WEBVTT - What We Can Learn About Market Liquidity By Looking At Everyday Life

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<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 1>I'm Joe Wysn't and I'm Tracy Alloway. You know, it's

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<v Speaker 1>really fun last week, you know, really enjoyed getting to

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<v Speaker 1>record an episode in person for once. But now, of

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<v Speaker 1>course we're back to our normal ways. It's it's very sad.

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<v Speaker 1>I miss you, Joe likewise, and here we are recording

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<v Speaker 1>a podcast on opposite sides of the world. But okay,

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<v Speaker 1>moving on today, I think we're going to be talking

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<v Speaker 1>about something that we've covered in a few episodes and

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<v Speaker 1>that I think is one of your favorite themes. Okay,

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<v Speaker 1>because you said that, I know exactly what it is. Um,

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<v Speaker 1>so we don't have to play the guessing game like

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<v Speaker 1>we sometimes do. No. Um, it's liquidity, right right? Why

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<v Speaker 1>is this one of your favorite topics? It's funny, we've

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<v Speaker 1>talked about it a lot, like the sort of it's

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<v Speaker 1>particularly the bond market, bond market, liquidity, the market structure.

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<v Speaker 1>We've talked about it a lot, but I guess I've

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<v Speaker 1>never asked why is this a subject of such fascination

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<v Speaker 1>for you? Okay, I can tell you exactly why, because

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<v Speaker 1>liquidity is almost the essence of markets. Like, if you

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<v Speaker 1>think that a really simple definition of liquidity is the

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<v Speaker 1>ease of buying or selling something maybe without affecting its

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<v Speaker 1>price too much, that's exactly what markets are, right. And

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<v Speaker 1>the other thing is you get all these really interesting

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<v Speaker 1>um motivational dynamics at play and lots of design issues,

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<v Speaker 1>And even though you can think of the perfect market

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<v Speaker 1>structure to suit a partricular asset class or transaction, there

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<v Speaker 1>might be different players involved who don't want to see

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<v Speaker 1>that market structure come to fruition. So it's it's a

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<v Speaker 1>fantastic mix of human behavior and markets, I think. So basically,

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<v Speaker 1>this idea of liquidity the ease with which one can

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<v Speaker 1>buy or sell an asset at a given price, if

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<v Speaker 1>we can understand why it exists or why it doesn't,

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<v Speaker 1>then we could sort of understand the entire structure of

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<v Speaker 1>the market, who the different players are, what their different

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<v Speaker 1>motivations are, etcetera. That's exactly right. Are you telling me

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<v Speaker 1>we have someone on the show today who knows the

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<v Speaker 1>answer to this question. Well, we might, I don't know,

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<v Speaker 1>really have the answer, but we're going to try and

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<v Speaker 1>get a closer to the answer. But I think we're

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<v Speaker 1>gonna do it in a cool way because obviously, normally,

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<v Speaker 1>you know, we might talk to someone and we have

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<v Speaker 1>who's like an expert in how the bond market works

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<v Speaker 1>or stock market structure. Today we're going to talk about

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<v Speaker 1>how this concept of liquidity and market structure exists in

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<v Speaker 1>our everyday lives, so not just in what we call

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<v Speaker 1>financial markets, but in the sort of how we how

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<v Speaker 1>we see this concept everywhere and the things we buy,

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<v Speaker 1>transact in, etcetera. That sounds absolutely amazing, and I hope

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<v Speaker 1>we can come up with some real life parallels for

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<v Speaker 1>for instance, lack of liquidity in the corporate ball market.

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<v Speaker 1>That's what I'm hoping for. I'm hoping that by understanding

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<v Speaker 1>how liquidity exists in everyday life or lack of it,

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<v Speaker 1>that we can then translate that back into maybe some

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<v Speaker 1>new insight into the financial world. So, without a further ado,

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<v Speaker 1>I want to bring in our guest. His name is

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<v Speaker 1>Karthik Shah Shudar. He is the author of Between the

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<v Speaker 1>Buyer and the Seller, a book that examines some of

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<v Speaker 1>these topics. Karthik, thank you very much for joining the

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<v Speaker 1>Odd Lots podcast. Hi to Hi Trizzy. I'm glad to

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<v Speaker 1>be here. So Karthik, What did you think about our introduction?

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<v Speaker 1>Did you think that Tracy's explanation for why liquidity is

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<v Speaker 1>such an important aspect of the market to understand sort

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<v Speaker 1>of parallels with why this interests you? Absolutely? I think

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<v Speaker 1>she's kind of bang on, and I think the definition

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<v Speaker 1>of liquidity she used is also like precisely the one

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<v Speaker 1>that I use in my book. But yes, liquidity, I

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<v Speaker 1>think is an important topic because it's it's around us everybody.

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<v Speaker 1>It's around us in pretty much every market that we

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<v Speaker 1>happen to transact in on a daily basis, and like

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<v Speaker 1>as Stacy just explained, it's a wonderful combination of markets

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<v Speaker 1>and human behaviors. So we always used to write that

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<v Speaker 1>liquidity is kind of a nebulous concept and people have

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<v Speaker 1>different definitions of good and bad liquidity, So why don't

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<v Speaker 1>we just jump right into it to clarify the concept,

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<v Speaker 1>give us a real life example where liquidity is an

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<v Speaker 1>issue or that tells us about one specific aspect of liquidity.

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<v Speaker 1>So I'll start with liquidity itself. I'll start to the

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<v Speaker 1>quote that I have that I begin my book with.

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<v Speaker 1>It's by Michael Lewis, and it's from Flashboys and He

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<v Speaker 1>says liquidity was one of those words Wall Street people

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<v Speaker 1>through around when they wanted the conversation to end and

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<v Speaker 1>for brains to go or date and for all questioning

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<v Speaker 1>to cease. This book is basically an attempt to kind

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<v Speaker 1>of like dake liquidity beyond its kind of Wall Street origins.

