WEBVTT - 2008: The ETF Retrospective

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<v Speaker 1>Welcome to Turians. I'm Joel Webber and I'm Eric Bell. Students, Eric,

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<v Speaker 1>do you happen to remember what happened about ten years ago?

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<v Speaker 1>Right now? Vaguely? Uh? You know, I was thinking, it's

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<v Speaker 1>the ten year anniversary of two thou great financial Crisis,

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<v Speaker 1>and when we were preparing for this, I actually didn't

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<v Speaker 1>have many vivid memories, less than I thought. Neither did I.

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<v Speaker 1>I actually, for me that it was I can bring

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<v Speaker 1>this back to a podcast because Planet Money did this

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<v Speaker 1>amazing episode about the financial crisis, and that I was

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<v Speaker 1>not in financial journalism yet, and that was the thing

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<v Speaker 1>that actually helped me understand what what was happening around us.

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<v Speaker 1>I was in financial journalism at the beginning of my

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<v Speaker 1>career in the late nineties, so I very much remember

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<v Speaker 1>the Clinton years. But then I went to data. You know,

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<v Speaker 1>I was working in funds, but we just had to

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<v Speaker 1>get the n A V up, the shares out the holdings.

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<v Speaker 1>Our job was much more mechanical than tied to the markets,

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<v Speaker 1>whether markets up or down, you still have to get

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<v Speaker 1>that data in there, and that was my main focus.

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<v Speaker 1>That's why most of my memories are from my own

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<v Speaker 1>account and remembering the political aspect to that crisis more

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<v Speaker 1>than you know the financial aspect. But going back surprised

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<v Speaker 1>me actually, And there's many different ways you could call

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<v Speaker 1>call it a tenure anniversary, right, but I think the

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<v Speaker 1>one that that everyone's gonna hang their hat on is

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<v Speaker 1>gonna be the Lehman Brothers bankruptcy, which pappens September. And

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<v Speaker 1>I also think that over time two thous eight becomes

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<v Speaker 1>this boogeyman that is so big you just assume the

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<v Speaker 1>whole year was this giant black hole. It cast this

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<v Speaker 1>long shadow. It still gets brought up, but when you

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<v Speaker 1>go back, there were definitely some some rough points, but

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<v Speaker 1>it was much more diverse than just this general general

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<v Speaker 1>black hole of of market. And then let's bring it

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<v Speaker 1>back to et S because that's what we're going to

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<v Speaker 1>spend the episode, talking about both what happened that year

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<v Speaker 1>and what's happened since. And you found what five or

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<v Speaker 1>so data points that we're gonna walk through. Yeah, So

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<v Speaker 1>in preparing for this, I went through I just found

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<v Speaker 1>I thought five stats that I found interesting, surprising, and

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<v Speaker 1>pointed to deeper issues within how ETFs handled and behaved

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<v Speaker 1>in two thousand eight. And because neither of us were

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<v Speaker 1>really on the front lines. Were joined by a wonderful guest,

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<v Speaker 1>Christine Harper, who is the editor of Bloomberg Markets magazine,

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<v Speaker 1>and in two thousand eight she was actually covering banking

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<v Speaker 1>for Bloomberg News, so she was literally at the front lines.

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<v Speaker 1>That's basically the world started to crumble. So she'll be

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<v Speaker 1>joining us and kind of helping us bring a different

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<v Speaker 1>perspective of what it was actually like to be watching

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<v Speaker 1>this thing in slow motion this week on Trilliance, Remembering

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<v Speaker 1>two thousand eight and what it all means. Now, Okay,

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<v Speaker 1>so Eric, you've got a stat that you want to

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<v Speaker 1>start with. Christine Harper is joining us. She's the editor

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<v Speaker 1>of Bloomberg Markets Magazine. She's also the author of a

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<v Speaker 1>book forthcoming book about Paul Volker, which we're all really

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<v Speaker 1>excited about. Eric, what's the first step. The first step

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<v Speaker 1>is e t f s took in a hundred and

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<v Speaker 1>seventy five billion dollars in flows in two thousand and eight.

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<v Speaker 1>That is a bit right. So first of all, the

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<v Speaker 1>context is I find this data shocking because the word

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<v Speaker 1>on the street, especially from active funds, is hey, all

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<v Speaker 1>you people going to passive that they're all weekends are

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<v Speaker 1>going to flip out as soon as the market gets tough,

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<v Speaker 1>and it's gonna the market will blow up even more

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<v Speaker 1>because of all these e t f s. But if

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<v Speaker 1>you look back in two thousand eight, e t F

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<v Speaker 1>took in a hundred and seventy four billion, index mutual

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<v Speaker 1>funds took in another looks like ninety billion, and active

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<v Speaker 1>mutual funds lost two hundred and fifty nine billions. So

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<v Speaker 1>if anything, it was the active mutual fund investors who

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<v Speaker 1>got um you know, scared or panicked and left, whereas

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<v Speaker 1>the e t F investors. Again, this is a net

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<v Speaker 1>number over the year. Within months, there was definitely some

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<v Speaker 1>volatility in and out of some products, but that is

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<v Speaker 1>quite a shocking number in my opinion, given that you

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<v Speaker 1>would think that e t fs are used more by

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<v Speaker 1>retail and advisors, less sophisticated investors. They trade intra day

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<v Speaker 1>and so they would be sold off in mass and

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<v Speaker 1>people running for the hills. Christine, I want to I

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<v Speaker 1>want to rewind the clock too. You were on the

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<v Speaker 1>finance team covering Goldman Morgan Stanley. How familiar were you

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<v Speaker 1>with ETFs at that point in time? So at that

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<v Speaker 1>point in time, we I knew they existed, but what

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<v Speaker 1>I'd like to say is that at that point you

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<v Speaker 1>can almost think of the run up to the financial

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<v Speaker 1>crisis as a run up in investment in a liquid products.

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<v Speaker 1>I mean, Goldman Sachs disclosed in early two thousand seven

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<v Speaker 1>that they had a hundred and eleven billion dollars of

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<v Speaker 1>assets that they defined I gotta read this phrase as

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<v Speaker 1>more difficult to fund on a secure basis during times

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<v Speaker 1>of market stress that was up, that was more than

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<v Speaker 1>double two years earlier, everybody was, you know, plunging into

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<v Speaker 1>mortgage backed securities that were put into c d O

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<v Speaker 1>s and then into c d O squares, things that

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<v Speaker 1>were almost inherently illiquid, with the assumption that they would

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<v Speaker 1>always go up in value or they could always find liquidity.

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<v Speaker 1>And they always had these you know, great acronyms of

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<v Speaker 1>nbs and c d O s. But the point was

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<v Speaker 1>they were all traded through banks that none of them

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<v Speaker 1>were on exchanges. They were very difficult to get out

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<v Speaker 1>of when people wanted to get out of. So my

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<v Speaker 1>theory is that E t F s, almost by dint

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<v Speaker 1>of the fact that they were exchanged traded funds, became

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<v Speaker 1>the one of the go to assets just purely for

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<v Speaker 1>I mean, t bills were trading trading negatively at that period.

