

Quant Beckman
3.8K posts

@quantbeckman
Quantitative Researcher | Algorithmic Trading Newsletter: https://t.co/dMLUqhqn8z Platform: https://t.co/2WMqDkiRbt




You know, that situation where you're talking to a buddy and just can't see past the end of your nose. Has that ever happened to you? Getting into an absurd argument like that?





Futures contracts have very different volatility, so equal notional weights create uneven risk. This method scales each contract by inverse realized volatility and targets equal risk contribution across the portfolio.


Different trading models can show the same performance metrics and still lose money in very different ways. Each one therefore needs a risk approach built around its own failure pattern.







The two most serious problems are a mismatch between the stated and implemented objectives, and assumptions that largely remove adverse selection.


Overall trading models...






The paper is a toy nonlinear-control model showing how a strategic agent can create endogenous cycles under sublinear impact. The result doesn't prove that the method is usefull in live conditions.


Assumptions, perhaps one of the most absurd evils of any quant.