WEBVTT - Surveillance: Stanford Economists Win Nobel Prize

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<v Speaker 1>Yeah, Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene

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<v Speaker 1>Jay Lee. We bring you insight from the best in economics, finance, investment,

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<v Speaker 1>and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud,

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<v Speaker 1>Bloomberg dot Com, and of course on the Bloomberg Didn't

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<v Speaker 1>Turn It. Joining us now, Mar Risk Advice to see day.

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<v Speaker 1>Can we just start with a little bit of a

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<v Speaker 1>clinic on the volatility term structure, what it is, and

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<v Speaker 1>the story around the election that's been priced in and

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<v Speaker 1>now being priced out. Right, So when we look at

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<v Speaker 1>the volatility, we can look at it, can you guys

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<v Speaker 1>hear me, Yeah, we can hear you d Sorry, um, yes,

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<v Speaker 1>So when we look at volatility, we can look at

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<v Speaker 1>it both across strike and then across time. So when

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<v Speaker 1>we look at it across time, that's uh, John, as

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<v Speaker 1>you say that this thing called the volatility term structure.

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<v Speaker 1>So we can look at the VIX. We can look

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<v Speaker 1>at VIX futures that expire in October, November, December, and

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<v Speaker 1>because there's been this date certain event on the calendar,

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<v Speaker 1>the election, uh, for months, the market has differentiated, sometimes strongly,

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<v Speaker 1>between options UH and volatility futures that expire before or

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<v Speaker 1>after the election, with the premise that the election would

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<v Speaker 1>create two things. One a potentially significant move in the

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<v Speaker 1>smp UM in and around the date itself, so the

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<v Speaker 1>outcome would result in a lot of folatility in the

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<v Speaker 1>smp UM. And then the second one is that the market,

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<v Speaker 1>at least as of a couple of weeks ago, started

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<v Speaker 1>to think that um this, this notion of a contested

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<v Speaker 1>election would lead to volatility on an ongoing basis. So

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<v Speaker 1>we started to see longer dated vic's futures, those that

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<v Speaker 1>expire in December. In January also bid up quite a bit.

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<v Speaker 1>It's been interesting. A clinic there in the vix Dean

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<v Speaker 1>current with us and he will continue with us through

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<v Speaker 1>this important hour on the game theory of volatility and

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<v Speaker 1>out folds into futures up fifteen. Right now, we need

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<v Speaker 1>to listen to a moment in Sweden today. Once a

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<v Speaker 1>year in October we listen this year's price. It's about

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<v Speaker 1>auctions Andrada, the Royal Swedish Academy of Sciences, has today

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<v Speaker 1>decided to award the Svatia six Bank Price in Economic

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<v Speaker 1>Sciences in memory of Alfred no Belle jointly to Paul R.

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<v Speaker 1>Milgram and Robert B. Wilson for improvements to auction theory

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<v Speaker 1>and invention of new auction formats, and the celebration today

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<v Speaker 1>in Palo out of California, more than anywhere else at

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<v Speaker 1>Stanford University, I think of a frequent guest, Michael Spence,

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<v Speaker 1>on all of his leadership and academics at Stanford, and

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<v Speaker 1>it devolves down to the leadership and intellect of Robert

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<v Speaker 1>Wilson out of Nebraska, with his academics at Harvard and

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<v Speaker 1>his held core since nineteen sixty eight on the theory

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<v Speaker 1>of syndicates at Stanford University. Professor Wilson, for all of us,

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<v Speaker 1>for Michael McKee, congratulations on this award. Were you surprised? Yes,

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<v Speaker 1>I was surprised because it seemed like the time had

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<v Speaker 1>long past. Most of the interests in auctions peaked, you know,

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<v Speaker 1>ten years ago. Yeah, you know, I look Professor Wilson

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<v Speaker 1>at this and we know from Stanford the monetary theory

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<v Speaker 1>of John B. Taylor and the Hoover Institution in such

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<v Speaker 1>describe what auction theory means for our organization, for our

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<v Speaker 1>societal organization where Stanford has led for forty years, all

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<v Speaker 1>we think of it more generally in terms of market design,

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<v Speaker 1>that there are many ways and with the institutions, the

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<v Speaker 1>procedural rules and so on, the ways in which we

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<v Speaker 1>allocate resources can be improved. A lot of times. Uh,

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<v Speaker 1>these interventions are really, let's say, minor changes on the margin.

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<v Speaker 1>But in some cases there they create entirely new markets.

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<v Speaker 1>So we saw that in the spectrum auctions. But uh,

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<v Speaker 1>my colleague Elvin Ross, you know, he worked on a

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<v Speaker 1>market for exchange of kidneys among donor donors and recipients.

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<v Speaker 1>So there are many novel applications in which we create markets.

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<v Speaker 1>People participate and they work and work efficiently and with

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<v Speaker 1>good incentives. Well, you're modest there, then, Elvin Roth studied

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<v Speaker 1>under you at Stanford a few years ago. I think,

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<v Speaker 1>Robert Wilson of all this, and what I think of

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<v Speaker 1>is my colleague John Farrell bidding for a piece of

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<v Speaker 1>art at Christie's in London. Your work goes so far

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<v Speaker 1>beyond the auctions that we understand the auctions of the

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<v Speaker 1>art market, or maybe the auctions for a foreclosed house.

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<v Speaker 1>What does our audience worldwide need to know about where

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<v Speaker 1>the science of auctions is going in? What it means

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<v Speaker 1>for US worldwide. Well, we could deal with very complex

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<v Speaker 1>multi commodity kinds of situations. So there are many different

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<v Speaker 1>spectrum licenses in electricity. We're talking about electricity at various times,

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<v Speaker 1>at various places. So these are ones which were systems

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<v Speaker 1>which were allocating a huge variety of resources continuously over time.

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<v Speaker 1>In the case of electricity, uh, it's a complex uh

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<v Speaker 1>so much more complex than a single piece of art

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<v Speaker 1>being auctioned under a gavel and then the next one

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<v Speaker 1>and then the next one. Instead, these are cases at

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<v Speaker 1>which your people trying to buy or sell like packages

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<v Speaker 1>of things or there. In a sense of electricity, you

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<v Speaker 1>have to have the energy, the transmission lines, all of

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<v Speaker 1>the connections that are necessary. So you're bitty for a

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<v Speaker 1>complex commodity, and there are many of them. Professor, this

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<v Speaker 1>is an incredibly relevant field of study in our digital

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<v Speaker 1>era as well as an era of central bank intervention,

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<v Speaker 1>where a lot of people are wondering whether efficient markets

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<v Speaker 1>still exist among public equities and public debt. I know

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<v Speaker 1>you focus on the less mainstream asset classes and how

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<v Speaker 1>to auction them efficiently, but based on your intensive knowledge

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<v Speaker 1>of efficient markets, how inefficient have public markets gotten with

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<v Speaker 1>that Central Bank intervention. That's way beyond my expertise. I'm

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<v Speaker 1>afraid I couldn't give a reliable answer. Sorry, all right. Well,

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<v Speaker 1>in that in that case, are there other asset classes

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<v Speaker 1>that you foresee moving to a sort of auction format

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<v Speaker 1>in our digital era that perhaps haven't been thought of

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<v Speaker 1>in that way? Well, a good one to think about

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<v Speaker 1>is uh something like electricity, because we have all these

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<v Speaker 1>UH needs now for solar powered energy from from solar

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<v Speaker 1>power and from wind, and it's quite variable, so we

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<v Speaker 1>need to create new kinds of markets for those kinds

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<v Speaker 1>of variable resources, you know, to keep the supply provided

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<v Speaker 1>to beat the demand. So that that's a new and

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<v Speaker 1>different kind of application. Robert Wilson, I want to take

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<v Speaker 1>you beyond the theory of syndicates and what seems like

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<v Speaker 1>ancient auction theory to what we're dealing with every day,

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<v Speaker 1>which is our new digital dominance, the auctions that take

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<v Speaker 1>part obviously on eBay, but far more the auctions and

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<v Speaker 1>the information flow led by Apple, led by Google and

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<v Speaker 1>the rest as well. What would you presume to be

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<v Speaker 1>the future for how we bid each day within technology? Well,

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<v Speaker 1>I think if you take those kinds of auctions as examples.

