WEBVTT - Inside the Changing World of the Sell-Side Analyst

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<v Speaker 1>Hello, and welcome to another edition of the Odd Lots Podcast.

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<v Speaker 1>I'm Tracy Allaway and I'm Joe. Wasn't so, Joe? What

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<v Speaker 1>are we talking about today? Analysts? Wait wait, wait before

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<v Speaker 1>we get to that, can we just say this is

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<v Speaker 1>not just another edition of the Outlaws podcast, and that

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<v Speaker 1>this is a special edition of the Outlaws podcast. Why

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<v Speaker 1>is it special because I am in the same room

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<v Speaker 1>with you. I'm looking at your face as we're talking.

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<v Speaker 1>Normally we're in other studios around the world, and so

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<v Speaker 1>it's a very special moment where we happen to both

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<v Speaker 1>be in the same city at the same time. So

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<v Speaker 1>I just want to take a moment to appreciate how

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<v Speaker 1>how nice this is. I like how you say we're

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<v Speaker 1>in the same studios when in reality, I'm sitting on

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<v Speaker 1>my living room floor. Right. I was trying. I didn't

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<v Speaker 1>know if you wanted that information normally to get out there,

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<v Speaker 1>so I use that as euphemism. But yes, normally I'm

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<v Speaker 1>in a student you your in your your living room floor.

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<v Speaker 1>But this time we're in the same studio about ten

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<v Speaker 1>feet away. Right, we are reunited and it feels so good.

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<v Speaker 1>I guess, okay, all right, But in all in all seriousness,

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<v Speaker 1>let's get down to business. We are discussing a topic

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<v Speaker 1>that I think is kind of close to both our

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<v Speaker 1>hearts today, analysts and analyst research. Yes, I don't think

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<v Speaker 1>it's intuitively obvious when someone says, oh, analyst research is

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<v Speaker 1>close to your heart, Maybe that's like not the kind

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<v Speaker 1>of thing that makes a lot of sense to people.

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<v Speaker 1>But I think as people will see and the course

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<v Speaker 1>of our discussion, for both of our careers, analyst research

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<v Speaker 1>has played an important role. Absolutely so. I think a

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<v Speaker 1>lot of people will have noticed by now that there

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<v Speaker 1>is a significant segment of financial media that zeros in

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<v Speaker 1>on the cell side research being produced, and that kind

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<v Speaker 1>of gives people ideas for stories or sometimes the stories themselves.

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<v Speaker 1>You write up an analyst note and it can be

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<v Speaker 1>a big deal. And just so people understand and um,

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<v Speaker 1>when we talk about analyst research in the cell side,

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<v Speaker 1>for those who don't know what those terms mean, we're

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<v Speaker 1>talking about what you've seen those stories like Goldman Sachs

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<v Speaker 1>is bullish on Tesla and and and or Goldman Sacks

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<v Speaker 1>upgrades Tesla to a buy or Morgan Stanley downgrades its

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<v Speaker 1>forecast for the third quarter GDP or whatever it is,

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<v Speaker 1>and you see those headlines, you see those stories, and

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<v Speaker 1>that refers to the people at the big banks typically

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<v Speaker 1>though not always, who write up reports on various things

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<v Speaker 1>and markets in the economy that both you know, traders

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<v Speaker 1>and investors and of course journalists we we like to

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<v Speaker 1>pour through it. So what are we talking about this today?

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<v Speaker 1>All right? So analysts and their research have been a

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<v Speaker 1>big part of our lives. But at the same time,

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<v Speaker 1>the industry has been going through its own i guess,

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<v Speaker 1>existential crisis and also business crisis. In the same way

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<v Speaker 1>that the media has struggled to monetize the stories that

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<v Speaker 1>we're producing, there's a similar question facing the analyst community

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<v Speaker 1>right now. There's also a big, big change coming in

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<v Speaker 1>the form of new regulation called MiFID, which is basically

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<v Speaker 1>going to force the people that produce research to charge

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<v Speaker 1>for it in a way that hasn't been done historically.

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<v Speaker 1>And this is key. Lots of people get research reports

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<v Speaker 1>for free because they trade with the bank, uh and

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<v Speaker 1>they give them commissions in that way, and then the

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<v Speaker 1>research is kind of a free bonus for them. Well,

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<v Speaker 1>I've never understood the business of analyst research, like how

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<v Speaker 1>analysts get paid, How banks make money on it, and

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<v Speaker 1>I certainly don't understand what the new regulations are all

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<v Speaker 1>about or what they're intended to do. So I'm very

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<v Speaker 1>excited about this episode. Who are we going to talk to?

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<v Speaker 1>All right, so we actually have one of my all

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<v Speaker 1>time favorite analysts. It's Steven Abraham's. He used to be

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<v Speaker 1>head of mortgage, bond and securitization research over at Deutsche Bank,

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<v Speaker 1>but he recently left to go found or co found

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<v Speaker 1>mile Post Capital Management and he is now see EO

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<v Speaker 1>over there as well. So should we bring them on?

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<v Speaker 1>Let's do it. Steven, Welcome to the show. Hi, Tracy,

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<v Speaker 1>Hey Joe, how are you so? Maybe just before we begin,

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<v Speaker 1>do you want to give a sort of analyst job

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<v Speaker 1>in a nutshell kind of description? Well, I think a

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<v Speaker 1>good analyst actually is probably a lot like any good journalist. Really.

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<v Speaker 1>You are always basically out there trying to chase the

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<v Speaker 1>biggest possible story that you think might exist in your market.

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<v Speaker 1>You want to get there first, You want to get

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<v Speaker 1>there with the best information, and you want to deliver

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<v Speaker 1>it with all the style you can muster. How you

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<v Speaker 1>do that really depends upon what part of the world

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<v Speaker 1>you're focusing. On. If you're an equity analyst, then you're

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<v Speaker 1>trying to understand the latest about how your company's markets

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<v Speaker 1>may be evolving or the strategies that you're rolling out.

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<v Speaker 1>If you're in fixed income, which is where I've spent

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<v Speaker 1>my career, then uh, you may be focused on the economy.

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<v Speaker 1>You may be focused on what the FED is doing.

