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> My long standing hypothesis on Medallion is that they figured out how to apply gauge theoretic techniques to financial markets. No. Listen to the Talking Mac
by dcolkitt 7y ago
> My long standing hypothesis on Medallion is that they figured out how to apply gauge theoretic techniques to financial markets.
No. Listen to the Talking Machines podcast with Nick Patterson (who was a senior VP in research at RennTech for a long time). To paraphrase he says that the vast majority of their strategies are no more than simple linear regression. The challenge is that even though regression is conceptually simple it still takes smart people to answer questions like "what should you be regressing", or "should you apply any transform" or "how should you clean your data" or "do you understand the process well enough to realize when results are obviously unrealistic".
The thing that makes a firm like Renaissance a league above a firm like Two Sigma is the same thing that makes Two Sigma a league above a firm like Winton. It's not mathematical gnosticism, it's plain old operational excellence. It's things like expansive reliable curated datasets, deep expertise on market structure, good execution systems, powerful research and backtesting software, good access to markets, economies of scale, talented practitioners, and excellent organizational management.
- orbifold 7y agoThe assertions you make are not necessarily in contradiction to what I am saying. In discretised form most of the formulas I'm talking about boil down to simple linear algebra with unknown parameters. You can then use essentially linear regression to find those parameters, based on observed market data and trades you are making. So I was talking about the "what should I be regressing" and "transformation" (you can use gauge theory to adjust for inflation and changes in exchange rate in non-obvious ways) part. There is no question that having access to enough data and operational excellent are a complementary component.
- anonu 7y agoAgree with this 10x. In my experience in high frequency trading, simple always wins out. Building a workflow around simple concepts is where the engineering challenge lies.