WEBVTT - The Hottest Way for Banks to Get Risk Off Their Balance Sheets

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome to another episode of the Odd Thoughts Podcast.

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<v Speaker 2>I'm Tracy Allaway.

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<v Speaker 3>And I'm Joe Wisenthal.

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<v Speaker 2>Joe, do you ever wonder what this show would have

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<v Speaker 2>been like if we had been doing the podcast before

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<v Speaker 2>two thousand.

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<v Speaker 3>And eight, Well, we would have had plenty to talk

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<v Speaker 3>about it, you know, I actually have it right, It

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<v Speaker 3>would have, man, now, I wish we could. We would

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<v Speaker 3>have had like five bonus episodes every single week, so

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<v Speaker 3>there were just so much content on those days.

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<v Speaker 2>I'm actually glad we weren't doing it back in two

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<v Speaker 2>thousand and eight because I feel like that was a

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<v Speaker 2>time when we, along with everyone else in the market,

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<v Speaker 2>were still learning a lot about how everything works. But

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<v Speaker 2>the one thing I'm kind of sad about is, uh,

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<v Speaker 2>you know, there was a lot of interesting stuff happening

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<v Speaker 2>in structured finance in the securitization market back then, lots

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<v Speaker 2>of interesting deal structures, and there aren't that many of

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<v Speaker 2>those since two thousan and eight for obvious reasons.

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<v Speaker 3>No, you're totally right, Like, you know, we don't do

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<v Speaker 3>many like credit credit default swaps episodes or CDOs or

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<v Speaker 3>various other versions of structured finance, which I know that

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<v Speaker 3>you know, you've covered quite a bit. You know, you

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<v Speaker 3>hear about that stuff a little bit less. But yes,

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<v Speaker 3>that would have been a buffet of topics for us

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<v Speaker 3>to choose from back then.

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<v Speaker 2>A buffet is a good way of putting it, okay,

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<v Speaker 2>So I'm very happy to say this is an episode

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<v Speaker 2>I have wanted to do for a while.

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<v Speaker 4>We are going to.

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<v Speaker 2>Gorge ourselves on a particular type of structured finance deal,

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<v Speaker 2>something that's been happening in the market for a number

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<v Speaker 2>of years now, but it really seems to be booming

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<v Speaker 2>in some respects in recent years. We're going to be

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<v Speaker 2>talking about synthetic risk transfers or SRTs.

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<v Speaker 3>I have to admit that up until like two days ago,

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<v Speaker 3>I had no idea what a synthetic risk transfer is.

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<v Speaker 3>I also still don't have any idea what a synthetic

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<v Speaker 3>risk transfer is. But I, like, you know, get the

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<v Speaker 3>impression that basically this is what I seem to know

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<v Speaker 3>based on a couple of things I've read. There's only

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<v Speaker 3>so much risk or balance sheet that regulated financial institution

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<v Speaker 3>like a bank is supposed to take, and at some point,

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<v Speaker 3>if they want to continue to make loans and continue

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<v Speaker 3>to maintain a relationship with a client, whoever it is,

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<v Speaker 3>some of that risk in order for regulatory balance sheet

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<v Speaker 3>purposes whatever has to be unloaded to some third party entity.

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<v Speaker 5>Right.

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<v Speaker 2>So the interesting thing about these transactions is they didn't

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<v Speaker 2>always used to be called synthetic risk transfers. I remember,

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<v Speaker 2>I mean, I am so old that I remember when

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<v Speaker 2>they were just called balance sheet securitizations or synthetic balance

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<v Speaker 2>sheet clos collateralized loan obligations. I remember when they were

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<v Speaker 2>called regulatory capital trades or regular relief trades instead of SRT,

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<v Speaker 2>and I think that name actually gives a much more

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<v Speaker 2>concrete idea of what is happening here. So banks have

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<v Speaker 2>portfolios of loans, they have to hold regulatory capital against

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<v Speaker 2>those loans. Post two thousand and eight and all the

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<v Speaker 2>regulatory reform that we've seen, they have to hold more capital,

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<v Speaker 2>and so they've looked at creative ways of lessening some

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<v Speaker 2>of that burden. And one of the things they've come

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<v Speaker 2>up with is this SRT idea. So this idea that

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<v Speaker 2>you purchase basically insurance protection on a portfolio of loans,

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<v Speaker 2>and then if you do it in the right way,

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<v Speaker 2>you get to hold less capital against it, and it

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<v Speaker 2>frees up your balance sheet allows you to do more lending. Now,

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<v Speaker 2>the interesting thing about these deals is, as I alluded to,

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<v Speaker 2>they actually have a long history, Like in some respects,

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<v Speaker 2>they're sort of the essence of securitization itself, this idea

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<v Speaker 2>of risk transfer, and you can kind of trace the

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<v Speaker 2>history all the way back to JP Morgan and first

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<v Speaker 2>pistro trades and.

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<v Speaker 4>Stuff like that.

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<v Speaker 2>Maybe we'll get all the way back to the nineteen

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<v Speaker 2>nineties and JP Morgan in this conversation. I'm not sure,

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<v Speaker 2>but there's definitely a lot to discuss, primarily why these

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<v Speaker 2>things seem to be growing now. So I think there

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<v Speaker 2>was about twenty five billion worth of SRTs issued in

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<v Speaker 2>twenty twenty three. The average number of banks that have

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<v Speaker 2>been tapping the market has gone from something like eight

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<v Speaker 2>in sort of the twenty fourteen to twenty twenty period

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<v Speaker 2>to something like thirty seven now, So that's.

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<v Speaker 4>A big jump.

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<v Speaker 2>More banks are doing this, investors are getting interested in this.

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<v Speaker 2>One funny thing that I just realized is like some

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<v Speaker 2>of the do you remember the trade press on structured credit?

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<v Speaker 2>Like structured credit investor I used to read them all

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<v Speaker 2>the time, sort of two thousand and eight to twenty ten,

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<v Speaker 2>and it was all about you know, CDOs and rmbs

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<v Speaker 2>and housing reform. It is now all about SRTs. So

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<v Speaker 2>you can see the sort of like transition that of

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<v Speaker 2>the market happening in real time.

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<v Speaker 3>I am really looking forward to this conversation, you know,

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<v Speaker 3>I think to me, conceptually, part of my question what

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<v Speaker 3>I want to learn is like a financial institution hedging

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<v Speaker 3>out some of their credit risk exposure, counterparty exposure, whatever

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<v Speaker 3>it is, is not really new. And we had this

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<v Speaker 3>whole thing, you know that we would have talked about

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<v Speaker 3>a lot in two thousand and eight, which is the

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<v Speaker 3>credit default swaps market. And conceptually, to me, this idea

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<v Speaker 3>of like, okay, here's an entity it wants to use

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<v Speaker 3>someone else's capital, you know, to essentially buy ensure or

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<v Speaker 3>ensure away or risk. That was a thing. Then a

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<v Speaker 3>lot of that market sort of dried up, and now

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<v Speaker 3>there is this new market. So I want to understand

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<v Speaker 3>a little bit more about how this is conceptually different

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<v Speaker 3>or similar to right.

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<v Speaker 2>This is a very big debate in this space, like

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<v Speaker 2>to what degree do these potentially pose a risk to

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<v Speaker 2>financial stability? There's been some excellent coverage by our colleagues

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<v Speaker 2>at Bloomberg about one particular aspect of this that seems

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<v Speaker 2>kind of sketchy. We are going to get into that,

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<v Speaker 2>but I have to say we really do have the

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<v Speaker 2>perfect guest to discuss this, someone I've been wanting to

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<v Speaker 2>speak to about this for a long time. We're going

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<v Speaker 2>to be talking to Michael Shemy. He is the North

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<v Speaker 2>America structured credit lead at Guy Carpenter. So, Michael Mickey,

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<v Speaker 2>welcome to the show.

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<v Speaker 5>Thank you Tracy, thank you Joe for having me. Appreciate it.

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<v Speaker 5>It's great to be here.

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<v Speaker 4>What does Guy Carpenter actually do?

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<v Speaker 5>Guy Carpenter is part of the Marsh McLennan family of

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<v Speaker 5>companies that includes risk and insurance services Guy Carpenter Marsh,

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<v Speaker 5>along with consulting Oliver Wyman and Mercer. Guy Carpenter is

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<v Speaker 5>Marsh mcclennan's reinsurance specialist advisor broker. I lead the North

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<v Speaker 5>America Structure credit business within the Global Mortgage and Structured

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<v Speaker 5>Credit segment. I joined Guy Carpenter in late twenty twenty three.

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<v Speaker 5>I've spent my career in ass management and banking, working

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<v Speaker 5>with financial institution on matters related to regulatory capital, capital management,

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<v Speaker 5>risk transfer. Most immediately before my current position, I had

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<v Speaker 5>spent time working at a regulatory agency at FHFA, the

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<v Speaker 5>Federal Housing Finance Agency, working on similar issues but specifically

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<v Speaker 5>related to the GCS. To Fannie May and Freddie Guy

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<v Speaker 5>Carpenter has presence in the Americas, Europe globally structuring and

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<v Speaker 5>placing credit risk transfer synthetic risk transfer for various financial institutions.

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<v Speaker 5>We generally place this risk with multiline reinsurance companies in

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<v Speaker 5>reinsurance format, but also place this risk into the capital markets.

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<v Speaker 5>We recently published with our colleagues at Marsh and Oliver

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<v Speaker 5>Wyman a white paper in June about the potential for

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<v Speaker 5>expanding banks portfolio management toolkit and exploring specific opportunities for

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<v Speaker 5>North America banks to bail themselves of credit risk transfer

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<v Speaker 5>transactions in that space. Much has been written about this recently.

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<v Speaker 5>As you both alluded to, this was a bit different

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<v Speaker 5>geared towards bank issuers discussed as benefits of credit risk transfer,

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<v Speaker 5>give some historic context, and also you know, discusses what

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<v Speaker 5>is required of a bank to launch such a program.

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<v Speaker 2>It's a good paper and I made sure to read

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<v Speaker 2>it before this conversation, So why don't we, given your expertise,

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<v Speaker 2>have you fact check us in real time? Both Joe

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<v Speaker 2>and I sort of explained the way we think of

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<v Speaker 2>SRTs or redcap trades. Talk to us about what's your

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<v Speaker 2>understanding and maybe give us a specific example, like in

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<v Speaker 2>the evolution of one of these deals, how does it

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<v Speaker 2>start and how does it actually come to market?

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<v Speaker 5>Yeah, so there are a few things to say upfront.