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<v Speaker 1>You may be focused on specific twists in your own market.

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<v Speaker 1>Mortgages have been mine, and you just want to get

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<v Speaker 1>there first and get that information out to your audience.

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<v Speaker 1>I have a feeling we're gonna be talking about the

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<v Speaker 1>parallels of journalism and being an analyst a lot on

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<v Speaker 1>this because just hearing you talk, I already have so

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<v Speaker 1>many questions. But you know, one of the questions that

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<v Speaker 1>comes up for a journalist is like, what is a

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<v Speaker 1>job well done? And so I'm curious for you what

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<v Speaker 1>what you during the course of your career have considered

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<v Speaker 1>to be like a job well done? Is it having

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<v Speaker 1>correct calls? Is it wanting people? Is that having people

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<v Speaker 1>want to read your stuff first versus other analysts? Like

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<v Speaker 1>when you look back and I say, okay, I was

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<v Speaker 1>successful at X, what are the how do you benchmark

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<v Speaker 1>yourself well I think it's parts of both what you mentioned.

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<v Speaker 1>I think the audience that you're speaking to UH desperately

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<v Speaker 1>wants UM to be the first to know what is

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<v Speaker 1>changing in their marketplace, and sitting on a trading floor

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<v Speaker 1>or sitting at one of the larger banks usually gives

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<v Speaker 1>you access to tremendous information flow. That information flow can

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<v Speaker 1>come through the traders, because especially at larger places, they're

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<v Speaker 1>seeing the various types of institutions that are buying and

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<v Speaker 1>selling UH. It can come through the salesforce, who can

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<v Speaker 1>often share information about UH, the views of their clients, UH,

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<v Speaker 1>the kinds of assets that they may or may not

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<v Speaker 1>be enthusiastic about. And you can often find in the

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<v Speaker 1>midst of these streams of information little tidbits that you

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<v Speaker 1>suspect are not broadly known in the marketplace, and those

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<v Speaker 1>are the pieces of information that end up moving the market,

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<v Speaker 1>essentially changing the price of one or a sector of

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<v Speaker 1>assets when all other parts of the market, for practical purposes,

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<v Speaker 1>may be standing still. That's the kind of information that

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<v Speaker 1>can make or break an investment portfolio. And that's the

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<v Speaker 1>kind of information that any good member of the by

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<v Speaker 1>side audience wants to hear. So if that's the game,

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<v Speaker 1>you really want to keep your ears open for those

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<v Speaker 1>tidbits of information that you think signal things that could

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<v Speaker 1>move the market. Sometimes they're small, sometimes they can be huge,

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<v Speaker 1>and when you find that, that's a good day, that's

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<v Speaker 1>a job well done. So I've always been curious how

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<v Speaker 1>are analysts perceived within south side banks, because externally, we

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<v Speaker 1>in the financial media zero in on a couple like

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<v Speaker 1>rock star analyst names like Peter Oppenheimer at Goldman or

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<v Speaker 1>Marco Kolonovitch at JP Morgan. Do they have the same

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<v Speaker 1>cashe internally or is analysts and analyst research viewed as

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<v Speaker 1>basically a cost center for the bank? Well, um, I

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<v Speaker 1>think most firms, most firms, at least the places that

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<v Speaker 1>I've worked, and I think this is just broadly true.

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<v Speaker 1>Recognize that that good research and a good analyst just

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<v Speaker 1>separates you from your competitors. If you imagine a market

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<v Speaker 1>where they're really were no good, aggressive, compelling analysts, then

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<v Speaker 1>essentially you have a market where there is simply price

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<v Speaker 1>execution that the bank could offer their clients if the

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<v Speaker 1>analysts brings good information, or if the analyst is able

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<v Speaker 1>to take lots of information and synthesize it in a

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<v Speaker 1>way that allows the audience of investors to understand and

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<v Speaker 1>react to it. That's extremely valuable, and it is a

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<v Speaker 1>service that the bank can provide that many of of

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<v Speaker 1>their clients in turn value and over time will direct

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<v Speaker 1>progressively more of their business towards the providing bank. And

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<v Speaker 1>I think in a well run institution, that's the way

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<v Speaker 1>good research um helps the investor and helps the bank.

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<v Speaker 1>So your last answer there really gets to a question

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<v Speaker 1>that I think a lot of people have about the

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<v Speaker 1>business model Becau has. Let's say you unearthed some great

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<v Speaker 1>negative insight. I want to trade on that a why

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<v Speaker 1>can't I just go trade with a competitor use the

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<v Speaker 1>information that you've get that you've provided me. I have

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<v Speaker 1>a big trade idea. Go trade with a competitor or

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<v Speaker 1>maybe a place a little bit of a trade through

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<v Speaker 1>your bank to sort of show that Okay, thanks for

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<v Speaker 1>that information, but then trade do the bulk of my

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<v Speaker 1>trading somewhere else. There seems to there doesn't seem to

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<v Speaker 1>be a mechanism that naturally connects the bank that offered

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<v Speaker 1>you the really compelling information and a reason to actually

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<v Speaker 1>execute orders through that bank. Yeah, I agree. Um. That

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<v Speaker 1>has always been a problem with with sell side research.

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<v Speaker 1>There's always the issue of free riders. I have never

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<v Speaker 1>seen a completely satisfactory solution for it. I think a

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<v Speaker 1>well organized bank does have the ability to UH roughly speaking,

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<v Speaker 1>track and understand the proportion of the trading business that

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<v Speaker 1>the account is providing to the bank, and that is

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<v Speaker 1>the best way of looking at the ability of the

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<v Speaker 1>analysts to help the bank generate trading revenue and effectively

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<v Speaker 1>pay for the service provided. But it's a imperfect mechanism,

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<v Speaker 1>so it's always been a problem. UM. Talk to us though,

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<v Speaker 1>how the industry has changed over the years, because there

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<v Speaker 1>is a sense nowadays that analysts are facing a little

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<v Speaker 1>bit of maybe crisis is a strong word, but that

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<v Speaker 1>they're struggling with this monetization issue, and it feels like

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<v Speaker 1>that concern has been growing. Has it actually changed well, Um,

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<v Speaker 1>I think that on the equity side, I think it's

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<v Speaker 1>the change is clearer and it seems like we're about

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<v Speaker 1>to go into, you know, arguably a third chapter in

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<v Speaker 1>the equity search model. I'd say the first chapter was

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<v Speaker 1>pre Internet crisis, if you remember that one, UH and

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<v Speaker 1>pre Internet crisis, equity analysts routinely had um special access

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<v Speaker 1>to corporate management, and what they learned in the course

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<v Speaker 1>of those conversations often could be shared with a limited

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<v Speaker 1>range of clients, and it was clear to the bank,

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<v Speaker 1>it was clear to the clients, it was clear to

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<v Speaker 1>the analysts that that was a clubby form of information flow.

