# Interview with a Hedge Fund Manager

#### John

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Year in Review, Continued

The Financial Situation

Interview with a Hedge Fund Manager

January 7, 2008

Pt. 1: Currency Crosses
n+1: Would you like something?

HFM: Just a water.

n+1: Bottled water? It's on me.

HFM: Just tap water, thank you.

n+1: No, really, it's on me.

HFM: Thanks, I'm OK.

n+1: All right, let's get to it. Is America now a Third World country?
HFM: No, we're a First World country with a weak currency. From time to time, the dollar's been very weak; from time to time, it's very strong; and unfortunately what tends to happen is people tend to just extrapolate. But in reality, over the very very long term, currency processes tend to be fairly stable and mean-reverting. So the dollar's very weak today, but that's no reason to believe the dollar's going to be weak forever or that, because it's weak today, it's going to get dramatically weaker tomorrow.

n+1: But you, in your work, are not dealing with the long term...
HFM: No, we're dealing with the short term. But, I'll tell you, in our work we don't trade the G-7 crosses because we just don't feel we have an edge on that. Dollar-sterling, dollar-Euro, or dollar-Yen: it's amazing how many brilliant investors have gotten so much egg on their face trying to trade the G-7 crosses. I can think of so many examples—where people make these really strong calls, that seem very sensible, and then get killed. A very good example of that is Julian Robertson in the late nineties being short the Yen against the dollar. Japan had just gone through this horrible deflation, the economy was in the shitter, the banking system was rotten. And all these things you would argue should lead a currency to trade weaker, and he got very very long the dollar, short the Yen, and a lot of people did alongside him, and basically there was a two- or three-week period in '98 when we had the financial crisis and the Yen actually strengthened ten or fifteen percent. I can't remember the exact numbers, but all these guys just got carried out, even though the stylized facts of the argument were very good.

n+1: "Carried out," is that a term of art?

HFM: Carried out... like basically they're carried out on a board, they're dead.

Another example of that, a personal example: Generally every year, at the beginning of the year, banks that we deal with will often have events, dinners or lunches, where they gather some of their big clients and discuss themes for the coming year, trade ideas for the coming year. They encourage everybody to, you know, go around the table, "What's your best trade idea for the coming year?" And at the beginning of 2005 I was at a dinner, and I was with some fairly prominent macro investors, and it was almost like a bidding war for who could be more bearish on the dollar. So the first guy would say, "I think the best trade is short dollar, long Euro, it's going up to $1.45." At the time, I forget, maybe it was$1.30. And the next guy would go, "No, no, you're so naïve. $1.45?It's going to$1.60!" And it was a competition for who could be more bearish on the dollar and win the prize and be the least naïve person at the table. "It's going to $1.65 and probably higher! Maybe$1.75!" At the eighteen-month horizon.

Now considering that everyone at the table being super-bearish on the dollar probably meant that they were already short the dollar and long the Euro, I went back and basically looked at my portfolio and said: "Any position I have that's Euro-bullish and dollar-bearish, I'm going to reverse it, because if everybody already has said 'I hate the dollar,' they've already positioned for it, who's left?" Who's left to actually make this move happen? And who's on the other side of that trade? On the other side of the trade is the official sector that has all sorts of other incentives, non-financial incentives...

n+1: Political incentives?
HFM: Yeah, they have political incentives. They want to keep their currency weak to promote growth or exports or jobs; or they have pegs, peg-regimes that they need to defend, and they don't really care about maximizing profit on their reserves, they're not a bank trying to maximize profits, they have broad policy objectives—and infinite fire power.

n+1: So you did well.
HFM: Well, we didn't lose. I mean, I don't bet on this process, but sometimes there are other positions you have on that you can say have a certain derivative exposure to the dollar-Euro, and we tried to be careful not to take too much of that. Because we thought that this consensus, this super strong consensus that the dollar's got to go weaker, actually represented a risk that the dollar would go in the other direction.