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<v Speaker 1>What you see is that mostly automated that these are.

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<v Speaker 1>They're a minute by minute or second by second, and

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<v Speaker 1>they're done with bidding bots. You know, robots are algorithmic methods.

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<v Speaker 1>So there's a continuous reallocation of resources, and I think

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<v Speaker 1>you're going to see a lot more of that in

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<v Speaker 1>many fields. Robert Wilson, thank you so much for joining

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<v Speaker 1>us the Nobel Prize winner with Professor Milgram, Paul Milgram

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<v Speaker 1>as well Michael mckeeon, and I say thank you as

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<v Speaker 1>this all of Bloomberg Economics. John just to call one

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<v Speaker 1>point one million dollar prize this year, Tom an upgrade

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<v Speaker 1>from the year before. So we see how you can

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<v Speaker 1>put that money to work. With Dean Kern and the

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<v Speaker 1>macro risk advice, how the professor get a trade? How

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<v Speaker 1>the professor get a trade? Dean, we were talking about

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<v Speaker 1>the volatility term structure just before turning to him. It's

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<v Speaker 1>been faded volatility in the back half of this year

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<v Speaker 1>over the last couple of weeks. How do you navigate

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<v Speaker 1>these issues now? Dean, I think one of the things

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<v Speaker 1>we should really step back and contemplate in terms of

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<v Speaker 1>volatility is that, like any market, it's just a it's

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<v Speaker 1>an outcome of supply and demand, meaning, you know, the

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<v Speaker 1>price of alatility of the market just reflects where two

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<v Speaker 1>people found a way to do a trade. And one

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<v Speaker 1>of the dynamics that was occurring over the summer that

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<v Speaker 1>started to ease off is this tech stock mania. So

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<v Speaker 1>look at indices like the New York Fang Index or

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<v Speaker 1>just picked Tesla or Amazon. The speed with which these

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<v Speaker 1>stocks were going up and then the retail almost reflective

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<v Speaker 1>participation in that led to a tremendous amount of call

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<v Speaker 1>buying in the high flying tech stocks. And if you

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<v Speaker 1>look almost to the day when the tech stocks peaked

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<v Speaker 1>right around the first day of September. Since then, as

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<v Speaker 1>things have been um you know, down a little bit,

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<v Speaker 1>not tremendously, but certainly not that high performance to the upside,

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<v Speaker 1>the volumes and tech stock options have declined, in some

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<v Speaker 1>cases dramatically. And so what what's happened is, against thinking

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<v Speaker 1>about it from a supply demand perspective, the demand for

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<v Speaker 1>optionality in the market has started to recede because the

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<v Speaker 1>payoff to being long upside calls has started to recede.

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<v Speaker 1>And so that that's one part of the story is

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<v Speaker 1>that because there's less demand, the price of volatility is

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<v Speaker 1>going down. UM. So as we started trying to disentangle

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<v Speaker 1>what's happening, some of it, I do think is Biden

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<v Speaker 1>pulling away sufficiently such that this notion of a contested

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<v Speaker 1>election may be less of an issue for the market. Um.

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<v Speaker 1>But but again, some of it is just a fall

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<v Speaker 1>off in demand and that's allowing volatility to clear the

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<v Speaker 1>market at a lower level than it was doing, you know,

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<v Speaker 1>in the peak several weeks ago. So Jana had this

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<v Speaker 1>conversation with Muhammadalarian on Friday, and I do think it's

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<v Speaker 1>important the price seems to be shaping narrative. It's not

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<v Speaker 1>the narrative driving the price. Do you see some of

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<v Speaker 1>that going on here as well? Oh, tremendous amount. I mean,

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<v Speaker 1>the street is in some ways hopelessly addicted to backfilling

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<v Speaker 1>the narrative. Um. There's a lot of confirmation bias in it. Um.

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<v Speaker 1>You know, we stare at prices and we try to

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<v Speaker 1>figure out what the market is telling us. I think

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<v Speaker 1>that's a useful exercise. We're supposed to do it. But again,

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<v Speaker 1>I think a framework that brings to just this notion

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<v Speaker 1>of of supply and demand, especially as it comes to volve.

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<v Speaker 1>It's been a really interesting year for volatility because we've

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<v Speaker 1>had a couple of these dynamics. One, as I mentioned,

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<v Speaker 1>this incredible demand from an unusual source, the retail source

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<v Speaker 1>for for calls UH in tech stocks, and then the

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<v Speaker 1>second one UM I'd point to two things on the

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<v Speaker 1>supply side of volatility that are important. One, UH March

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<v Speaker 1>was a year even worse than the worst part of

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<v Speaker 1>two thousand and eight in terms of the explosion of

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<v Speaker 1>alatility and what it did to short volatility strategies. There

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<v Speaker 1>was a massive destruction of capital UH in the space,

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<v Speaker 1>so all ell sequel, there's less supply of volatility. And

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<v Speaker 1>then the second thing is just in and around the election,

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<v Speaker 1>an incredibly political event for our country, polarizing, but even

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<v Speaker 1>for the markets themselves. My senses and just talking to

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<v Speaker 1>people that UM risk managers would would prefer not to

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<v Speaker 1>lose money on the election. You know. It's it's one

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<v Speaker 1>of these things that uh as, especially as time draws nearer,

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<v Speaker 1>I think people's risk limits are going to be called

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<v Speaker 1>into question, and the ability to provide capital hedging type

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<v Speaker 1>capital into that event is going to be called into question.

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<v Speaker 1>Now again, it may be a little bit less so

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<v Speaker 1>if if the market becomes so convinced that a Biden

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<v Speaker 1>uh win is is uh you know, baked in the cake,

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<v Speaker 1>and the Senate win increasingly as well is baked in

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<v Speaker 1>the cake. But I think that's just another thing to

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<v Speaker 1>really watch is the streets ability to provide hedges over

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<v Speaker 1>this period is compromised by just the unusual nature of

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<v Speaker 1>the event and the reality that it's just not analyzable

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<v Speaker 1>in the in the traditional sense that Wall Street likes

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<v Speaker 1>to analyze things. Dean, given where positioning is now, and

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<v Speaker 1>given the fact there does seem to be a complacency

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<v Speaker 1>around a bowl a long call, how susceptible or markets

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<v Speaker 1>right now to a violent move should there be a

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<v Speaker 1>contested election or an outcome that people aren't expecting right well,

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<v Speaker 1>I think price would tell you more so than a

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<v Speaker 1>couple of weeks ago. As John pointed out, there there's

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<v Speaker 1>been a fading of of things that measure volatility, whether

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<v Speaker 1>it's option prices or vicked features. December, vicked features are

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<v Speaker 1>down from thirty two to twenty eight over the last

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<v Speaker 1>couple of weeks. That's actually quite quite a big move

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<v Speaker 1>for that so I think more so than the peak

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<v Speaker 1>a couple of weeks ago. There there is this complacency

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<v Speaker 1>and a risk. I think one of the big risks

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<v Speaker 1>is that the polls start to narrow, uh significantly. I

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<v Speaker 1>think that's gonna, you know, uh enable Trump to potentially

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<v Speaker 1>gen of controversy, and I think the market will be

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<v Speaker 1>uh not well suited for that given current pricing. Jean Curnin,

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<v Speaker 1>thank you so much. Macros Advisors. Betsy Stevenson enjoys now

0:13:45.440 --> 0:13:50.160
<v Speaker 1>at Michigan, the Fourth School at Michigan, Professor of Public Policy. Betsy,

0:13:50.240 --> 0:13:51.840
<v Speaker 1>what I want to do to start is go back

0:13:51.840 --> 0:13:54.440
<v Speaker 1>to first principles, which you know is Carl Case so

0:13:54.480 --> 0:13:58.320
<v Speaker 1>I'm sure you studied with at Wellesley a few years ago.