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<v Speaker 1>After the crisis, I think regulation stopped that, which created

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<v Speaker 1>frankly fairer markets, and the market is essentially operated in

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<v Speaker 1>a post Internet crisis mode until recently with the introduction

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<v Speaker 1>in the EU at least of the method regulations and

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<v Speaker 1>method obviously is trying to put a very specific price

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<v Speaker 1>on the provision of of research. Whether it will do

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<v Speaker 1>that successfully is still to be determined at an't I

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<v Speaker 1>contrast that though with fixed income research, I would say

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<v Speaker 1>that in many respects fixed income research, since it is

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<v Speaker 1>often focused more on macro issues than on the particulars

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<v Speaker 1>of a management team or a specific balance sheet, Fixed

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<v Speaker 1>income research, at least in terms of its method, the

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<v Speaker 1>way that it interacts with uh internal and external clientele

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<v Speaker 1>hasn't really changed as much over the years. UM. You know,

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<v Speaker 1>obviously there's there's constant awareness of abiding by the evolving

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<v Speaker 1>regulations that need to provide fair and accurate research, and

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<v Speaker 1>there's always been an overriding I think premium attached to

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<v Speaker 1>analysts that provide straight down the middle views of their markets. Um,

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<v Speaker 1>that's not always obvious, but still I think the investing

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<v Speaker 1>side has always been able to identify and appreciate those analysts,

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<v Speaker 1>and and the fixed income and the more macro side

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<v Speaker 1>of the research enterprise has had much less changed than

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<v Speaker 1>the equity side. I think that that's still probably the case.

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<v Speaker 1>I'm so glad we're having this conversation because now I'm

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<v Speaker 1>remembering like millions of questions I've always had about the

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<v Speaker 1>business that I'm so uh that I've always wanted to

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<v Speaker 1>ask someone. So here's your last answer. Why is it

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<v Speaker 1>that by side clients need analysts to understand the markets

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<v Speaker 1>that they're us that they're trading in that they're ostensibly

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<v Speaker 1>get paid quite a bit for to determine, you know,

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<v Speaker 1>what the best stuff to buy and sell us. So,

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<v Speaker 1>in the fixed income space, if someone is a fixed

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<v Speaker 1>income portfolio manager, what is it that you offer them,

0:15:13.400 --> 0:15:16.560
<v Speaker 1>or that fixed income analysts offers that it would be

0:15:17.000 --> 0:15:21.360
<v Speaker 1>uneconomic for them to sort of understand themselves or put

0:15:21.360 --> 0:15:26.080
<v Speaker 1>in the work themselves to figure out well. UM, I

0:15:26.120 --> 0:15:31.040
<v Speaker 1>would say the simplest example, uh, really is the place

0:15:31.040 --> 0:15:35.240
<v Speaker 1>where I started my career, and that is in the

0:15:35.320 --> 0:15:43.400
<v Speaker 1>mortgage space. Analyzing the behavior of homeowners that influence sometimes significantly,

0:15:43.480 --> 0:15:49.720
<v Speaker 1>the value of of those securities. UM. It's a market

0:15:49.760 --> 0:15:54.200
<v Speaker 1>that's particular to the United States, but all mortgage securities

0:15:54.240 --> 0:16:00.680
<v Speaker 1>in the United States give the borrower the right to move, refinance,

0:16:00.880 --> 0:16:04.880
<v Speaker 1>or otherwise pay their loan back early in most cases

0:16:04.880 --> 0:16:10.720
<v Speaker 1>without any kind of penalty. So that creates uncertainty in

0:16:10.920 --> 0:16:14.560
<v Speaker 1>the stream of cash flows that you would get from

0:16:14.600 --> 0:16:19.720
<v Speaker 1>holding that security, and depending upon the nature of the security,

0:16:19.720 --> 0:16:24.880
<v Speaker 1>how it structured, those can have either minor or major

0:16:24.960 --> 0:16:30.520
<v Speaker 1>influence on security value. That really is an exercise in

0:16:31.680 --> 0:16:38.440
<v Speaker 1>gathering tremendous amounts of data and statistically modeling that data.

0:16:38.720 --> 0:16:42.360
<v Speaker 1>So it is far more efficient for that activity to

0:16:43.080 --> 0:16:46.880
<v Speaker 1>occur in a centralized place and for the results of

0:16:46.880 --> 0:16:51.040
<v Speaker 1>that activity to be than delivered to clients, as opposed

0:16:51.040 --> 0:16:56.080
<v Speaker 1>to having every single client separately aggregate the data and

0:16:56.120 --> 0:16:59.160
<v Speaker 1>then do the statistical modeling on their own. So that's

0:16:59.200 --> 0:17:04.159
<v Speaker 1>probably the easiest case. I would also say that it's

0:17:04.280 --> 0:17:07.840
<v Speaker 1>far easier for an analyst even if an analyst is

0:17:07.880 --> 0:17:12.400
<v Speaker 1>just trying to aggregate broad information about the types of

0:17:12.400 --> 0:17:16.080
<v Speaker 1>buyers and sellers in the market. Uh, it's far easier

0:17:16.119 --> 0:17:18.639
<v Speaker 1>for an analyst sitting on a trading floor to aggregate

0:17:18.680 --> 0:17:23.240
<v Speaker 1>that information than it usually would be from most buy

0:17:23.359 --> 0:17:27.920
<v Speaker 1>side analysts. The sell side analysts, in many cases can

0:17:28.000 --> 0:17:32.119
<v Speaker 1>literally walk up and down a couple of aisles, have