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<v Speaker 1>I myself have a little bit of a background in

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<v Speaker 1>Wall Street type. Briefly, you work for a couple of

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<v Speaker 1>years at Goldman Sacks, and now I'm working in the

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<v Speaker 1>financial services industry, working for a company called our Kra

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<v Speaker 1>where we're trying to revolutionize how client engagement has done

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<v Speaker 1>in investrent banks. That aside, I think to come coming

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<v Speaker 1>back to liquidity, to take a very simple example that

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<v Speaker 1>I think a lot of us kind of deal with

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<v Speaker 1>every day. UH. It's to do with the market for

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<v Speaker 1>uh what it call is motorized local transportation. That's cabs

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<v Speaker 1>and cab like uh instrument pretty much everywhere. So one

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<v Speaker 1>of the biggest kind of UH. It was actually one

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<v Speaker 1>of the motivations from my book in terms of like

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<v Speaker 1>one of the markets that have seen a massive revolution

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<v Speaker 1>and liquidity is the way is the cab market well,

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<v Speaker 1>which I kind of existed in the fairly low level

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<v Speaker 1>equilibrium for a lot of years. I mean different the

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<v Speaker 1>regulation was different in different cities, but pretty much each

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<v Speaker 1>city was broken in one way or the other. Like

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<v Speaker 1>for example, in a lot a lot of cities in

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<v Speaker 1>India where I come from, Uh, it's common for taxi

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<v Speaker 1>drivers to refuse you are right once they know where

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<v Speaker 1>you want to go. Or for example, if taking the

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<v Speaker 1>example of New York City in the mornings, if you're

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<v Speaker 1>trying to take a taxi from midtown to downtown, it's

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<v Speaker 1>highly unlikely that you're going to find one. This is

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<v Speaker 1>a market which was kind of very, very inefficient. It

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<v Speaker 1>was people. I tried to regulate it in the in

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<v Speaker 1>a whole lot of ways, but like none of it

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<v Speaker 1>had really worked out. And then comes along this company

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<v Speaker 1>called Uber, which using an app and using this concept

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<v Speaker 1>of dynamic pricing, which is highly controversial, but I mean

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<v Speaker 1>I I absolutely love it by the way they have

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<v Speaker 1>kind of changed the way, changed the taken the liquidity

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<v Speaker 1>in the cap market to a whole new level. So

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<v Speaker 1>there's several ways. I think obviously it's great that we're

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<v Speaker 1>starting with the Uber discussion because it's probably one of

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<v Speaker 1>the most clear ways in modern life in which something

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<v Speaker 1>we just took for granted. Uh, you know, putting out

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<v Speaker 1>your hand and getting a taxi is really a sort

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<v Speaker 1>of quasi financial market, and the new market has changed.

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<v Speaker 1>So there's dynamic pricing. There's the fact that you know,

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<v Speaker 1>the ubers have to take you everywhere. You can sort

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<v Speaker 1>of see the supply that's on the road more vividly,

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<v Speaker 1>because you know, you're not just sort of wondering when

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<v Speaker 1>a cab is going to come around. You can set

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<v Speaker 1>up timing very well in your view. Hey, what is

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<v Speaker 1>the most sort of radical thing about Uber? Perhaps it's

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<v Speaker 1>the dynamic pricing. And then you know, since we're looking

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<v Speaker 1>for financial market lessons, what is sort of is there

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<v Speaker 1>an Uber equivalent in the world of finance that we

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<v Speaker 1>could say, Okay, this thing that Uber does is similar

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<v Speaker 1>to this on an exchange. Good question. So the first

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<v Speaker 1>party guard bangled. I think the most important part of

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<v Speaker 1>is UH dynamic pricing in the financial markets. I can't

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<v Speaker 1>think of a direct parallel right now. I can't think

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<v Speaker 1>of a direct part where like where let's say an

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<v Speaker 1>intermediary Uber is also an intermediary between the cab driver

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<v Speaker 1>and the passenger, where an intermediary uses kind of dynamic

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<v Speaker 1>pricing to kind of, uh make the markets more efficient

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<v Speaker 1>for everyone. I think UBER one of the work of

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<v Speaker 1>the taxi market is that, like it's extremely fragmented when

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<v Speaker 1>it comes to both space and time. Like the market

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<v Speaker 1>that you see is limited by the taxis that are

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<v Speaker 1>you as a passenger, you see the taxis around you

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<v Speaker 1>at that point in time. So there's massive fragmentation on

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<v Speaker 1>two dimensions, and that kind of fragmentation. I mean you

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<v Speaker 1>can say that like even the regular stockore bond markets

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<v Speaker 1>have that kind of fragmentation because they are like there

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<v Speaker 1>are like you have like multiple venues and you have

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<v Speaker 1>like kind of there is fragmentation through the day because

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<v Speaker 1>there are some market makers who operate more heavily at

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<v Speaker 1>different times of the day and volume changes through the

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<v Speaker 1>day and so on. But the key difference between Uber

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<v Speaker 1>and the kind of first stock market is that, like

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<v Speaker 1>in a stock market, by providing supplying supply in one place,

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<v Speaker 1>you're not taking supply away from another place. So for example,

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<v Speaker 1>if if I am Golden SAX and I'm participating right

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<v Speaker 1>now in the New York Stock Exchange, that doesn't come

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<v Speaker 1>at the cost of my participation at this point of

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<v Speaker 1>time in ASDAC, if I had to kind of choose

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<v Speaker 1>between one or the other, then like it would have

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<v Speaker 1>been more like Uber. So in that sense, I feel

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<v Speaker 1>like I got It's hard to at this moment draw

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<v Speaker 1>a direct parallel between between Uber and financial markets, because

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<v Speaker 1>Uber is a far more complex problem. I would say.

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<v Speaker 1>So Uber is a great example of a sort of

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<v Speaker 1>technological change that has arguably boosted liquidity or the availability

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<v Speaker 1>of a certain service. But there are existing assets or

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<v Speaker 1>services out there that have also resisted technological change, UM,

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<v Speaker 1>And I think you brought one of them up in

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<v Speaker 1>your book, And I'm particularly interested in this. The real

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<v Speaker 1>estate market, the concept of all these real estate agents

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<v Speaker 1>who find you a house or an apartment. There have

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<v Speaker 1>been multiple attempts to make that market more liquid, either

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<v Speaker 1>with online platforms or some other new big ideas, and

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<v Speaker 1>they seem to have largely failed. So why is it

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<v Speaker 1>that liquidity hasn't come to the property market and we

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<v Speaker 1>all still have to pay, you know, obscene commissions to

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<v Speaker 1>New York real estate agents. The thing with the real

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<v Speaker 1>estate market, UM, is that like the way in which

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<v Speaker 1>the new players like take somebody like a rape frill

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<v Speaker 1>in the U S or housing in India. The way

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<v Speaker 1>they are approaching the market is very different from how

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<v Speaker 1>your local real estate agent approaches the market. So here

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<v Speaker 1>I bring in an analogy in the book from the

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<v Speaker 1>Financial market Tan right to distinct between what I call

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<v Speaker 1>us brokers and clearing houses for this podcast audience, I

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<v Speaker 1>don't think I need to explain those two terms, so

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<v Speaker 1>the difference between your tradition. Actually, I do think a

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<v Speaker 1>quick definition of the two terms would be able to focus.