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<v Speaker 1>People just wanted liquidity, no matter what the cost. So

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<v Speaker 1>it makes a lot of sense to me that all

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<v Speaker 1>this money that was desperately getting out of a liquid

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<v Speaker 1>credit was going into exchange traded funds. Because also another

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<v Speaker 1>thing that was happening at that point for the banks,

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<v Speaker 1>there became this vogue for reporting what did you ever

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<v Speaker 1>hear this term level three assets? Probably it rings all

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<v Speaker 1>that became very, very very important to investors during the

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<v Speaker 1>financial crisis because what it is is it's the most

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<v Speaker 1>hard to value assets on banks balance sheets, and those

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<v Speaker 1>were the ones nobody wanted, right, So exchanged anything exchange

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<v Speaker 1>traded as a level one asset, that's great. Then level

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<v Speaker 1>two are things where there's some inputs that are a

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<v Speaker 1>little bit less clear. Level three are the ones where

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<v Speaker 1>they're basically it's their own model that tells them how

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<v Speaker 1>much it's worth. And so literally investors were demanding, we

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<v Speaker 1>were sending headlines on the amount of level three assets

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<v Speaker 1>that banks had and that banks were trading on how

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<v Speaker 1>liquid they were. I'm sure those stories were getting highly

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<v Speaker 1>highly read, yes, and so any amount of any any

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<v Speaker 1>It makes sense to me that people are going into

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<v Speaker 1>exchange traded funds purely for liquidity. And the other thing

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<v Speaker 1>which we've talked about a lot, the you know c

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<v Speaker 1>d O s and if he has were part of

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<v Speaker 1>the problem was that you didn't know what you exact

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<v Speaker 1>There was no transparency, and so almost the perfect antidote

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<v Speaker 1>to that was an exchange trade exactly where you could

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<v Speaker 1>see what you're you were getting. When when Um in

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<v Speaker 1>the book I wrote nameless plug, one of the advantages

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<v Speaker 1>that I don't want to hear it again. You don't

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<v Speaker 1>even know what it is, and that's not the name

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<v Speaker 1>the institutional e t F two. Okay, all right, we're

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<v Speaker 1>friends again. Okay, all right. Um. One of the advantages

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<v Speaker 1>that I will riff off this, which was when I

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<v Speaker 1>was going through and interviewing people by advantages, is fiduciary vehicle.

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<v Speaker 1>And I think that speaks to the level one asset,

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<v Speaker 1>the fact that there's a prospectus tied to it, the

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<v Speaker 1>fact that it's a forty act fund. I do think

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<v Speaker 1>that probably give people a lot of comfort in a

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<v Speaker 1>time of derivatives, and the fact that you know it

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<v Speaker 1>trades like futures, but it is backed. Those stocks that

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<v Speaker 1>are in the e t F are with a custodian

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<v Speaker 1>physically backed probably did help that year in terms of

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<v Speaker 1>being a contrast to these other products. And there's real

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<v Speaker 1>time pricing, right, that's very transparent. Okay, Point number two,

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<v Speaker 1>this one riffs great off of the first conversation, which

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<v Speaker 1>is that each f S traded just about trillion dollars

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<v Speaker 1>worth of shares. Now that's significant for a couple of reasons.

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<v Speaker 1>First of all, it's more than the US GDP. That's

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<v Speaker 1>a lot of money exchanging hands. Second, that is by

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<v Speaker 1>and far the most et f s ever traded in

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<v Speaker 1>a year ever to this day, and they only had

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<v Speaker 1>a sixth of the assets back then. Why. Here's why,

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<v Speaker 1>and it just speaks what when the going gets tough,

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<v Speaker 1>E t f s tend to be traded more and more.

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<v Speaker 1>They sort of thrive in volatility. They are trading vehicles,

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<v Speaker 1>so when people are uncertain, that's when they tend to

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<v Speaker 1>go up. And they tend to be about of the

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<v Speaker 1>equity trading every day, but in highly volatile times they

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<v Speaker 1>can be and this has been indicated since then. Um.

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<v Speaker 1>In fact, I've frequently charted sp wise dollar volume with

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<v Speaker 1>the VIX. I mean it perfectly overlays. In other words,

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<v Speaker 1>it's almost like E t F volume is a fear gauge.

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<v Speaker 1>And part of the reason is people can use et

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<v Speaker 1>F to short there's options on them. There's all kinds

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<v Speaker 1>of ways you can use them to protect yourself, go along, speculate,

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<v Speaker 1>and ultimately their liquids so on the portfolio. If you

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<v Speaker 1>don't want to disturb your individual holdings, the E t

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<v Speaker 1>F might be the first thing you move around to

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<v Speaker 1>deal with what's happening out there. I like the idea

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<v Speaker 1>of E t F s a the fear gauge, right,

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<v Speaker 1>And we talked about that actually a little earlier in

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<v Speaker 1>the year with what happened back in February when we

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<v Speaker 1>also saw some volatility. When you look back and can

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<v Speaker 1>kind of compare the volatility at those two moments and

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<v Speaker 1>the volumes that were happening, what do you what do

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<v Speaker 1>you notice between what we saw earlier this year? How

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<v Speaker 1>do they compare? Just size? Uh, you know, early February

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<v Speaker 1>was pretty intense. Uh. The spy traded about ninety billion

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<v Speaker 1>on a couple of days. That's almost its record was

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<v Speaker 1>a hundred billion just about back in two thousand eight,

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<v Speaker 1>So it had a day or two in February where

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<v Speaker 1>almost trade as much. But you have to remember SPY

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<v Speaker 1>is much bigger than it was back then, so if

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<v Speaker 1>you adjust for the asset size two eight, you could

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<v Speaker 1>argue was two or three times more than anything that's happened,

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<v Speaker 1>since that's how mega that year was in certain days,

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<v Speaker 1>and there was even a month where SPY traded over

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<v Speaker 1>a trillion dollars into this day, that's the most it

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<v Speaker 1>ever traded in a month, which which month was that October?

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<v Speaker 1>That was the roughest month of the of the year.

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<v Speaker 1>So what what how much bigger is the et F

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<v Speaker 1>market now than it was ten years ago? Six times?

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<v Speaker 1>So now it's got three point six trillion and it

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<v Speaker 1>had about six billion back then. So that is why

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<v Speaker 1>that number, that dollar volume number, because when you make

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<v Speaker 1>a dollar volume, you adjust for the assets. So that's

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<v Speaker 1>that is an I mean, if you take six billion

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<v Speaker 1>and put into trillion, what is that that's the amount

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<v Speaker 1>of turnover that year in e t F. It's a

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<v Speaker 1>large number, way larger than normal. And Christine, can you

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<v Speaker 1>now that we know October was that that that month

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<v Speaker 1>with that volume, can you put us back in what

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<v Speaker 1>it was like then, Well, October, you're right, I mean

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<v Speaker 1>that was the most dire month. That was a month

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<v Speaker 1>where you know, so it was September every but you know,

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<v Speaker 1>Lehman got went bankrupt. Meryl was acquired by Bank of America.

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<v Speaker 1>A week later, Goldman and Morgan Stanley converted to bank

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<v Speaker 1>holding companies supervised by the FED. They also both got

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<v Speaker 1>equity injections. In Goldman's case it was from Warren Buffett

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<v Speaker 1>and uh Morgan Stanley's case it was from this Japanese bank. Um.

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<v Speaker 1>But it wasn't until October that Paulson then sent Secretary

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<v Speaker 1>of the Treasury Hank Paulson brought all the CEOs of

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<v Speaker 1>the nine biggest financial institutions at the time to Washington

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<v Speaker 1>and basically told them they were going to all get equity.

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<v Speaker 1>This was the tart the first round of the tarp,

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<v Speaker 1>and that was the point at which people started to

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<v Speaker 1>feel like, okay, there's a bottom to this. But right

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<v Speaker 1>up to that point, and that was Columbus Day. I remember,

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<v Speaker 1>it was a it was a national it was federal holiday.

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<v Speaker 1>Um so one of those convenient federal holidays where everybody

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<v Speaker 1>actually works, but yeah, exactly. The markets were open, I

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<v Speaker 1>think yeah, so um, but it was it was really unclear.

