Objective research to aid investing decisions
Menu
Value Allocations for July 2019 (Final)
Cash TLT LQD SPY
Momentum Allocations for July 2019 (Final)
1st ETF 2nd ETF 3rd ETF

Curbing Data Snooping

Posted in Big Ideas

How should researchers applying machine learning to quantitative finance address the field's data limitations, which exacerbate data snooping bias? In their October 2018 paper entitled "A Backtesting Protocol in the Era of Machine Learning", Robert Arnott, Campbell Harvey and Harry Markowitz take a step back and re-examine financial markets research methods, with focus on suppressing backtest overfitting of investment strategies. They introduce a research protocol recognizing that self-deception is easy. Their goal is that the protocol offers the best way to match or beat expectations in live trading. Based on logic and their collective experience, they conclude that:

Please or subscribe to continue reading...
Gain access to hundreds of premium articles, our momentum strategy, full RSS feeds, and more!  Learn more

Daily Email Updates
Login
Research Categories
Recent Research
Popular Posts