0:13:58.640 --> 0:14:01.880
<v Speaker 1>The first principle is if you have debt, you need

0:14:02.040 --> 0:14:06.000
<v Speaker 1>economic growth and a growth rate that is better than good.

0:14:06.480 --> 0:14:09.200
<v Speaker 1>Are we anyway as certain that we will have a

0:14:09.240 --> 0:14:12.280
<v Speaker 1>growth rate to help us out of this huge amount

0:14:12.320 --> 0:14:16.640
<v Speaker 1>of debt. Well, you know the thing is, we got

0:14:16.760 --> 0:14:19.240
<v Speaker 1>to do the stimulus spending in order to get the

0:14:19.280 --> 0:14:22.840
<v Speaker 1>growth rate that will help us out of the debt.

0:14:22.840 --> 0:14:26.000
<v Speaker 1>I mean, it is absolutely the case that one of

0:14:26.000 --> 0:14:27.840
<v Speaker 1>the best ways to deal with debt is just to

0:14:27.960 --> 0:14:30.920
<v Speaker 1>grow so fast that the debt shrinks as a percent

0:14:30.960 --> 0:14:35.280
<v Speaker 1>of GDP. But you know what, you were the idea

0:14:35.400 --> 0:14:39.560
<v Speaker 1>that when the stimulus comes, that it needs to come fast.

0:14:40.120 --> 0:14:42.600
<v Speaker 1>That the whole point there is that we need to

0:14:43.320 --> 0:14:46.880
<v Speaker 1>restore potential GDP. We need to be able to get

0:14:46.880 --> 0:14:49.640
<v Speaker 1>to potential and go back to growing if we put

0:14:49.640 --> 0:14:55.080
<v Speaker 1>ourselves on a permanently lower level of GDP. So we're

0:14:55.440 --> 0:14:58.920
<v Speaker 1>we're sort of never quite getting back to potential in

0:14:58.960 --> 0:15:01.520
<v Speaker 1>a lower growth path, so we're never like quite back

0:15:01.520 --> 0:15:04.640
<v Speaker 1>to where we were. Well, then that's a problem, and

0:15:04.800 --> 0:15:07.240
<v Speaker 1>now there's lots of reasons we could end up doing

0:15:07.240 --> 0:15:10.880
<v Speaker 1>a lot of permanent destructions. The more businesses that would

0:15:10.880 --> 0:15:14.200
<v Speaker 1>have been viable that would be hard to to put

0:15:14.240 --> 0:15:19.320
<v Speaker 1>back together again, that disappear um, that causes problems, Families

0:15:19.360 --> 0:15:22.080
<v Speaker 1>that you know, go to bankruptcy that are just never

0:15:22.160 --> 0:15:24.480
<v Speaker 1>quite able to get back on their feet again. These

0:15:24.480 --> 0:15:27.680
<v Speaker 1>things happen, and that's why it's so important for government

0:15:28.000 --> 0:15:31.240
<v Speaker 1>to respond in a timely way. But it's also important

0:15:31.240 --> 0:15:34.280
<v Speaker 1>for government to respond in a timely way because it

0:15:34.320 --> 0:15:38.440
<v Speaker 1>alleviates the suffering. So we can tell the economic story really,

0:15:38.520 --> 0:15:41.520
<v Speaker 1>you know, get us back to where we were as

0:15:41.560 --> 0:15:45.080
<v Speaker 1>quickly as possible get us on a strong past, but

0:15:45.200 --> 0:15:48.240
<v Speaker 1>realized every day they delay, there's somebody's not put food

0:15:48.240 --> 0:15:50.440
<v Speaker 1>on the table, who's at risking in their I don't

0:15:50.440 --> 0:15:52.600
<v Speaker 1>need a single point estimate from you, because that's what

0:15:52.640 --> 0:15:55.400
<v Speaker 1>we do in market economics, and you're clearly under the

0:15:55.440 --> 0:15:58.440
<v Speaker 1>academic purview. But where is potential g d P. There's

0:15:58.440 --> 0:16:02.160
<v Speaker 1>a belief in Mourning America that we go back nostalgically

0:16:02.280 --> 0:16:06.080
<v Speaker 1>to a time of what we would call substantial GDP growth.

0:16:06.240 --> 0:16:11.720
<v Speaker 1>Are those days gone? Well? I mean, you know, I

0:16:12.240 --> 0:16:17.000
<v Speaker 1>you guys know the whole secular stagnation argument as well

0:16:17.040 --> 0:16:20.600
<v Speaker 1>as as I do. Um. You know, estimates I've seen

0:16:20.720 --> 0:16:23.760
<v Speaker 1>of where growth can be is that it's it's lower.

0:16:23.960 --> 0:16:26.640
<v Speaker 1>You know, there's concern that we've run out of ideas

0:16:26.880 --> 0:16:28.760
<v Speaker 1>in a way that's just gonna make it harder for

0:16:28.880 --> 0:16:32.160
<v Speaker 1>us to to, you know, grow faster. But I have

0:16:32.320 --> 0:16:35.640
<v Speaker 1>to tell you, you you know, I go to UH tech

0:16:35.720 --> 0:16:40.360
<v Speaker 1>conferences every year sort of UH is artificial intelligence gonna

0:16:40.400 --> 0:16:43.880
<v Speaker 1>take our job but make us rich, And I'm impressed

0:16:44.000 --> 0:16:46.920
<v Speaker 1>every year by the amount of progress I've been seeing there.

0:16:47.040 --> 0:16:50.080
<v Speaker 1>So I think there's actually you know a lot of

0:16:50.840 --> 0:16:55.400
<v Speaker 1>room for us to do things better, faster, cheaper. That's

0:16:55.440 --> 0:16:58.640
<v Speaker 1>where our growth comes from. And and I'm always an optimist,

0:16:58.640 --> 0:17:00.040
<v Speaker 1>we can do it. I also think we have a

0:17:00.080 --> 0:17:03.560
<v Speaker 1>lot of untapped potential in people, um and that's why

0:17:03.840 --> 0:17:08.320
<v Speaker 1>investing in people is so important, because we can harness

0:17:08.359 --> 0:17:12.440
<v Speaker 1>all that untapped potential. You know, that's what will fuel growth.

0:17:12.920 --> 0:17:15.280
<v Speaker 1>And realize, if you know, if you go back to

0:17:15.320 --> 0:17:19.080
<v Speaker 1>the nineteen seventies, nineteen eighties, you know, a large chunk

0:17:19.160 --> 0:17:21.560
<v Speaker 1>of our growth just came from the rise of female

0:17:21.600 --> 0:17:27.200
<v Speaker 1>labor force participation. If female labor force participation in twenty

0:17:27.359 --> 0:17:31.600
<v Speaker 1>nineteen had been back where it was in the nineteen seventies,

0:17:31.920 --> 0:17:35.639
<v Speaker 1>are in g d P would be about fifteen percent smaller.