0:12:02.880 --> 0:12:05.800
<v Speaker 1>And there was also that vote in Congress I think

0:12:05.880 --> 0:12:08.839
<v Speaker 1>in early October before that when they voted down the

0:12:08.920 --> 0:12:12.319
<v Speaker 1>TARP originally, and that was I think you'll remember that

0:12:12.400 --> 0:12:14.480
<v Speaker 1>was when the market really went. That was one of

0:12:14.520 --> 0:12:17.439
<v Speaker 1>the worst days in the equities market we saw, and

0:12:17.520 --> 0:12:20.760
<v Speaker 1>then they reversed the vote. But I wouldn't be surprised

0:12:20.760 --> 0:12:22.760
<v Speaker 1>if that day when the vote on TARP, the first

0:12:22.840 --> 0:12:25.040
<v Speaker 1>vote on TARP happened, whether that wasn't the day when

0:12:25.080 --> 0:12:27.360
<v Speaker 1>you saw the biggest trading. And one thing to add

0:12:27.400 --> 0:12:29.280
<v Speaker 1>here is even though E t F s I think

0:12:29.320 --> 0:12:31.360
<v Speaker 1>got a good grade in two thousand eight were trading

0:12:31.760 --> 0:12:33.199
<v Speaker 1>and I think they did well. I just saw the

0:12:33.240 --> 0:12:35.880
<v Speaker 1>Turkey et F traded fine through all the drama. Briggs

0:12:35.880 --> 0:12:38.480
<v Speaker 1>that they did well, but they've had a couple problems.

0:12:38.520 --> 0:12:44.079
<v Speaker 1>August fifteen, that was that was some crazy days in

0:12:44.120 --> 0:12:47.400
<v Speaker 1>the market. That day, in particular, what happened was E

0:12:47.559 --> 0:12:50.040
<v Speaker 1>t F started trading at discounts. And it wasn't just

0:12:50.120 --> 0:12:52.120
<v Speaker 1>some exotic ones like X I V. There's been some

0:12:52.240 --> 0:12:54.520
<v Speaker 1>sort of exotic blow ups here and there, but this

0:12:54.720 --> 0:12:58.120
<v Speaker 1>was like Vanguard Dividend e t F, and I think

0:12:58.240 --> 0:13:00.360
<v Speaker 1>what what really is important remember here is as long

0:13:00.400 --> 0:13:04.599
<v Speaker 1>as the exchange is having pricing for the stocks and

0:13:04.720 --> 0:13:07.880
<v Speaker 1>the bond market is it available to investors, and there's

0:13:07.920 --> 0:13:10.920
<v Speaker 1>futures pricing. As long as these inputs are available to

0:13:11.000 --> 0:13:13.480
<v Speaker 1>market makers, ets will trade fine. I called that the

0:13:13.480 --> 0:13:16.360
<v Speaker 1>plumbing when the some hiccups start to emerge on August,

0:13:16.880 --> 0:13:19.680
<v Speaker 1>they had made rules from the flash crash that had limits.

0:13:19.760 --> 0:13:21.720
<v Speaker 1>So if an e t F started to trade, um,

0:13:21.920 --> 0:13:23.880
<v Speaker 1>I think it was belower above ten percent, they just

0:13:24.120 --> 0:13:26.920
<v Speaker 1>halted it. So what happens is stocks were halted, but

0:13:26.960 --> 0:13:29.120
<v Speaker 1>the e t F wasn't, and so market makers did

0:13:29.160 --> 0:13:31.120
<v Speaker 1>not know how to price what the e t F

0:13:31.280 --> 0:13:34.160
<v Speaker 1>was worth. That's the worst they've cleaned that up since then.

0:13:34.200 --> 0:13:36.280
<v Speaker 1>That's why Bragg's it did fine. But that's so I

0:13:36.320 --> 0:13:38.120
<v Speaker 1>just want to point out that e t f s

0:13:38.200 --> 0:13:40.560
<v Speaker 1>are they have a good record, but there have been

0:13:40.600 --> 0:13:44.760
<v Speaker 1>some cases. Usually it's involved if there's lack of pricing

0:13:45.200 --> 0:13:47.160
<v Speaker 1>in the underlying holdings of e t f s. That's

0:13:47.200 --> 0:13:48.640
<v Speaker 1>when you can have a problem with the e t

0:13:48.760 --> 0:13:50.880
<v Speaker 1>F trading. That's interesting because I think it was an

0:13:50.880 --> 0:13:53.880
<v Speaker 1>October two thousand night also when they halted sword sales

0:13:54.840 --> 0:13:58.120
<v Speaker 1>because the bank started complaining that their stocks were falling

0:13:58.200 --> 0:14:02.319
<v Speaker 1>to and uh and so it's interesting that e t

0:14:02.400 --> 0:14:05.000
<v Speaker 1>F survived that without any hiccups because that caused a

0:14:05.080 --> 0:14:08.079
<v Speaker 1>lot of issues. If that happens, the e t F

0:14:08.160 --> 0:14:10.800
<v Speaker 1>will trade, but it will move away from its fair value,

0:14:10.840 --> 0:14:14.000
<v Speaker 1>and sometimes that fair value is actually stale. It hasn't

0:14:14.080 --> 0:14:18.320
<v Speaker 1>taken into account like other data. Um, So the takeaway

0:14:18.360 --> 0:14:21.120
<v Speaker 1>here is that, uh, you know, they're not they are

0:14:21.280 --> 0:14:24.960
<v Speaker 1>vulnerable if in fact there's a problem with the anything

0:14:25.160 --> 0:14:35.680
<v Speaker 1>that they hold. Okay, Number three, we're gonna talk about active, right, Yeah,

0:14:35.800 --> 0:14:38.960
<v Speaker 1>because two thirds of active mutual funds underperformed the S

0:14:39.040 --> 0:14:42.200
<v Speaker 1>and P five. This was big for a couple of reasons. One,

0:14:42.240 --> 0:14:45.000
<v Speaker 1>the market was down, so you had to be really

0:14:45.080 --> 0:14:48.560
<v Speaker 1>bad to underperform it. That to me, I think left

0:14:48.600 --> 0:14:50.880
<v Speaker 1>the bad taste and a lot of investors mouths because

0:14:50.880 --> 0:14:52.760
<v Speaker 1>I think they thought, hey, look, I'm paying you this money.

0:14:53.120 --> 0:14:56.440
<v Speaker 1>Couldn't you have sidestep this at all? And you're seeing

0:14:56.640 --> 0:14:59.640
<v Speaker 1>some high profile people actually pull off, like, you know,

0:15:00.000 --> 0:15:02.720
<v Speaker 1>the biggest win of all time basically with some of

0:15:02.760 --> 0:15:06.600
<v Speaker 1>their bets. Yeah, and normally two thirds of active equity

0:15:06.640 --> 0:15:09.040
<v Speaker 1>funds will underperform the benchmark. But a lot of the

0:15:09.120 --> 0:15:12.160
<v Speaker 1>active managers will say, well, that's just because of quantitative

0:15:12.160 --> 0:15:14.480
<v Speaker 1>easing in this bull market, it's made it harder to outperform.

