1/ A short thread about the relationship between academic finance and real $ trading. πŸ‘‰πŸ‘‰πŸ‘‰
2/ First of all, I need to get something off my chest. I loved the Asimov Foundation books as a kid.

Much like Paul Krugman, the idea of doing math to understand complex societies, and to predict their evolution, was transfixing. And still is.
3/ I used to do mathematical modeling of complex systems before I even knew it was a thing.

When I was working as an engineer (and running a lot), I spent more time that I'll admit trying to build a model of the human lactate response to exercise. For fun.
4/ A few years later, I was modeling the statistical distribution of fab yields for IIP2 (go look it up), completely outside of my "real" job of designing radio chips. But it was interesting.

It's what got me to realize that I needed to leave engineering and do trading.
5/ The reason for the autobiography is that I have a pre-existing strong tendency to WANT to believe what academic finance is selling.

That you CAN find the ur-model that explains how markets (or some aspect of them) work.
6/ At the same time, I like money.

And I'm a huge believer in the adverse selection of publication: papers which show no effect never get published, so the universe of published (and preprint) papers is biased towards "stuff that seems to work".
7/ Even worse, in finance there's a second even-stronger adverse selection effect:

If someone had found a pot of money, the last thing they'd do is write a paper about it. They'd go trade it. Or at least, sell it to someone who would go trade it.
8/ The value of a trade or strategy or idea is inversely proportional to the number of people who know about it.

So, why pay attention to finance papers?
9/ Because they're interesting. Or at least some of them. Whether they're right or not doesn't *really* matter.

And arguing about the value of academic finance is IMO beside the point.
10/ They're playing a different game to the one real $ traders are playing. Their incentive structures are different from yours.

So saying "academic finance is worthless" is like a basketball player saying books about soccer are worthless.

Different game.
11/ But even soccer books are useful to basketball players, as long as you're reading them the right way.

As a source of ideas.
As jumping off points.

The longer you're in this business, the more everything starts to look the same. You get into a rut whether you want to or not.
12/ Reading papers (finance or not) is, if you do it right, a jolt out of your rut.

Much like @paulg talks about when evaluating a startup pitch, try to find the good idea in it. Instead of why it's bad.

Rationalists call it steelmanning. What version of this COULD be good?
13/ It doesn't mean you actually *think* it's good or useful or would make money. It just means you're being truly honest about taking the idea seriously.

About trying to break out of your rut.
14/ "I'm not in a rut" you argue.

Yes you are. We all are. Ruts are priors. We all have them and we'd be useless without them.

But the tendency is for your priors get too strong. Or perhaps more accurately, you should periodically weaken them. Anneal them into a better shape.
15/ Anyway, that's how I try to look at finance papers.

YMMV but it's been useful for me over the years.

/END

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More from @AgustinLebron3

18 Sep
1/ One of the strongest predictors of success in trading and in life, I think, is working at the appropriate level of meta. πŸ‘‰
2/ Most often the failure mode is not going high enough in meta-level.

For example, when faced with problems and challenges, the weakest interns asked for help solving the problem.

The strongest asked for help in how to *think* about the problem.
3/ For them, improving their mental schema about a domain was the important thing. Once they had a good mental model, the rest was merely *work*.

And we all know work is easy.
Read 7 tweets
14 Sep
1/ Observed correlation:

The better the trader, the less they care about which specific product/market they're trading.

That doesn't mean they don't have deep knowledge of the market or product. Far from it.

It means they don't *care*.
2/ Conversely, I see a lot of aspiring, new, and frankly bad traders who care a *lot* about the product.

"I trade options," "I trade futures" like it's a religious commitment. It's not. The product you're trading is a means to an end, at least if you care about money.
3/ One of the founders of my former company loved saying something like:

"If they made financial markets illegal tomorrow, we'd probably suffer for a while but we'd eventually be fine. We'll just go find something else to trade."

I think he was right.
Read 5 tweets
6 Sep
1/ A thread about the relationship between getting older and learning new things.

πŸ§΅πŸ‘‰πŸ‘‰
2/ It’s a weird relationship. One way of looking at it is through the lens of the explore-exploit tradeoff.
3/ In reinforcement learning, when you have to act in a novel environment and learn in an online way, there's a tension between trying new things vs doing the things you’ve already learned are good.
Read 24 tweets
27 Jul
There’s a subtle but very real fallacy about backtesting that lots of smart quant-y people fall into. I’ve fallen into it many times. And arguably I still do, just in more and more subtle ways.

A thread πŸ‘‰πŸ‘‰

1/n
So you have a trading strategy, and you want to backtest it to see if it’s any good. Being good boys and girls and others, we know we mustn’t overfit to the data we already have.

We know that historical data is precious gold, and it must be used carefully.

2/n
Well, imagine I propose the following solution: build a model of the market in all its gory detail: fat tails, heteroskedasticity, vol clustering, etc etc. I calibrate this model using historical data, and it’s pretty good.

It's awesome in fact.

3/n
Read 14 tweets
14 Jul
1/ How the hiring game is like trading, and vice versa.

A thread. πŸ‘‰πŸ‘‰πŸ‘‰
2/ Most of what I talk about here is trading, but one of the things that pays my bills is helping companies get better at hiring.

I don’t usually talk much about that.

Mostly because the audience for that stuff is… niche.
3/ But it’s become clear, over the years of helping clients hire better, that a lot of what I’m teaching is trading skills and mindsets.

Here’s what I mean...
Read 29 tweets
16 Jun
1/ I immigrated to the US 20 years ago, and I don't regret the decision. The people, the opportunities. It really *is* a wonderful country.

But downsides exist and they can basically all be summarized by the leafblower.

A thread... πŸ‘‡
2/ What is a leafblower? It's a motorized wind generator that moves light outdoor particles (leaves, twigs, dirt/dust).

Facts about the common leafblower and its typical use:
3/ It's gas-powered with a 2-stroke engine.

That means it's incredibly loud and incredibly smelly. You can't mistake the odor. It's an crappy-machine solution to a pseudo-problem.
Read 8 tweets

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