0:17:32.600 --> 0:17:37.800
<v Speaker 1>a handful of conversations with sales representatives or traders that

0:17:37.840 --> 0:17:42.520
<v Speaker 1>are interacting with dozens of various accounts over the course

0:17:42.800 --> 0:17:46.600
<v Speaker 1>of just you know, that particular trading day, and get

0:17:46.600 --> 0:17:48.960
<v Speaker 1>a very clear read on what's happening. It would be

0:17:49.480 --> 0:17:52.600
<v Speaker 1>a lot more work for a sell side analyst to

0:17:52.920 --> 0:17:56.880
<v Speaker 1>collect that kind of information over the phone. Now that's

0:17:56.920 --> 0:18:01.240
<v Speaker 1>not always true. If you're at an extremely large asset

0:18:01.320 --> 0:18:07.520
<v Speaker 1>manager UM, they would often have information flow analysts. The

0:18:07.600 --> 0:18:11.680
<v Speaker 1>ability to aggregate data, the ability to analyze that data

0:18:12.359 --> 0:18:18.000
<v Speaker 1>equal to, if not better than, some of the cell

0:18:18.119 --> 0:18:23.200
<v Speaker 1>side shops. But shops that large are few and far between.

0:18:23.840 --> 0:18:26.800
<v Speaker 1>So the provision of that kind of information from the

0:18:26.840 --> 0:18:29.720
<v Speaker 1>cell side, if you want to think of it this way,

0:18:29.840 --> 0:18:33.520
<v Speaker 1>is really kind of a democratizing influence. It captures that

0:18:33.600 --> 0:18:36.600
<v Speaker 1>information in an efficient way, and then it spins it

0:18:36.640 --> 0:18:41.600
<v Speaker 1>out into the marketplace in many cases for investors that

0:18:41.600 --> 0:18:45.399
<v Speaker 1>would be too small and too focused on other things

0:18:45.920 --> 0:18:58.399
<v Speaker 1>on their own to to to do it themselves. I

0:18:58.440 --> 0:19:01.359
<v Speaker 1>want to go back to the media a parallel for

0:19:01.400 --> 0:19:05.560
<v Speaker 1>a little bit. Yeah, more naval gazing. Um well, I

0:19:05.560 --> 0:19:08.600
<v Speaker 1>don't think it's a secret that you know. Traditional journalism

0:19:08.680 --> 0:19:11.960
<v Speaker 1>or media has struggled over the past few years, especially

0:19:12.040 --> 0:19:16.800
<v Speaker 1>in light of the growing influence of the Internet, which

0:19:16.920 --> 0:19:21.600
<v Speaker 1>has made news sort of more commoditized. So a scoop

0:19:21.640 --> 0:19:24.600
<v Speaker 1>only exists for what five or ten minutes before someone

0:19:24.600 --> 0:19:28.240
<v Speaker 1>else is disseminating it to the world arguably one second.

0:19:28.960 --> 0:19:32.280
<v Speaker 1>And it also means that you just have more competitors

0:19:32.320 --> 0:19:35.400
<v Speaker 1>in a variety of forms. Um So, I'm curious when

0:19:35.400 --> 0:19:39.200
<v Speaker 1>it comes to research, did you observe the same things

0:19:39.640 --> 0:19:42.399
<v Speaker 1>and how did you feel? For instance, if you wrote

0:19:42.520 --> 0:19:45.600
<v Speaker 1>a really good note and someone like myself or Joe

0:19:45.640 --> 0:19:50.159
<v Speaker 1>would immediately write it up at say FT Alphabel, my

0:19:50.200 --> 0:19:55.399
<v Speaker 1>old employer or Joe's old employer business insider, well, I

0:19:55.400 --> 0:19:59.760
<v Speaker 1>would say, uh. In most cases, a good analyst loves

0:20:00.359 --> 0:20:05.160
<v Speaker 1>the bullhorn of the media. You love to get magnified

0:20:05.200 --> 0:20:10.439
<v Speaker 1>that way. In many, many cases, the first recipients of

0:20:10.520 --> 0:20:17.080
<v Speaker 1>your work are the institutions that are the clients of

0:20:17.160 --> 0:20:20.520
<v Speaker 1>the firm, and they're typically going to get that information

0:20:21.240 --> 0:20:26.199
<v Speaker 1>on direct distribution. Uh, there's nothing better than having that

0:20:26.240 --> 0:20:29.760
<v Speaker 1>story picked up. In most cases, it won't be picked

0:20:29.840 --> 0:20:32.280
<v Speaker 1>up immediately, but let's just say it's picked up with

0:20:32.359 --> 0:20:38.080
<v Speaker 1>some lag and then magnified in the broader press. It

0:20:38.200 --> 0:20:42.400
<v Speaker 1>kind of sends a couple of messages to the clients

0:20:42.400 --> 0:20:45.800
<v Speaker 1>of the firm. It says you really should pay attention

0:20:46.040 --> 0:20:51.159
<v Speaker 1>when the information arrives because it's it's valuable, it's of

0:20:51.240 --> 0:20:54.560
<v Speaker 1>interest to a broad audience, it has the potential to

0:20:54.640 --> 0:20:58.840
<v Speaker 1>move the market, and it gives you an opportunity to

0:20:59.119 --> 0:21:03.800
<v Speaker 1>act on it. And it sends a broader message to

0:21:04.520 --> 0:21:08.040
<v Speaker 1>entities that may not be dealing with your firm that

0:21:08.200 --> 0:21:12.600
<v Speaker 1>there there are there's a good information flow, a valuable

0:21:12.600 --> 0:21:16.440
<v Speaker 1>information flow coming out of out of UM the Bank.

0:21:16.880 --> 0:21:20.119
<v Speaker 1>So I think that ends up being in positive in

0:21:20.200 --> 0:21:23.119
<v Speaker 1>most cases. In fact, I can't think of a case

0:21:23.240 --> 0:21:27.920
<v Speaker 1>where a media follow through wasn't good news on the

0:21:27.960 --> 0:21:31.440
<v Speaker 1>things that I was working on or that my team

0:21:31.480 --> 0:21:33.680
<v Speaker 1>was working on. All right, but there are some perverse

0:21:33.800 --> 0:21:38.040
<v Speaker 1>things that can happen in this cycle, and so media

0:21:38.160 --> 0:21:45.119
<v Speaker 1>often gets criticized for being hyperbolic or being you know, uh, sensationalist.