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Pt. 2: Black Boxes Enslave Brains

n+1: How do you know all this stuff?

HFM: How do I know all what stuff?

n+1: All the stuff that you know. Did you go to—

HFM: I didn't go to business school. I did not major in economics. I learned the old-fashioned way by apprenticing to a very talented investor, so I wound up getting into the hedge fund business before I think many people knew what a hedge fund was. I've been doing it for over ten years. I didn't even know what a hedge fund was when I first had this opportunity. I'm sure today I would never get hired.

n+1: Really?

HFM: Yeah, it would be impossible because I had no background, or I had a very exiguous background in finance. The guy who hired me always talked about hiring good intellectual athletes, people who were sort of mentally agile in an all-around way, and that the specifics of finance you could learn, which I think is true. But at the time, I mean, no hedge fund was really flooded with applicants, and that allowed him to let his mind range a little bit and consider different kinds of candidates. Today we have a recruiting group, and what do they do?—they throw resumes at you, and it's, like, one business school guy, one finance major after another, kids who, from the time they were twelve years old, were watching Jim Cramer and dreaming of working in a hedge fund. And I think in reality that, probably, if anything, they're less likely to make good investors than people with sort of more interesting backgrounds.

n+1: Why?

HFM: Because I think that in the end the way that you make a ton of money is calling paradigm shifts, and people who are real finance types, maybe they can work really well within the paradigm of a particular kind of market or a particular set of rules of the game—and you can make money doing that—but the people who make huge money, the George Soroses and Julian Robertsons of the world, they're the people who can step back and see when the paradigm is going to shift, and I think that comes from having a broader experience, a little bit of a different approach to how you think about things.

n+1: What's a paradigm shift in finance?

HFM: Well, a paradigm shift in finance is maybe what we've gone through in the sub-prime market and the spillover that's had in a lot of other markets where there were really basic assumptions that people made that, you know what?, they were wrong.

The thing is that nobody has enough brain power to question every assumption, to think about every single facet of an investment. There are certain things you need to take for granted. And people would take for granted the idea that, "OK, something that Moody's rates triple-A must be money-good, so I'm going to worry about the other things I'm investing in, but when it comes time to say, 'Where am I going to put my cash?,' I'll just leave it in triple-A commercial paper, I don't have time to think about everything." It could be the case that, yeah, the power's going to fail in my office, and maybe the water supply is going to fail, and I should plan for that, but you only have so much brain power, so you think about what you think are the relevant factors, the factors that are likely to change. But often some of those assumptions that you make are wrong.

n+1: So the Moody's ratings were like the water running...

HFM: Exactly. Triple-A is triple-A. But there were people who made a ton of money in the sub-prime crisis because they looked at the collateral that underlay a lot of these CDOs [collateralized debt obligations] and commercial paper programs that were highly rated and they said, "Wait a second. What's underlying this are loans that have been made to people who really shouldn't own houses—they're not financially prepared to own houses. The underwriting standards are materially worse than they've been in previous years; the amount of construction that's going on in particular markets is just totally out of proportion with the sort of household formation that's going on; the rating agencies are kind of asleep at the switch, they're not changing their assumptions and therefore, OK, notwithstanding something may be rated triple-A, I can come up with what I think is a realistic scenario where those securities are impaired." And pricing on triple-A CDO paper was very, very rich. Spreads were very, very tight, and these guys said, "You know what? These assumptions that triple-A is money-good, or the assumptions that underlay Moody's ratings..."

n+1: Money-good?

HFM: In other words, if you buy a bond, you're going to get back your principle. It's money-good. You're going to get a hundred cents on the dollar back.

