Discovery of a 13-Sharpe OOS Factor: Drift Regimes Unlock Hidden Cross-Sectional Predictability
Mainak Singha

TL;DR
This paper introduces a high-performing, out-of-sample equity factor that leverages drift regimes to activate signals, achieving Sharpe ratios above 13 and demonstrating robustness over 20 years of data.
Contribution
The paper uncovers a novel regime-conditional equity factor that significantly improves out-of-sample performance by exploiting stock-specific drift regimes.
Findings
Achieves out-of-sample Sharpe ratio above 13
Delivers annualized returns of 158.6% with 12% volatility
Maintains high performance under robustness tests
Abstract
We document a high-performing cross-sectional equity factor that achieves out-of-sample Sharpe ratios above 13 through regime-conditional signal activation. The strategy combines value and short-term reversal signals only during stock-specific drift regimes, defined as periods when individual stocks show more than 60 percent positive days in trailing 63-day windows. Under these conditions, the factor delivers annualized returns of 158.6 percent with 12.0 percent volatility and a maximum drawdown of minus 11.9 percent. Using rigorous walk-forward validation across 20 years of S&P 500 data (2004 to 2024), we show performance roughly 13 times stronger than market benchmarks on a risk-adjusted basis, produced entirely out-of-sample with frozen parameters. The factor passes extensive robustness tests, including 1,000 randomization trials with p-values below 0.001, and maintains Sharpe ratios…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Sports Analytics and Performance · Complex Systems and Time Series Analysis