0:21:45.640 --> 0:21:48.360
<v Speaker 1>And I'm not gonna name any names, but we all

0:21:48.400 --> 0:21:52.160
<v Speaker 1>know that there are some popular sell side analysts who

0:21:52.600 --> 0:21:57.000
<v Speaker 1>have been wrong on things for many years, predicting recessions,

0:21:57.080 --> 0:22:00.920
<v Speaker 1>predicting crashes, and they're extremely popular, and they're really popular

0:22:00.960 --> 0:22:03.680
<v Speaker 1>in the press because we like to write up bold calls,

0:22:04.240 --> 0:22:08.320
<v Speaker 1>but they are completely everything that nothing they say ever

0:22:08.400 --> 0:22:13.480
<v Speaker 1>comes to pass. And I'm curious whether the cycle but no,

0:22:13.760 --> 0:22:16.480
<v Speaker 1>I no needs to name names, but whether this media

0:22:16.520 --> 0:22:20.280
<v Speaker 1>cycle can encourage people to say provocative things that will

0:22:20.320 --> 0:22:23.080
<v Speaker 1>get picked up in the press but that aren't necessarily

0:22:23.760 --> 0:22:27.520
<v Speaker 1>correct or grounded in good data. I think it does.

0:22:28.520 --> 0:22:32.720
<v Speaker 1>I think it depends upon the market sector and who

0:22:32.760 --> 0:22:38.119
<v Speaker 1>the analysts believes the audience is. If it is a

0:22:38.280 --> 0:22:44.080
<v Speaker 1>retail audience, then you have to find a way of

0:22:44.800 --> 0:22:51.000
<v Speaker 1>penetrating the same clutter as any other provider of information

0:22:51.240 --> 0:22:53.760
<v Speaker 1>to that audience. And we all know that there is

0:22:54.320 --> 0:22:57.679
<v Speaker 1>just a tremendous number of channels that are fighting for

0:22:57.720 --> 0:23:02.840
<v Speaker 1>the attention of somebody sitting in front of a TV,

0:23:03.119 --> 0:23:08.639
<v Speaker 1>in front of a broker's audience or somebody who is

0:23:09.280 --> 0:23:14.000
<v Speaker 1>walking past the front of a store. If your audience

0:23:14.240 --> 0:23:19.280
<v Speaker 1>is an institutional audience, it's not clear to me that

0:23:20.160 --> 0:23:26.240
<v Speaker 1>the same approach works because the institutional audience if the institution,

0:23:26.359 --> 0:23:30.360
<v Speaker 1>the institution ultimately needs to produce a return that will

0:23:30.440 --> 0:23:37.520
<v Speaker 1>justify its fees. Generating that that return is really hard work.

0:23:38.200 --> 0:23:42.080
<v Speaker 1>That's what all the research shows. I think in many

0:23:42.080 --> 0:23:44.879
<v Speaker 1>ways that's the story of asset flows of the last

0:23:44.920 --> 0:23:50.719
<v Speaker 1>few years, that there is steady pressure on asset management fees.

0:23:51.280 --> 0:23:59.919
<v Speaker 1>So you need to find sources of information that are thoughtful, reliable, actionable,

0:24:00.840 --> 0:24:04.399
<v Speaker 1>And if you're an analyst and you can provide that

0:24:04.520 --> 0:24:08.600
<v Speaker 1>kind of information, then your audience is gonna look for

0:24:08.640 --> 0:24:14.560
<v Speaker 1>you rather than necessarily uh considering you as just part

0:24:14.560 --> 0:24:18.760
<v Speaker 1>of the general clutter that comes over the wires. Um.

0:24:18.800 --> 0:24:21.919
<v Speaker 1>So we mentioned mythid a couple of times before, but

0:24:21.960 --> 0:24:24.520
<v Speaker 1>this is the big European regulation coming in that's gonna

0:24:24.800 --> 0:24:29.680
<v Speaker 1>unbundle research from training commissions. Essentially, how do you think

0:24:30.000 --> 0:24:33.920
<v Speaker 1>that's going to change the world of analyst research? We

0:24:34.160 --> 0:24:37.000
<v Speaker 1>can before you answer, can you also explain what the

0:24:37.119 --> 0:24:40.720
<v Speaker 1>reason why? Before? Like what was the situation? Because I

0:24:40.760 --> 0:24:43.720
<v Speaker 1>don't even understand this still, so what what was the

0:24:43.760 --> 0:24:46.640
<v Speaker 1>situation that prompted the EU to think that this regulation

0:24:46.720 --> 0:24:48.920
<v Speaker 1>was necessary? And then also and then of course, how

0:24:48.960 --> 0:24:51.760
<v Speaker 1>that's going to change your world. I can't say that

0:24:51.800 --> 0:24:57.880
<v Speaker 1>I know exactly what was of the EU regulator UM,

0:24:57.880 --> 0:25:01.440
<v Speaker 1>but I will happily read that crystal ball all so

0:25:01.840 --> 0:25:05.040
<v Speaker 1>I would assume that what the regulator is trying to

0:25:05.080 --> 0:25:11.080
<v Speaker 1>do here is unbundle trade execution from the provision of

0:25:11.119 --> 0:25:16.400
<v Speaker 1>other services by a sell side bank. And I suppose

0:25:16.480 --> 0:25:20.040
<v Speaker 1>at some level you could say that UM that will

0:25:20.119 --> 0:25:23.600
<v Speaker 1>create transparency in the marketplace, because then you will be

0:25:23.640 --> 0:25:28.919
<v Speaker 1>able to compare execution as a separate service compared to

0:25:30.240 --> 0:25:35.959
<v Speaker 1>UM research itself. I don't know if we necessarily are

0:25:35.960 --> 0:25:39.600
<v Speaker 1>going to see that result. In the US. We do

0:25:39.720 --> 0:25:43.520
<v Speaker 1>not have at this point regulators taking the same view,