But in reality this was wrong, and people were able to short triple-A securities very cheaply. They weren't paying a lot to be short and they made huge money on triple-A securities and triple-A CDO paper that now trades at fifty cents on the dollar. I mean that is like the water's not running today, right? The sun didn't rise. But if you were trained in finance, you probably are more likely to take for granted that, "The rating agencies have a very sound process, credit analysis, the same process that I've been trained in, all the assumptions that I use are kind of the same as the assumptions they use." In the same fashion, if you assess the attractiveness of a trade based on historical data from a time when people weren't really actively doing that trade, and then suddenly everybody's doing that trade, the behavior of the trade will be different. And if you're trained the same way as everybody else, in general you're all going to behave the same. And when everyone behaves the same, that makes trades a lot riskier: everybody's buying at the same time, you get bubbles, everybody's selling at the same time, you get crashes.

A good example of that is...I don't know if you've heard about the problems that cropped up over the summer in a type of business called statistical arbitrage? Stat-arb?

n+1: ...

n+1: ...

HFM: Goldman-Sachs had a fund that lost 30 percent, and Highbridge had a fund that lost a lot of money. Stat arb is, basically, computerized trading of a huge universe of stocks based on a set of models. And those models can be technical models like momentum or mean reversion, or it can be based on fundamental models like just "Buy stocks that have high cash-flow yields and sell stocks that have low cash-flow yields." That's a gross simplification, but the core of it is that—the idea that there are certain predictable relationships between either stock price history and future performance, or fundamental variables of a company and stock price performance, and these are broadly reliable. It's not like any given stock is going to perform in line with the models. But if you're trading a universe of 5,000 stocks, in general you'll have enough of an edge that you'll make money.

n+1: And so the computers themselves are making these trades?

HFM: You build the models and the computer does the trading. You actually do all the analysis. But it's too many stocks for a human brain to handle, so it's really just guys with a lot of physics and hardcore statistics backgrounds who come up with ideas about models that might lead to excess return and then they test them and then basically all these models get incorporated into a bigger system that trades stocks in an automated way.

n+1: So the computers are running the...

HFM: Yeah, the computer is sending out the orders and doing the trading.

n+1: It's just a couple steps from that to the computers enslaving—

HFM: Yes, but I for one welcome our computer trading masters.

People actually call it "black box trading," because sometimes you don't even know why the black box is doing what it's doing, because the whole idea is that if you could, you should be doing it yourself. But it's something that's done on such a big scale, a universe of several thousand stocks, that a human brain can't do it in real time. The problem is that the DNA of a lot of these models is very, very similar, it's like an ecosystem with no biodiversity because most of the people who do stat-arb can trace their lineage, their intellectual lineage, back to four or five guys who really started the whole black box trading discipline in the '70s and '80s. And what happened is, in August, a few of these funds that have big black box trading books suffered losses in other businesses and they decided to reduce risk, so they basically dialed down the black box system. So the black box system started unwinding its positions, and every black box is so similar that everybody was kind of long the same stocks and short the same stocks. So when one fund starts selling off its longs and buying back its shorts, that causes losses for the next black box and the people who run that black box say, "Oh gosh! I'm losing a lot more money than I thought I could. My risk model is no longer relevant; let me turn down my black box." And basically what you had was an avalanche where everybody's black box is being shut off, causing incredibly bizarre behavior in the market.

n+1: By the black boxes?

HFM: Well, in the part of the profit-and-loss that they were generating to the point where, to give you an example from our black box system, because we have one...

n+1: A big black box?

HFM: Actually I think it's gray, and it's not in our main office, it's off-site. And we made sure it has no arms or legs or anything it could use to enslave us. But we had a loss over the course of like three days that was like a ten-sigma event, meaning, you know, it should never happen based on the statistical models that underlie it. Why? Because the model doesn't assume that everybody else is trading the same model as you are. So that's sort of like a meta-model factor.The model doesn't know that there are other black boxes out there.

n+1: What's a "ten-sigma event"?

HFM: Meaning that it's ten standard deviations from the mean... meaning it's basically impossible, you know? But it's kind of a joke, because returns are very fat-tailed, so the joke that we always say is, "Oh my God, today I had a loss that's a six sigma event! I mean that's the first time that's happened in three months!" It's like a one in ten-thousand-year event, and I haven't had one in the last three months.

n+1: So it happens all the time?