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<v Speaker 5>I would also say, you know your introduction. I think

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<v Speaker 5>I agreed with basically every word there. Thank you, So

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<v Speaker 5>that's an accomplishment. There are huge differences between what happens

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<v Speaker 5>now in this market versus what happened in two thousand

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<v Speaker 5>and eight, or more specifically in the lead up to

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<v Speaker 5>two thousand and eight. But generally speaking, as you both

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<v Speaker 5>describe banks or regulated institutions, they face a variety of

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<v Speaker 5>constraints on their balance sheets, their business, liquidity, capital, and

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<v Speaker 5>they have developed tools to manage those constraints. There could

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<v Speaker 5>be loan sales, it could be loan participations, that could

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<v Speaker 5>be partnerships and securitizations. Credit risk transfer synthetic risk transfer

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<v Speaker 5>is just one of those tools to manage these constraints

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<v Speaker 5>through a securitization in the banking framework, they're really conceptually

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<v Speaker 5>two sorts of securitizations. There's a traditional securitization that involves

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<v Speaker 5>actual sale of assets out of a financial institution.

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<v Speaker 4>Where you put them in like a trust.

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<v Speaker 5>Basically there's an SPV, there's a trust, there's an actual

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<v Speaker 5>sales and outright sale of the assets. And then there's

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<v Speaker 5>synthetic securitizations, which does not involve actual sale of assets.

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<v Speaker 5>Assets remain on balance sheet, customer relationships aren't interrupted. Only

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<v Speaker 5>credit risk is transferred out of the institution. What's also

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<v Speaker 5>important here in these transactions, you know, people think of

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<v Speaker 5>like two thousand and eight and credit risk and shedding

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<v Speaker 5>credit risk and bad assets. This really is not strictly

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<v Speaker 5>about shedding credit risk. Certainly it's a risk management tools

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<v Speaker 5>and we'll get into the benefits, but it also really

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<v Speaker 5>has become for banks and other regulated financial institutions like

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<v Speaker 5>Fannyman Freddie MAC, more of a capital management tool than

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<v Speaker 5>anything else. And just one thing I'll say in terms

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<v Speaker 5>of nomenclature, because there's a lot of this floating around.

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<v Speaker 5>CRT SRT probably the largest single program for these types

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<v Speaker 5>of transactions is Fanny May and Freddie Mac's program that's

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<v Speaker 5>referred to here in the US as credit risk transfer CRT.

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<v Speaker 5>If you see some of the US regional banks who

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<v Speaker 5>have become inaugural issuers of these transactions, even in two

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<v Speaker 5>Q earnings, they refer to these transactions as credit risk

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<v Speaker 5>transfers CRT. Globally, outside of the US and Europe specifically,

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<v Speaker 5>these are generally referred to as SRT significant risk transfer,

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<v Speaker 5>even synthetic risk transfer, and SRT is really a regulated term.

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<v Speaker 5>It's a formal regulatory term in that context, but ultimately

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<v Speaker 5>it's all the same. Generally speaking, it's the pulling of

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<v Speaker 5>credit exposures by a financial institution, transferring a subordinated portion

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<v Speaker 5>of the risk to a third party, either through a

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<v Speaker 5>synthetic securitization rather than a traditional securitization.

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<v Speaker 2>Joe I did an etymological study of what people are

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<v Speaker 2>calling these deals. I think I published it like a

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<v Speaker 2>month or maybe two months ago because I was bored,

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<v Speaker 2>and it was more than a thousand words long, just

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<v Speaker 2>tracing like the change in the nomenclature or what we

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<v Speaker 2>actually call these things over time.

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<v Speaker 4>It's funny how many.

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<v Speaker 2>Different like phrases and words have fallen in and out

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<v Speaker 2>of fashion to call these things.

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<v Speaker 3>I feel like synthetic is one of those words that

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<v Speaker 3>like raises alarms, Yeah it's not real, or something like that.

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<v Speaker 3>But why do you explain to us from the perspective

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<v Speaker 3>of a bank. You mentioned the two ways that they

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<v Speaker 3>can offload credit risk. One is outright selling it, the

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<v Speaker 3>other one is keeping it on the balance sheet, and

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<v Speaker 3>then you know, offloading some of the credit specific risk.

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<v Speaker 3>We'll get to how that's structured and who's buying and

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<v Speaker 3>who's on the other side. But what do you explain

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<v Speaker 3>from a regulatory or bank capital efficiency standpoint, why the

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<v Speaker 3>risk is attractive rather than the outright sale dyes.

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<v Speaker 2>Oh, and just to add on to that, because it's related,

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<v Speaker 2>but why don't banks just raise more capital for their loans?

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<v Speaker 5>So I think it's important to understand some of the

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<v Speaker 5>conceptual foundations for bank regulatory capital, what it's designed to

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<v Speaker 5>achieve and what it isn't designed to achieve. At the

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<v Speaker 5>very highest level, financial institutions, again, whether you're a bank

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<v Speaker 5>or a GSE or anything in between, generally face expected

0:13:27.160 --> 0:13:33.120
<v Speaker 5>losses and they face unexpected losses. Expected losses perceived as

0:13:33.120 --> 0:13:36.720
<v Speaker 5>a cost of doing business, bank's price for expected losses

0:13:36.760 --> 0:13:41.839
<v Speaker 5>through lending an account for expected losses also through loan

0:13:41.920 --> 0:13:46.800
<v Speaker 5>loss provisioning. In their normal course of business, banks don't

0:13:46.840 --> 0:13:51.679
<v Speaker 5>hold regulatory capital for expected losses. In essence, what concerns

0:13:52.320 --> 0:13:57.520
<v Speaker 5>bank regulators is unexpected losses, the losses above expected losses,

0:13:57.760 --> 0:14:02.120
<v Speaker 5>and regulatory capital is there to absorb these unexpected losses

0:14:02.400 --> 0:14:06.080
<v Speaker 5>as defined by regulators. And so you can really see

0:14:06.120 --> 0:14:10.840
<v Speaker 5>bank capital as a proxy for those unexpected levels of

0:14:10.920 --> 0:14:15.720
<v Speaker 5>loss above expected loss for which banks provision and price for. Now,

0:14:16.200 --> 0:14:20.960
<v Speaker 5>how do bank regulators sort of transcribe that sort of

0:14:22.120 --> 0:14:26.760
<v Speaker 5>philosophically into capital requirements while they look at two general

0:14:26.760 --> 0:14:30.680
<v Speaker 5>frameworks right now, there's a risk based capital requirement and

0:14:30.720 --> 0:14:35.640
<v Speaker 5>then there's a leverage capital requirement. Leverage capital requirements sort

0:14:35.640 --> 0:14:40.080
<v Speaker 5>of assign same requirements to different asset classes, no matter

0:14:40.160 --> 0:14:43.280
<v Speaker 5>the risk, same amount of capital. So whether you have

0:14:43.320 --> 0:14:46.480
<v Speaker 5>one hundred dollars of a treasury security of cash on

0:14:46.560 --> 0:14:49.680
<v Speaker 5>balance sheet, a mortgage, a corporate loan, you know that

0:14:49.760 --> 0:14:52.600
<v Speaker 5>same hundred dollars of exposure will attract the same level

0:14:52.640 --> 0:15:01.320
<v Speaker 5>of capital. For risk based capital requirements, the RBC assigns

0:15:01.520 --> 0:15:05.880
<v Speaker 5>different capital requirements to different exposures based on the perceived

0:15:06.000 --> 0:15:09.440
<v Speaker 5>risk they post to the bank by assigning different risk

0:15:09.520 --> 0:15:14.000
<v Speaker 5>quits risk based capital. Oh yes, excuse me, yes, yeah, yeah,

0:15:14.000 --> 0:15:15.440
<v Speaker 5>we're diving.

0:15:15.160 --> 0:15:18.400
<v Speaker 2>Into the episode with a lot of acronyms.

0:15:18.440 --> 0:15:20.080
<v Speaker 3>I keep going.

0:15:20.560 --> 0:15:24.360
<v Speaker 5>So, unlike the leverage framework, right, cash on balance sheet

0:15:24.520 --> 0:15:28.000
<v Speaker 5>right will attract far less than capital requirements than a

0:15:28.080 --> 0:15:32.040
<v Speaker 5>mortgage loan or corporate loan or a consumer loan. And

0:15:32.120 --> 0:15:35.920
<v Speaker 5>because of this differentiation in riskiness under the risk based

0:15:35.960 --> 0:15:40.280
<v Speaker 5>capital framework, not the leverage capital requirements, banks seek to

0:15:40.320 --> 0:15:48.000
<v Speaker 5>execute these transactions. So bringing this together, right, credit risk

0:15:48.000 --> 0:15:51.720
<v Speaker 5>transfer transactions transfer a portion of the credit risk, typically

0:15:52.400 --> 0:15:56.240
<v Speaker 5>the unexpected levels of loss as defined by regulators for

0:15:56.320 --> 0:16:01.280
<v Speaker 5>an identified pool of assets at the bank. And so

0:16:01.520 --> 0:16:05.440
<v Speaker 5>as a result, for the risk based capital framework, the

0:16:05.480 --> 0:16:08.840
<v Speaker 5>bank can demonstrate to its regulator that the bank faces

0:16:09.160 --> 0:16:13.440
<v Speaker 5>a significantly lower level of unexpected loss and thus is

0:16:13.960 --> 0:16:18.960
<v Speaker 5>permitted to hold less and regulatory capital. Less regulatory capital,

0:16:19.080 --> 0:16:22.600
<v Speaker 5>not no regulatory capital, right right, And the bank is

0:16:22.720 --> 0:16:26.520
<v Speaker 5>relieved of some of this capital it held pre transaction.

0:16:26.640 --> 0:16:28.720
<v Speaker 5>And that's sort of where the concept r trace you

0:16:28.760 --> 0:16:32.760
<v Speaker 5>mentioned before, where the concept of capital relief trades comes in.

0:16:33.040 --> 0:16:35.120
<v Speaker 5>And I think From there, we can talk about some

0:16:35.200 --> 0:16:38.160
<v Speaker 5>of the more specific structures that we're seeing.

0:16:38.360 --> 0:16:40.320
<v Speaker 2>I definitely want to get into structures. I want to

0:16:40.360 --> 0:16:43.960
<v Speaker 2>ask one question before we move to that, though, and

0:16:44.040 --> 0:16:46.480
<v Speaker 2>it's sort of I think it fills out the regulatory

0:16:46.760 --> 0:16:51.200
<v Speaker 2>aspect of this, But why is it that the market

0:16:51.560 --> 0:16:55.920
<v Speaker 2>for these things seems to be much more mature and

0:16:56.080 --> 0:17:00.440
<v Speaker 2>larger in Europe, so for European bank issuers then in

0:17:00.480 --> 0:17:04.280
<v Speaker 2>the US. In the US it's really only begun to

0:17:04.400 --> 0:17:07.919
<v Speaker 2>take off in the past year or so, despite a

0:17:07.960 --> 0:17:11.800
<v Speaker 2>lot of bankers. I remember in like twenty thirteen or

0:17:11.840 --> 0:17:14.199
<v Speaker 2>something having conversations with I think it was someone at

0:17:14.280 --> 0:17:16.679
<v Speaker 2>City Group talking about how they wanted to structure a

0:17:16.720 --> 0:17:19.440
<v Speaker 2>bunch of red cap trades for smaller banks and then

0:17:19.880 --> 0:17:22.679
<v Speaker 2>lo and behold. Ten years later, it feels like the

0:17:22.800 --> 0:17:26.120
<v Speaker 2>US market is actually starting to do something. So why

0:17:26.240 --> 0:17:28.760
<v Speaker 2>was there that discrepancy?