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<v Speaker 1>I get confused myself, and I think I suspect we

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<v Speaker 1>have a lot of listeners that would like a clarification. Okay,

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<v Speaker 1>So broker's basically take a mandate on behalf of a

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<v Speaker 1>client and take responsibility for executing the trade on behalf

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<v Speaker 1>of the client. Clearing Houses, on the other hand, don't

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<v Speaker 1>really take them, but they don't work for a particular client.

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<v Speaker 1>They just provide a platform where clients can come on

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<v Speaker 1>and find each other and transact. So the way the

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<v Speaker 1>traditional real estate industry has been set up with the

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<v Speaker 1>broker's brokers and brokers they take a mandate from me.

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<v Speaker 1>They I tell them I want a two bedroom apartment

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<v Speaker 1>on the Upper West Side and I'm willing to pay

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<v Speaker 1>up to two tho dollars a month, and they will

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<v Speaker 1>take that mandate and possibly try and find me how

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<v Speaker 1>if one exists, if there is a supply for it,

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<v Speaker 1>and so on. On the other hand, if you take

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<v Speaker 1>something like housing and taking any Indian example, because that's

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<v Speaker 1>that's what I'm most familiar with, but what they do

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<v Speaker 1>is it's an online portal where I, as a seller

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<v Speaker 1>of a house or a landlord, can list my house,

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<v Speaker 1>and you, as a buyer or a tenant, can come

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<v Speaker 1>and search for listings. So so red fin or Housing

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<v Speaker 1>doesn't take a mandate on behalf of the client, so

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<v Speaker 1>they just kind of enabled transactions. And what happens because

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<v Speaker 1>of that in the real estate market because like no

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<v Speaker 1>two houses are similar, and there's a lot of a

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<v Speaker 1>lot of quirks, and like people have weird preferences. I

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<v Speaker 1>think what's happened is that, like it's very hard for

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<v Speaker 1>the clearinghouse to kind of really offer the precise, like

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<v Speaker 1>offer a really short list. So if you want, if

0:12:54.920 --> 0:12:58.679
<v Speaker 1>you have a particulars a set of preferences, and you

0:12:58.760 --> 0:13:01.480
<v Speaker 1>might put in the filters on the website and you'll

0:13:01.480 --> 0:13:04.199
<v Speaker 1>get a really long list. In the effort required and

0:13:04.320 --> 0:13:06.880
<v Speaker 1>going through that and and eliminating the stuff that you

0:13:07.040 --> 0:13:10.800
<v Speaker 1>don't want as pretty high. So on the other hand,

0:13:10.800 --> 0:13:14.360
<v Speaker 1>a broker as as a human being, his advantage over

0:13:14.400 --> 0:13:18.120
<v Speaker 1>the platform is that, like he can really represent you.

0:13:18.120 --> 0:13:21.720
<v Speaker 1>You can clearly communicate to him what you're what you're

0:13:21.760 --> 0:13:25.880
<v Speaker 1>looking for, and he can kind of find you precisely

0:13:25.960 --> 0:13:28.960
<v Speaker 1>that kind of UH deal and so on. So in

0:13:29.040 --> 0:13:32.360
<v Speaker 1>that sense, they have been able to add value. And also,

0:13:32.440 --> 0:13:34.240
<v Speaker 1>as I mentioned in the book, especially in the India,

0:13:35.080 --> 0:13:38.560
<v Speaker 1>brokers have kind of leveraged these online platforms because they

0:13:38.679 --> 0:13:41.160
<v Speaker 1>I mean, it always happens in the stock market where

0:13:41.400 --> 0:13:44.880
<v Speaker 1>your local broker goes and participates on your behalf on

0:13:45.000 --> 0:13:48.240
<v Speaker 1>the New York Stock Exchange. So similarly, in the property

0:13:48.240 --> 0:13:51.320
<v Speaker 1>market you have brokers taking their clients mandate and going

0:13:51.360 --> 0:13:55.080
<v Speaker 1>to one of these UH websites to find a deep

0:14:05.559 --> 0:14:09.960
<v Speaker 1>It is interesting hearing this explanation because, you know, once

0:14:09.960 --> 0:14:13.480
<v Speaker 1>again going back to sort of traditional financial markets, one

0:14:13.520 --> 0:14:17.040
<v Speaker 1>of the themes that we've talked about is UH. You know,

0:14:17.120 --> 0:14:20.560
<v Speaker 1>the degree to which the bond market is characterized by

0:14:20.600 --> 0:14:24.160
<v Speaker 1>such a greater diversity of instruments than the stock market.

0:14:24.640 --> 0:14:27.800
<v Speaker 1>And so hearing you explain, you know, each each apartment

0:14:28.040 --> 0:14:30.280
<v Speaker 1>or house that someone would want to buy is probably

0:14:30.280 --> 0:14:32.680
<v Speaker 1>going to be a little different, even if they're sort

0:14:32.680 --> 0:14:35.920
<v Speaker 1>of can be grouped in general categories. The you know,

0:14:35.960 --> 0:14:39.200
<v Speaker 1>there's not any two apartments are not as fungible the

0:14:39.240 --> 0:14:41.320
<v Speaker 1>way you know, sort of every other every share of

0:14:41.360 --> 0:14:45.960
<v Speaker 1>Microsoft is basically identical. Wait, so, I mean, I've heard

0:14:45.960 --> 0:14:50.160
<v Speaker 1>that explanation for bond market um issues and it makes

0:14:50.160 --> 0:14:53.280
<v Speaker 1>some sense. But the other thing to consider, and I'm

0:14:53.280 --> 0:14:55.600
<v Speaker 1>pretty sure we've talked about it at various points on

0:14:55.640 --> 0:14:59.400
<v Speaker 1>all thoughts, is the motivation of the players involved. So

0:14:59.480 --> 0:15:01.480
<v Speaker 1>a lot of people will say that the bond market

0:15:01.640 --> 0:15:05.840
<v Speaker 1>is resistant to change because, for instance, the big dealer banks,

0:15:05.880 --> 0:15:08.240
<v Speaker 1>the guys that buy and sell bonds on behalf of

0:15:08.240 --> 0:15:11.360
<v Speaker 1>their clients, don't want to give up a really lucrative

0:15:11.640 --> 0:15:15.920
<v Speaker 1>form of commission. So cartex I'm just wondering, in terms

0:15:15.920 --> 0:15:20.800
<v Speaker 1>of everyday examples of market structures or liquidity, is there

0:15:20.840 --> 0:15:24.760
<v Speaker 1>one that springs to mind where the participants in it

0:15:24.920 --> 0:15:29.280
<v Speaker 1>have been, you know, basically unmotivated to change their ways.

