again our name for joining us. It's been

0:45:56.320 --> 0:45:58.000
<v Speaker 1>my pleasure and great meeting you, James.

0:45:58.040 --> 0:46:00.359
<v Speaker 2>Good seeing you again, David, wonderful to me was well,

0:46:00.360 --> 0:46:02.320
<v Speaker 2>our name, This was fun. That last part was my

0:46:02.360 --> 0:46:06.160
<v Speaker 2>favorite part. I think the macro topics.

0:46:06.280 --> 0:46:08.240
<v Speaker 1>And James, thank you for being my co host today.

0:46:09.000 --> 0:46:09.600
<v Speaker 2>Thanks for having me.

0:46:09.680 --> 0:46:10.680
<v Speaker 3>David and I.

0:46:10.640 --> 0:46:13.840
<v Speaker 1>Want to thank our listeners. If you liked the episode,

0:46:13.880 --> 0:46:16.960
<v Speaker 1>please subscribe and leave a review. Also, if you'd like

0:46:17.000 --> 0:46:19.759
<v Speaker 1>to see more of our research, go to bifund go

0:46:20.040 --> 0:46:23.600
<v Speaker 1>and bi Stocks Go on the terminal until our next episode.

0:46:23.680 --> 0:46:25.680
<v Speaker 1>This is David Cohne with Inside Active