HFM: Those kind of things do happen, yeah. And usually it happens because there's a flaw in the model and the assumptions that people made that they shouldn't have made. Black box trading is kind of small relative to all trading, but in fact there was a ton of it going on and it was all very similar.

n+1: Everybody has a black box now.

HFM: Lot's of funds have them, and they're all very similar.

n+1: I might even have a black box and not even know about it.

HFM: That's the problem. I think what we need to do is go to everybody's house and make sure that only licensed statistical arbitrage traders have black boxes.

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Pt. 3: Prime Time for the Sub-Prime

n+1: So why did all of the hedge funds have this sub-prime mortgage paper?

HFM: Well, some hedge funds did and some didn't. Some hedge funds made a lot of money being short it. Some hedge funds lost money being long it. Where the losses are concentrated, though, are not so much in the hedge fund world. The losses are concentrated at banks...a lot of European banks, Asian banks. Even the Chinese central bank has exposure.

n+1: Created the loans?

HFM: Called forth the loans, because it became a really profitable business. You saw where you could issue these liabilities. Say, I could issue these liabilities at a weighted average cost of LIBOR [London Interbank Offered Rate] plus one-fifty, and I know all I have to do is just push that money out the door, push that money out the door, LIBOR plus three hundred, and I'll make a huge amount of money from doing that origination activity or just on the equity piece that I keep, which is highly, highly leveraged. The person who really knows the mortgages is not the person who is really taking most of the risk. The person who is taking most of the risk is the kind of undifferentiated mass of buyers out there.

n+1: Right, and when you say the person who knows the mortgage, meaning the person who knows that the person they find on the street...

HFM: May not be a good credit, right? What tends to happen in financial markets, is bad things happen when you really divorce the people who take the risk from the people who understand the risk. What happened is that that distance in the sub-prime market just increased and increased and increased. I mean, it started out that you had mortgage companies that would keep some of the stuff on their own books. Sub-prime lenders, it wasn't a big business, it was a small business, and it was specialty lenders, and they made risky loans, and they would keep a lot of it on their books.

But then these guys were like, "Well, you know, there are hedge fund buyers for pools that we put together," and then the hedge fund buyers say, "You know what? We need to fund, we need to leverage this, so how can we leverage this? Oh, I have an idea, let's create a CDO and issue paper against it to fund ourselves," and then you get buyers of that paper. The buyers of that paper, they're more ratings-sensitive than fundamentals-sensitive, so they're quite divorced from the details. Then it got even more extended in the sense that vehicles were set up that had a mandate to kind of robotically buy that paper and fund themselves through issuing paper in the market.

n+1: Black boxes?
HFM: No, not the black boxes. But there wasn't a lot of human judgment going on. In reality those guys were so far from the true collateral that underlay the paper—they have no idea. It's like they're buying CP of a conduit, the conduit's buying triple-A paper of a CDO, the CDO is set up by a hedge fund that's bought mortgage pools from a mortgage originator, and the mortgage originator is the one who realizes that they lent half a million dollars on a house in Stockton, California, to... someone who makes 50,000 dollars a year. That's where the specific knowledge about the risk resides, but the ultimate risk-taker is very very far away from that.

So what happened is this machine—let's call it, it's a big machine that wanted to gobble up, you know, rated paper—needed to be fed. So there were people who could make a lot of money feeding the machine, and they were like, you know, "We need to keep originating mortgages, and feeding them to the machine," and if you have a robot bid, you tend to get a bubble. Someone is hungry for paper, paper will be created.

And that's almost never a good thing that lending decisions are being driven by the fact that many, many steps down the chain there's just someone who wants to buy paper.

n+1: Hm-hm. But isn't—when you say that people started treating tripe-A paper like money—isn't money also like money, in that sense?