0:25:43.880 --> 0:25:46.080
<v Speaker 1>So there is no effort so far in the US

0:25:46.119 --> 0:25:51.119
<v Speaker 1>to try to unbundle that. And I do have some

0:25:51.200 --> 0:25:54.720
<v Speaker 1>questions about whether that will produce the amount of change

0:25:54.880 --> 0:25:59.399
<v Speaker 1>that the regulators anticipate. One thing that seems relatively clear

0:25:59.480 --> 0:26:03.400
<v Speaker 1>to me is that it's more likely to have an

0:26:03.440 --> 0:26:07.320
<v Speaker 1>impact on the BYE side then it will on the

0:26:07.359 --> 0:26:10.760
<v Speaker 1>cell side, and The reason I suspect it could have

0:26:10.800 --> 0:26:14.160
<v Speaker 1>an impact on the buy side is that it will

0:26:14.200 --> 0:26:19.680
<v Speaker 1>tend to favor institutions large enough to bear the separate

0:26:19.720 --> 0:26:25.120
<v Speaker 1>cost of research. That provision of research, as I indicated earlier,

0:26:25.800 --> 0:26:32.120
<v Speaker 1>in many ways, is a really valuable democratizing influence. Many

0:26:32.160 --> 0:26:35.359
<v Speaker 1>small institutions that may not do a tremendous amount of

0:26:35.400 --> 0:26:39.240
<v Speaker 1>trading with a sell side bank still have access to

0:26:39.280 --> 0:26:45.440
<v Speaker 1>the research flow, and once the sell side starts requiring

0:26:45.480 --> 0:26:51.840
<v Speaker 1>those institutions to pay UH for that provision of service,

0:26:52.560 --> 0:26:55.960
<v Speaker 1>it might become prohibitive. It's certainly I can tell you

0:26:56.760 --> 0:26:59.320
<v Speaker 1>that as somebody who is in the middle of of

0:26:59.560 --> 0:27:03.560
<v Speaker 1>building an asset manager now, you always keep your eye

0:27:03.560 --> 0:27:08.760
<v Speaker 1>on costs, and you're sensitive to the competition over fees

0:27:08.880 --> 0:27:12.080
<v Speaker 1>that exists in the marketplace, and so if you have

0:27:12.240 --> 0:27:16.560
<v Speaker 1>to pay additional fees to buy research, it's something that

0:27:16.600 --> 0:27:20.320
<v Speaker 1>you're going to do very very carefully. So my assumption

0:27:20.440 --> 0:27:23.320
<v Speaker 1>is that at least for institutions that are dealing primarily

0:27:24.240 --> 0:27:26.840
<v Speaker 1>in the EU or that fall under the EU jurisdiction,

0:27:27.160 --> 0:27:29.919
<v Speaker 1>the rules are going to tend to favor concentration of

0:27:29.960 --> 0:27:35.040
<v Speaker 1>asset management UM. In the US, those rules don't really apply,

0:27:35.440 --> 0:27:38.399
<v Speaker 1>and so I think research in general is still going

0:27:38.480 --> 0:27:41.640
<v Speaker 1>to be broadly available to a wide set of investors

0:27:42.200 --> 0:27:46.679
<v Speaker 1>under the same protocols that have existed in the past.

0:27:47.480 --> 0:27:50.320
<v Speaker 1>And so for the time being, provision of research and

0:27:50.400 --> 0:27:54.520
<v Speaker 1>the model in US markets I think is not going

0:27:54.560 --> 0:27:59.800
<v Speaker 1>to change substantially. Yeah, this gets to another sort of

0:28:00.040 --> 0:28:03.359
<v Speaker 1>business model, parallel with media, which is that, you know,

0:28:03.400 --> 0:28:05.679
<v Speaker 1>it's great to talk about we're going to restrict the

0:28:05.680 --> 0:28:08.000
<v Speaker 1>provision of research and only if you pay for it

0:28:08.040 --> 0:28:11.199
<v Speaker 1>you get it. But as everyone knows, you know, there's

0:28:11.240 --> 0:28:14.520
<v Speaker 1>it's hard to stop people from forwarding things, copying things,

0:28:14.520 --> 0:28:18.440
<v Speaker 1>taking screenshots of things. Anyone in the news business has

0:28:18.480 --> 0:28:21.960
<v Speaker 1>seen how difficult it is to put up paywalls. The

0:28:22.040 --> 0:28:25.359
<v Speaker 1>music industry has seen, how seen how difficult it is

0:28:25.440 --> 0:28:28.520
<v Speaker 1>to uh, you know, sell music as opposed to deal

0:28:28.560 --> 0:28:31.720
<v Speaker 1>with piracy. Uh is that really Like? Do people think

0:28:31.720 --> 0:28:34.359
<v Speaker 1>that's realistic that shops that don't want to pay for

0:28:34.400 --> 0:28:39.440
<v Speaker 1>it won't be able to surreptitiously get access to research. Well,

0:28:39.480 --> 0:28:43.640
<v Speaker 1>I think you're absolutely right. Um, I guess the old

0:28:43.640 --> 0:28:48.080
<v Speaker 1>saying was information wants to be free, and the people

0:28:48.120 --> 0:28:50.120
<v Speaker 1>who will be getting the research, I'm sure will be

0:28:50.240 --> 0:28:53.040
<v Speaker 1>quite careful to make sure that they don't violate their

0:28:53.080 --> 0:28:59.440
<v Speaker 1>agreements with the cell side institutions. But people talk at

0:28:59.440 --> 0:29:04.920
<v Speaker 1>the very least east Um. In many respects, information can

0:29:04.960 --> 0:29:09.440
<v Speaker 1>be shared at the very least informally as part of

0:29:10.080 --> 0:29:15.040
<v Speaker 1>just conversations with colleagues and peers in the course of

0:29:15.080 --> 0:29:22.560
<v Speaker 1>doing business. And if information circulates outside the purview of

0:29:22.720 --> 0:29:27.440
<v Speaker 1>the MiFID rules, I'm not sure how you control the

0:29:27.480 --> 0:29:30.760
<v Speaker 1>flow of that information if it comes outside and then

0:29:30.840 --> 0:29:36.239
<v Speaker 1>goes back inside the EU jurisdiction. I understand the the

0:29:36.280 --> 0:29:40.640
<v Speaker 1>aspiration of the regulations and the desire to provide transparency.