0:15:15.080 --> 0:15:17.920
<v Speaker 1>But this data shows that it's kind of doesn't matter

0:15:18.000 --> 0:15:20.520
<v Speaker 1>the market and the two thirds number, to me, is

0:15:20.560 --> 0:15:23.560
<v Speaker 1>really the cost issue. If you took away all their fees,

0:15:24.000 --> 0:15:26.800
<v Speaker 1>you'd have two thirds of them outperforming. So cost is

0:15:26.840 --> 0:15:28.920
<v Speaker 1>a big issue why they underperformed. But the other issue

0:15:29.000 --> 0:15:32.160
<v Speaker 1>is that active managers. I have empathy for them. If

0:15:32.160 --> 0:15:34.720
<v Speaker 1>you're an active equity fund, a lot of times you

0:15:34.960 --> 0:15:37.680
<v Speaker 1>you can't not hold these big stocks in the sp

0:15:38.360 --> 0:15:40.400
<v Speaker 1>because if you don't hold them when the market's going up,

0:15:40.680 --> 0:15:43.960
<v Speaker 1>you'll lag and get fired. So that's what's developed what's

0:15:43.960 --> 0:15:47.080
<v Speaker 1>called closet indexing. And I don't quite blame them because

0:15:47.320 --> 0:15:50.800
<v Speaker 1>advisors like something that mirrors the index, and so a

0:15:50.840 --> 0:15:52.400
<v Speaker 1>lot of them were just holding the same stock, so

0:15:52.440 --> 0:15:55.080
<v Speaker 1>there's no way they could have possibly sidestepped it when

0:15:55.120 --> 0:15:57.800
<v Speaker 1>they're holding the same thing perform and that's the conundrum

0:15:57.800 --> 0:16:01.120
<v Speaker 1>they're currently in. I mean, I'd talk of fund managers

0:16:01.120 --> 0:16:03.880
<v Speaker 1>all that year, and there was a sort of desire

0:16:04.160 --> 0:16:06.120
<v Speaker 1>on the part of a lot of them to believe

0:16:06.240 --> 0:16:09.120
<v Speaker 1>the worst was over. So you had the Barristern's collapse

0:16:09.200 --> 0:16:13.640
<v Speaker 1>in March, and then we interviewed financial stock investors who

0:16:13.680 --> 0:16:16.000
<v Speaker 1>were convinced, Okay, that's it, you know, let's get in,

0:16:16.720 --> 0:16:18.440
<v Speaker 1>and of course they got slaughtered. In the second half

0:16:18.440 --> 0:16:20.200
<v Speaker 1>of the year, the same thing. People were getting into

0:16:20.240 --> 0:16:22.760
<v Speaker 1>Fannie and Freddie convinced that there was no way it

0:16:22.800 --> 0:16:25.520
<v Speaker 1>would I mean, there were just nobody had ever seen

0:16:25.600 --> 0:16:27.600
<v Speaker 1>anything like this, so they kept jumping in trying to

0:16:27.680 --> 0:16:30.480
<v Speaker 1>catch this falling knife and getting burned by it. And

0:16:30.560 --> 0:16:33.560
<v Speaker 1>then and also I mean, I think, I think, I

0:16:33.640 --> 0:16:36.080
<v Speaker 1>think hedge funds didn't didn't prove themselves to be such

0:16:36.160 --> 0:16:39.240
<v Speaker 1>great hedges. And with a few very notable examples, and

0:16:39.440 --> 0:16:42.320
<v Speaker 1>here's one example. The worst of the big active funds

0:16:42.360 --> 0:16:46.320
<v Speaker 1>was Fidelity Magellan. It was down that year. That must

0:16:46.360 --> 0:16:54.680
<v Speaker 1>have been one of the falling knife catchers. Okay, number four.

0:16:55.560 --> 0:17:00.320
<v Speaker 1>Number four Gold showed the meaning of zero correlation. And

0:17:00.440 --> 0:17:02.760
<v Speaker 1>what I mean by that is gold is perceived as

0:17:02.760 --> 0:17:05.400
<v Speaker 1>a safe haven. Gold was up three percent that year,

0:17:05.520 --> 0:17:08.800
<v Speaker 1>so while it didn't go down, it didn't exactly offset

0:17:09.359 --> 0:17:12.920
<v Speaker 1>the losses in the SP correlated with anything correct, It's

0:17:12.960 --> 0:17:15.560
<v Speaker 1>got zero correlation, which interesting the next year when the

0:17:15.600 --> 0:17:19.199
<v Speaker 1>market rebounded, gold rebound rate with it. Well, I think

0:17:19.359 --> 0:17:22.520
<v Speaker 1>what it is correlated with is inflation fears, and so

0:17:22.720 --> 0:17:24.760
<v Speaker 1>as the central banks went in and started pumping in

0:17:24.840 --> 0:17:27.479
<v Speaker 1>liquidity late in two thousand eight early two thousand nine,

0:17:27.880 --> 0:17:30.360
<v Speaker 1>that's when you saw a lot of big investors say, oh,

0:17:30.520 --> 0:17:33.080
<v Speaker 1>this is a time to start hoarding gold and buying

0:17:33.119 --> 0:17:36.960
<v Speaker 1>real estate and preparing for you know, hyperinflation, which of

0:17:37.320 --> 0:17:40.879
<v Speaker 1>course by two thousand twelve they realized wasn't coming. And

0:17:41.000 --> 0:17:43.080
<v Speaker 1>I think that's true. Gold has a lot of currents

0:17:43.119 --> 0:17:46.080
<v Speaker 1>coming at it um. You know, there's there's emerging markets,

0:17:46.119 --> 0:17:48.680
<v Speaker 1>buyers that come in and weird you know. You I

0:17:48.920 --> 0:17:52.000
<v Speaker 1>learned to appreciate the zero correlation because it doesn't do

0:17:52.119 --> 0:17:54.440
<v Speaker 1>what anybody thinks it should do. And that's why I

0:17:54.480 --> 0:17:57.479
<v Speaker 1>think it's a decent diversifier, because it's that's special. Almost

0:17:57.520 --> 0:18:00.520
<v Speaker 1>everything is negative or positive correlation, but it's not. It's

0:18:00.560 --> 0:18:02.360
<v Speaker 1>a shaky hedge, and I think that's where it gets

0:18:02.440 --> 0:18:05.120
<v Speaker 1>miss characterized a lot. But what was a good hedge,

0:18:05.359 --> 0:18:08.240
<v Speaker 1>what really worked was long dated treasuries T l T

0:18:08.440 --> 0:18:10.399
<v Speaker 1>which is the twenty plus your treasury e t F

0:18:10.520 --> 0:18:12.600
<v Speaker 1>was up the exact same amount of the market was down,

0:18:12.680 --> 0:18:15.680
<v Speaker 1>So if you had long dated treasurys, you completely offset

0:18:16.280 --> 0:18:18.320
<v Speaker 1>your losses in the market. And the best performing e

0:18:18.359 --> 0:18:20.399
<v Speaker 1>t F that year was e d V, which is

0:18:20.440 --> 0:18:23.720
<v Speaker 1>an extended duration TRIST Treasury strips the duration on that's

0:18:23.720 --> 0:18:25.600
<v Speaker 1>like twenty seven years, so it has the highest interest

0:18:25.720 --> 0:18:29.200
<v Speaker 1>rate sensitivity possible. That was up fifty that year. And

0:18:29.280 --> 0:18:31.240
<v Speaker 1>as long as we're talking about performance, you pulled a

0:18:31.280 --> 0:18:33.240
<v Speaker 1>couple of other numbers that are sort of noteworthy to

0:18:33.400 --> 0:18:37.280
<v Speaker 1>write the VIX right. So the VIX was up and um,

0:18:37.400 --> 0:18:39.879
<v Speaker 1>their vix et p s are controversial because they always

0:18:40.480 --> 0:18:43.040
<v Speaker 1>they have role costs that can be a year. So

0:18:43.200 --> 0:18:48.960
<v Speaker 1>VXX is down since launching. However, in a crisis, that

0:18:49.240 --> 0:18:52.080
<v Speaker 1>role cost can turn into roll yield. So the VIX

0:18:52.119 --> 0:18:55.400
<v Speaker 1>Futures Index, which VXX tracks, because VXX wasn't around two,

0:18:56.040 --> 0:18:58.920
<v Speaker 1>it was up a hundred and twenty. In other words,

0:18:59.440 --> 0:19:02.480
<v Speaker 1>if you help vicks futures, enrolled them because the demand

0:19:02.560 --> 0:19:05.320
<v Speaker 1>for short term VIXED futures was so high, you actually

0:19:05.400 --> 0:19:08.320
<v Speaker 1>were buying low and selling high constantly, and you actually

0:19:08.359 --> 0:19:11.760
<v Speaker 1>made a one guy in his garage did that, Well,

0:19:11.800 --> 0:19:16.359
<v Speaker 1>that's like the black swan, right. Well, that to me,

0:19:16.440 --> 0:19:18.520
<v Speaker 1>I call that the jackpot potential. And that's why the

0:19:18.600 --> 0:19:21.840
<v Speaker 1>vix products are media proof. They've never gotten a good review.