0:15:30.160 --> 0:15:32.560
<v Speaker 1>I'd probably go back to the kind of the taxi

0:15:32.640 --> 0:15:35.680
<v Speaker 1>example because in a uber obviously you know what, it's

0:15:35.680 --> 0:15:39.720
<v Speaker 1>been fairly controversial in London where it now live. Ugle

0:15:39.800 --> 0:15:44.120
<v Speaker 1>kind of has been effectively banned in its uh fairly

0:15:44.160 --> 0:15:46.640
<v Speaker 1>recently and as a huge controversy going on over there

0:15:46.960 --> 0:15:49.080
<v Speaker 1>and there. I think it's more to do with the

0:15:49.120 --> 0:15:52.520
<v Speaker 1>fact that the fact that the traditional taxi industry has been,

0:15:52.600 --> 0:15:54.720
<v Speaker 1>like they have immense lob being power, and they have

0:15:54.800 --> 0:15:58.280
<v Speaker 1>been kind of resistant to change in terms of like

0:15:58.400 --> 0:16:01.560
<v Speaker 1>they have been, uh, have been a few ways in

0:16:01.560 --> 0:16:04.120
<v Speaker 1>which they have been in afficiate, Like for example, even

0:16:04.160 --> 0:16:07.360
<v Speaker 1>in the most well regulated markets, you have the problems

0:16:07.400 --> 0:16:10.640
<v Speaker 1>of taxis not wanting to go into certain parts of town,

0:16:10.680 --> 0:16:15.120
<v Speaker 1>that and so on, so so from so, what's happened

0:16:15.120 --> 0:16:17.080
<v Speaker 1>there is that, Like, I mean, one of the reasons

0:16:17.080 --> 0:16:19.960
<v Speaker 1>you see the regulatory backlash against Tuba is because the

0:16:20.040 --> 0:16:23.280
<v Speaker 1>incumbents kind of are kind of afraid of this threat

0:16:23.280 --> 0:16:25.680
<v Speaker 1>time they want to kind of because they're sitting on

0:16:25.800 --> 0:16:29.160
<v Speaker 1>fairly valuable assets. They're not valuable assets in terms of

0:16:29.200 --> 0:16:31.800
<v Speaker 1>like as intermediaries, which is what it is with the

0:16:31.840 --> 0:16:33.760
<v Speaker 1>banks in the bond market. Here. It more it is

0:16:33.800 --> 0:16:36.360
<v Speaker 1>in terms of like they're sitting in terms of valuable

0:16:36.400 --> 0:16:39.320
<v Speaker 1>assets as the right to sell in this particular market,

0:16:39.400 --> 0:16:43.160
<v Speaker 1>think of the New York taxi Medalian for example. So

0:16:43.160 --> 0:16:47.680
<v Speaker 1>so so they have been stymying all efforts to kind

0:16:47.680 --> 0:16:51.800
<v Speaker 1>of reform the markets because of their unwillingness to change.

0:16:51.920 --> 0:16:54.400
<v Speaker 1>But but yeah, but because we were shown away out

0:16:54.440 --> 0:16:58.080
<v Speaker 1>in terms of like it's increasing efficiency, it might not

0:16:58.320 --> 0:17:02.200
<v Speaker 1>be very h that might not be a fight that

0:17:02.280 --> 0:17:06.720
<v Speaker 1>might last too long, hopefully. Let's see now speaking of

0:17:06.840 --> 0:17:10.399
<v Speaker 1>real estate, Um, one of the you know, with the

0:17:10.520 --> 0:17:13.720
<v Speaker 1>rise of the Internet, one of the big theories that

0:17:13.840 --> 0:17:18.199
<v Speaker 1>people had was that geography would be destroyed. So we

0:17:18.240 --> 0:17:20.440
<v Speaker 1>can all work from anywhere. We could work from home,

0:17:20.520 --> 0:17:23.679
<v Speaker 1>we could work from wherever, So there's no reason to

0:17:23.960 --> 0:17:27.080
<v Speaker 1>live in New York or Silicon Valley or Washington, d C.

0:17:27.560 --> 0:17:31.000
<v Speaker 1>Or l A. And yet the opposite seems to have happened,

0:17:31.040 --> 0:17:33.000
<v Speaker 1>and you wrote about you write about this in your book,

0:17:33.000 --> 0:17:36.240
<v Speaker 1>where in fact, people, you know, cities and urban centers

0:17:36.240 --> 0:17:39.639
<v Speaker 1>have become even more and more important for the economy.

0:17:39.680 --> 0:17:43.600
<v Speaker 1>Despite what sort of this theory of disrupting geography would say,

0:17:44.000 --> 0:17:46.840
<v Speaker 1>what what happened there? Why has that idea that the

0:17:46.880 --> 0:17:51.919
<v Speaker 1>Internet would sort of subvert traditional geography not really played out? Okay,

0:17:52.280 --> 0:17:55.080
<v Speaker 1>so I think what we kind of ignored us in

0:17:55.160 --> 0:17:58.680
<v Speaker 1>terms of to use some Silicon Valley speak here, uh

0:17:58.800 --> 0:18:01.800
<v Speaker 1>that cit saide if it to leave platforms. Cities can

0:18:01.840 --> 0:18:05.399
<v Speaker 1>be viewed as platforms that connect employees on one side

0:18:05.400 --> 0:18:09.240
<v Speaker 1>and businesses on the other, and like at a different level,

0:18:09.320 --> 0:18:13.080
<v Speaker 1>they connect consumers of local goods and services to produce

0:18:13.160 --> 0:18:15.840
<v Speaker 1>us of local goods and services such as restaurants and

0:18:15.880 --> 0:18:18.399
<v Speaker 1>so on. But we leave that aside right now. So

0:18:18.480 --> 0:18:24.199
<v Speaker 1>what people had kind of vastly underestimated was the importance

0:18:24.200 --> 0:18:28.800
<v Speaker 1>of proximity in terms of getting work done and so on.