0:29:40.880 --> 0:29:45.640
<v Speaker 1>I just think, as you're pointing out, it's really hard

0:29:45.720 --> 0:29:49.200
<v Speaker 1>to do it um in practice. So a few people

0:29:49.360 --> 0:29:53.400
<v Speaker 1>have commented that the era of analysts and analyst researches

0:29:53.560 --> 0:29:58.080
<v Speaker 1>effectively dead. Uh do you agree with that statement? And

0:29:58.520 --> 0:30:01.840
<v Speaker 1>how much can we read in to your own departure

0:30:02.080 --> 0:30:06.040
<v Speaker 1>from the analyst community if you will, Well, I wouldn't

0:30:06.080 --> 0:30:10.960
<v Speaker 1>read too much into my own decision. I think that, um,

0:30:11.040 --> 0:30:15.760
<v Speaker 1>there will always be need for good information. I mean

0:30:15.800 --> 0:30:20.560
<v Speaker 1>that's what makes markets work. In fact, that, in part

0:30:20.760 --> 0:30:23.760
<v Speaker 1>was what I always found to be the most fascinating

0:30:23.840 --> 0:30:30.880
<v Speaker 1>part about Uh, being an analyst. Information and good information

0:30:32.160 --> 0:30:36.600
<v Speaker 1>really is the core of portfolio management, and it's the

0:30:36.760 --> 0:30:40.600
<v Speaker 1>core of investing. And any good investor will tell you

0:30:41.120 --> 0:30:44.000
<v Speaker 1>that a substantial part of their time and effort goes

0:30:44.200 --> 0:30:48.800
<v Speaker 1>into getting their hands on good information and using it

0:30:48.840 --> 0:30:54.640
<v Speaker 1>to make good decisions. So that will not go away. Uh,

0:30:54.680 --> 0:30:57.520
<v Speaker 1>And so there will always be this core need for

0:30:57.560 --> 0:31:01.760
<v Speaker 1>that information. And I suspect there will always be analysts

0:31:01.760 --> 0:31:05.720
<v Speaker 1>of some sort uh that are sitting in the chair

0:31:05.880 --> 0:31:10.160
<v Speaker 1>and trying to generate and disseminate that information. So how

0:31:10.160 --> 0:31:15.360
<v Speaker 1>it gets monetized may change, Uh, the nature of the

0:31:15.440 --> 0:31:19.440
<v Speaker 1>distribution may change, but the core need for that information

0:31:20.240 --> 0:31:22.480
<v Speaker 1>won't go away. I mean, it's impossible for a market

0:31:22.480 --> 0:31:25.240
<v Speaker 1>to function without that, you know. Speaking of the ways

0:31:25.280 --> 0:31:27.840
<v Speaker 1>in which media is getting disrupted, we've seen a lot

0:31:27.920 --> 0:31:31.720
<v Speaker 1>of sort of data journalism or people opening up their

0:31:31.760 --> 0:31:34.520
<v Speaker 1>models and things like that are sort of like attempts

0:31:34.520 --> 0:31:38.920
<v Speaker 1>to open source the gathering of news and stuff like that.

0:31:38.960 --> 0:31:42.160
<v Speaker 1>Do you see that happening in your world? Into your

0:31:42.200 --> 0:31:45.240
<v Speaker 1>world where you know, rather than a sort of pure

0:31:45.280 --> 0:31:49.880
<v Speaker 1>research report, you're providing more tools to access the underlying data.

0:31:50.000 --> 0:31:53.920
<v Speaker 1>Things like that basically just sort of offering ways of

0:31:54.240 --> 0:31:58.400
<v Speaker 1>giving people to manipulate and understand the news themselves. Well,

0:31:58.440 --> 0:32:01.360
<v Speaker 1>I think those kinds of tools have really been certainly

0:32:01.400 --> 0:32:06.880
<v Speaker 1>available in the fixed income world for decades. And again

0:32:06.920 --> 0:32:11.920
<v Speaker 1>back to my own little parochial playground, Um, it was

0:32:12.080 --> 0:32:15.920
<v Speaker 1>routine starting in the late nineteen eighties for the cell

0:32:16.040 --> 0:32:21.400
<v Speaker 1>side to do the kind of data analysis and statistical

0:32:21.440 --> 0:32:25.880
<v Speaker 1>work that I described and then post those models out

0:32:26.680 --> 0:32:32.880
<v Speaker 1>for public consumption. Solomon Brothers was doing it. Uh First Boston,

0:32:32.880 --> 0:32:36.000
<v Speaker 1>which eventually became Credit Suisse was doing it, and eventually

0:32:36.440 --> 0:32:39.680
<v Speaker 1>every shop that wanted to be considered a serious player

0:32:40.120 --> 0:32:42.600
<v Speaker 1>in mortgage securities ended up with their own team of

0:32:42.680 --> 0:32:46.160
<v Speaker 1>modelers and their own efforts to make the results of

0:32:46.160 --> 0:32:49.640
<v Speaker 1>those models available. Uh So, I think that that has

0:32:49.640 --> 0:32:51.400
<v Speaker 1>been out there for a while. There have been some

0:32:51.520 --> 0:32:54.840
<v Speaker 1>private providers that have popped up over the years that

0:32:54.920 --> 0:32:58.680
<v Speaker 1>have become real specialists and providing some kind some of

0:32:58.720 --> 0:33:03.600
<v Speaker 1>these central data source is. But I guess the broader

0:33:03.640 --> 0:33:10.400
<v Speaker 1>idea of crowdsourcing information I haven't seen that used in

0:33:10.440 --> 0:33:13.960
<v Speaker 1>a way that I would consider really effective. I think

0:33:13.960 --> 0:33:18.000
<v Speaker 1>the problem is that in any market, the value of

0:33:18.080 --> 0:33:24.360
<v Speaker 1>information UH quickly degrades, and so if you genuinely believe

0:33:24.400 --> 0:33:28.080
<v Speaker 1>that you have information that nobody else has and that

0:33:28.160 --> 0:33:31.320
<v Speaker 1>it's information material enough to affect the value of an

0:33:31.320 --> 0:33:35.320
<v Speaker 1>asset that you're buying or selling, You're going to use

0:33:35.360 --> 0:33:38.800
<v Speaker 1>that information and transact on it long before you ever

0:33:38.880 --> 0:33:42.040
<v Speaker 1>turn around and start telling your pals at the next shop.

