Basket Cointegration for Market-Neutral Mean-Reversion Trading
Summary
The document explains a market-neutral statistical arbitrage approach that pairs long and short baskets with equal value. It proposes scanning instruments to form baskets, assessing their correlations and cointegration, and filtering candidates with stationarity tests, Hurst estimates, and mean-reversion half-life estimates. For a selected pair, it models the log-price relationship and treats its residual as a spread: deviations beyond a standard-deviation boundary prompt a long position in the relatively cheap basket and a short position in the expensive one, with positions closed as the spread returns toward its center.
The article outlines the statistical rationale and execution considerations, including changing historical relationships, uncertain convergence time, liquidity, and transaction costs. It also makes promotional claims about stability, low market exposure, and behavior during extreme events, but supplies no readable quantitative performance evidence in the text. Its methods depend on reliable basket construction and valid, persistent statistical relationships; equal notional exposure alone cannot remove all risks or guarantee that a spread will revert.
Key ideas
- The method seeks mean reversion in price spreads between correlated, cointegrated baskets.
- Candidate baskets are assessed with correlation, stationarity, cointegration, Hurst, and half-life analyses.
- A spread exceeding a threshold leads to a long position in the relatively cheap basket and a short in the expensive basket.
- Positions are closed as the spread returns toward a central range.
- Historical relationships can break, convergence time is uncertain, and multi-asset execution introduces liquidity and cost risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.