0:18:28.880 --> 0:18:32.200
<v Speaker 1>So what people have assumed is that with Internet there

0:18:32.280 --> 0:18:35.199
<v Speaker 1>is going to be like there is, it is going

0:18:35.280 --> 0:18:39.320
<v Speaker 1>to be possible to kind of uh communicate seepless Lee

0:18:40.160 --> 0:18:43.200
<v Speaker 1>across great distances, and so you can sit in your

0:18:43.359 --> 0:18:47.240
<v Speaker 1>farm and Wyoming and kind of work the same way

0:18:47.359 --> 0:18:50.439
<v Speaker 1>as somebody sitting in his office in San Francisco can.

0:18:50.560 --> 0:18:54.199
<v Speaker 1>So I think that was something people assumed and that

0:18:54.280 --> 0:18:56.439
<v Speaker 1>has not come to be because like, there is always

0:18:56.480 --> 0:18:59.639
<v Speaker 1>a transaction cost involved in talking to somebody who's not

0:19:00.560 --> 0:19:02.840
<v Speaker 1>next to you, So you'll have either have to call

0:19:02.960 --> 0:19:05.960
<v Speaker 1>the tye and make sure he understands what you're saying,

0:19:06.040 --> 0:19:08.879
<v Speaker 1>and there can be various kind of places where like

0:19:09.040 --> 0:19:13.919
<v Speaker 1>coordination across distance can kind of falter. And because of that,

0:19:14.040 --> 0:19:18.359
<v Speaker 1>I think, like people companies have recognized the recognized the

0:19:18.480 --> 0:19:21.359
<v Speaker 1>need to kind of be in one place and so on,

0:19:21.400 --> 0:19:25.119
<v Speaker 1>and so you have like the despite how expensive San

0:19:25.160 --> 0:19:28.240
<v Speaker 1>Francisco has gotten nowadays, like people still continue to move

0:19:28.280 --> 0:19:30.520
<v Speaker 1>to the Bay Area and so on, because that's where

0:19:30.560 --> 0:19:34.280
<v Speaker 1>the kind of the liquid market for the skills that

0:19:34.320 --> 0:19:37.800
<v Speaker 1>people have. This is making me feel bad about working

0:19:37.840 --> 0:19:42.360
<v Speaker 1>from our Abu Dhabi satellite office of my living room.

0:19:42.960 --> 0:19:47.880
<v Speaker 1>Um Karthik, I have a slightly more theoretical question for you,

0:19:48.280 --> 0:19:52.800
<v Speaker 1>to what extent do systems of buying and selling reflect

0:19:53.400 --> 0:19:57.080
<v Speaker 1>the nature of the underlying assets, Like if you have

0:19:57.119 --> 0:20:00.919
<v Speaker 1>a bunch of really diverse things that are actual that fungible,

0:20:01.560 --> 0:20:06.000
<v Speaker 1>and to what extent do they reflect the nature and

0:20:06.040 --> 0:20:10.440
<v Speaker 1>the motivations of the parties involved, and which one would

0:20:10.440 --> 0:20:14.480
<v Speaker 1>you give more weight to. That's not a very easy

0:20:14.560 --> 0:20:18.240
<v Speaker 1>question to answer. I think it's it's highly interdependent. I

0:20:18.280 --> 0:20:22.680
<v Speaker 1>think how a market has developed historically is a function

0:20:22.720 --> 0:20:25.840
<v Speaker 1>of the kind of assets that are being created in

0:20:25.880 --> 0:20:29.840
<v Speaker 1>that market. So, for example, I think one of the

0:20:30.520 --> 0:20:33.199
<v Speaker 1>one of the if you have things that are like

0:20:33.280 --> 0:20:36.520
<v Speaker 1>easily fungible, which is easy for a lot of people

0:20:36.560 --> 0:20:39.359
<v Speaker 1>to provide. You would have seen that the market would

0:20:39.359 --> 0:20:43.879
<v Speaker 1>have evolved such that like the overall transaction cost and

0:20:44.040 --> 0:20:49.560
<v Speaker 1>even the overall transaction cost is pretty low because because

0:20:49.600 --> 0:20:53.479
<v Speaker 1>competition drives the bittern ask close together when you have

0:20:53.600 --> 0:20:56.360
<v Speaker 1>lots of products which are pungible, which can be easily treated.

0:20:56.760 --> 0:20:58.960
<v Speaker 1>On the other hand, I think that this is something

0:20:59.000 --> 0:21:01.199
<v Speaker 1>I talk about in my in the first chapter in

0:21:01.200 --> 0:21:05.159
<v Speaker 1>my book, which unfortunately you're my u S readers may

0:21:05.160 --> 0:21:09.040
<v Speaker 1>not really appreciate. It's about the markets in football players.

0:21:09.080 --> 0:21:13.280
<v Speaker 1>Football as an association football, where you have because the

0:21:13.320 --> 0:21:17.080
<v Speaker 1>players are not fungible at all, No two players, especially

0:21:17.080 --> 0:21:19.080
<v Speaker 1>at the highest level, are very similar to each other.

0:21:19.520 --> 0:21:24.640
<v Speaker 1>You see the deals that happen that are either extremely expensive.

0:21:24.720 --> 0:21:27.840
<v Speaker 1>We had recently a case of a footballer going UH

0:21:28.680 --> 0:21:31.840
<v Speaker 1>for some two hundred million euros between a club in

0:21:31.880 --> 0:21:33.840
<v Speaker 1>Spain and a club in France. So it's like, on

0:21:33.920 --> 0:21:36.600
<v Speaker 1>the other hand, you can have equally highly rated footballer

0:21:36.680 --> 0:21:40.080
<v Speaker 1>is moving between clubs without any transfer feedboard, so it's

0:21:40.080 --> 0:21:44.040
<v Speaker 1>a highly uh. The kind of when you have less

0:21:44.119 --> 0:21:48.120
<v Speaker 1>fungible kind of assets, the you the deals take place

0:21:48.160 --> 0:21:49.800
<v Speaker 1>at either the bit or the ask and sol like

0:21:49.880 --> 0:21:52.520
<v Speaker 1>you have a very a bit of a crazy market.