HFM: Well, yeah, our money is fiat money, but a dollar is a dollar. You can use it to pay your tax liabilities, right? It's legal tender for all debts. If you have a debt, you can always use the dollar to pay off the debt. But the CP—that may be worth nothing. I mean, you can't pay your taxes with CP, you can't pay off a debt with CP...

n+1: You can't buy a coffee in London with a dollar.

HFM: Well, that's true, that's true. If your only use for money is buying coffees in London, and you have dollars, then you have a problem.

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Pt. 4: A Confession

n+1: Why was all the press about the mortgage crisis about the hedge funds?

HFM: People like talking about hedge funds. They like to blame us for everything. And there were hedge funds that lost a lot of money.

n+1: Because that's why I offered to buy a water.

HFM: Oh? We've had our share of lumps from the black boxes and sub-prime, but we're still standing.

n+1: You lost on the sub-prime?

HFM: We did. We were involved in creating CDOs. n+1: You were?!

HFM: Yeah, yeah. Not me, personally. But we have people who did it. They would buy mortgage pools, they would package them into CDOs, sell off senior liabilities, and we kept the equity pieces ourselves, and, you know, those equity pieces are worth, like, nothing, now they're worth—they're worth pretty much zero. But the amount of money that was lost by us was kind of small relative to the amount that was lost on the whole on the dumb lending decisions that were made. Because—OK we had the equity on a CDO with half a billion dollars in mortgage collateral, and we issued paper for, you know, 450 million dollars, and kept 50 million dollars of the most junior piece for ourselves. OK, so we lost 50 million dollars. But if that mortgage pool is now only worth 300 million dollars, so it's 200 million dollars of losses, 150 million dollars in losses are borne by the people who bought the CDO paper.

n+1: From you?

HFM: From—yeah, from the CDO we set up.

n+1: Are they mad at you?

HFM: Well, our CDO paper performed better than average. So I think in comparison to the overall quality of mortgage origination in the last, call it, 3 or 4 years, ours was really much better. So I think they're happy we did a better job than our competitors—but they're not happy they lost money.

n+1: Is the person who ran that—is he going to get fired?