0:19:21.880 --> 0:19:24.880
<v Speaker 1>They're like an Adam Sandler movie, like they've literally never

0:19:25.000 --> 0:19:27.240
<v Speaker 1>They always get trashed, but they see a lot of

0:19:27.320 --> 0:19:31.000
<v Speaker 1>volume because when they work, there's nothing like it um

0:19:31.240 --> 0:19:33.480
<v Speaker 1>where I like, I like when people UM give possible

0:19:33.520 --> 0:19:35.320
<v Speaker 1>black swans, I'm like, if you know it, it's not

0:19:35.440 --> 0:19:38.640
<v Speaker 1>the black swan, right, because you're being trading it, right, Yeah,

0:19:39.720 --> 0:19:44.640
<v Speaker 1>it's some unknown thing that we don't know. Okay. Number five,

0:19:45.000 --> 0:19:49.200
<v Speaker 1>the junk bond etf saw inflows of one point five billion.

0:19:49.320 --> 0:19:52.520
<v Speaker 1>I found this astonishing because h y G is the

0:19:52.520 --> 0:19:57.320
<v Speaker 1>big junk bond I don't know. In fact, what's interesting

0:19:57.400 --> 0:19:59.000
<v Speaker 1>is if you look at the h y G s

0:19:59.040 --> 0:20:03.720
<v Speaker 1>performance that year, it was okay until about October, and

0:20:03.800 --> 0:20:07.520
<v Speaker 1>then it went down thirty percent in ten weeks. I mean,

0:20:07.680 --> 0:20:09.720
<v Speaker 1>this was a blood bath. It was the It was

0:20:09.800 --> 0:20:12.200
<v Speaker 1>the reason people worry about junk bonds. This was the

0:20:12.280 --> 0:20:14.800
<v Speaker 1>kind of sell off that has people shorting junk bond

0:20:14.840 --> 0:20:17.479
<v Speaker 1>ETFs every now and then. In mass and it went

0:20:17.560 --> 0:20:19.480
<v Speaker 1>down that much, and there was a couple of days

0:20:19.480 --> 0:20:23.160
<v Speaker 1>of outflows, but mostly it saw inflows. There were buyers

0:20:23.720 --> 0:20:25.760
<v Speaker 1>apparently for the e t F at that time. I

0:20:25.800 --> 0:20:28.440
<v Speaker 1>don't remember. Again, I wasn't studying as it closely, but um,

0:20:28.640 --> 0:20:30.440
<v Speaker 1>that's when it saw its most inflows and then when

0:20:30.480 --> 0:20:32.720
<v Speaker 1>it hit that bottom boy, where the flow is really

0:20:32.760 --> 0:20:35.879
<v Speaker 1>coming in. So clearly there are these vulture type buyers

0:20:35.960 --> 0:20:38.639
<v Speaker 1>out there, which should give some comfort because h y

0:20:38.720 --> 0:20:40.280
<v Speaker 1>G to me is the canary in the coal mine

0:20:40.600 --> 0:20:42.760
<v Speaker 1>in terms of people worrying about the et F structure

0:20:43.119 --> 0:20:44.920
<v Speaker 1>because they're like, well, yeah, sure to can do equities,

0:20:44.960 --> 0:20:46.639
<v Speaker 1>but junk bond you can't really wrap that up. I

0:20:46.680 --> 0:20:48.720
<v Speaker 1>mean Carl Icon and Howard Marks had both come out

0:20:48.720 --> 0:20:50.720
<v Speaker 1>and said you cannot have a liquid instrument tracking something

0:20:50.760 --> 0:20:53.159
<v Speaker 1>in liquid. And it was a rough year. There was

0:20:53.200 --> 0:20:57.480
<v Speaker 1>premium discounts of eight percent, but it it survived, It

0:20:57.600 --> 0:21:00.840
<v Speaker 1>saw inflows, and then after that it's obviously built its

0:21:00.880 --> 0:21:03.760
<v Speaker 1>fan base. Was it relatively small at that stage? Yes,

0:21:04.240 --> 0:21:06.000
<v Speaker 1>I will say the small is a double edged sword,

0:21:06.040 --> 0:21:08.280
<v Speaker 1>because yes it was. And that's a great point you

0:21:08.320 --> 0:21:10.840
<v Speaker 1>bring up, because I will say that prims and discounts

0:21:10.840 --> 0:21:13.200
<v Speaker 1>and h YG have shrunk so much over the past

0:21:13.280 --> 0:21:15.159
<v Speaker 1>ten years because more and more market makers make a

0:21:15.240 --> 0:21:19.560
<v Speaker 1>market in it. However, h y G has vampired away

0:21:19.640 --> 0:21:22.040
<v Speaker 1>some of the liquidity from the high yield market. And

0:21:22.160 --> 0:21:24.000
<v Speaker 1>this is my big worry about et f s is

0:21:24.040 --> 0:21:26.840
<v Speaker 1>not the asset growing, it's the vampire of liquidity. Because

0:21:26.840 --> 0:21:29.040
<v Speaker 1>if more and more people just get lazy and say

0:21:29.040 --> 0:21:31.040
<v Speaker 1>I'm just going to trade h y G instead of

0:21:31.119 --> 0:21:35.320
<v Speaker 1>trading high yield debt myself because it's easier, that does

0:21:35.400 --> 0:21:37.240
<v Speaker 1>steal some of the liquidity. So we have a stat

0:21:37.280 --> 0:21:39.200
<v Speaker 1>that says h y G is still only two percent

0:21:39.280 --> 0:21:41.639
<v Speaker 1>ownership of all the junk bonds, but it accounts for

0:21:42.359 --> 0:21:44.320
<v Speaker 1>of all high yield debt trading today and it was

0:21:44.359 --> 0:21:47.280
<v Speaker 1>nowhere near those numbers back then. So on one hand,

0:21:47.320 --> 0:21:49.400
<v Speaker 1>there's more market makers watching it, which you could argue

0:21:49.480 --> 0:21:51.359
<v Speaker 1>is good, but another hand, it's way bigger part of

0:21:51.359 --> 0:21:54.520
<v Speaker 1>the market, which means there's probably arguably less liquidity in

0:21:54.520 --> 0:21:56.760
<v Speaker 1>the junk bonds. And this gets back to something I

0:21:56.800 --> 0:22:00.280
<v Speaker 1>think Christine can talk about, which is complacency that now,

0:22:00.320 --> 0:22:03.240
<v Speaker 1>I mean, you know, when everything's going up, as we've

0:22:03.280 --> 0:22:07.320
<v Speaker 1>just described, all of these products and everything going up

0:22:07.400 --> 0:22:11.040
<v Speaker 1>for the longest period. So everything was terrific in two

0:22:11.119 --> 0:22:14.879
<v Speaker 1>thousand and seven when all of the subprime c dos

0:22:14.920 --> 0:22:18.200
<v Speaker 1>seem to be performing and people weren't so worried, So

0:22:18.320 --> 0:22:20.520
<v Speaker 1>that's why people were loading up on them. But as

0:22:20.560 --> 0:22:23.800
<v Speaker 1>soon as it turns around, people were completely shocked at

0:22:23.840 --> 0:22:26.880
<v Speaker 1>how a liquid and how you know, little they understood

0:22:26.920 --> 0:22:30.920
<v Speaker 1>these products. And the fear I think is that E