0:17:36.200 --> 0:17:39.639
<v Speaker 1>So just think about that and then realize that women's

0:17:39.720 --> 0:17:43.199
<v Speaker 1>labor force participation right now is back where it was

0:17:43.480 --> 0:17:47.600
<v Speaker 1>in the mid primate. Women's labor force participation is back

0:17:47.640 --> 0:17:51.320
<v Speaker 1>where it was in the mid nineteen eighties. So if

0:17:51.359 --> 0:17:53.040
<v Speaker 1>you want us to get back, we got to get

0:17:53.040 --> 0:17:56.879
<v Speaker 1>all these people back in the labor force. So, Betsy,

0:17:57.040 --> 0:18:00.480
<v Speaker 1>two really powerful concepts you've touched on in just minutes.

0:18:00.600 --> 0:18:02.880
<v Speaker 1>Something that I've heard from other prominent economists as well.

0:18:02.920 --> 0:18:05.560
<v Speaker 1>The longer we are below potential, the lower potential growth

0:18:05.680 --> 0:18:08.960
<v Speaker 1>might be in the future. But when you talk about policy,

0:18:08.960 --> 0:18:11.800
<v Speaker 1>you're talking about structural initiatives as well, not just throwing

0:18:11.840 --> 0:18:14.320
<v Speaker 1>money at the issue. At the moment, Bessie can put

0:18:14.320 --> 0:18:19.840
<v Speaker 1>those two concepts together, and the urgency to do something quickly, well,

0:18:19.840 --> 0:18:22.280
<v Speaker 1>I think, you know, we need to do something quickly,

0:18:22.560 --> 0:18:24.719
<v Speaker 1>and that's the idea that we need to get money

0:18:24.880 --> 0:18:27.400
<v Speaker 1>out the door, and that's, you know, the same thing

0:18:27.440 --> 0:18:29.440
<v Speaker 1>that they did with the CARES act. I think that's

0:18:29.480 --> 0:18:32.760
<v Speaker 1>money to individuals, to families to make sure that they

0:18:32.800 --> 0:18:36.840
<v Speaker 1>can keep spending so that we don't end up with

0:18:36.880 --> 0:18:41.000
<v Speaker 1>demand driven problems. Um and we are seeing demand driven

0:18:41.000 --> 0:18:44.160
<v Speaker 1>problems starting to pick up. We thought demand driven problems

0:18:44.520 --> 0:18:47.920
<v Speaker 1>we're huge in the spring. So that's getting money to people.

0:18:48.280 --> 0:18:51.960
<v Speaker 1>You get money to businesses to help businesses that can

0:18:52.680 --> 0:18:55.879
<v Speaker 1>make it to the other side survive. We're gonna lose

0:18:56.000 --> 0:18:59.080
<v Speaker 1>some of some businesses for sure, and that's why the

0:18:59.160 --> 0:19:02.120
<v Speaker 1>next step for government is going to be thinking about

0:19:02.200 --> 0:19:05.320
<v Speaker 1>how do we transition people, how do we provide the

0:19:05.400 --> 0:19:10.520
<v Speaker 1>drop job training programs, how do we provide the liquidity

0:19:10.640 --> 0:19:14.040
<v Speaker 1>in markets? For new businesses to be able to get started.

0:19:14.560 --> 0:19:19.639
<v Speaker 1>How do we foster the creation of change? And there

0:19:19.720 --> 0:19:22.960
<v Speaker 1>I think we need a government with as strong as

0:19:22.960 --> 0:19:27.440
<v Speaker 1>set of plans on that as on the stimulus package.

0:19:27.480 --> 0:19:29.640
<v Speaker 1>And so I think the second is what we're gonna

0:19:29.640 --> 0:19:32.680
<v Speaker 1>have to wait and see after the election, just because

0:19:32.680 --> 0:19:36.440
<v Speaker 1>I think, you know, nobody can take um that kind

0:19:36.480 --> 0:19:40.160
<v Speaker 1>of strong initiative now. But now that would be where

0:19:40.320 --> 0:19:43.439
<v Speaker 1>I would hope we see, you know, in the early

0:19:43.480 --> 0:19:47.520
<v Speaker 1>spring of next year, you know, comprehensive plans around how

0:19:47.640 --> 0:19:50.800
<v Speaker 1>we move the economy to the next stage, because there

0:19:50.960 --> 0:19:54.760
<v Speaker 1>is going to be some permanent realignment, some permanent sectoral

0:19:54.840 --> 0:19:57.520
<v Speaker 1>shifts to build on what John was talking about. With

0:19:57.560 --> 0:19:59.439
<v Speaker 1>the timing of this plan on it maybe not the

0:19:59.480 --> 0:20:02.720
<v Speaker 1>one next year that focuses more on these skills gap

0:20:02.840 --> 0:20:05.639
<v Speaker 1>issues that you focus on is the question of fiscal

0:20:05.640 --> 0:20:08.359
<v Speaker 1>austerity at a state level, the idea that states and

0:20:08.400 --> 0:20:11.879
<v Speaker 1>local governments are saying to the federal government, we can't

0:20:11.920 --> 0:20:13.679
<v Speaker 1>go into debt the way that you can, and we

0:20:13.720 --> 0:20:15.480
<v Speaker 1>are running out of cash. We're going to have to

0:20:15.520 --> 0:20:18.919
<v Speaker 1>lay people off and cut services. How different is the

0:20:18.960 --> 0:20:21.960
<v Speaker 1>scarring that comes from an acceleration of fiscal austerity on

0:20:22.000 --> 0:20:25.040
<v Speaker 1>the state level that you see as posing a risk

0:20:25.080 --> 0:20:28.240
<v Speaker 1>to the economy if there isn't this near term fiscal

0:20:28.280 --> 0:20:33.560
<v Speaker 1>support bill that's passed. So I think that the fiscal

0:20:33.600 --> 0:20:37.680
<v Speaker 1>austerity the states go through UM in modern times has

0:20:37.760 --> 0:20:42.360
<v Speaker 1>really caused recessions to drag on to deepen UM. And

0:20:42.480 --> 0:20:45.639
<v Speaker 1>it's the case that the federal government should just prevent

0:20:45.720 --> 0:20:48.480
<v Speaker 1>that from happening. But it's even worse right now because

0:20:49.200 --> 0:20:53.040
<v Speaker 1>what happens if the states have to start letting off teachers,

0:20:53.200 --> 0:20:57.119
<v Speaker 1>which they will. UM. We're already in the situation where

0:20:57.400 --> 0:21:00.920
<v Speaker 1>there are a lot of parents who have cut hours

0:21:01.040 --> 0:21:03.280
<v Speaker 1>or who have quit jobs because they've got kids at

0:21:03.280 --> 0:21:05.399
<v Speaker 1>home from school. And we've got a lot of kids

0:21:05.680 --> 0:21:10.159
<v Speaker 1>who are struggling from you know, this period of you know,

0:21:10.320 --> 0:21:13.200
<v Speaker 1>eight ish months where their school hasn't been normal. They're

0:21:13.200 --> 0:21:16.000
<v Speaker 1>gonna be going back to school in a world where

0:21:16.040 --> 0:21:19.520
<v Speaker 1>they're you know, wearing the ones who are our in school,

0:21:19.560 --> 0:21:22.040
<v Speaker 1>or in a in a world where they're wearing masks.