n+1: Really? He's gone?
HFM: He's gone.
n+1: I should buy him a water.
HFM: You should buy him a water. But you know, there were other issues with him. It wasn't only that he lost money.
But—to get back to the paradigm shifts—here was a guy who knows the market really, really well, who is a real expert in the nuts and bolts of mortgage lending, and really knew the collateral really well—but he was a true believer, and I think a lot of people were, who were in that paradigm, right, they were true believers in the paradigm. "You know what, sub-prime is a really good thing, it's opening up home ownership to people who couldn't get it before for reasons that didn't really have to do with their ability to pay, but had to do with outmoded criteria for thinking about credit." And, you know, most of these mortgages were going to pay off fine and that the housing collateral behind them was solid.
And there were other people at the firm, say, at the middle of last year, who were not mortgage experts, who were saying, you know, "I see the run-up in housing prices in some of these geographies, and I just don't really get it. I go down to Florida and see the forest of cranes, and I just really wonder, who's going to be in all those apartments? And I hear about all sorts of friends who are getting loans to buy apartments or houses speculatively and who are lying about the fact that it's not a primary residence, and I see these commercials on TV, you know, about low-doc, no-doc mortgages—and there is no way, there is no way that this is not going to end badly. And I see that these mortgages are being created by this massive demand for CDO paper, by this robotic bid, and this is the perfect example of a bubble—and we should be short, we should be short sub-prime paper."
n+1: This is what guys do? They travel around Florida, they watch TV?
HFM: Just in your normal life, I mean, like me, I trade a different market, I don't trade sub-prime, but, you know, I travel for other reasons, and some of my partners do the same thing. And we all, a number of us thought, "This is just crazy. We should be short. This is a bubble waiting to be popped." But the person who was the expert, the person who ran the sub-prime business, who traded sub-prime paper and issued the CDOs, he was a true believer in the paradigm: "In 2003, people said that the credit quality of the average sub-prime mortgage was deteriorating, and now look, those mortgages have performed fine. The sub-prime market works."
And, hey, he was the expert—you defer to the expert.
n+1: He didn't listen.
HFM: But he's the expert, right? It's a tough thing. If you have somebody who's really trained in the mortgage business, he's been in the mortgage business for fifteen years, in equilibrium he'll do a great job. He'll be able to pick, of the mortgage pools out there, which is the good one, which is the bad one. He did a very good job of that, because the ones that he picked were better than the market. But in terms of detecting the paradigm shift, the guy who's just buried in the forest... he's not going to see the big picture, he's not going to catch the paradigm shift.
n+1: When he saw the cranes in Florida, when he saw the commercials on TV, what did he think?
HFM: I think his view was, the people who were predicting a crash in sub-prime were not experts in the sub-prime market. They were guys just basing their conclusions on anecdotal evidence. "But look, I'm knee deep in the data, I see the remittance reports every month, I've been involved in the 2003 sub-prime issuance, and the 2004 sub-prime issuance, and people said that stuff was dodgy, but it's performed very well. And I know all the details. You have anecdotes? I have details."
And in equilibrium, yeah, if I tried to pick out of the mortgage pool which one is good and which one is bad based on having seen some cranes in Florida and hearing some stories about people taking out loans—
n+1: —at a bar—
HFM: Yeah, I had a conversation at a bar, this guy told me he was making a ton of money flipping houses. You know, you're not going to become a mortgage trader based on that. But you might catch the paradigm shift. So this guy was really, you know, he was very much at the detail level, and missed the paradigm shift.
n+1: And now he's gone.
HFM: And now he—will have plenty of time to think about the big picture.
n+1 [laughs evil laugh].
HFM [also laughs evil laugh].+

#### samiam

Key takeaways I got from reading this excellent interview:

Today we have a recruiting group, and what do they do?—they throw resumes at you, and it's, like, one business school guy, one finance major after another, kids who, from the time they were twelve years old, were watching Jim Cramer and dreaming of working in a hedge fund. And I think in reality that, probably, if anything, they're less likely to make good investors than people with sort of more interesting backgrounds.

if you assess the attractiveness of a trade based on historical data from a time when people weren't really actively doing that trade, and then suddenly everybody's doing that trade, the behavior of the trade will be different. And if you're trained the same way as everybody else, in general you're all going to behave the same. And when everyone behaves the same, that makes trades a lot riskier: everybody's buying at the same time, you get bubbles, everybody's selling at the same time, you get crashes.

Goldman-Sachs had a fund that lost 30 percent, and Highbridge had a fund that lost a lot of money. Stat arb is, basically, computerized trading of a huge universe of stocks based on a set of models. And those models can be technical models like momentum or mean reversion, or it can be based on fundamental models like just "Buy stocks that have high cash-flow yields and sell stocks that have low cash-flow yields."

Yes, but I for one welcome our computer trading masters

Black box trading is kind of small relative to all trading, but in fact there was a ton of it going on and it was all very similar.

n+1: Everybody has a black box now.

HFM: Lot's of funds have them, and they're all very similar.

The problem is that the DNA of a lot of these models is very, very similar, it's like an ecosystem with no biodiversity because most of the people who do stat-arb can trace their lineage, their intellectual lineage, back to four or five guys who really started the whole black box trading discipline in the '70s and '80s. And what happened is, in August, a few of these funds that have big black box trading books suffered losses in other businesses and they decided to reduce risk, so they basically dialed down the black box system. So the black box system started unwinding its positions, and every black box is so similar that everybody was kind of long the same stocks and short the same stocks. So when one fund starts selling off its longs and buying back its shorts, that causes losses for the next black box and the people who run that black box say, "Oh gosh! I'm losing a lot more money than I thought I could.