0:17:28.880 --> 0:17:32.840
<v Speaker 5>So you're absolutely right, in contrast to the global experience,

0:17:33.560 --> 0:17:37.840
<v Speaker 5>credit risk transfer never expanded meaningfully in the US beyond

0:17:37.880 --> 0:17:42.080
<v Speaker 5>the GSCs in any programmatic way. And there's several reasons

0:17:42.280 --> 0:17:45.240
<v Speaker 5>for that. We just hit on one of them. Regulatory

0:17:45.280 --> 0:17:49.359
<v Speaker 5>capital differences are one. You know, we talked about the

0:17:49.359 --> 0:17:53.760
<v Speaker 5>capital requirements risk based capital versus leverage. These transactions were

0:17:53.760 --> 0:17:57.720
<v Speaker 5>more embedded in Europe already pre two thousand and eight,

0:17:58.200 --> 0:18:01.320
<v Speaker 5>because banks had already adopted did what's known as the

0:18:01.359 --> 0:18:06.320
<v Speaker 5>BOZEL two framework that had a lot more risk sensitive

0:18:06.960 --> 0:18:11.320
<v Speaker 5>risk base capital requirements. The US, on the other hand,

0:18:11.480 --> 0:18:15.640
<v Speaker 5>was delayed in that process in transitioning from BOZEL one

0:18:15.920 --> 0:18:19.840
<v Speaker 5>to BOZL two, continue to operate under BASIL one for

0:18:19.960 --> 0:18:24.360
<v Speaker 5>a while, and then in around twenty twelve thirteen sort

0:18:24.359 --> 0:18:28.760
<v Speaker 5>of leapfrog straight to BASL three from BOZEL one. And

0:18:28.960 --> 0:18:31.679
<v Speaker 5>another aspect of this, I think that's important to note.

0:18:32.200 --> 0:18:37.879
<v Speaker 5>One of the post GFC, post Global Financial Crisis reforms

0:18:37.960 --> 0:18:41.359
<v Speaker 5>in BOSL three and the bank capital reforms was the

0:18:41.400 --> 0:18:45.320
<v Speaker 5>introduction of this leverage ratio requirement, right, So it was

0:18:45.359 --> 0:18:49.680
<v Speaker 5>all sort of risk base capital based beforehand, and now

0:18:49.720 --> 0:18:52.679
<v Speaker 5>the leverage ratio requirement is supposed to be sort of

0:18:52.720 --> 0:18:57.240
<v Speaker 5>a backstop. But interestingly, in the US, and earlier than

0:18:57.320 --> 0:18:59.920
<v Speaker 5>two thousand and eight and earlier than BASIL three reforms,

0:19:00.200 --> 0:19:04.720
<v Speaker 5>the US banking regulators already subjected banks to a leverage

0:19:04.880 --> 0:19:08.880
<v Speaker 5>capital requirement unlike their global peers, and in that regime,

0:19:09.480 --> 0:19:12.600
<v Speaker 5>banks don't benefit from the impacts of credit risk transfer,

0:19:12.800 --> 0:19:15.919
<v Speaker 5>since all risks are treated equally, and so there was

0:19:15.960 --> 0:19:19.760
<v Speaker 5>also just up until now, less of a focus historically

0:19:19.840 --> 0:19:23.320
<v Speaker 5>on risk based capital requirements in the US, so implicitly

0:19:23.680 --> 0:19:25.679
<v Speaker 5>less of a focus on credit risk transfer. You know.

0:19:25.760 --> 0:19:28.840
<v Speaker 5>On top of that, during this transition into Basel three,

0:19:29.200 --> 0:19:32.920
<v Speaker 5>there wasn't much regulatory clarity about the treatment of these

0:19:32.960 --> 0:19:36.560
<v Speaker 5>transactions here in the US. So it's real, there's real

0:19:36.640 --> 0:19:41.160
<v Speaker 5>regulatory capital regime differences between the US VERSUS Europe, even

0:19:41.200 --> 0:19:44.120
<v Speaker 5>between the US and say Canada. But I also don't

0:19:44.119 --> 0:19:46.960
<v Speaker 5>want to put this all at the feet of regulators

0:19:47.240 --> 0:19:50.440
<v Speaker 5>because in my view, you know, Tracy, you mentioned having

0:19:50.520 --> 0:19:54.000
<v Speaker 5>conversations in twenty twelve and twenty thirteen around this for

0:19:54.160 --> 0:19:56.960
<v Speaker 5>US banks. In my view, and maybe this is a

0:19:57.080 --> 0:20:00.280
<v Speaker 5>minority view, but I think it's been born out. Credit

0:20:00.359 --> 0:20:03.560
<v Speaker 5>risk transfer for US banks in the years following the

0:20:03.560 --> 0:20:06.800
<v Speaker 5>financial crisis was a solution in search of a problem.

0:20:07.480 --> 0:20:11.400
<v Speaker 5>Coming out of the financial crisis, US banks race capital

0:20:11.480 --> 0:20:13.680
<v Speaker 5>to shore up balance sheet. You know, maybe they were

0:20:13.680 --> 0:20:15.840
<v Speaker 5>forced to do so. Actually, I think I think you

0:20:15.840 --> 0:20:18.719
<v Speaker 5>would ask certain bank bank bank managements. You know, they

0:20:18.720 --> 0:20:22.480
<v Speaker 5>were subjected to regulatory stress tests early on. They have

0:20:22.680 --> 0:20:26.320
<v Speaker 5>been were and have been perceived to be better capitalized

0:20:26.359 --> 0:20:29.439
<v Speaker 5>with stronger balance sheets than their global peers. They were

0:20:29.440 --> 0:20:32.320
<v Speaker 5>never really balance sheet constrained in the years coming out

0:20:32.359 --> 0:20:35.800
<v Speaker 5>of QE, and this is also reflected in their valuations

0:20:36.280 --> 0:20:38.679
<v Speaker 5>across their capital structure. I mean, most of these banks

0:20:38.720 --> 0:20:41.600
<v Speaker 5>traded a premium to book value. So if a bank

0:20:41.720 --> 0:20:44.520
<v Speaker 5>and tracy you pose this question earlier. So if a

0:20:44.560 --> 0:20:48.040
<v Speaker 5>bank did need to raise capital for something, you know,

0:20:48.119 --> 0:20:53.719
<v Speaker 5>it was relatively easy to do, you know, at attractive valuations.

0:20:54.040 --> 0:20:57.679
<v Speaker 5>So the business need wasn't clear for US banks in

0:20:57.720 --> 0:21:00.280
<v Speaker 5>my opinion, as it was for European banks who did

0:21:00.320 --> 0:21:03.200
<v Speaker 5>not recapitalize in the same way as US banks did

0:21:03.280 --> 0:21:07.879
<v Speaker 5>post GFC. They were and are risk based capital constrained,

0:21:08.119 --> 0:21:10.760
<v Speaker 5>and again that was reflected in their valuations where most

0:21:10.800 --> 0:21:14.639
<v Speaker 5>of these banks still trade at a discount to book value.

0:21:14.920 --> 0:21:16.880
<v Speaker 5>And I just think, you know, sort of post two

0:21:16.920 --> 0:21:19.880
<v Speaker 5>thousand and eight around like the lingering sagas for banks

0:21:20.160 --> 0:21:24.480
<v Speaker 5>across the continent right in the European sovereign debt crisis,

0:21:24.520 --> 0:21:27.639
<v Speaker 5>but even even beyond, I would also say, you know,

0:21:27.760 --> 0:21:29.960
<v Speaker 5>moving out of the banks a little bit, the gcs

0:21:30.480 --> 0:21:33.320
<v Speaker 5>like European banks in a way you know, similar but

0:21:33.359 --> 0:21:37.560
<v Speaker 5>not the same. The use case was clear there as well,

0:21:37.840 --> 0:21:39.439
<v Speaker 5>you know, the need to sort of de risk the

0:21:39.560 --> 0:21:42.960
<v Speaker 5>tax payer during the conservatorship and going through the capital

0:21:43.000 --> 0:21:46.240
<v Speaker 5>build process. But you know, in any event, you know, ultimately,

0:21:46.240 --> 0:21:49.760
<v Speaker 5>in addition to regulatory uncertainty here in the US, banks

0:21:49.960 --> 0:21:53.560
<v Speaker 5>and bank managements generally didn't really prioritize active balance sheet

0:21:53.640 --> 0:21:55.520
<v Speaker 5>management as as they are now.

0:21:55.640 --> 0:21:58.720
<v Speaker 3>That was a fantastic and very clear answer, and it

0:21:58.760 --> 0:22:01.840
<v Speaker 3>makes a lot of sense why setting aside regulations, why

0:22:01.920 --> 0:22:05.600
<v Speaker 3>economically there wasn't much need to prioritize these sort of

0:22:05.600 --> 0:22:24.320
<v Speaker 3>balance sheet trades. All right, let's talk about how these

0:22:24.359 --> 0:22:28.120
<v Speaker 3>are structured. So I'm the first bank of Joe, and

0:22:28.240 --> 0:22:30.760
<v Speaker 3>I want to take off some of my books, some

0:22:30.800 --> 0:22:34.720
<v Speaker 3>of my credit risk, and you're some other entity. What's

0:22:34.760 --> 0:22:36.919
<v Speaker 3>our deal? First of all, two, I guess there's two questions.

0:22:36.920 --> 0:22:39.000
<v Speaker 3>Who are you? Are you like a hedge fund, are

0:22:39.000 --> 0:22:40.000
<v Speaker 3>you a pension fund?

0:22:40.119 --> 0:22:40.199
<v Speaker 5>Like?

0:22:40.560 --> 0:22:43.119
<v Speaker 3>Who is taking sure an insurer? Who is taking on

0:22:43.119 --> 0:22:46.600
<v Speaker 3>this credit risk? And then, in the most vanilla example,

0:22:46.640 --> 0:22:47.960
<v Speaker 3>what is the deal that we're striking?