0:21:22.119 --> 0:21:24.280
<v Speaker 1>They have to keep distance. How do we do that

0:21:24.320 --> 0:21:28.000
<v Speaker 1>with fewer teachers in the classroom? Do parents feel comfortable

0:21:28.040 --> 0:21:31.240
<v Speaker 1>but that's the place they can done their kids? UM?

0:21:31.359 --> 0:21:33.840
<v Speaker 1>And what we're doing with these kids. You know, I

0:21:33.880 --> 0:21:37.600
<v Speaker 1>just saw someone talk about future US productivity in future

0:21:37.640 --> 0:21:39.600
<v Speaker 1>US growth and he was saying, you know, one of

0:21:39.640 --> 0:21:41.800
<v Speaker 1>the big open questions is what are we doing with

0:21:41.880 --> 0:21:44.200
<v Speaker 1>these kids? And is there some sort of permanent loss

0:21:44.200 --> 0:21:47.320
<v Speaker 1>of human capital? So this could not be a worse

0:21:47.400 --> 0:21:51.520
<v Speaker 1>recession for states to have to lay off UM, state

0:21:51.680 --> 0:21:55.800
<v Speaker 1>and local workers and um, you know, is there is

0:21:55.800 --> 0:21:59.760
<v Speaker 1>there permanent you know, problems there. It really depends on

0:22:00.280 --> 0:22:03.920
<v Speaker 1>what they're choosing to do. Are they having rolling furloughs

0:22:04.359 --> 0:22:07.440
<v Speaker 1>that will cause a lot of a lot of harm

0:22:07.520 --> 0:22:11.720
<v Speaker 1>and hurt in in terms of state employees, households, um.

0:22:11.760 --> 0:22:14.600
<v Speaker 1>But maybe we'll keep them attached to the job, or

0:22:14.680 --> 0:22:19.600
<v Speaker 1>do we see you know, government workers decide that it's

0:22:19.600 --> 0:22:21.040
<v Speaker 1>not worth that they're not going to stick it to

0:22:21.080 --> 0:22:24.880
<v Speaker 1>these jobs, or do they do permanent layoffs um. In particular,

0:22:24.960 --> 0:22:28.400
<v Speaker 1>One thing I don't hear anybody talking about is we've

0:22:28.440 --> 0:22:31.560
<v Speaker 1>never seen such a decline in the labor force participation

0:22:31.600 --> 0:22:33.840
<v Speaker 1>of people over the age of fifty five. And I

0:22:33.840 --> 0:22:36.960
<v Speaker 1>think you're gonna see a lot of older workers deciding

0:22:37.000 --> 0:22:39.480
<v Speaker 1>to retire a little bit early, and that's gonna put

0:22:39.720 --> 0:22:45.959
<v Speaker 1>enormous strain on social security, on medicare um as well

0:22:46.000 --> 0:22:48.360
<v Speaker 1>as again, you know, on the economy. As we take

0:22:48.359 --> 0:22:51.919
<v Speaker 1>all these experienced people out early, that's going to give

0:22:52.000 --> 0:22:55.040
<v Speaker 1>us a bumpy road over the next five years before

0:22:55.119 --> 0:22:59.880
<v Speaker 1>sort of losing too many older workers at once. That's

0:23:00.040 --> 0:23:02.560
<v Speaker 1>great to catch up on a really important policy conversation,

0:23:02.600 --> 0:23:06.199
<v Speaker 1>Betty Stevenson, their professor of public policy and economics at

0:23:06.200 --> 0:23:12.119
<v Speaker 1>the University of Michigan, Rat pob Donovan, get to it

0:23:12.240 --> 0:23:15.360
<v Speaker 1>very quickly. You'll um us in a global chief economist

0:23:15.359 --> 0:23:18.800
<v Speaker 1>in the Zitgeist this weekend, Parl. There's no question about it.

0:23:18.840 --> 0:23:23.240
<v Speaker 1>Can you believe China's recovery? Can you? Yes? I think

0:23:23.320 --> 0:23:26.360
<v Speaker 1>China has had a genuine recovery. China's recovery was very

0:23:26.440 --> 0:23:30.639
<v Speaker 1>different from what we saw in Europe and in the States,

0:23:30.720 --> 0:23:34.480
<v Speaker 1>because in Europe and in the States, people acquired savings

0:23:34.600 --> 0:23:38.399
<v Speaker 1>during lockdown and then as soon as they're released from lockdown,

0:23:38.800 --> 0:23:41.359
<v Speaker 1>you know, you've just spent three months sat at home

0:23:41.400 --> 0:23:44.760
<v Speaker 1>watching home makeover shows on Netflix. What are you gonna do?

0:23:44.800 --> 0:23:46.919
<v Speaker 1>You're gonna go rush out and spend the money. And

0:23:46.960 --> 0:23:50.720
<v Speaker 1>that's exactly what happened. And once you've spent the savings. Then,

0:23:50.760 --> 0:23:54.320
<v Speaker 1>obviously the momentum slows, slowing fourth quarter momentum. It's hardly

0:23:54.359 --> 0:23:58.000
<v Speaker 1>a surprise. Every economist was expecting this to happen. But

0:23:58.240 --> 0:24:02.200
<v Speaker 1>China didn't have that model. Because China's lockdown, people weren't

0:24:02.240 --> 0:24:06.360
<v Speaker 1>able to accumulate savings. They were having to live off

0:24:06.400 --> 0:24:10.560
<v Speaker 1>their savings because there's a far less efficient social security net.

0:24:10.840 --> 0:24:13.560
<v Speaker 1>So what's happened in China is that there was a

0:24:13.600 --> 0:24:18.120
<v Speaker 1>pause before the domestic consumption started to kick in, and

0:24:18.160 --> 0:24:21.800
<v Speaker 1>that coincided with the recovery and demand that we've been

0:24:21.840 --> 0:24:24.119
<v Speaker 1>seeing in Europe and in the States. Can you bring

0:24:24.240 --> 0:24:28.320
<v Speaker 1>that recovery and demand over to GDP in the US

0:24:28.480 --> 0:24:31.320
<v Speaker 1>and in Europe? And by that I mean equity markets

0:24:31.359 --> 0:24:36.040
<v Speaker 1>today dowwy THO one, sp X almost up to thirty

0:24:36.119 --> 0:24:39.119
<v Speaker 1>five hundred, almost out in your record highs were a

0:24:39.160 --> 0:24:40.840
<v Speaker 1>bit away from that. I don't want to oversell that,

0:24:41.760 --> 0:24:46.359
<v Speaker 1>but Paul, can you look at the expectation of the

0:24:46.400 --> 0:24:49.120
<v Speaker 1>equity markets and half out do you get that real

0:24:49.160 --> 0:24:52.760
<v Speaker 1>GDP that goes with that? Well, we've got to remember,

0:24:52.800 --> 0:24:54.840
<v Speaker 1>of course, that there is a there's a really important

0:24:54.840 --> 0:24:58.560
<v Speaker 1>distinction that the equity markets are just a sub set

0:24:58.680 --> 0:25:01.719
<v Speaker 1>of g d P and listed companies are not actually

0:25:01.800 --> 0:25:04.719
<v Speaker 1>nearly as important as people think that they are. Um

0:25:05.040 --> 0:25:08.800
<v Speaker 1>And so what we're looking at here is a GDP

0:25:09.080 --> 0:25:11.560
<v Speaker 1>environment where a lot of the negatives on g d

0:25:11.720 --> 0:25:16.639
<v Speaker 1>P are actually in sectors a million miles away from

0:25:17.119 --> 0:25:21.560
<v Speaker 1>listed equities. So it's it's the small restaurants that are suffering.