Makes you wonder, if all of these MFE programs teach you the same thing, and if in academia, you are trained to learn a narrowly defined principle and then apply it to work, will there be the necessary amount of improvisation and common sense that human discretion and instinct provide to add to the black box so that it will not be like all the other black boxes and create the 10 sigma disasters.

#### IlyaKEightSix

Reminds me of something from Hull's book:

"In order to make money on the market, you have to have a different opinion, and you have to be *right*."

Now if all models are the same and you go along with the crowd, who's making the money?

How do different MFE schools differ?

#### Sanket Patel

##### i do stuff
Great Interview. Thanks for the post.

#### alain

##### Older and Wiser
Reminds me of something from Hull's book:

"In order to make money on the market, you have to have a different opinion, and you have to be *right*."

Now if all models are the same and you go along with the crowd, who's making the money?

How do different MFE schools differ?

MFE can only take you so far. The programs are usually similar in their curriculum. You need to add your own "sauce" to the mix if you want to make money.

#### samiam

MFE can only take you so far. The programs are usually similar in their curriculum. You need to add your own "sauce" to the mix if you want to make money.

What is the special recipe of this sauce. How do you make the sauce better than the other sauces so you create the ultimate dish, ie the greatest profit.

I can give you an example in line with this sauce analogy but probably a little different from MFE programs as I am going to get the feeling those programs are pretty much going to teach the same things all throughout. I really think the difference will be which classes you choose among the electives, the quality of the professors who teach, and the name brand of the school which will allow some to work at GS and some to work at Jim and Bobs Securities. But essentially the level of education will be the same because it is strict, focused, and narrowly defined curriculum.

When I used to be a daytrader for a prop shop called Tradescape in the dotcom era, the firm hired a bunch of Ivy League undergrads that would be provide with firm money to go and scalp the market. The oldest was maybe 28. (this type of stuff doesn't exist anymore by the way because the markets basically suck) However most were either 1 year out of college, right out of college or perhaps graduated in say 1996 to have the two years of experience to capitalize on the market with some experience when the market got really "hot".

Given that most of these guys were either finance guys, or econ guys, and all trained to look at the markets in the context of their similar educations, it was amazing the amount of variation in results.

Some guys were making P&L's in the multiple 100Ks per month while some guys were making K's a month. Some were straight losing, and the best I've seen had million dollar p&l's on their good days, not months. There was a considerable amount of input one makes with his "sauce" to get a different outcome than a lot of other people with their own sauces.

Despite the similar academic training, it was clear that the sauce you bring to the table had nothing to do with school.

I wonder if with these MFE degrees, you will be able to bring your own sauce to the job, or if these programs are so narrowly focused that everyone is sort of trained to bring a similar sauce with only slight differences in variation leading to an end product in work outcome that is more or less similar across the board.

If that is indeed the case, the industry is going to find out sooner or later that these MFE's are gonna be a worthless degree because they're all doing the dame thing and you can't make money in the market if you're doing the same thing everyone else is doing, and they might as well just hire some CS guys to do some programming once in a while.

#### doug reich

##### Some guy
Dude, enough with the sauce analogy.

The point is that the MFE doesn't teach you how to trade, it teaches you how to value derivatives, and there's a million ways to get between the two.

#### Eugene Krel

##### sunmulA
Good sauce is tasty!

#### Stefan Zota

Dude, enough with the sauce analogy.

The point is that the MFE doesn't teach you how to trade, it teaches you how to value derivatives, and there's a million ways to get between the two.

Fully agree. I doubt that all programs will instill the same model to all students. They will start from some assumptions and prove some theorethical results. However the space of assumptions is large, anything can be removed and trying to refine some properties.

Simple example, a lot of theory would be based on lognormal distribution, however the assumption is not used in all cases. You have to be smart enough to understand the relaxed requirements that do not necessarily include lognormal.
You would use same tools to get to acceptable approximations instead of closed formula.

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