0:22:48.880 --> 0:22:50.960
<v Speaker 5>Right? I think that's an important question also to to

0:22:51.200 --> 0:22:55.199
<v Speaker 5>sort of think about who the counterparty is. Generally in

0:22:55.240 --> 0:22:57.840
<v Speaker 5>these transactions. These are done in what's sort of known

0:22:57.880 --> 0:23:04.119
<v Speaker 5>as fully funded format. There's a synthetic securitization. We're taking

0:23:04.240 --> 0:23:08.760
<v Speaker 5>a loan pool, and a bank typically hedges the mezzanine

0:23:09.040 --> 0:23:13.920
<v Speaker 5>level of risk while retaining the first loss. Right, that's

0:23:13.960 --> 0:23:15.960
<v Speaker 5>really the expected loss we were talking about a few

0:23:15.960 --> 0:23:19.200
<v Speaker 5>minutes ago, and retain then the senior.

0:23:18.880 --> 0:23:22.120
<v Speaker 4>Trunch, So mezzanine is like the middle, that's right.

0:23:22.160 --> 0:23:23.879
<v Speaker 2>The clue is in the name. But also this is

0:23:23.960 --> 0:23:28.240
<v Speaker 2>kind of different to the securitizations, the synthetic securitizations of old,

0:23:28.240 --> 0:23:31.520
<v Speaker 2>where I think they were mostly selling the senior right.

0:23:31.680 --> 0:23:34.840
<v Speaker 5>Yeah, and those were even selling full stack securitizations, right,

0:23:35.119 --> 0:23:37.080
<v Speaker 5>And I mean one of the key differences, and we

0:23:37.080 --> 0:23:39.040
<v Speaker 5>can get into this as well, right, One of the

0:23:39.119 --> 0:23:44.080
<v Speaker 5>key differences then was really to sort of allow uncapped

0:23:44.320 --> 0:23:48.199
<v Speaker 5>leverage speculation. Where we're here. What we're talking about is

0:23:48.440 --> 0:23:52.840
<v Speaker 5>a bank, first Bank of Joe, having actual credit exposure

0:23:53.080 --> 0:23:56.400
<v Speaker 5>on their balance sheet through normal course of lending operations,

0:23:56.720 --> 0:23:59.320
<v Speaker 5>and then seeking to hedge a portion of that risk

0:24:00.080 --> 0:24:04.000
<v Speaker 5>capital purposes for risk management purposes. And so the whole

0:24:04.680 --> 0:24:08.160
<v Speaker 5>point of departure for this transaction is not speculation, it's

0:24:08.200 --> 0:24:12.320
<v Speaker 5>actual hedging, right, and there's there's actually but going back.

0:24:12.200 --> 0:24:14.879
<v Speaker 3>To you on the other end of this trade, I

0:24:14.880 --> 0:24:16.679
<v Speaker 3>don't know if it's right to say you're a speculator,

0:24:16.680 --> 0:24:19.080
<v Speaker 3>but you're looking to make money on this trade. I'm

0:24:19.080 --> 0:24:21.680
<v Speaker 3>looking to hedge risk or I'm looking to deal with

0:24:21.720 --> 0:24:23.520
<v Speaker 3>some balance sheet and you're looking.

0:24:23.320 --> 0:24:25.120
<v Speaker 4>To collect you get paid a premium.

0:24:25.240 --> 0:24:26.800
<v Speaker 3>Right, So what's the deal that we do?

0:24:27.040 --> 0:24:31.120
<v Speaker 5>Right? So so so again, A financial institution pools credit

0:24:31.200 --> 0:24:34.920
<v Speaker 5>risk together transfers a portion of the risk out of

0:24:34.960 --> 0:24:37.679
<v Speaker 5>the bank. The loans remain on balance sheet. You know,

0:24:37.840 --> 0:24:41.439
<v Speaker 5>assets are not sold, only credit risk trans is transferred.

0:24:42.280 --> 0:24:45.240
<v Speaker 5>We've we gather a loan pool in what we've seen

0:24:45.280 --> 0:24:47.239
<v Speaker 5>here in the US, just to just to take up

0:24:47.280 --> 0:24:50.840
<v Speaker 5>sort of a hypothetical transaction. A in what's become a

0:24:50.880 --> 0:24:54.879
<v Speaker 5>popular asset class is auto loans, and so a bank

0:24:55.040 --> 0:24:58.600
<v Speaker 5>has a certain amount of auto loan lending exposures on

0:24:58.720 --> 0:25:01.760
<v Speaker 5>balance sheet, they have have to risk weight that according

0:25:01.800 --> 0:25:06.080
<v Speaker 5>to current regulation at one hundred percent. They take an

0:25:06.119 --> 0:25:10.399
<v Speaker 5>identified subset of that pool and put it into a

0:25:10.760 --> 0:25:17.880
<v Speaker 5>synthetic securitization. They trunch up securitize that risk. Generally speaking, right,

0:25:18.119 --> 0:25:20.200
<v Speaker 5>they retain the first one or one and a half

0:25:20.280 --> 0:25:24.960
<v Speaker 5>percent of cumulative portfolio losses, that's the expected losses. They

0:25:25.160 --> 0:25:29.440
<v Speaker 5>sell the mezzanine tranch that references the next levels of loss,

0:25:29.440 --> 0:25:31.960
<v Speaker 5>the unexpected loss You can say, maybe that's next ten

0:25:32.040 --> 0:25:35.920
<v Speaker 5>or eleven percent of losses, and then they retain again

0:25:36.040 --> 0:25:39.840
<v Speaker 5>the very remote senior levels of loss, referencing the remaining

0:25:40.040 --> 0:25:42.679
<v Speaker 5>whatever it is, eighty seven eighty eight percent of loans

0:25:42.720 --> 0:25:48.000
<v Speaker 5>after credit protection is exhausted. Different act classes, different geographies

0:25:48.040 --> 0:25:51.640
<v Speaker 5>will have different tranching, but that's the basic capital structure

0:25:51.720 --> 0:25:55.119
<v Speaker 5>that generally stays the same. There are instances where banks

0:25:55.160 --> 0:25:59.000
<v Speaker 5>also buy first loss protection. A bank can demonstrate to

0:25:59.200 --> 0:26:02.720
<v Speaker 5>the regulator that the bulk of the unexpected losses transferred

0:26:02.760 --> 0:26:06.879
<v Speaker 5>out of the bank. Regulatory capital treatment is then transformed

0:26:06.880 --> 0:26:10.359
<v Speaker 5>from just a normal loan pool to a synthetic securitization

0:26:10.480 --> 0:26:13.320
<v Speaker 5>with different tranches of risk being risk weighted according to

0:26:13.359 --> 0:26:16.399
<v Speaker 5>the risk they represent to the bank. Now that's the

0:26:16.480 --> 0:26:19.720
<v Speaker 5>capital structure, Joe, I think more specifically to your questions, like,

0:26:20.000 --> 0:26:24.680
<v Speaker 5>what is the actual mechanism that transfer? Is this exactly that?

0:26:25.040 --> 0:26:27.120
<v Speaker 5>What is the actual mechanism for a bank to actually

0:26:27.160 --> 0:26:32.080
<v Speaker 5>transact and acquire credit protection. Generally, what happens is that

0:26:32.160 --> 0:26:37.680
<v Speaker 5>a bank enters a derivative or a financial guarantee that's

0:26:37.760 --> 0:26:41.560
<v Speaker 5>transformed into a credit link note, which is a bond. Right.

0:26:41.600 --> 0:26:45.639
<v Speaker 5>An investor hedge fund, pension fund, buys a bond from

0:26:45.720 --> 0:26:49.120
<v Speaker 5>the bank, a credit link note CLN, and the performance

0:26:49.200 --> 0:26:52.040
<v Speaker 5>of that bond that CLN is linked to the performance

0:26:52.119 --> 0:26:56.600
<v Speaker 5>of the underlying reference polls as losses arise. Should they arise,

0:26:56.800 --> 0:27:00.200
<v Speaker 5>then those losses rather than being allocated to the bank

0:27:00.400 --> 0:27:03.960
<v Speaker 5>or allocated to this bond, right, and what does the

0:27:04.000 --> 0:27:07.480
<v Speaker 5>investor receive, Well, you know, the investor puts up money upfront,

0:27:07.600 --> 0:27:11.800
<v Speaker 5>fully collateralizes the transaction and buying this bond, they get

0:27:11.840 --> 0:27:15.159
<v Speaker 5>interest income over time, and then at the end of

0:27:15.160 --> 0:27:20.040
<v Speaker 5>the transaction they get whatever money remains there less losses.

0:27:20.359 --> 0:27:22.040
<v Speaker 3>Terracy. It reminds me a little bit of like a

0:27:22.040 --> 0:27:25.359
<v Speaker 3>catastrophe bond or something like that, where it's like you

0:27:25.400 --> 0:27:27.840
<v Speaker 3>put up a bunch of money and you get interest,

0:27:27.880 --> 0:27:29.920
<v Speaker 3>and if there's no hurricanes, you get all the money back,

0:27:29.960 --> 0:27:31.400
<v Speaker 3>but if there are some hurricanes, you get a little

0:27:31.440 --> 0:27:32.000
<v Speaker 3>less money back.

0:27:32.080 --> 0:27:35.680
<v Speaker 5>So I can't tell you why. That is a perfect analogy, right,

0:27:35.760 --> 0:27:38.960
<v Speaker 5>and that is really the sort of genesis of many

0:27:38.960 --> 0:27:42.000
<v Speaker 5>of these of these transactions. Maybe genesis isn't the right word,

0:27:42.000 --> 0:27:44.760
<v Speaker 5>but the right parallel. And what we've also seen is that,

0:27:44.880 --> 0:27:47.000
<v Speaker 5>you know, I just described sort of fully funded you know,

0:27:47.040 --> 0:27:51.000
<v Speaker 5>sort of bond format transactions. You know, what we also do,

0:27:51.119 --> 0:27:54.640
<v Speaker 5>this is sort of a Guy Carpenter specialty, is put

0:27:54.880 --> 0:27:58.639
<v Speaker 5>this risk in the form of a reinsurance contract with

0:27:58.760 --> 0:28:00.840
<v Speaker 5>diversified reinsures.

0:28:02.040 --> 0:28:03.560
<v Speaker 4>Interesting, there's another layer.

0:28:04.080 --> 0:28:08.359
<v Speaker 5>There's another layer, or or better yet, a different execution alternative.

0:28:09.200 --> 0:28:12.879
<v Speaker 5>So if you look at globally the bank credit risk

0:28:12.960 --> 0:28:15.600
<v Speaker 5>transfer market, most of it is in this sort of

0:28:15.760 --> 0:28:18.639
<v Speaker 5>credit link note bond format that I just described, probably

0:28:18.640 --> 0:28:22.320
<v Speaker 5>about eighty five ninety percent of it, probably about ten percent,

0:28:22.600 --> 0:28:26.760
<v Speaker 5>and it's growing, is in this reinsurance format with multiline

0:28:26.800 --> 0:28:31.480
<v Speaker 5>diversified reinsures. If you look at Fanny May and Freddie

0:28:31.480 --> 0:28:34.680
<v Speaker 5>Mack right now in terms of outstanding not not volumes

0:28:34.760 --> 0:28:38.320
<v Speaker 5>outstanding credit risk transfer, you know they have about almost

0:28:38.360 --> 0:28:42.160
<v Speaker 5>ninety billion dollars in a risk transfer outstanding right now.