0:21:53.200 --> 0:21:58.000
<v Speaker 1>But I think that the that actually drives the behavior

0:21:58.280 --> 0:22:01.840
<v Speaker 1>of the that drives behavior of the intermediaries. I mean, like,

0:22:02.160 --> 0:22:05.359
<v Speaker 1>if you're let's say, an intermediary who if you're making

0:22:05.440 --> 0:22:09.399
<v Speaker 1>market in markets and stocks, and you decide to behave

0:22:09.440 --> 0:22:13.800
<v Speaker 1>as if like stocks are the stocks are a non

0:22:13.840 --> 0:22:18.080
<v Speaker 1>fungible item, might try to charge high bid asks rates

0:22:18.119 --> 0:22:20.320
<v Speaker 1>and things like, you will be easily priced out of

0:22:20.359 --> 0:22:23.560
<v Speaker 1>the market. So I think it's the nature of the

0:22:23.640 --> 0:22:29.280
<v Speaker 1>asset that's been traded that drives the nature of the market. Okay,

0:22:29.040 --> 0:22:32.680
<v Speaker 1>I want to ask about another what one might call

0:22:32.800 --> 0:22:38.280
<v Speaker 1>a market in which no two of the assets are fungible,

0:22:38.800 --> 0:22:42.600
<v Speaker 1>but which has been massively disrupted by the Internet, and

0:22:42.680 --> 0:22:45.679
<v Speaker 1>that is the dating market or the marriage market, or

0:22:45.680 --> 0:22:49.320
<v Speaker 1>whatever you want to call it. Obviously extraordinary change in

0:22:49.400 --> 0:22:51.960
<v Speaker 1>behavior with the rise of Tinder, where someone can just

0:22:52.000 --> 0:22:54.760
<v Speaker 1>sit on their phone and arrange numerous dates in the

0:22:54.800 --> 0:22:57.760
<v Speaker 1>span of a few seconds or minutes. As far as

0:22:57.800 --> 0:22:59.760
<v Speaker 1>I know, I've never you know, I've never used it.

0:22:59.800 --> 0:23:05.320
<v Speaker 1>But yeah, whatever, I'm way too Oh, I'm way too

0:23:05.320 --> 0:23:08.679
<v Speaker 1>I'm way too all I missed all of it versus

0:23:08.720 --> 0:23:10.960
<v Speaker 1>the old days, where I guess theoretically you had to

0:23:11.080 --> 0:23:13.600
<v Speaker 1>go to a bar and it was very slow, cumbersome

0:23:13.840 --> 0:23:18.520
<v Speaker 1>process to meet people in theoretically arrange dates. Tell us

0:23:18.560 --> 0:23:21.320
<v Speaker 1>about this market, what are some of the lessons we

0:23:21.359 --> 0:23:24.879
<v Speaker 1>can learn in a liquidity from the way from the

0:23:25.320 --> 0:23:28.879
<v Speaker 1>dating market? So the dating market is again quite uh,

0:23:29.280 --> 0:23:33.000
<v Speaker 1>quite interesting, especially the way it has kind of ill

0:23:33.040 --> 0:23:35.280
<v Speaker 1>again think the Indian example, because it's a bit more

0:23:35.440 --> 0:23:39.000
<v Speaker 1>interesting and less liquid than I think in other places.

0:23:39.320 --> 0:23:42.200
<v Speaker 1>What do you have in India is because of historical

0:23:42.359 --> 0:23:46.760
<v Speaker 1>or cultural works, there's a massive gender imbalance on on

0:23:46.760 --> 0:23:50.040
<v Speaker 1>on apps such as the Tinder, So I think it's

0:23:50.200 --> 0:23:53.600
<v Speaker 1>uh somewhere around eighty twenty or in favor of men

0:23:53.840 --> 0:23:57.560
<v Speaker 1>or worse. So what happens is that neither let's just

0:23:57.640 --> 0:24:01.360
<v Speaker 1>assume hetero sexual relationships here, So what happens is that

0:24:01.640 --> 0:24:05.119
<v Speaker 1>neither men nor women have a good time in the market.

0:24:05.240 --> 0:24:09.040
<v Speaker 1>Because when you have like let's say five men for

0:24:09.080 --> 0:24:11.280
<v Speaker 1>every woman or for ten men for every woman in

0:24:11.320 --> 0:24:14.399
<v Speaker 1>the market, well, if you are I mean tender to

0:24:14.520 --> 0:24:19.280
<v Speaker 1>some extent, is a little less bothersome compared to other apps,

0:24:19.320 --> 0:24:23.560
<v Speaker 1>because you only kind of there's only a kind of

0:24:23.600 --> 0:24:25.840
<v Speaker 1>only when there's a mutual like that, like you get

0:24:25.880 --> 0:24:28.840
<v Speaker 1>a notification. But what happens is that if you're a

0:24:28.880 --> 0:24:31.320
<v Speaker 1>woman and there there are like lots of men in

0:24:31.359 --> 0:24:33.600
<v Speaker 1>the market but few other women what have, you will

0:24:33.760 --> 0:24:38.080
<v Speaker 1>end up getting a lot of kind of interest from

0:24:38.119 --> 0:24:41.399
<v Speaker 1>a large number of men, and you know for sure

0:24:41.520 --> 0:24:44.640
<v Speaker 1>right up front that like maybe of them are not

0:24:44.760 --> 0:24:46.920
<v Speaker 1>your type. So you have to you have the job

0:24:46.960 --> 0:24:50.080
<v Speaker 1>of kind of sifting through so many of these profiles

0:24:50.080 --> 0:24:53.200
<v Speaker 1>and in order and to somehow find the needle in

0:24:53.240 --> 0:24:56.440
<v Speaker 1>the haystack. On the other hand, if you're a man

0:24:57.440 --> 0:25:00.119
<v Speaker 1>in such a market and you what you not is

0:25:00.320 --> 0:25:03.200
<v Speaker 1>that there are like so many men for every woman here,

0:25:03.880 --> 0:25:06.720
<v Speaker 1>then you need to someone stand out and standing out

0:25:06.800 --> 0:25:09.479
<v Speaker 1>in this kind of a market where your competitors are

0:25:09.480 --> 0:25:12.600
<v Speaker 1>also evolving and so on, it's not easy. So so

0:25:12.640 --> 0:25:16.480
<v Speaker 1>in that sense it's a very while theoretically it is,

0:25:16.560 --> 0:25:18.800
<v Speaker 1>like I mean, it's all the liquidity problem to some

