Factor Investing Backtester with Decay & Turnover Controls
Seed: factor_universe, formation_period, holding_period, decay_halflife, turnover_limitADVERTISEMENT - IN-ARTICLE
Implementation Guide
A backtesting framework that evaluates single and multi-factor strategies (value, momentum, quality) including decay-adjusted signals, realistic turnover/transaction cost assumptions, and portfolio construction variants (equal-weighted, risk-parity). Produces robust statistical summaries (IC, t-stat, exposure analysis) and scenario stress tests for regime dependency—helpful for quant teams validating investable factor allocations.
💡 Expert Q&A Insights
Q: How to avoid data-snooping?
Use out-of-sample testing and pre-specified factor definitions; implement walk-forward validation. \n
Q: How to model turnover friction?
Apply slippage and fee models per asset class and limit trades using turnover bands or thresholds.