0:28:42.520 --> 0:28:46.000
<v Speaker 5>I would say the latest reporting roughly thirty five percent

0:28:46.000 --> 0:28:50.080
<v Speaker 5>of that is in reinsurance market in about sixty five

0:28:50.080 --> 0:28:52.720
<v Speaker 5>percent of that or so is in this bond credit

0:28:52.800 --> 0:28:54.480
<v Speaker 5>link note like format.

0:28:54.680 --> 0:28:58.760
<v Speaker 2>So I really like the cat bond for banks analogy

0:28:59.000 --> 0:29:02.840
<v Speaker 2>where you're sort of getting insurance on the unexpected lost

0:29:02.920 --> 0:29:06.959
<v Speaker 2>portion of your portfolio. I mean, explain again, who's on

0:29:07.000 --> 0:29:10.080
<v Speaker 2>the other side of me. So you mentioned insurers, but

0:29:10.400 --> 0:29:12.960
<v Speaker 2>I believe there are lots of hedge funds involved as well.

0:29:13.440 --> 0:29:17.920
<v Speaker 2>And then secondly, I'm still unclear on the genesis of

0:29:18.000 --> 0:29:21.040
<v Speaker 2>these trades and who approaches Who is it the bank

0:29:21.120 --> 0:29:25.240
<v Speaker 2>issuer that goes out and talks to a potential counterparty

0:29:25.240 --> 0:29:27.240
<v Speaker 2>and says, hey, we're looking to do this, or.

0:29:27.240 --> 0:29:29.440
<v Speaker 3>Do they approach they approach you and they find us

0:29:29.440 --> 0:29:29.960
<v Speaker 3>a counter part?

0:29:30.160 --> 0:29:30.360
<v Speaker 5>Yeah?

0:29:30.360 --> 0:29:34.400
<v Speaker 2>And then also how do they decide exactly which loans

0:29:34.600 --> 0:29:37.720
<v Speaker 2>to put into these structures? Because my understanding is one

0:29:37.760 --> 0:29:40.400
<v Speaker 2>of the criticism of some of these deals is that

0:29:40.440 --> 0:29:43.840
<v Speaker 2>sometimes hedge funds are just offering to ensure these things

0:29:43.840 --> 0:29:47.680
<v Speaker 2>basically without actually knowing what's in the underlying portfolio.

0:29:47.760 --> 0:29:49.520
<v Speaker 4>It can be opaque at times.

0:29:50.160 --> 0:29:51.760
<v Speaker 5>So there are a lot of questions in this life.

0:29:51.800 --> 0:29:53.520
<v Speaker 4>I know, I'm sorry, I think that might have been

0:29:53.520 --> 0:29:54.240
<v Speaker 4>four questions.

0:29:54.480 --> 0:29:57.680
<v Speaker 5>So let me start off with that last bit tracy

0:29:57.920 --> 0:30:00.000
<v Speaker 5>around sort of what are the typical ask the class

0:30:00.240 --> 0:30:02.760
<v Speaker 5>is the banks put into these transactions, and then we

0:30:02.800 --> 0:30:06.320
<v Speaker 5>can get into you know, part three, four, five, and

0:30:06.400 --> 0:30:11.520
<v Speaker 5>seventeen of your of your multipart question. I think one

0:30:11.520 --> 0:30:16.840
<v Speaker 5>important to make upfront is that generally speaking, these transactions

0:30:16.880 --> 0:30:21.840
<v Speaker 5>are programmatic issuances from from banks that have issued them, right,

0:30:21.880 --> 0:30:24.240
<v Speaker 5>So it's not like there's a one off deal they've

0:30:24.240 --> 0:30:27.239
<v Speaker 5>identified some bad asset on their balance sheet and then

0:30:27.280 --> 0:30:28.880
<v Speaker 5>they want to get rid of it and then they

0:30:28.880 --> 0:30:33.960
<v Speaker 5>go home. No, it's more around programmatic issuances and transactions

0:30:34.000 --> 0:30:39.960
<v Speaker 5>typically reference assets and businesses that the bank likes. Transactions

0:30:39.960 --> 0:30:43.320
<v Speaker 5>reference assets that the banks wants to grow and they're

0:30:43.360 --> 0:30:49.480
<v Speaker 5>looking for tools to support that growth. Now, the assets

0:30:49.480 --> 0:30:52.280
<v Speaker 5>span a whole range of them, and reference pools really

0:30:52.400 --> 0:30:58.720
<v Speaker 5>range from very granular exposures like consumer and mortgage and

0:30:58.840 --> 0:31:01.320
<v Speaker 5>auto loan type of of exposures you know, to to

0:31:01.720 --> 0:31:07.560
<v Speaker 5>single borrowers too much chunkier portfolios like corporate exposures that

0:31:07.640 --> 0:31:11.040
<v Speaker 5>a bank has on balancey, like lending to large corporate corporations.

0:31:11.400 --> 0:31:13.960
<v Speaker 5>And then you have also asset classes somewhere in the

0:31:14.000 --> 0:31:15.960
<v Speaker 5>middle in Europe. You know, these are sort of known

0:31:16.000 --> 0:31:19.800
<v Speaker 5>as SMEs small and medium enterprises here in the US

0:31:20.040 --> 0:31:23.120
<v Speaker 5>more commonly known as just the middle market companies. And

0:31:23.160 --> 0:31:25.680
<v Speaker 5>it's important to just to just bear that in mind.

0:31:25.720 --> 0:31:29.720
<v Speaker 5>You know, that's that's a big part of how reference

0:31:29.760 --> 0:31:33.960
<v Speaker 5>assets are selected, and underlying borrowers may have a much

0:31:34.160 --> 0:31:37.320
<v Speaker 5>broader relationship with the bank rather than just this loan.

0:31:37.360 --> 0:31:40.840
<v Speaker 5>There could be involved in other fee generating activities for

0:31:40.920 --> 0:31:42.600
<v Speaker 5>the bank. They're just looking and the bank is looking

0:31:42.640 --> 0:31:48.680
<v Speaker 5>for ways to protect that borrower relationship another aspect of

0:31:48.720 --> 0:31:53.920
<v Speaker 5>it for a bank. So so in terms of assets selection, right,

0:31:53.960 --> 0:31:58.080
<v Speaker 5>So for the GSCs, they're sort of you know, monoligned guaranteurs, right,

0:31:58.120 --> 0:32:02.280
<v Speaker 5>they do single family and then you know multifamily acquisitions,

0:32:02.360 --> 0:32:05.360
<v Speaker 5>you know, so mortgages are really their business. A bank

0:32:05.400 --> 0:32:09.320
<v Speaker 5>would typically look across its asset portfolio and say, well,

0:32:09.320 --> 0:32:13.040
<v Speaker 5>what's the most capital intense, right, So, from a cost

0:32:13.080 --> 0:32:17.080
<v Speaker 5>of capital perspective, what makes the most sense in terms

0:32:17.080 --> 0:32:19.200
<v Speaker 5>of targeting for capital relief?

0:32:19.280 --> 0:32:19.400
<v Speaker 2>Right.

0:32:19.920 --> 0:32:24.200
<v Speaker 5>So oftentimes exposures like mortgages, conversely to the gcs, may

0:32:24.240 --> 0:32:27.000
<v Speaker 5>not make the most sense for a bank to see

0:32:27.000 --> 0:32:30.480
<v Speaker 5>capital relief on because they have lower capital and they're

0:32:30.560 --> 0:32:35.239
<v Speaker 5>just lower capital requirements on on mortgages versus say a

0:32:35.280 --> 0:32:39.120
<v Speaker 5>corporate or a consumer loan that that draws double in

0:32:39.240 --> 0:32:42.320
<v Speaker 5>the capital requirements a bank is required to hold. And

0:32:42.360 --> 0:32:45.600
<v Speaker 5>so just implicitly, there's also that calculation for a bank,

0:32:45.640 --> 0:32:48.160
<v Speaker 5>you know, what is the most capital intensive asset I

0:32:48.200 --> 0:32:50.400
<v Speaker 5>have on balance sheet? You know, and where does it

0:32:50.440 --> 0:32:53.080
<v Speaker 5>make most sense to seek capital relief?

0:32:53.320 --> 0:32:56.520
<v Speaker 2>What about the transparency of the low portfolio? If I

0:32:56.520 --> 0:32:58.200
<v Speaker 2>agree to do this, you know, if I'm a hedge

0:32:58.240 --> 0:33:00.720
<v Speaker 2>fund or an insurer on the other side, how much

0:33:00.800 --> 0:33:02.719
<v Speaker 2>visibility do I get into the loans?

0:33:03.000 --> 0:33:07.040
<v Speaker 5>Right? And so that relates to sort of the granularity

0:33:07.320 --> 0:33:10.120
<v Speaker 5>of the transaction or of the reference pool. So in

0:33:10.240 --> 0:33:13.239
<v Speaker 5>very granular pools, really what you're looking at is more

0:33:13.280 --> 0:33:15.920
<v Speaker 5>of a statistical exercise, right, with not a lot of

0:33:16.240 --> 0:33:20.160
<v Speaker 5>visibility into like the identity of like one individual borrow.

0:33:20.400 --> 0:33:22.640
<v Speaker 5>You'll have a loan tape, You'll have all the relevant

0:33:23.120 --> 0:33:27.920
<v Speaker 5>credit and performance information that you need, but like picking

0:33:28.320 --> 0:33:33.200
<v Speaker 5>one loan out of thousands won't necessarily help you in

0:33:33.280 --> 0:33:37.200
<v Speaker 5>your credit work. It has to sort of be seen together. Conversely,

0:33:37.720 --> 0:33:42.280
<v Speaker 5>in chunk your portfolios, including portfolios that include corporate exposures,

0:33:42.640 --> 0:33:48.440
<v Speaker 5>they're usually individual obligors are identified in their names identified,

0:33:48.480 --> 0:33:51.320
<v Speaker 5>and so the investors on the other side can do

0:33:51.400 --> 0:33:54.600
<v Speaker 5>their own individual credit work on top of what the

0:33:54.640 --> 0:33:59.040
<v Speaker 5>bank already already provides. You know, one can question, you know,

0:34:00.320 --> 0:34:03.440
<v Speaker 5>how much merit that additional credit work actually has or

0:34:03.600 --> 0:34:08.520
<v Speaker 5>provides to the transaction. But there's certain investors that just generally,

0:34:08.560 --> 0:34:11.680
<v Speaker 5>at because of their investment requirements, just require sort of

0:34:11.719 --> 0:34:15.160
<v Speaker 5>full disclosure of all their borrowers in an underlying reference pool,

0:34:15.360 --> 0:34:17.840
<v Speaker 5>that just may not look at more granular sort of

0:34:17.840 --> 0:34:20.960
<v Speaker 5>consumer assets and rather just look at at corporate exposures.

