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arXiv · 1902.01802

How should you discount your backtest PnL?

Adam Rej·Philip Seager·Jean-Philippe Bouchaud
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Abstract

In-sample overfitting is a drawback of any backtest-based investment strategy. It is thus of paramount importance to have an understanding of why and how the in-sample overfitting occurs. In this article we propose a simple framework that allows one to model and quantify in-sample PnL overfitting. This allows us to compute the factor appropriate for discounting PnLs of in-sample investment strategies.

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Adam Rej, Philip Seager, Jean-Philippe Bouchaud. 2019-02-05. How should you discount your backtest PnL?. https://arxiv.org/abs/1902.01802

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