0:22:31.040 --> 0:22:33.960
<v Speaker 1>t F have become such a part of the furniture

0:22:34.040 --> 0:22:36.480
<v Speaker 1>now people just assume they're always going to work. There's

0:22:36.560 --> 0:22:39.159
<v Speaker 1>no example of them failing in a big way, and

0:22:39.280 --> 0:22:42.280
<v Speaker 1>so people get complacent about that. And and yet the

0:22:42.359 --> 0:22:45.040
<v Speaker 1>market is morphing in really important ways, as you've been describing,

0:22:45.080 --> 0:22:48.080
<v Speaker 1>and so that could mean the whole landscape is extremely

0:22:48.119 --> 0:22:51.199
<v Speaker 1>different if and when as a classes fall, especially if

0:22:51.240 --> 0:22:53.639
<v Speaker 1>they've fallen some kind of correlated way. Yeah, and I

0:22:53.760 --> 0:22:56.200
<v Speaker 1>think E t F s right now, Um, they own

0:22:56.280 --> 0:22:59.000
<v Speaker 1>about eight percent of stocks, but the account for about

0:22:59.040 --> 0:23:03.040
<v Speaker 1>like I said, twenty five, the trading in a crisis,

0:23:03.320 --> 0:23:05.840
<v Speaker 1>as long as the stocks are trading, somebody can rbin.

0:23:05.880 --> 0:23:08.359
<v Speaker 1>The E t F investor will have a market. But

0:23:08.440 --> 0:23:11.520
<v Speaker 1>if there are no buyers for junk bonds for that time,

0:23:11.640 --> 0:23:14.159
<v Speaker 1>there's probably going to be a huge discount that uh

0:23:15.240 --> 0:23:17.080
<v Speaker 1>happens in H Y G or whatever E t F

0:23:17.119 --> 0:23:20.000
<v Speaker 1>it is. So I always tell people, ask yourself this question.

0:23:20.680 --> 0:23:22.560
<v Speaker 1>You have three choices. You can use the E t F,

0:23:22.920 --> 0:23:25.639
<v Speaker 1>you can use the active mutual fund, but that manager

0:23:25.640 --> 0:23:27.199
<v Speaker 1>will have to try to sell those securities the end

0:23:27.200 --> 0:23:30.080
<v Speaker 1>of the day anyway if you redeem. And the third

0:23:30.160 --> 0:23:32.960
<v Speaker 1>thing is do it yourself. So on a really hurricane

0:23:33.040 --> 0:23:35.840
<v Speaker 1>type day when the big one hits, which would you

0:23:36.000 --> 0:23:38.239
<v Speaker 1>rather try to sell? Because none of them are going

0:23:38.280 --> 0:23:40.440
<v Speaker 1>to be great, and so you sort of have to

0:23:40.520 --> 0:23:43.159
<v Speaker 1>just decide from there. And if you pick the E

0:23:43.280 --> 0:23:46.600
<v Speaker 1>t F knowing like all of that, it's good. But

0:23:46.640 --> 0:23:48.000
<v Speaker 1>if you go into the E t F thinking it

0:23:48.080 --> 0:23:51.840
<v Speaker 1>is utopia because it has traded so perfectly, I do

0:23:52.000 --> 0:23:55.440
<v Speaker 1>think you'll be disappointment disappointments because you went in there

0:23:55.520 --> 0:23:59.240
<v Speaker 1>thinking it's like this perfect magical vehicle, but in effect

0:23:59.320 --> 0:24:02.000
<v Speaker 1>it's not. So I also want to talk about a

0:24:02.080 --> 0:24:07.359
<v Speaker 1>few people who who doubled down in the midst of

0:24:07.400 --> 0:24:09.920
<v Speaker 1>all of this. Can we talk about that? Sure? Because

0:24:10.560 --> 0:24:14.040
<v Speaker 1>Vanguard in particular, what what happened when you looked at

0:24:14.080 --> 0:24:18.360
<v Speaker 1>those investors. This is this is unbelievable numbers. I was shocked.

0:24:19.160 --> 0:24:21.480
<v Speaker 1>Um Again, I looked this up because on Twitter, a

0:24:21.560 --> 0:24:24.239
<v Speaker 1>lot of people will say, oh, wait, till the big

0:24:24.320 --> 0:24:26.920
<v Speaker 1>one hits these passive investors, they're going to lose their marbles.

0:24:27.440 --> 0:24:30.240
<v Speaker 1>So I go back to Vanguard. Vanguard took in money

0:24:30.320 --> 0:24:34.520
<v Speaker 1>every month, including October. They took in ninety billion dollars

0:24:34.560 --> 0:24:37.359
<v Speaker 1>that year. The rest of the industry combine lost I

0:24:37.400 --> 0:24:40.119
<v Speaker 1>think about a hundred billion. It's in these times of

0:24:40.200 --> 0:24:44.280
<v Speaker 1>crisis that Vanguard UM sees their absolute flows go down

0:24:44.320 --> 0:24:46.440
<v Speaker 1>a little bit, but they increased their market share. That's

0:24:46.440 --> 0:24:48.399
<v Speaker 1>when they gobble up a little market share against the

0:24:48.720 --> 0:24:53.600
<v Speaker 1>other competitors. But I was stunned. This is navy seals

0:24:53.920 --> 0:24:56.800
<v Speaker 1>like disciplined if you're actually putting in money. In two

0:24:56.840 --> 0:25:03.199
<v Speaker 1>thousand eight October, Vanguard at acts really like hardcore discipline

0:25:03.320 --> 0:25:06.400
<v Speaker 1>bogel head type investors. Now, some people say since then

0:25:06.800 --> 0:25:10.119
<v Speaker 1>they've attracted more common folk who aren't like bogel heads,

0:25:10.520 --> 0:25:12.240
<v Speaker 1>and we'll we'll see if that plays out. But I

0:25:12.320 --> 0:25:14.760
<v Speaker 1>have seen these mini crisis Vanguard does seem to be

0:25:14.840 --> 0:25:19.679
<v Speaker 1>stickier than most. There's one other uh two eight anecdote

0:25:19.760 --> 0:25:22.080
<v Speaker 1>that I think, because we're talking about two th eight,

0:25:22.119 --> 0:25:24.280
<v Speaker 1>we have to bring up which was smart Bata was

0:25:24.359 --> 0:25:27.800
<v Speaker 1>around then, and there's a product called called PRF. And

0:25:27.840 --> 0:25:31.520
<v Speaker 1>we talked about this briefly before, but smart Beata basically

0:25:31.640 --> 0:25:36.119
<v Speaker 1>starts its process every quarter and then rebalances, and PRF

0:25:37.480 --> 0:25:39.720
<v Speaker 1>sauce up thing and took advantage of it. Do you

0:25:39.760 --> 0:25:41.959
<v Speaker 1>want to describe what happened? Yes, So in the industry

0:25:42.000 --> 0:25:45.840
<v Speaker 1>we call this the immaculate rebalance. That's just the best

0:25:45.920 --> 0:25:49.040
<v Speaker 1>name this is because if they don't have that on

0:25:49.119 --> 0:25:51.720
<v Speaker 1>their shirts and hand get credit to Ben Johnson at morning.