0:34:20.960 --> 0:34:25.160
<v Speaker 3>For example, can you walk me through a sort of

0:34:25.320 --> 0:34:29.239
<v Speaker 3>simplified math, So you're going to take this risk off

0:34:29.280 --> 0:34:31.880
<v Speaker 3>my book, but I'm going to pay you for that service.

0:34:31.920 --> 0:34:34.360
<v Speaker 3>I'm going to pay you some spread over whatever, some

0:34:34.600 --> 0:34:37.680
<v Speaker 3>risk free reference rate, whatever. I don't know, walk us

0:34:37.680 --> 0:34:41.239
<v Speaker 3>through like the really simplified math of how much it's

0:34:41.239 --> 0:34:45.000
<v Speaker 3>worth me to pay you for that, because it frees

0:34:45.080 --> 0:34:46.400
<v Speaker 3>up regulatory capital for me.

0:34:46.760 --> 0:34:50.719
<v Speaker 5>So in the example that that we just discussed a

0:34:50.719 --> 0:34:55.319
<v Speaker 5>few minutes ago, you know, around that hypothetical auto loan transaction,

0:34:56.000 --> 0:34:59.800
<v Speaker 5>now we would probably estimate and that sort of capital structure.

0:35:00.120 --> 0:35:03.760
<v Speaker 5>You know, the capital requirement for the bank just dropped

0:35:03.800 --> 0:35:08.239
<v Speaker 5>by sixty percent. Okay, right, because the risk weighting on

0:35:08.239 --> 0:35:10.799
<v Speaker 5>that portfolio has dropped from one hundred percent and just

0:35:10.880 --> 0:35:15.880
<v Speaker 5>like outright bank holding auto loans to roughly forty percent.

0:35:16.080 --> 0:35:23.359
<v Speaker 5>Under this synthetic securitization framework, typically the different tranches of

0:35:23.480 --> 0:35:26.400
<v Speaker 5>risk you know, will have different different pricing you know

0:35:26.440 --> 0:35:30.359
<v Speaker 5>what we've seen more recently for that type of mes

0:35:30.640 --> 0:35:34.560
<v Speaker 5>tranching on balance right, And this is just this isn't

0:35:34.640 --> 0:35:37.200
<v Speaker 5>just spread. This is sort of all in coupon. We're

0:35:37.239 --> 0:35:41.320
<v Speaker 5>probably talking about, you know, mid to high single digits

0:35:42.000 --> 0:35:45.520
<v Speaker 5>type of payment on the mezzanine tranch. Now, that's sort

0:35:45.520 --> 0:35:50.200
<v Speaker 5>of the headline coupon that a bank has for these transactions.

0:35:50.600 --> 0:35:53.080
<v Speaker 5>A bank, however, won't just look at the headline coupon

0:35:53.200 --> 0:35:54.840
<v Speaker 5>say you know, this is this is what we're paying.

0:35:55.200 --> 0:35:57.960
<v Speaker 5>What the bank will do is say, okay, these are

0:35:58.000 --> 0:36:01.360
<v Speaker 5>our annual costs no on the mes tranch, on the

0:36:01.400 --> 0:36:05.759
<v Speaker 5>mezzanine tranch, and they will compare that relative to the

0:36:05.800 --> 0:36:09.600
<v Speaker 5>amount of capital that's freed up and together they'll take

0:36:09.640 --> 0:36:13.360
<v Speaker 5>a look and say, okay, well that's my cost of capital,

0:36:13.400 --> 0:36:16.239
<v Speaker 5>the amount of paying investors relative to the amount of

0:36:16.320 --> 0:36:20.680
<v Speaker 5>capital I freed up. That's my cost of capital. And

0:36:20.719 --> 0:36:23.600
<v Speaker 5>then they can also look, the bank can look and say, well,

0:36:24.480 --> 0:36:28.120
<v Speaker 5>what are my alternatives. Well, I can go out and

0:36:28.160 --> 0:36:31.719
<v Speaker 5>issue common equity, but the cost of common equity will

0:36:31.719 --> 0:36:34.960
<v Speaker 5>probably be far north of anything I just described. It

0:36:35.080 --> 0:36:38.439
<v Speaker 5>could issue preferred equity, right, but even on yields today

0:36:38.480 --> 0:36:40.880
<v Speaker 5>will probably be far north of what I just described

0:36:41.040 --> 0:36:45.239
<v Speaker 5>without that same sort of common equity benefit. And that's

0:36:45.239 --> 0:36:48.520
<v Speaker 5>sort of like the general approach a bank would take

0:36:48.640 --> 0:36:53.440
<v Speaker 5>to pricing and really sort of assessing the financial viability

0:36:53.680 --> 0:36:55.200
<v Speaker 5>of these of these transactions.

0:36:55.560 --> 0:36:58.480
<v Speaker 2>Okay, so it has to make financial sense for the bank,

0:36:58.600 --> 0:37:04.200
<v Speaker 2>for the issuer. Can't cost more than issuing equity for instance.

0:37:04.840 --> 0:37:07.640
<v Speaker 2>My understanding, and now we're getting into some of the

0:37:07.680 --> 0:37:12.439
<v Speaker 2>financial stability questions around these, is that because of this,

0:37:12.880 --> 0:37:15.920
<v Speaker 2>the yields or returns being paid on these deals to

0:37:16.080 --> 0:37:18.760
<v Speaker 2>investors on the other side of the trade, the hedge funds,

0:37:18.760 --> 0:37:23.560
<v Speaker 2>the insurers whatever, have sometimes been let's just say mediocre,

0:37:24.320 --> 0:37:28.360
<v Speaker 2>and so there has been a temptation in recent years

0:37:28.400 --> 0:37:33.320
<v Speaker 2>for hedge funds to basically juice the returns by using

0:37:33.760 --> 0:37:37.840
<v Speaker 2>the deals the credit link notes as collateral in the

0:37:37.880 --> 0:37:41.080
<v Speaker 2>repo market, so basically borrowing against them and then you

0:37:41.160 --> 0:37:45.200
<v Speaker 2>get cheaper funding and then your return goes up. So

0:37:45.320 --> 0:37:47.680
<v Speaker 2>I don't know, instead of this is totally hypothetical because

0:37:47.680 --> 0:37:49.560
<v Speaker 2>I don't know the exact numbers, but instead of getting

0:37:49.600 --> 0:37:53.279
<v Speaker 2>six percent, you get nine percent or whatever. Is that

0:37:54.239 --> 0:37:57.839
<v Speaker 2>a worry because it seems kind of weird that we're

0:37:57.880 --> 0:38:02.000
<v Speaker 2>offloading risk from the financial system, but then hedge funds

0:38:02.080 --> 0:38:06.399
<v Speaker 2>are turning around and getting leverage on that risk by

0:38:06.480 --> 0:38:08.200
<v Speaker 2>borrowing from another bank.

0:38:08.480 --> 0:38:12.160
<v Speaker 5>It's hard to assess the amounts outstanding here, and it's

0:38:12.200 --> 0:38:16.200
<v Speaker 5>hard to say whether this is a real or perceived risk.

0:38:16.480 --> 0:38:20.799
<v Speaker 5>My experience, including my experience at FHFA, I think, with

0:38:20.920 --> 0:38:25.239
<v Speaker 5>our conversations I had had with our other federal partners,

0:38:25.520 --> 0:38:28.160
<v Speaker 5>call it whether or not the risk is real or perceived.

0:38:28.160 --> 0:38:31.799
<v Speaker 5>The concern is real, like I said, we can't tell

0:38:31.840 --> 0:38:35.560
<v Speaker 5>you exactly how much that actually happens. I saw a

0:38:35.600 --> 0:38:38.920
<v Speaker 5>bit of that in my past professional life, even before FHFA,

0:38:39.480 --> 0:38:41.799
<v Speaker 5>in the early days of the pandemic. In March of

0:38:41.840 --> 0:38:45.480
<v Speaker 5>twenty twenty, you know, for a brief time when bank

0:38:45.640 --> 0:38:51.640
<v Speaker 5>supplied leverage for GSC CRT ZRT for credit risk transfer

0:38:51.880 --> 0:38:53.360
<v Speaker 5>for GC credit risk transfer.

0:38:53.520 --> 0:38:58.680
<v Speaker 3>Keep up with the whole episode. Sorry, there's the whole episode. Sorry.

0:38:59.160 --> 0:39:00.960
<v Speaker 5>So I'd seen some of that in the early days

0:39:01.000 --> 0:39:03.719
<v Speaker 5>of the pandemic for a brief time with a bank

0:39:03.760 --> 0:39:07.440
<v Speaker 5>supplied leverage for GSC CRT, given that you know, at

0:39:07.480 --> 0:39:10.680
<v Speaker 5>that time the world was basically hit by a meteor

0:39:10.800 --> 0:39:13.600
<v Speaker 5>or the equivalent thereof. You know, you know, this piece

0:39:13.640 --> 0:39:16.520
<v Speaker 5>of it, you know, was was was hardly systemic. I

0:39:16.600 --> 0:39:18.680
<v Speaker 5>would say this, you know, I happen to know that

0:39:18.760 --> 0:39:23.800
<v Speaker 5>many of the dedicated traditional asset managers in this space

0:39:24.160 --> 0:39:27.640
<v Speaker 5>are really buy and hold investors. You don't really rely

0:39:27.920 --> 0:39:30.759
<v Speaker 5>on that type of leverage to boost sort of short

0:39:30.840 --> 0:39:33.799
<v Speaker 5>term returns. I think this gets Joe to your question

0:39:33.800 --> 0:39:35.880
<v Speaker 5>a little bit. Who are these people on the other side,

0:39:36.000 --> 0:39:38.920
<v Speaker 5>and and and many of these you know, more veteran

0:39:39.160 --> 0:39:43.320
<v Speaker 5>investors really are just relying on on the current coupon

0:39:43.480 --> 0:39:47.880
<v Speaker 5>in the current interest that these deals throw off. Certainly,

0:39:48.000 --> 0:39:52.120
<v Speaker 5>what I know in the reinsurance markets right, reinsurance markets

0:39:52.120 --> 0:39:55.640
<v Speaker 5>are buy and hold investors counterparties, I should say, they're

0:39:55.680 --> 0:39:59.080
<v Speaker 5>not really affected by the vagaries of the secondary market.