0:25:21.600 --> 0:25:24.760
<v Speaker 1>It's the small service sector businesses that are suffering. These

0:25:24.800 --> 0:25:27.119
<v Speaker 1>are not listed companies. These are mom and pop stores.

0:25:27.160 --> 0:25:30.280
<v Speaker 1>They're not they're not in a position to be quoted

0:25:30.320 --> 0:25:33.600
<v Speaker 1>on equity markets. The listed market tends to be more

0:25:33.640 --> 0:25:38.200
<v Speaker 1>biased towards the manufacturing sector. Manufacturing is doing better than services.

0:25:38.400 --> 0:25:42.120
<v Speaker 1>It's got better access to capital, it's got better control

0:25:42.160 --> 0:25:45.960
<v Speaker 1>of its costs. The listed sector is going to outperform

0:25:46.080 --> 0:25:48.560
<v Speaker 1>g d P in this environment, and that, of course,

0:25:48.640 --> 0:25:51.800
<v Speaker 1>is exactly what we're seeing happen. Paul. I'd love for

0:25:51.800 --> 0:25:53.600
<v Speaker 1>you to compare and contrast what's happening in the United

0:25:53.680 --> 0:25:57.040
<v Speaker 1>States and Europe, not just the US and Europe versus China.

0:25:57.240 --> 0:25:59.000
<v Speaker 1>There's a trade that's become really popular in the bond

0:25:59.040 --> 0:26:01.360
<v Speaker 1>market over the last ever a weeks. I'm sure you're familiar.

0:26:01.600 --> 0:26:04.199
<v Speaker 1>Short treasuries get along Europe. Just the idea that this

0:26:04.320 --> 0:26:08.959
<v Speaker 1>US recovery continues and it stalls in Europe. What you're

0:26:08.960 --> 0:26:11.680
<v Speaker 1>seeing right now, just the trajectory of the respective recoveries,

0:26:11.680 --> 0:26:16.560
<v Speaker 1>does it speak to that, Well, not really, I would say.

0:26:16.760 --> 0:26:20.480
<v Speaker 1>So what we're seeing now is a shift. So as

0:26:20.480 --> 0:26:23.119
<v Speaker 1>I said, you know, we've had this surge of consumer

0:26:23.160 --> 0:26:26.960
<v Speaker 1>spending fueled by the savings accumulated in lockdown. That's pretty

0:26:27.000 --> 0:26:29.880
<v Speaker 1>much universal in the developed world. And that's your third

0:26:29.960 --> 0:26:34.080
<v Speaker 1>quarter story record third quarters. As we go through the

0:26:34.119 --> 0:26:36.840
<v Speaker 1>fourth quarter and into next year, fiscal policy is going

0:26:36.880 --> 0:26:40.280
<v Speaker 1>to start playing a larger role, and there we're going

0:26:40.320 --> 0:26:44.080
<v Speaker 1>to have I think, um some issues now are depending

0:26:44.119 --> 0:26:46.320
<v Speaker 1>on the election result. We might get a large fiscal

0:26:46.359 --> 0:26:49.639
<v Speaker 1>stimulus in the States in January, but of course, you know,

0:26:49.680 --> 0:26:54.440
<v Speaker 1>the the negotiations in Washington at the moment your rival

0:26:54.600 --> 0:26:58.040
<v Speaker 1>briggsit for the the delays and the chaos and the

0:26:58.080 --> 0:27:02.400
<v Speaker 1>internal tedium of of what's going on. So the failure

0:27:02.440 --> 0:27:05.359
<v Speaker 1>to do fiscal stimulus now is actually doing real damage

0:27:05.400 --> 0:27:08.600
<v Speaker 1>to the US economy. First, because if you're unfortunate enough

0:27:08.640 --> 0:27:11.440
<v Speaker 1>to be unemployed, you are clearly on a far lower

0:27:11.440 --> 0:27:15.439
<v Speaker 1>income than you were. And second and economically, this is

0:27:15.520 --> 0:27:20.480
<v Speaker 1>very important if you are afraid that you might become unemployed,

0:27:21.240 --> 0:27:24.840
<v Speaker 1>that fear of a loss of income in unemployment is

0:27:24.880 --> 0:27:29.000
<v Speaker 1>likely to delay spending. And so what we're getting here

0:27:29.119 --> 0:27:32.720
<v Speaker 1>is is two hits to the consumer through fiscal policy.

0:27:32.840 --> 0:27:35.639
<v Speaker 1>Now that's not in evidence in Europe. In Europe we

0:27:35.680 --> 0:27:38.199
<v Speaker 1>are seeing the number of people on furlough fall, but

0:27:38.359 --> 0:27:41.880
<v Speaker 1>that's because they're being rehired, not because they're being made unemployed.

0:27:42.200 --> 0:27:44.280
<v Speaker 1>And so I think that the fiscal policies on the

0:27:44.280 --> 0:27:48.520
<v Speaker 1>two sides are creating slightly different stories. At the moment,

0:27:49.080 --> 0:27:52.199
<v Speaker 1>the US will grow faster than Europe simply because of demographics.

0:27:52.200 --> 0:27:55.080
<v Speaker 1>I mean, there's no surprise about that. We know that.

0:27:55.480 --> 0:27:58.040
<v Speaker 1>But I think actually Europe's fiscal policy at the moment

0:27:58.200 --> 0:28:01.520
<v Speaker 1>is is clearly support. In the US, we've got this

0:28:02.000 --> 0:28:05.760
<v Speaker 1>cloud of uncertainty over the fiscal support. So this is

0:28:05.800 --> 0:28:08.960
<v Speaker 1>slightly contrarian porn. I stress this is relative to expectations

0:28:08.960 --> 0:28:11.560
<v Speaker 1>and anecdotally just the conversations we would have on a

0:28:11.560 --> 0:28:14.520
<v Speaker 1>program like this. But you seem less constructive on the

0:28:14.600 --> 0:28:19.520
<v Speaker 1>US recovery than say most Well, I'm still constructive. I mean,

0:28:19.560 --> 0:28:23.000
<v Speaker 1>the recovery carries on in the fourth quarter. I think though,

0:28:23.160 --> 0:28:27.280
<v Speaker 1>that we are seeing some damage to the recovery come

0:28:27.359 --> 0:28:31.560
<v Speaker 1>through from the um the indecisiveness over fiscal policy in

0:28:31.600 --> 0:28:34.359
<v Speaker 1>the United States. I mean, there are plenty of people

0:28:34.359 --> 0:28:37.840
<v Speaker 1>who are relatively secure in their jobs. They will continue

0:28:37.880 --> 0:28:40.320
<v Speaker 1>to spend, they'll spend down their savings. That's all great.

0:28:40.680 --> 0:28:42.920
<v Speaker 1>If you look at the employment participation in the States,

0:28:42.960 --> 0:28:46.320
<v Speaker 1>it's very interesting. The high skilled people, people who've got

0:28:46.320 --> 0:28:51.120
<v Speaker 1>college degrees, they've got pretty much normal employment participation. Low

0:28:51.160 --> 0:28:54.240
<v Speaker 1>skilled people, people who failed to graduate high school have

0:28:54.360 --> 0:28:59.160
<v Speaker 1>also got almost normal employment participation. The area where employment

0:28:59.200 --> 0:29:02.360
<v Speaker 1>has been weaker has been people who graduated high school

0:29:02.360 --> 0:29:04.800
<v Speaker 1>but did not go to college, and that, of course

0:29:04.880 --> 0:29:08.000
<v Speaker 1>is an area where you're likely to see quite a

0:29:08.000 --> 0:29:10.480
<v Speaker 1>lot of service sector jobs. These are the jobs which

0:29:10.520 --> 0:29:13.200
<v Speaker 1>are at risk in the Fourth Industrial Revolution. But that's

0:29:13.240 --> 0:29:16.240
<v Speaker 1>the area of weakness, and I would argue that fiscal

0:29:16.280 --> 0:29:19.560
<v Speaker 1>policy today is not doing much to help that particular

0:29:19.600 --> 0:29:23.480
<v Speaker 1>cohort in a way that perhaps it is helping in Europe.