0:25:18.880 --> 0:25:21.280
<v Speaker 1>extent in that like now, if I go to a

0:25:21.320 --> 0:25:23.760
<v Speaker 1>party and as which on Tinder, I know that who

0:25:23.760 --> 0:25:26.800
<v Speaker 1>else is on I can Let's say I support somebody

0:25:26.800 --> 0:25:28.199
<v Speaker 1>at a party and want to check her out and

0:25:28.240 --> 0:25:30.879
<v Speaker 1>I can see if she's on Tinder, which where she

0:25:31.000 --> 0:25:34.320
<v Speaker 1>probably will be she's single, and then like maybe express

0:25:34.359 --> 0:25:37.679
<v Speaker 1>interests there without facing the fear of rejection. So in

0:25:37.720 --> 0:25:40.800
<v Speaker 1>that sense, it's kind of increase the volume of trading

0:25:41.480 --> 0:25:44.719
<v Speaker 1>or volume of interest in the market. But on the

0:25:44.720 --> 0:25:48.960
<v Speaker 1>other hand that it is still not completely solved the

0:25:49.000 --> 0:25:53.000
<v Speaker 1>market because there is this whole issue of what they

0:25:53.040 --> 0:25:57.760
<v Speaker 1>call us congestion. That's that's fascinating. The idea that there's

0:25:57.760 --> 0:26:00.760
<v Speaker 1>sort of imbalance creates a broken market, and it sort

0:26:00.800 --> 0:26:04.320
<v Speaker 1>of explains why bars, you know, often I don't know

0:26:04.320 --> 0:26:05.679
<v Speaker 1>if they still do, you know, they'd have like a

0:26:05.760 --> 0:26:08.840
<v Speaker 1>Ladies Night, Ladies Night to pay a cover, women got

0:26:08.840 --> 0:26:12.119
<v Speaker 1>in free in order to you know, keep keep the

0:26:12.119 --> 0:26:15.800
<v Speaker 1>populations balanced, because with imbalance it doesn't work out very

0:26:15.800 --> 0:26:19.879
<v Speaker 1>well for either side, you know, Ladies Night. Sorry, I

0:26:19.920 --> 0:26:22.480
<v Speaker 1>just have to interject, Ladies Night is alive and well

0:26:22.600 --> 0:26:25.200
<v Speaker 1>in Dubai and Abu Dhabi, and that's because the gender

0:26:25.200 --> 0:26:28.040
<v Speaker 1>balance is so extreme. There are so many more men

0:26:28.080 --> 0:26:30.560
<v Speaker 1>than women. Here, karthact before we go, we just have

0:26:30.640 --> 0:26:34.240
<v Speaker 1>time for one more minute. Give us one quick other

0:26:34.320 --> 0:26:37.439
<v Speaker 1>example from your book. What's just one more thing in

0:26:38.160 --> 0:26:41.000
<v Speaker 1>modern life that we see. That's an interesting example of

0:26:41.320 --> 0:26:44.960
<v Speaker 1>liquidity providing an action. So one more way is I

0:26:45.000 --> 0:26:48.200
<v Speaker 1>think i'll answer this question at a bit of a

0:26:48.240 --> 0:26:53.400
<v Speaker 1>meta level. So, uh, you take the publishing industry itself, right,

0:26:53.440 --> 0:26:55.879
<v Speaker 1>So if you were to think of in the olden

0:26:56.000 --> 0:26:58.760
<v Speaker 1>days before Amazon, what happened was if I were to

0:26:58.920 --> 0:27:01.879
<v Speaker 1>want it to publish something in the book form and

0:27:02.000 --> 0:27:05.320
<v Speaker 1>have it read by you, the transaction costs would have

0:27:05.359 --> 0:27:08.560
<v Speaker 1>been immense in terms of because first I had to

0:27:08.640 --> 0:27:11.360
<v Speaker 1>kind of put it on to get it printed onto

0:27:11.359 --> 0:27:13.879
<v Speaker 1>a paper nicely bound, and then like it has to

0:27:13.960 --> 0:27:17.040
<v Speaker 1>kind of go through the entire supply chain of books,

0:27:17.080 --> 0:27:19.360
<v Speaker 1>and then my publisher will have to kind of do

0:27:19.400 --> 0:27:22.600
<v Speaker 1>the marketing to make sure that you know that my

0:27:22.720 --> 0:27:25.520
<v Speaker 1>book exists and so on. So so there was a

0:27:25.520 --> 0:27:30.160
<v Speaker 1>lot of cost transaction costs involved in terms of publishing

0:27:30.200 --> 0:27:34.000
<v Speaker 1>and consuming books itself. I think what's happened is that

0:27:34.040 --> 0:27:37.119
<v Speaker 1>with the again, this is a this is a market

0:27:37.119 --> 0:27:40.000
<v Speaker 1>that's only like become partly liquid and just a very

0:27:40.000 --> 0:27:42.640
<v Speaker 1>long way to go. As I've figured out after kind

0:27:42.680 --> 0:27:46.040
<v Speaker 1>of having published the book, is that like after Amazon

0:27:46.119 --> 0:27:49.080
<v Speaker 1>came about and kind of released the concept of the

0:27:49.160 --> 0:27:53.800
<v Speaker 1>Kingdon where all the dead prey in the publication process,

0:27:53.840 --> 0:27:57.399
<v Speaker 1>it's taken away. So it's not funny what portion of

0:27:57.440 --> 0:28:02.560
<v Speaker 1>the cost of my book goes into modifying and moving paper.