0:39:59.440 --> 0:40:03.560
<v Speaker 5>But even to the extent, say that there is bank

0:40:03.920 --> 0:40:08.080
<v Speaker 5>supplied leverage to these transactions. I think trace you mentioned

0:40:08.120 --> 0:40:10.400
<v Speaker 5>at the outset, you know, you had an estimate of

0:40:10.400 --> 0:40:12.800
<v Speaker 5>about twenty five billion or so of these deals getting

0:40:12.800 --> 0:40:16.760
<v Speaker 5>done in twenty twenty three. Even if that number doubles

0:40:17.160 --> 0:40:18.839
<v Speaker 5>this year, I don't know that it will, but let's

0:40:18.840 --> 0:40:21.480
<v Speaker 5>just say that that it does if some of that

0:40:22.280 --> 0:40:25.920
<v Speaker 5>risk transferred has some bank leverage on it. Is that systemic?

0:40:27.360 --> 0:40:30.880
<v Speaker 5>You know, forty fifty twenty twenty three, twenty five billion

0:40:31.320 --> 0:40:36.080
<v Speaker 5>of risk transferred. You know that that could increase this year,

0:40:36.280 --> 0:40:38.640
<v Speaker 5>But is that systemic? You know, for the global banking

0:40:38.680 --> 0:40:41.759
<v Speaker 5>system doesn't seem to be.

0:40:42.320 --> 0:40:47.280
<v Speaker 3>So well, So, speaking of systemic risk, and I mentioned

0:40:47.440 --> 0:40:50.399
<v Speaker 3>in the introduction that if we and Tracy mentioned it too,

0:40:50.440 --> 0:40:52.000
<v Speaker 3>you know, if we've been talking about this in two

0:40:52.000 --> 0:40:54.160
<v Speaker 3>thousand and eight, we would talking about credit default chops,

0:40:54.160 --> 0:40:58.800
<v Speaker 3>et cetera. There are other mechanisms for any financial entity

0:40:58.880 --> 0:41:00.960
<v Speaker 3>to take some credit risk off their book. And so

0:41:01.040 --> 0:41:03.799
<v Speaker 3>for a while, they're buying CDs, and unfortunately a bunch

0:41:03.840 --> 0:41:06.280
<v Speaker 3>of them were all buying it from one company, AIG,

0:41:06.480 --> 0:41:09.279
<v Speaker 3>and then we all know what happened with AIG, et cetera.

0:41:09.360 --> 0:41:12.759
<v Speaker 3>But structuring like what happened to this mark to that

0:41:12.920 --> 0:41:16.000
<v Speaker 3>market and why. From the sort of at the most

0:41:16.040 --> 0:41:20.080
<v Speaker 3>sort of conceptual, abstract level, how do you describe the

0:41:20.160 --> 0:41:25.440
<v Speaker 3>sort of market structure differences between these synthetic risk transfers

0:41:25.560 --> 0:41:28.000
<v Speaker 3>or credit risk transfers and credit default swaps.

0:41:29.040 --> 0:41:32.920
<v Speaker 5>Joe, That's a great question, because I actually happen to

0:41:32.960 --> 0:41:39.840
<v Speaker 5>think that much of the current SRTCRT market is actually

0:41:39.880 --> 0:41:42.600
<v Speaker 5>informed by the experience of two thousand and eight. We

0:41:42.680 --> 0:41:44.799
<v Speaker 5>all saw two thousand and eight. We said, don't let

0:41:44.840 --> 0:41:49.879
<v Speaker 5>that happen. Yeah, right, And much of the i'll call

0:41:49.920 --> 0:41:54.279
<v Speaker 5>it polemic around this harks back to two thousand and

0:41:54.320 --> 0:41:57.600
<v Speaker 5>eight in the financial crisis, and when people hear buzzwords

0:41:57.600 --> 0:42:02.240
<v Speaker 5>like synthetic yeah and derivatives know, their stomach start churning.

0:42:03.080 --> 0:42:06.720
<v Speaker 5>But this is different in in in every possible way.

0:42:07.160 --> 0:42:11.880
<v Speaker 5>This is really about hedging actual credit risk that arises

0:42:11.920 --> 0:42:17.319
<v Speaker 5>out of actual normal course of lending activities, not uncapped

0:42:17.520 --> 0:42:22.520
<v Speaker 5>leveraged speculation that was the hallmark of many synthetic securitizations

0:42:22.880 --> 0:42:27.160
<v Speaker 5>pre two thousand and eight. This is about true distribution

0:42:27.239 --> 0:42:30.799
<v Speaker 5>of credit risk rather than concentration of credit risk at

0:42:30.800 --> 0:42:34.759
<v Speaker 5>a number of highly level counterparts counterparties. I wasn't going

0:42:34.800 --> 0:42:38.160
<v Speaker 5>to mention it, but you mentioned aig FP, right, there

0:42:38.239 --> 0:42:44.080
<v Speaker 5>was the poster child for all of this, and you know,

0:42:44.160 --> 0:42:47.840
<v Speaker 5>we take the aig experience and say this is completely

0:42:47.840 --> 0:42:53.200
<v Speaker 5>different because of this hedging versus speculation point. I would

0:42:53.200 --> 0:42:57.239
<v Speaker 5>also I'd also say this, most of these deals are

0:42:57.280 --> 0:43:00.600
<v Speaker 5>fully funded, like we talked about, so no counter party risk.

0:43:00.920 --> 0:43:05.160
<v Speaker 5>The investor money, the investor puts up cash day one

0:43:05.360 --> 0:43:09.840
<v Speaker 5>fully collateralizes the bank for the life of the transaction.

0:43:09.920 --> 0:43:14.000
<v Speaker 5>So it's not like the bank exchanges the underlying credit

0:43:14.120 --> 0:43:18.200
<v Speaker 5>risk of the portfolio for the counterparty risk of the investor. Now,

0:43:18.280 --> 0:43:22.360
<v Speaker 5>to the extent that these are transacted with the reinsurance market,

0:43:22.560 --> 0:43:25.719
<v Speaker 5>you know, rather than with the capital markets, these reinsurance

0:43:25.760 --> 0:43:29.400
<v Speaker 5>counterparties are exactly the opposite of ai g f P.

0:43:29.840 --> 0:43:35.960
<v Speaker 5>There are highly diversified, highly regulated, highly rated, multiline companies

0:43:36.160 --> 0:43:38.719
<v Speaker 5>where the credit exposure that they take on through these

0:43:38.840 --> 0:43:42.799
<v Speaker 5>deals is actually a diversifier and not correlated to their

0:43:42.880 --> 0:43:47.560
<v Speaker 5>sort of underlying core property and casualty business. Right, AI

0:43:47.680 --> 0:43:50.640
<v Speaker 5>g f P was in the business of selling credit

0:43:50.640 --> 0:43:54.439
<v Speaker 5>protection and that's it. And I think a big part

0:43:54.480 --> 0:43:58.480
<v Speaker 5>of this is also alignment of interest. There is actual

0:43:58.560 --> 0:44:01.759
<v Speaker 5>skin in the game from the issuers, right. So so

0:44:01.800 --> 0:44:04.600
<v Speaker 5>we just talked about some you know, illustrative capital structure.

0:44:04.840 --> 0:44:08.120
<v Speaker 5>You know, the issuer of these transactions, banks or the

0:44:08.160 --> 0:44:11.640
<v Speaker 5>gcs have skin in the game and almost every tranch

0:44:11.880 --> 0:44:15.040
<v Speaker 5>of this of this of these transactions, right. And I

0:44:15.080 --> 0:44:18.320
<v Speaker 5>think that's also a key differentiation in terms of linement

0:44:18.400 --> 0:44:20.600
<v Speaker 5>of interest and risk retention.

0:44:21.520 --> 0:44:24.759
<v Speaker 2>So we kind of came full circle just then back

0:44:24.840 --> 0:44:28.080
<v Speaker 2>to two thousand and eight and the experience there. Given

0:44:28.120 --> 0:44:32.040
<v Speaker 2>that and given your storied career in working with banks

0:44:32.040 --> 0:44:35.399
<v Speaker 2>and advising banks, I have to ask you, what's the

0:44:35.480 --> 0:44:38.640
<v Speaker 2>dumbest thing you've ever seen bank management do?

0:44:40.840 --> 0:44:43.239
<v Speaker 3>And name the individual so I can look them up

0:44:43.239 --> 0:44:43.720
<v Speaker 3>on LinkedIn.

0:44:44.040 --> 0:44:44.920
<v Speaker 4>Just don't do that.

0:44:45.800 --> 0:44:48.600
<v Speaker 5>Maybe we could save this for some off the record conversations.

0:44:50.160 --> 0:44:54.120
<v Speaker 5>I have seen many things in my career, both you know,

0:44:54.360 --> 0:44:57.040
<v Speaker 5>sort of pre two thousand and eight through two thousand

0:44:57.040 --> 0:45:02.080
<v Speaker 5>and eight, and since I don't want to name any individuals,

0:45:02.239 --> 0:45:04.600
<v Speaker 5>of course, of course, but but but but this is

0:45:04.600 --> 0:45:05.520
<v Speaker 5>what I would say.

0:45:05.680 --> 0:45:05.839
<v Speaker 3>Uh.

0:45:05.920 --> 0:45:08.399
<v Speaker 5>And and I really came to even appreciate this more

0:45:09.080 --> 0:45:13.440
<v Speaker 5>during my time in government. Uh And this tracy to

0:45:13.480 --> 0:45:19.279
<v Speaker 5>your point going full circle. Banks face many constraints. They

0:45:19.360 --> 0:45:25.520
<v Speaker 5>have many stakeholders, right, both internally and externally, whether it's

0:45:25.800 --> 0:45:28.919
<v Speaker 5>you know, banks have employees, whether they have shareholders, whether

0:45:28.920 --> 0:45:33.399
<v Speaker 5>they have depositors. There aren't just like normal consumers. Uh uh.

0:45:33.440 --> 0:45:36.040
<v Speaker 5>And then externally they have regulators and this and then

0:45:36.120 --> 0:45:39.839
<v Speaker 5>again this isn't just like you know regulator supervisors, right,

0:45:39.840 --> 0:45:41.640
<v Speaker 5>this is also you know things like the fd I

0:45:41.719 --> 0:45:47.560
<v Speaker 5>C Right, we're actually protecting depositors. Banks face many constraints.

0:45:47.719 --> 0:45:52.120
<v Speaker 5>They have a lot of stakeholders they have to answer to,

0:45:52.480 --> 0:45:55.759
<v Speaker 5>and I think that's just an incredibly difficult job this

0:45:55.880 --> 0:45:59.000
<v Speaker 5>day and age. And I think that these types of

0:45:59.040 --> 0:46:02.160
<v Speaker 5>transactions again just like one tool in their toolkit to

0:46:02.760 --> 0:46:07.160
<v Speaker 5>help manage these these different stakeholders. I've seen I've seen

0:46:07.200 --> 0:46:10.680
<v Speaker 5>bank leaderships and other financial institutions sort of get in

0:46:10.760 --> 0:46:13.920
<v Speaker 5>trouble when they lose sight of all these different stakeholders

0:46:13.920 --> 0:46:14.600
<v Speaker 5>they have to manage.