0:29:23.720 --> 0:29:26.560
<v Speaker 1>On both sides of the Atlantic. However, in the US

0:29:26.720 --> 0:29:28.840
<v Speaker 1>and the UK and the rest of Europe, you're seeing

0:29:29.160 --> 0:29:31.640
<v Speaker 1>this bifurcation that you talked of earlier, you touched on

0:29:32.040 --> 0:29:35.040
<v Speaker 1>of big companies doing better or having a better chance

0:29:35.040 --> 0:29:38.600
<v Speaker 1>of surviving, while smaller businesses go out of business at

0:29:38.600 --> 0:29:41.440
<v Speaker 1>the fastest pace in some cases on record. And there

0:29:41.520 --> 0:29:43.720
<v Speaker 1>was a statistic in the Wall Street Journal over the

0:29:43.720 --> 0:29:49.040
<v Speaker 1>weekend showing that smaller businesses account for an incredibly shrinking

0:29:49.120 --> 0:29:52.200
<v Speaker 1>portion of overall employment in the US and around the world.

0:29:52.480 --> 0:29:56.800
<v Speaker 1>How much does that hamper global growth going forward? Well, now,

0:29:56.800 --> 0:29:58.600
<v Speaker 1>this I think is a really interesting issue because you're

0:29:58.680 --> 0:30:00.360
<v Speaker 1>quite right, of course, with seeing a lot and lots

0:30:00.360 --> 0:30:03.520
<v Speaker 1>of small businesses closed, but we're also seeing a phenomenal

0:30:03.600 --> 0:30:06.560
<v Speaker 1>pace of small business creation at the moment. I mean

0:30:06.680 --> 0:30:10.360
<v Speaker 1>it's it's absolutely staggering the rate of small business creation.

0:30:10.640 --> 0:30:12.680
<v Speaker 1>And it's not just the States. This is the UK,

0:30:12.880 --> 0:30:15.400
<v Speaker 1>this is France, this is Singapore, this is Japan. I mean,

0:30:15.440 --> 0:30:18.160
<v Speaker 1>it's it's across the board, and we're talking sort of

0:30:18.200 --> 0:30:21.480
<v Speaker 1>business creation rates of a hundred hundred and fifty percent growth.

0:30:21.680 --> 0:30:25.160
<v Speaker 1>I mean, these are not small numbers. So what I

0:30:25.200 --> 0:30:28.000
<v Speaker 1>think is going on here is we're seeing lots of

0:30:28.000 --> 0:30:32.320
<v Speaker 1>people set up individual businesses. Your single proprietors are setting

0:30:32.360 --> 0:30:35.240
<v Speaker 1>up businesses. You know, you've you've had some time to

0:30:35.720 --> 0:30:38.040
<v Speaker 1>reflect at home over the last few months, and you've

0:30:38.080 --> 0:30:40.680
<v Speaker 1>decided that you know, now is the time to start

0:30:40.720 --> 0:30:44.320
<v Speaker 1>selling your hand knitted sweaters on eBay, or you know

0:30:44.400 --> 0:30:48.200
<v Speaker 1>you're going to convert your TikTok account into merchandise sales

0:30:48.320 --> 0:30:51.400
<v Speaker 1>or whatever it is now. Then I think raises a

0:30:51.480 --> 0:30:54.600
<v Speaker 1>really interesting question about the future and about how we

0:30:54.640 --> 0:30:57.720
<v Speaker 1>think about employment, because I think we end up having

0:30:58.320 --> 0:31:02.000
<v Speaker 1>multiple in come streams become a lot more common. So

0:31:02.040 --> 0:31:04.760
<v Speaker 1>you'll have somebody who maybe has a job, full time job,

0:31:04.800 --> 0:31:07.480
<v Speaker 1>part time job, but then they've maybe got a sideline,

0:31:08.080 --> 0:31:12.480
<v Speaker 1>be that Airbnb or selling over social media, whatever it is,

0:31:12.640 --> 0:31:15.000
<v Speaker 1>and so you have these multiple income streams. So there

0:31:15.040 --> 0:31:18.800
<v Speaker 1>are positive as well as negative signals in business creation

0:31:18.880 --> 0:31:21.720
<v Speaker 1>at the moment. And I think that what we've got

0:31:21.760 --> 0:31:25.280
<v Speaker 1>to try and do is understand how the structural changes

0:31:25.320 --> 0:31:29.320
<v Speaker 1>of the economy which we're rapidly going through at the moment,

0:31:29.560 --> 0:31:33.000
<v Speaker 1>might actually be changing our concept about what it is

0:31:33.040 --> 0:31:36.760
<v Speaker 1>to actually be employed and how people actually get income

0:31:37.120 --> 0:31:40.840
<v Speaker 1>in the months and years ahead. Paul, great to catch

0:31:40.920 --> 0:31:43.280
<v Speaker 1>up that final topic that Lisa introduced really important. We

0:31:43.320 --> 0:31:45.760
<v Speaker 1>could continue this conversation for a long time. Paul Donovan

0:31:46.040 --> 0:31:53.600
<v Speaker 1>of Ubs. Paul, Thank you sir. This is a this

0:31:53.720 --> 0:31:57.040
<v Speaker 1>is too short in interview with the announcement of the

0:31:57.120 --> 0:32:01.560
<v Speaker 1>laureates today Mr Wilson and Mr milgn him, I simply

0:32:01.600 --> 0:32:05.040
<v Speaker 1>sent one note, get me Michael Spence, and of course

0:32:05.080 --> 0:32:08.040
<v Speaker 1>you know Mr Spence, Professor Spence, of course has spent

0:32:08.160 --> 0:32:10.920
<v Speaker 1>some generous time with us over the years. What you

0:32:11.000 --> 0:32:15.880
<v Speaker 1>may not know is arguably here reinvented graduate studies in

0:32:15.920 --> 0:32:19.560
<v Speaker 1>America with his work over a decade at Stanford. At

0:32:19.560 --> 0:32:23.000
<v Speaker 1>the time, it was absolutely historic. And rather than talk

0:32:23.080 --> 0:32:27.200
<v Speaker 1>about auction theory today we will talk about the wonderful

0:32:27.240 --> 0:32:30.720
<v Speaker 1>millia that is Palo Alto, California and what it did

0:32:30.760 --> 0:32:36.320
<v Speaker 1>for Robert Wilson in his PhD student Paul Milgram as well,

0:32:36.520 --> 0:32:39.440
<v Speaker 1>Michael Spence, thank you so much for joining us. A

0:32:39.520 --> 0:32:42.680
<v Speaker 1>special day for Wilson and Millgram. What is in the

0:32:42.800 --> 0:32:48.040
<v Speaker 1>air in Palo Alto. Yeah, well, it's a it's a

0:32:48.040 --> 0:32:51.960
<v Speaker 1>wonderful intellectual environment. And you know, I think Bob Wilson

0:32:52.000 --> 0:32:56.160
<v Speaker 1>deserves a lot of credit for that. You know, he

0:32:56.160 --> 0:32:59.200
<v Speaker 1>he brought along a whole lot of students, uh is

0:32:59.800 --> 0:33:03.360
<v Speaker 1>in allectual insight, in depth. It's extraordinary, just a very

0:33:03.400 --> 0:33:07.360
<v Speaker 1>exciting environment. I mean, there are others in other parts

0:33:07.360 --> 0:33:11.200
<v Speaker 1>of the country, but but that that this this is

0:33:11.240 --> 0:33:14.840
<v Speaker 1>a wonderful recognition of both of their work. But also

0:33:15.760 --> 0:33:20.160
<v Speaker 1>I think you're right, Tom, indirectly, it's a recognition of

0:33:19.240 --> 0:33:23.760
<v Speaker 1>the fertility of that intellectual environment. The word that is

0:33:23.760 --> 0:33:28.480
<v Speaker 1>so associated across degrees at Stanford is a strange word,

0:33:28.840 --> 0:33:31.600
<v Speaker 1>organizational And I you know, you go back to theory

0:33:31.600 --> 0:33:35.680
<v Speaker 1>of syndicates and Wilson seminal paper on all this, folks.