0:25:51.720 --> 0:25:53.600
<v Speaker 1>Sorry he came up with it, but it's it's actually

0:25:53.760 --> 0:25:57.159
<v Speaker 1>really fascinating. In two thousand eight, let's face it, it

0:25:57.280 --> 0:26:00.240
<v Speaker 1>was it was a tough to buy bank stocks. If

0:26:00.280 --> 0:26:02.160
<v Speaker 1>you're an active manager, you probably fired on the spot

0:26:02.240 --> 0:26:05.040
<v Speaker 1>if you went in and bought City Group, right. Well,

0:26:05.480 --> 0:26:09.320
<v Speaker 1>smart data products are just active but put into a

0:26:09.400 --> 0:26:11.960
<v Speaker 1>rules based index, so they're like robots. They have to

0:26:12.080 --> 0:26:14.400
<v Speaker 1>just screen the stocks every quarter, and if they're cheap

0:26:14.960 --> 0:26:17.120
<v Speaker 1>and they passed the screens, they have to buy them. Well,

0:26:17.160 --> 0:26:19.800
<v Speaker 1>PRF is a smart data product and it it bought

0:26:19.880 --> 0:26:22.040
<v Speaker 1>up all these bank stocks in late two thousand eight

0:26:22.080 --> 0:26:24.280
<v Speaker 1>to the point where it had fifty financials in two

0:26:26.160 --> 0:26:28.760
<v Speaker 1>As we've said before, it's like walking into the burning building. Yeah,

0:26:28.760 --> 0:26:31.920
<v Speaker 1>oh yeah, yeah, and we trace PRF in the next

0:26:32.280 --> 0:26:34.520
<v Speaker 1>I think it was like six to seven years that

0:26:34.680 --> 0:26:39.119
<v Speaker 1>one trade, that one rebalance accounted for just tons of

0:26:39.200 --> 0:26:41.720
<v Speaker 1>alpha that kept giving for years and years and years

0:26:41.760 --> 0:26:44.399
<v Speaker 1>after that. And what's interesting is the guy who runs

0:26:44.520 --> 0:26:48.879
<v Speaker 1>that index, which power Shares license had institutions using that

0:26:49.000 --> 0:26:51.760
<v Speaker 1>index in separate accounts. They called him up and said,

0:26:51.800 --> 0:26:54.040
<v Speaker 1>do not do the rebounds. We're not buying City Group,

0:26:54.080 --> 0:26:56.119
<v Speaker 1>and so he didn't, and of course the et F

0:26:56.200 --> 0:27:00.200
<v Speaker 1>outperformed the s m A and that I think it's

0:27:00.320 --> 0:27:02.879
<v Speaker 1>value to the robotic nature of smart beta. But my

0:27:03.080 --> 0:27:05.240
<v Speaker 1>colleague Ben will bring up that a lot of investors

0:27:05.280 --> 0:27:08.200
<v Speaker 1>were unable to hang in there in PRF, So the

0:27:08.560 --> 0:27:11.000
<v Speaker 1>this brings up behavior and the importance of hanging in there.

0:27:11.040 --> 0:27:12.760
<v Speaker 1>If you pick a strategy and you like it, you

0:27:12.800 --> 0:27:16.320
<v Speaker 1>gotta stick with it. I mean, what what was it?

0:27:16.520 --> 0:27:19.560
<v Speaker 1>Was there any robout buying Lehman Brothers but in sort

0:27:19.560 --> 0:27:24.760
<v Speaker 1>of July or August, I'd have to see if it checked.

0:27:24.800 --> 0:27:26.480
<v Speaker 1>That's a good question. That's a good research note. I

0:27:26.520 --> 0:27:29.520
<v Speaker 1>don't know if Lehman would have checked off momentum, but

0:27:30.000 --> 0:27:32.879
<v Speaker 1>Lehman fell right so fast that it didn't even it

0:27:32.880 --> 0:27:35.239
<v Speaker 1>would have been a quarter because these things usually look

0:27:35.280 --> 0:27:38.399
<v Speaker 1>over quarters or semi annually. It wouldn't have become a

0:27:38.480 --> 0:27:40.960
<v Speaker 1>value stock for long, right, Like it didn't. We didn't

0:27:41.040 --> 0:27:43.000
<v Speaker 1>hang it like a low p for a long time,

0:27:43.200 --> 0:27:45.680
<v Speaker 1>depending on when the robot resets, right, But it's possible.

0:27:45.720 --> 0:27:47.320
<v Speaker 1>But I just did recall seeing some of the bigger

0:27:47.320 --> 0:27:50.879
<v Speaker 1>banks in there that have gone yeah, yeah, yeah, I

0:27:50.960 --> 0:27:53.639
<v Speaker 1>remember distinctly going for drinks with somebody who was a

0:27:54.160 --> 0:27:57.840
<v Speaker 1>consultant and he was he was bragging to me about

0:27:57.840 --> 0:27:59.760
<v Speaker 1>how he just loaded up in Fannie and Freddie because

0:27:59.760 --> 0:28:02.119
<v Speaker 1>it was so low. I couldn't go any lower, you know,

0:28:03.600 --> 0:28:07.960
<v Speaker 1>very very badly. You know, this idea of buying stuff cheap,

0:28:08.080 --> 0:28:11.200
<v Speaker 1>it's it is really tempting. We see this all the

0:28:11.320 --> 0:28:15.320
<v Speaker 1>time with with stocks. And my wife actually like she

0:28:15.400 --> 0:28:18.080
<v Speaker 1>wants to buy J. C. Penny and she's just she's

0:28:18.080 --> 0:28:20.600
<v Speaker 1>like a natural value investor and I understand that, but

0:28:21.320 --> 0:28:27.320
<v Speaker 1>you know, it can go lower the floor there's a

0:28:27.359 --> 0:28:30.200
<v Speaker 1>trap door, but I mean there were yeah, I mean there,

0:28:30.480 --> 0:28:32.000
<v Speaker 1>I think one of the you know, several of the

0:28:32.040 --> 0:28:35.639
<v Speaker 1>hedge fund managers sort of made their names also for

0:28:35.880 --> 0:28:39.000
<v Speaker 1>recognizing that some of these banks, for instance, we're not

0:28:39.160 --> 0:28:41.560
<v Speaker 1>going to be allowed to fail, right, and so City

0:28:41.600 --> 0:28:44.200
<v Speaker 1>Group was a good investment because there was no way

0:28:44.320 --> 0:28:46.720
<v Speaker 1>the government was going to let it fail. Christine, can

0:28:46.800 --> 0:28:48.520
<v Speaker 1>we bring it back and you can help us maybe

0:28:48.560 --> 0:28:51.240
<v Speaker 1>put a bow on all of this. You were on

0:28:51.280 --> 0:28:54.880
<v Speaker 1>the front lines. You've seen how everything's evolved for ten years.

0:28:54.920 --> 0:28:58.120
<v Speaker 1>You've seen Eric stats. Now can you help us make

0:28:58.160 --> 0:29:00.640
<v Speaker 1>sense of this? What what's the takeaway that you get

0:29:00.800 --> 0:29:03.120
<v Speaker 1>from this conversation that we thought? Well, for me one

0:29:03.160 --> 0:29:06.160
<v Speaker 1>of the biggest lessons of the financial crisis. Having been

0:29:06.280 --> 0:29:11.120
<v Speaker 1>a reporter covering financial companies at that point for maybe

0:29:12.000 --> 0:29:15.360
<v Speaker 1>five six years, I was pretty convinced that these people

0:29:15.400 --> 0:29:17.840
<v Speaker 1>all knew what they were doing. They're they're very smart,

0:29:17.920 --> 0:29:23.800
<v Speaker 1>they're highly sophisticated, very numerous, very data driven, and I

0:29:24.080 --> 0:29:28.400
<v Speaker 1>was shocked the number of them who were completely taken

0:29:28.480 --> 0:29:30.680
<v Speaker 1>by surprise and didn't see it coming at all and

0:29:30.760 --> 0:29:34.480
<v Speaker 1>actually didn't really understand how things worked. So it gave

0:29:34.520 --> 0:29:38.000
<v Speaker 1>me a sort of much more skeptical view of the

0:29:38.400 --> 0:29:41.200
<v Speaker 1>experts in the financial industry. I mean, you know, people

0:29:41.240 --> 0:29:44.120
<v Speaker 1>who were running these firms really didn't know what was happening.