0:28:02.800 --> 0:28:05.240
<v Speaker 1>And if you take that out, the kind of the

0:28:06.000 --> 0:28:09.400
<v Speaker 1>amount of the value that the reader pays that can

0:28:09.440 --> 0:28:13.840
<v Speaker 1>be captured by the writer is immense and so effectively

0:28:13.920 --> 0:28:18.640
<v Speaker 1>the once you have the kind of the paper taken away,

0:28:18.640 --> 0:28:21.400
<v Speaker 1>I think that what did the biggest kind of transaction

0:28:21.440 --> 0:28:23.879
<v Speaker 1>costs between the buyer and the sellers that the readers

0:28:23.880 --> 0:28:27.359
<v Speaker 1>should know that the book exists sense on which is

0:28:27.480 --> 0:28:30.920
<v Speaker 1>again fairly big cost. But still I think there's a

0:28:30.960 --> 0:28:33.200
<v Speaker 1>market which is on its way to becoming a bit

0:28:33.240 --> 0:28:40.000
<v Speaker 1>more becoming more liquid. Karthec shas are fascinating conversation the

0:28:40.040 --> 0:28:43.160
<v Speaker 1>author of the book and question between the buyer and

0:28:43.200 --> 0:28:47.480
<v Speaker 1>the seller which explores concepts of liquidity and market structure

0:28:47.560 --> 0:28:52.000
<v Speaker 1>in everyday life. Fascinating conversation. Really appreciate you coming on

0:28:52.040 --> 0:29:05.240
<v Speaker 1>the show. Thanks True, Thanks du So. Tracy. Do you

0:29:05.280 --> 0:29:08.840
<v Speaker 1>think we are we are any closer to understanding the

0:29:09.080 --> 0:29:13.520
<v Speaker 1>history of market liquidity? I mean, I think we may

0:29:13.520 --> 0:29:17.640
<v Speaker 1>be muddling the concept of liquidity with just service provision

0:29:17.760 --> 0:29:22.360
<v Speaker 1>in that conversation. But that said, the thing that's endlessly

0:29:22.440 --> 0:29:25.600
<v Speaker 1>fascinating about liquidity is the fact that everyone has different

0:29:25.640 --> 0:29:29.120
<v Speaker 1>definitions and views of it. So even when it comes

0:29:29.160 --> 0:29:32.760
<v Speaker 1>to the corporate bond market, you have all these investors

0:29:32.840 --> 0:29:38.000
<v Speaker 1>or traders who will say anecdotally that liquidity has deteriorated

0:29:38.080 --> 0:29:40.840
<v Speaker 1>in the market. I was speaking to one credit guy

0:29:40.920 --> 0:29:42.400
<v Speaker 1>today who told me it took him a week and

0:29:42.440 --> 0:29:46.160
<v Speaker 1>a half to sell one million worth of bonds. And

0:29:46.200 --> 0:29:48.080
<v Speaker 1>then you have the regulators who will come out and

0:29:48.080 --> 0:29:51.160
<v Speaker 1>do these studies and say, well, based on these hard

0:29:51.240 --> 0:29:55.280
<v Speaker 1>data points, we see no problem with liquidity whatsoever. And

0:29:55.320 --> 0:29:58.200
<v Speaker 1>it's just really interesting to me how you can't really

0:29:58.920 --> 0:30:01.800
<v Speaker 1>get to the bottom of what ostensibly should be a

0:30:01.880 --> 0:30:07.239
<v Speaker 1>fundamental concept in markets and finance. Absolutely, but you know,

0:30:07.320 --> 0:30:10.160
<v Speaker 1>I think like all of those different examples, some were

0:30:10.240 --> 0:30:14.560
<v Speaker 1>more like financial markets than others, I think they tell

0:30:14.640 --> 0:30:17.240
<v Speaker 1>us something profound, which is that I think if from

0:30:17.240 --> 0:30:20.640
<v Speaker 1>a naive point of view, you could imagine that with

0:30:20.760 --> 0:30:24.880
<v Speaker 1>the Internet, everything could suddenly just become a liquid market

0:30:24.960 --> 0:30:28.400
<v Speaker 1>where there's no more need for brokers, there's no more

0:30:28.480 --> 0:30:30.600
<v Speaker 1>need for anything. You just put your information out there.

0:30:30.640 --> 0:30:32.880
<v Speaker 1>I'm a person working in here I want to I

0:30:32.920 --> 0:30:35.560
<v Speaker 1>have these skills, or I'm looking for this kind of

0:30:35.600 --> 0:30:37.880
<v Speaker 1>person to date, or I'm looking for this kind of

0:30:37.920 --> 0:30:41.640
<v Speaker 1>apartment or whatever it is, and even and uh, but

0:30:41.760 --> 0:30:44.719
<v Speaker 1>it's still really hard and and different markets really do

0:30:44.840 --> 0:30:48.280
<v Speaker 1>have fundamentally different structures, or at least they have players,

0:30:48.320 --> 0:30:50.840
<v Speaker 1>as you are alluding to. In those markets that have

0:30:51.440 --> 0:30:55.040
<v Speaker 1>can prove pretty effective at resisting change. And so in

0:30:55.080 --> 0:30:58.040
<v Speaker 1>the same way, we just sort of imagine that in theory,

0:30:58.160 --> 0:31:02.200
<v Speaker 1>electronic trading markets will disintermediate everything and you can just

0:31:02.240 --> 0:31:05.120
<v Speaker 1>buy whatever you want by putting it out there. Uh,

0:31:05.120 --> 0:31:08.000
<v Speaker 1>It's really not that simple. Yes, And maybe the lesson

0:31:08.200 --> 0:31:12.080
<v Speaker 1>is that even in a technological age, you can charge

0:31:12.120 --> 0:31:16.960
<v Speaker 1>for liquidity as a service for certain assets, I guess right.

0:31:17.040 --> 0:31:20.360
<v Speaker 1>And then even in a technological age, there people have

0:31:20.480 --> 0:31:24.280
<v Speaker 1>ways of sort of preserving the existing order and not

0:31:24.400 --> 0:31:27.120
<v Speaker 1>everything is just not everything is just so simple as

0:31:27.160 --> 0:31:30.040
<v Speaker 1>a you know, a gigantic eBay market or whatever it is. Right,

0:31:30.120 --> 0:31:33.440
<v Speaker 1>if something hasn't been disrupted before, there might be a

0:31:33.520 --> 0:31:37.240
<v Speaker 1>reason for that. That's well play, all right, should we

0:31:37.280 --> 0:31:39.720
<v Speaker 1>leave it there, Let's do it. This has been another

0:31:39.760 --> 0:31:42.960
<v Speaker 1>episode of the Odd Lots podcast. I'm Joe Wisenthal. You

0:31:43.000 --> 0:31:45.640
<v Speaker 1>can follow me on Twitter at the Stalwart, and I'm

0:31:45.680 --> 0:31:49.280
<v Speaker 1>Tracy Alloway. You can follow me at Tracy Alloway. And

0:31:49.320 --> 0:31:52.959
<v Speaker 1>you can find Karthika on Twitter at Karthik s. And

0:31:53.040 --> 0:31:57.080
<v Speaker 1>you can find our producer Sarah Patterson on Twitter at

0:31:57.200 --> 0:32:04.200
<v Speaker 1>Sarah pat With two teams to a