0:46:14.760 --> 0:46:18.400
<v Speaker 2>Very diplomatic answer, that's a very diplomatic answer. We'll have

0:46:18.400 --> 0:46:21.640
<v Speaker 2>to get the real answer, I guess I'll yeah, So

0:46:21.719 --> 0:46:25.680
<v Speaker 2>apologies to the listeners, but Micky, that was a fantastic conversation.

0:46:25.840 --> 0:46:29.200
<v Speaker 2>I feel like I understand these deals a lot better now.

0:46:29.280 --> 0:46:31.720
<v Speaker 2>So thank you so much for coming on all thoughts

0:46:31.719 --> 0:46:32.879
<v Speaker 2>and explaining them to us.

0:46:33.680 --> 0:46:36.400
<v Speaker 5>Tracy, Joe, thank you very much. Appreciate the invitation.

0:46:36.680 --> 0:46:37.640
<v Speaker 3>Yeah, that was very fan.

0:46:37.800 --> 0:46:51.680
<v Speaker 4>That was great, Joe.

0:46:51.800 --> 0:46:54.640
<v Speaker 2>I enjoyed that conversation so much. It just it feels

0:46:54.680 --> 0:46:59.080
<v Speaker 2>good to have a sort of acronym Leyden discussion. I'm

0:46:59.120 --> 0:47:00.480
<v Speaker 2>trying to think of all the one that we hit,

0:47:00.520 --> 0:47:06.600
<v Speaker 2>like CRT, SRT, RWA, RRBC, SME, CDs, CLN, there is

0:47:06.600 --> 0:47:07.160
<v Speaker 2>probably more.

0:47:07.280 --> 0:47:10.480
<v Speaker 3>You know, it was an acronym laden conversation, but he

0:47:10.600 --> 0:47:14.759
<v Speaker 3>was very clear, and I think the two things that

0:47:14.800 --> 0:47:17.440
<v Speaker 3>I really you know, two of the big things that

0:47:17.520 --> 0:47:19.800
<v Speaker 3>I think about, Like is he mentioned we sort of mentioned,

0:47:19.800 --> 0:47:22.279
<v Speaker 3>you know, people's like alarm bells go off and they

0:47:22.280 --> 0:47:24.680
<v Speaker 3>hear things like synthetic ris transfer and all that stuff.

0:47:24.719 --> 0:47:28.319
<v Speaker 3>But the two things that like, this structure, the sort

0:47:28.320 --> 0:47:30.880
<v Speaker 3>of cat bond fully funded. We're going to put the

0:47:30.920 --> 0:47:34.960
<v Speaker 3>money in a pot up front, which we expect to

0:47:34.960 --> 0:47:40.160
<v Speaker 3>take back minus any losses. Inherently I think seems less risky,

0:47:40.200 --> 0:47:42.680
<v Speaker 3>although you mentioned there are ways to transform that risk,

0:47:42.719 --> 0:47:45.080
<v Speaker 3>but it seems less risky than like one where you're

0:47:45.120 --> 0:47:48.840
<v Speaker 3>depending on the credit strength of your car counterparty like

0:47:48.880 --> 0:47:53.120
<v Speaker 3>an AIGFP. And then also there's other big theme that

0:47:53.120 --> 0:47:55.520
<v Speaker 3>we've seen in the post grade financial crisis era of

0:47:55.560 --> 0:47:59.839
<v Speaker 3>like distributed risk. Yes to non regulated institutions like hedge

0:47:59.840 --> 0:48:03.520
<v Speaker 3>f or so forth, which are designed in some level

0:48:04.160 --> 0:48:07.160
<v Speaker 3>to take risk, and if they lose money, that's okay

0:48:07.239 --> 0:48:09.359
<v Speaker 3>because that's part of why they exist and why they

0:48:09.360 --> 0:48:09.840
<v Speaker 3>make money.

0:48:09.920 --> 0:48:12.319
<v Speaker 2>That's exactly what I was going to say, is this

0:48:12.560 --> 0:48:16.680
<v Speaker 2>outcome is kind of what financial regulators would have been

0:48:16.800 --> 0:48:19.879
<v Speaker 2>envisioning PLUS two thousand and eight, where they want to

0:48:20.040 --> 0:48:23.000
<v Speaker 2>shift a lot of the risk of unexpected losses from

0:48:23.040 --> 0:48:27.640
<v Speaker 2>bank loans onto non bank entities who you know, you

0:48:27.640 --> 0:48:30.240
<v Speaker 2>don't have to It's bad if a hedge fund goes under,

0:48:30.320 --> 0:48:31.680
<v Speaker 2>obviously or you.

0:48:31.640 --> 0:48:33.640
<v Speaker 3>Know, but it's less bad than if a banker.

0:48:33.880 --> 0:48:36.279
<v Speaker 2>Yeah, I was going to throw out another acronym, a

0:48:36.320 --> 0:48:39.879
<v Speaker 2>BDC a business development company goes under. But yes, it's

0:48:39.960 --> 0:48:42.359
<v Speaker 2>less bad than if a regulated bank goes under. There's

0:48:42.440 --> 0:48:46.840
<v Speaker 2>less systemic implications. Hopefully that was the thought process, and

0:48:46.840 --> 0:48:49.000
<v Speaker 2>I should just say we didn't actually get to it

0:48:49.080 --> 0:48:53.720
<v Speaker 2>because of time constraints, but the timing of these things

0:48:53.719 --> 0:48:55.919
<v Speaker 2>in the US, at least you can trace that back

0:48:55.920 --> 0:48:58.239
<v Speaker 2>to regulators as well. So last year, I think it

0:48:58.320 --> 0:49:02.239
<v Speaker 2>was September twenty twenty three, the FED basically issued guidance

0:49:02.640 --> 0:49:05.640
<v Speaker 2>on these deals, so sort of gave its blessing to

0:49:05.760 --> 0:49:08.760
<v Speaker 2>these things and said like, okay, if there's a genuine

0:49:08.840 --> 0:49:13.240
<v Speaker 2>risk transfer here, we're okay with the resulting capital relief

0:49:13.280 --> 0:49:15.560
<v Speaker 2>that comes out of it. And again, I think there

0:49:15.560 --> 0:49:19.400
<v Speaker 2>are questions about specific deals and how they're structured.

0:49:19.239 --> 0:49:22.399
<v Speaker 3>And what's in the notes and all, and then the.

0:49:22.360 --> 0:49:26.319
<v Speaker 2>Repo leverage, and there is some irony where if you

0:49:26.400 --> 0:49:28.719
<v Speaker 2>have these deals and you're trying to shift risk out

0:49:28.719 --> 0:49:30.719
<v Speaker 2>of the banking system, and then it comes right back

0:49:30.760 --> 0:49:34.600
<v Speaker 2>into the banking system because the investor is borrowing against

0:49:34.640 --> 0:49:38.120
<v Speaker 2>the deal, Like that doesn't seem to be an ideal outcome.

0:49:38.719 --> 0:49:41.160
<v Speaker 2>But as Mickey was saying, we're probably not at the

0:49:41.239 --> 0:49:44.120
<v Speaker 2>point yet where it's something that people are doing at

0:49:44.160 --> 0:49:45.680
<v Speaker 2>like a massive scale.

0:49:45.920 --> 0:49:49.160
<v Speaker 3>It's nowhere near massive, but it is your point, right, Like,

0:49:49.200 --> 0:49:52.280
<v Speaker 3>if I'm an entity and I buy one of these bonds,

0:49:52.520 --> 0:49:54.919
<v Speaker 3>there's at least some chance that I'm going to try

0:49:54.960 --> 0:49:57.440
<v Speaker 3>to borrow against that bonds to juce my returns. And

0:49:57.440 --> 0:50:00.680
<v Speaker 3>if I'm borrowing from a bank. This is fineancial markets.

0:50:00.719 --> 0:50:02.799
<v Speaker 3>I mean, this is just what financial markets do. They

0:50:02.800 --> 0:50:05.080
<v Speaker 3>find a way to press it. And so I think,

0:50:05.239 --> 0:50:08.520
<v Speaker 3>you know, it sounds like something to watch, not like, oh,

0:50:08.520 --> 0:50:10.120
<v Speaker 3>this is a big red flag and there's like a

0:50:10.200 --> 0:50:13.719
<v Speaker 3>lurking time. But I'm underneath the banking system. But you know,

0:50:13.840 --> 0:50:16.040
<v Speaker 3>like I said, the market is not that big. But

0:50:16.120 --> 0:50:19.160
<v Speaker 3>if I have this bond and it's designed to protect

0:50:19.200 --> 0:50:21.719
<v Speaker 3>the banks from risk, but then I'm borrowing against that

0:50:21.840 --> 0:50:24.600
<v Speaker 3>bond from a bank, you could see how risk should emerge.

0:50:24.840 --> 0:50:28.480
<v Speaker 2>Yeah, that seems not like what was intended. But anyway,

0:50:28.560 --> 0:50:30.520
<v Speaker 2>this was a fun, Yeah it was. This is a

0:50:30.560 --> 0:50:34.680
<v Speaker 2>fun like nibble at structured credit. Yeah. In the interests

0:50:34.680 --> 0:50:37.799
<v Speaker 2>of continuing to gorge ourselves on this, I really want

0:50:37.840 --> 0:50:41.359
<v Speaker 2>to do an episode on the original like JPM Yes Trades,

0:50:41.760 --> 0:50:45.360
<v Speaker 2>Like let's just go back, let's do a financial history

0:50:45.520 --> 0:50:47.880
<v Speaker 2>down for that kind Okay, all right, Well in the meantime,

0:50:47.880 --> 0:50:48.640
<v Speaker 2>shall we leave it there?

0:50:48.719 --> 0:50:49.520
<v Speaker 3>Let's leave it there.

0:50:49.760 --> 0:50:52.560
<v Speaker 2>This has been another episode of the All Thoughts podcast.

0:50:52.640 --> 0:50:56.000
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy Alloway.

0:50:55.600 --> 0:50:57.560
<v Speaker 3>And I'm Jill Wisenthal. You can follow me at The

0:50:57.560 --> 0:51:01.200
<v Speaker 3>Stalwart follow our producers Carmen rodrig Is at Carman Ermann

0:51:01.280 --> 0:51:04.840
<v Speaker 3>Dashel Bennett at Dashbot and kill Brooks at Kilbrooks. And

0:51:04.880 --> 0:51:07.560
<v Speaker 3>thank you to our producer Moses Ondam. And for more

0:51:07.560 --> 0:51:10.480
<v Speaker 3>odd Lags content, go to Bloomberg dot com slash odd Lots.

0:51:10.600 --> 0:51:13.440
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0:51:13.440 --> 0:51:15.440
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0:51:20.239 --> 0:51:22.040
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