0:33:35.720 --> 0:33:38.680
<v Speaker 1>It was like Dylan at Newport, it was all original

0:33:39.120 --> 0:33:43.120
<v Speaker 1>when he did this in n What does organizational mean,

0:33:43.240 --> 0:33:49.680
<v Speaker 1>Professor Spence within the Stanford architecture, Well, I think you

0:33:49.720 --> 0:33:52.800
<v Speaker 1>know that the what what's the really special about the

0:33:52.800 --> 0:33:56.320
<v Speaker 1>work that's gone on there. You know, it's you know,

0:33:56.480 --> 0:34:02.280
<v Speaker 1>Paul and Bob Wilson, Dave krabt Uh, John Roberts who

0:34:02.320 --> 0:34:06.080
<v Speaker 1>was a co author with ru Paul Milgram. You know,

0:34:06.480 --> 0:34:09.480
<v Speaker 1>they brought theory to things that were talked about in

0:34:09.520 --> 0:34:13.080
<v Speaker 1>a kind of fuzzy way, theory and rigor uh the

0:34:13.200 --> 0:34:16.919
<v Speaker 1>things that we're talked about in UH in more general terms,

0:34:16.960 --> 0:34:18.440
<v Speaker 1>as I guess the way I would put it, Tom,

0:34:18.480 --> 0:34:22.720
<v Speaker 1>and it just had an enormous on on a wide

0:34:22.800 --> 0:34:26.560
<v Speaker 1>range of disciplines, especially economic on this special day, an

0:34:26.600 --> 0:34:31.279
<v Speaker 1>offspring of the Stanford experiment. Lisa Bramwoods, Lisa, you grew

0:34:31.360 --> 0:34:34.560
<v Speaker 1>up with this foolishness, right, Yes, my father got his

0:34:34.640 --> 0:34:38.239
<v Speaker 1>PhD at Stanford, and I will say theory ruled the

0:34:38.280 --> 0:34:41.200
<v Speaker 1>dining room table, and if you couldn't pass muster it

0:34:41.360 --> 0:34:44.240
<v Speaker 1>was well, it explains a lot. I will say, Uh,

0:34:44.280 --> 0:34:47.080
<v Speaker 1>you know, there is this question, uh though at this

0:34:47.200 --> 0:34:49.080
<v Speaker 1>at this point when we take a look at the

0:34:49.200 --> 0:34:52.560
<v Speaker 1>concept of auction theory, Paul, can you come in and

0:34:52.600 --> 0:34:55.480
<v Speaker 1>talk about why it's important. Some people might look at

0:34:55.480 --> 0:34:59.240
<v Speaker 1>this and say, isn't this somewhat peripheral. It's not, it's central.

0:34:59.320 --> 0:35:04.560
<v Speaker 1>Why Well, I mean, I think it's central because there's

0:35:04.560 --> 0:35:09.200
<v Speaker 1>because it's used to allocate some of the most important

0:35:10.200 --> 0:35:13.160
<v Speaker 1>resources that we have. I mean, there are private auctions,

0:35:13.200 --> 0:35:15.520
<v Speaker 1>you know, their auction housesn't all that. But I don't

0:35:15.560 --> 0:35:19.040
<v Speaker 1>think that's the reason it attracts the attention. That does.

0:35:19.080 --> 0:35:21.920
<v Speaker 1>The reason it attracts the attention is because we allocate

0:35:22.440 --> 0:35:26.560
<v Speaker 1>you know, the electromagnetic spectant doing this um in much

0:35:26.680 --> 0:35:30.400
<v Speaker 1>much more effective ways. So I think that's where you know,

0:35:30.719 --> 0:35:34.160
<v Speaker 1>enormous impact has come and what they've been recognized for

0:35:35.080 --> 0:35:39.680
<v Speaker 1>is having brought first theory and then real innovation how

0:35:39.719 --> 0:35:44.000
<v Speaker 1>these auctions are conducted. Professor Spence, one final question, you're

0:35:44.040 --> 0:35:46.240
<v Speaker 1>busy day. I know that that your phone is ringing

0:35:46.680 --> 0:35:49.960
<v Speaker 1>off the hook. To most of us, an auction is

0:35:50.000 --> 0:35:52.120
<v Speaker 1>in a James Bond movie where there's some piece of

0:35:52.200 --> 0:35:55.840
<v Speaker 1>artist Christie's or something he's being sold and all that.

0:35:56.000 --> 0:35:59.799
<v Speaker 1>But we live auctions each and every day. Are our

0:36:00.040 --> 0:36:05.040
<v Speaker 1>auctions changing because of the speed and depth of technology?

0:36:06.320 --> 0:36:10.719
<v Speaker 1>Oh absolutely, I mean I put up more generating tom

0:36:10.280 --> 0:36:15.440
<v Speaker 1>um markets, you know, including auction markets are changing because

0:36:15.480 --> 0:36:19.920
<v Speaker 1>of the vast quantity of information that's available at you know,

0:36:20.239 --> 0:36:24.279
<v Speaker 1>negligible costs that wasn't there before. And because of you

0:36:24.320 --> 0:36:27.759
<v Speaker 1>know what's now called artificial intelligence, that is the ability

0:36:28.320 --> 0:36:33.640
<v Speaker 1>to process that information. That's that's changing the informational structure

0:36:34.000 --> 0:36:37.160
<v Speaker 1>and a lot of the innovation in auction theory, tom

0:36:37.160 --> 0:36:41.760
<v Speaker 1>and Lisay has been you know, recognizing very particular characteristics

0:36:42.239 --> 0:36:47.000
<v Speaker 1>informational structural characteristics of different kinds of auction situations and

0:36:47.120 --> 0:36:51.360
<v Speaker 1>that and and digital technology is transforming that. Michael Spencer,

0:36:51.400 --> 0:36:55.080
<v Speaker 1>Philip Knight professor and Dean Emeritus, Stanford University from Align

0:36:55.160 --> 0:36:59.279
<v Speaker 1>Italy Today on Wilson and Michael Spence, thank you so

0:36:59.360 --> 0:37:02.200
<v Speaker 1>much for joining us here on short notice. Thanks for

0:37:02.280 --> 0:37:06.680
<v Speaker 1>listening to the Bloomberg Surveillance podcast. Subscribe and listen to

0:37:06.840 --> 0:37:12.600
<v Speaker 1>interviews on Apple Podcasts, SoundCloud, or whichever podcast platform you prefer.

0:37:13.120 --> 0:37:16.480
<v Speaker 1>I'm on Twitter at Tom Keene before the podcast. You

0:37:16.520 --> 0:37:19.920
<v Speaker 1>can always catch us worldwide. I'm Bloomberg Radio