0:33:42.840 --> 0:33:44.800
<v Speaker 1>So by the time the information would get into a

0:33:44.880 --> 0:33:49.960
<v Speaker 1>crowdsourced environment, I'm not sure it really has the zip

0:33:50.040 --> 0:33:53.360
<v Speaker 1>that it that it that it had when the first

0:33:53.360 --> 0:33:58.240
<v Speaker 1>recipient got it all right, Uh, Steven Abraham's CEO and

0:33:58.400 --> 0:34:01.120
<v Speaker 1>co founder of mile Post Opitualt Management, Thank you so

0:34:01.200 --> 0:34:04.840
<v Speaker 1>much for joining us today. Thank you, Tracy, Thank you Joe.

0:34:04.960 --> 0:34:20.120
<v Speaker 1>It was fun. So Joe, I found that conversation fascinating

0:34:20.280 --> 0:34:23.279
<v Speaker 1>partially because, as you know, both of us have been

0:34:23.360 --> 0:34:25.800
<v Speaker 1>so close to the world of analyst research for years

0:34:25.840 --> 0:34:29.239
<v Speaker 1>now totally. I mean both of us sort of started

0:34:29.960 --> 0:34:33.600
<v Speaker 1>our careers blogging more or less, and a huge part

0:34:33.640 --> 0:34:37.040
<v Speaker 1>of that was pouring through all the endless research that

0:34:37.080 --> 0:34:40.560
<v Speaker 1>would hit our inboxes, typically especially at the beginning, through

0:34:40.600 --> 0:34:44.399
<v Speaker 1>surreptitious sources, people who were not officially at banks. Now

0:34:44.400 --> 0:34:47.920
<v Speaker 1>it's now we're sort of more respectable and we get

0:34:47.920 --> 0:34:50.200
<v Speaker 1>stuff from banks, But in the beginning, at least I

0:34:50.239 --> 0:34:53.360
<v Speaker 1>had to like, you know, mooch them from third party sources,

0:34:53.760 --> 0:34:57.080
<v Speaker 1>finding the analysts that had the interesting calls, writing them up,

0:34:57.440 --> 0:35:00.480
<v Speaker 1>posting their charts. So actually learning more about how that

0:35:00.520 --> 0:35:03.839
<v Speaker 1>business works is very enlightening. Yeah, and I guess it's

0:35:03.880 --> 0:35:06.640
<v Speaker 1>kind of comforting as people in journalism to know that

0:35:06.680 --> 0:35:11.120
<v Speaker 1>the issues that we struggle with, everyone who handles information

0:35:11.160 --> 0:35:13.560
<v Speaker 1>seems to be struggling with. And it's difficult because, as

0:35:13.560 --> 0:35:17.239
<v Speaker 1>Steven said, information is the lifeblood of the industry, and

0:35:17.320 --> 0:35:21.440
<v Speaker 1>yet it seems so difficult to monetize that absolutely, and

0:35:21.480 --> 0:35:25.640
<v Speaker 1>that tension between wanting to have you know, as you said,

0:35:25.680 --> 0:35:28.400
<v Speaker 1>at the very end, information loses its value very fast.

0:35:28.760 --> 0:35:31.760
<v Speaker 1>So the tension between wanting something out there but also

0:35:31.840 --> 0:35:35.680
<v Speaker 1>wanting to maintain that exclusivity is something interesting to hear about.

0:35:36.040 --> 0:35:39.160
<v Speaker 1>We were talking before, but in my career in the beginning,

0:35:39.200 --> 0:35:42.200
<v Speaker 1>when we would write about sell side research, often the

0:35:42.239 --> 0:35:45.520
<v Speaker 1>banks would complain that like, oh, you didn't have the

0:35:45.680 --> 0:35:48.120
<v Speaker 1>right to write about that, you weren't authorized to see that.

0:35:48.360 --> 0:35:50.319
<v Speaker 1>And then two years later, those same people at the

0:35:50.320 --> 0:35:52.200
<v Speaker 1>banks with like reach out in the day, why don't

0:35:52.200 --> 0:35:56.839
<v Speaker 1>you ever write about our research anymore. So everyone is

0:35:56.880 --> 0:35:59.560
<v Speaker 1>all navigating the same back and forth tensions. I don't

0:35:59.560 --> 0:36:03.000
<v Speaker 1>think there's some clear answer about what the correct model

0:36:03.160 --> 0:36:05.799
<v Speaker 1>is and how much to keep internal, how much to

0:36:05.840 --> 0:36:09.480
<v Speaker 1>publicize so forth. Yeah, exactly right. The same issues that

0:36:09.560 --> 0:36:11.919
<v Speaker 1>we kind of struggle with, others are struggling with. Two

0:36:12.360 --> 0:36:15.880
<v Speaker 1>all right, shall we call it a day information sharing.

0:36:16.000 --> 0:36:18.719
<v Speaker 1>Let's let's leave at that, and uh, next time we'll

0:36:18.760 --> 0:36:20.920
<v Speaker 1>be uh next episode, we'll be back to you on

0:36:21.040 --> 0:36:25.640
<v Speaker 1>your on your couch or on your floor. All right, Well,

0:36:25.640 --> 0:36:28.760
<v Speaker 1>this has been a special edition of the aw Thoughts podcast.

0:36:28.840 --> 0:36:31.880
<v Speaker 1>I'm Tracy Alloway. You can follow me at Tracy Alloway

0:36:31.960 --> 0:36:34.640
<v Speaker 1>on Twitter, and you can follow me on Twitter at

0:36:34.680 --> 0:36:38.240
<v Speaker 1>the Stalwart and follow our producer Sarah Patterson on Twitter

0:36:38.680 --> 0:36:41.600
<v Speaker 1>at Sarah patt With two teas. Thanks for listening.