0:29:44.640 --> 0:29:48.200
<v Speaker 1>So I get I just kind of always keep that

0:29:48.280 --> 0:29:49.960
<v Speaker 1>in the back of my mind, no matter how good

0:29:50.080 --> 0:29:52.280
<v Speaker 1>something sounds, and no matter how well it's worked. I

0:29:52.560 --> 0:29:56.040
<v Speaker 1>I think it's always a good idea to remain somewhat

0:29:56.080 --> 0:29:58.719
<v Speaker 1>skeptical and do your own homework. And the people who

0:29:58.800 --> 0:30:00.680
<v Speaker 1>came out looking smart of the people who ask the

0:30:00.760 --> 0:30:04.720
<v Speaker 1>most questions and to that point, you know, uh. In

0:30:04.960 --> 0:30:07.680
<v Speaker 1>going back to the very podcast, when he talked about

0:30:07.720 --> 0:30:10.120
<v Speaker 1>why he thought Passive got so big, he did bring

0:30:10.240 --> 0:30:14.040
<v Speaker 1>up these large sell offs where it did the experts

0:30:14.120 --> 0:30:16.440
<v Speaker 1>did look a little bit like the Emperor wearing no clothes,

0:30:16.840 --> 0:30:19.080
<v Speaker 1>and that over and over, I think is where you

0:30:19.160 --> 0:30:21.640
<v Speaker 1>have a lot of investors going, you know what, screw it.

0:30:21.720 --> 0:30:23.480
<v Speaker 1>I'm just gonna put it in this like dirt cheap

0:30:23.600 --> 0:30:26.080
<v Speaker 1>SMP thing and then that that's all I'm doing. But

0:30:26.200 --> 0:30:28.400
<v Speaker 1>there is some concern if everybody feels like that and

0:30:28.440 --> 0:30:31.480
<v Speaker 1>there's a crowd into this one, you know, dirt cheap

0:30:31.600 --> 0:30:34.720
<v Speaker 1>SMP trade, that's I think where I have to think

0:30:34.720 --> 0:30:38.000
<v Speaker 1>there's some credence the SMP in particular, that index is

0:30:38.120 --> 0:30:41.480
<v Speaker 1>so all powerful because it's it's big and passive, but

0:30:41.560 --> 0:30:45.520
<v Speaker 1>also active managers are orbiting around it too, and I

0:30:45.600 --> 0:30:47.840
<v Speaker 1>think that is where there's some legitimacy to it. But

0:30:47.880 --> 0:30:50.160
<v Speaker 1>I agree with you. I think if you just judge

0:30:50.240 --> 0:30:54.760
<v Speaker 1>this stuff not versus not versus reality, and you think

0:30:54.800 --> 0:30:56.880
<v Speaker 1>of the other options available to you to get exposure

0:30:57.200 --> 0:30:59.440
<v Speaker 1>when you make a choice that way, I think it's

0:30:59.560 --> 0:31:02.200
<v Speaker 1>much better our approach than just buying it because you

0:31:02.240 --> 0:31:04.720
<v Speaker 1>saw commercial or you know, you heard somebody talk about it.

0:31:04.920 --> 0:31:08.920
<v Speaker 1>Everybody else is doing it, right, Christine. One final thing,

0:31:09.080 --> 0:31:11.760
<v Speaker 1>can we talk about your book for a second. What's

0:31:11.800 --> 0:31:14.120
<v Speaker 1>it called? It's First of all, I will say it's

0:31:14.160 --> 0:31:18.360
<v Speaker 1>not My book helped Paul right the right his memoir

0:31:19.120 --> 0:31:21.000
<v Speaker 1>um so he has written the story of his life.

0:31:21.040 --> 0:31:23.440
<v Speaker 1>He's almost ninety one years old. And for those who

0:31:23.520 --> 0:31:25.880
<v Speaker 1>are not familiar with Paul Volker, so, Paul Vulgar was

0:31:25.960 --> 0:31:28.840
<v Speaker 1>the chairman of the Federal Reserve. He killed in the

0:31:29.120 --> 0:31:32.200
<v Speaker 1>hyper and we're not quite hyper inflation, but serious inflation

0:31:32.240 --> 0:31:34.200
<v Speaker 1>problem we had in the United States in the late

0:31:34.280 --> 0:31:37.360
<v Speaker 1>seventies early eighties. And he's a very important rule named

0:31:37.360 --> 0:31:39.640
<v Speaker 1>after him. He has the Vulcar rule named after him

0:31:39.680 --> 0:31:43.320
<v Speaker 1>because he was really he was shocked and horrified during

0:31:43.320 --> 0:31:46.120
<v Speaker 1>the financial crisis and how everything suddenly got treated as

0:31:46.200 --> 0:31:48.120
<v Speaker 1>it was a bank. Right, banks are supposed to be

0:31:48.160 --> 0:31:50.960
<v Speaker 1>special entities, right that you have special rules, I have

0:31:51.040 --> 0:31:53.880
<v Speaker 1>special protections. Suddenly of Goldman, SAX and mor eanxamily were

0:31:53.880 --> 0:31:57.240
<v Speaker 1>treated like banks. Suddenly all mutual fund money market mutual

0:31:57.280 --> 0:31:59.719
<v Speaker 1>funds were treated like banks. Everything was getting bailed out

0:31:59.720 --> 0:32:02.680
<v Speaker 1>as was a bank. And he thought this was a problem,

0:32:02.880 --> 0:32:05.280
<v Speaker 1>which I think a lot of people do, and uh,

0:32:05.520 --> 0:32:07.200
<v Speaker 1>and wanted to make a distinction. You know, if you're

0:32:07.200 --> 0:32:10.239
<v Speaker 1>a bank, there should be certain things protections you get

0:32:10.280 --> 0:32:13.560
<v Speaker 1>because you're important, you're kind of utility for our society.

0:32:13.960 --> 0:32:16.760
<v Speaker 1>But you shouldn't put yourself at undue risk. And that's

0:32:16.760 --> 0:32:19.840
<v Speaker 1>a vocal rule. But anyway, so but he covers everything,

0:32:20.160 --> 0:32:23.720
<v Speaker 1>you know, the end of Bretton Woods, you're fighting inflation,

0:32:24.520 --> 0:32:28.440
<v Speaker 1>financial rulemaking, his personal life story, lots of things he

0:32:28.480 --> 0:32:30.240
<v Speaker 1>did after he left the FED, and so it's a

0:32:30.320 --> 0:32:31.480
<v Speaker 1>it's a good book. And he does it all in

0:32:31.520 --> 0:32:33.680
<v Speaker 1>about three pages, so it's not along yet and the

0:32:33.720 --> 0:32:37.200
<v Speaker 1>books called keeping at It and it comes out. It

0:32:37.280 --> 0:32:40.200
<v Speaker 1>comes out in November seven, can wit good Christmas gift.

0:32:44.440 --> 0:32:47.320
<v Speaker 1>Thanks for listening Trillions until next time. You can find

0:32:47.400 --> 0:32:51.120
<v Speaker 1>us on the Bloomberg Terminal, Bloomberg dot com, Apple Podcast,

0:32:51.520 --> 0:32:53.959
<v Speaker 1>and where else you would like to listen. We'd love

0:32:54.000 --> 0:32:56.880
<v Speaker 1>to hear from you. We're on Twitter, I'm at Joel

0:32:56.920 --> 0:33:00.520
<v Speaker 1>Weber Show, He's at Eric Baltunas, and you can find

0:33:00.600 --> 0:33:05.120
<v Speaker 1>Christina Harper at the cr Underscore. Harper Trillions is produced

0:33:05.160 --> 0:33:08.760
<v Speaker 1>by Magnus Hendrickson. Francesca Levy is the head of Bloomberg

0:33:08.800 --> 0:33:09.760
<v Speaker 1>podcast by