Cointegrated Statistical Arbitrage (Pairs Trading)
Market-Neutral Pairs Trading Exploiting Engle-Granger Cointegration & Z-Score Spreads
Executive Summary & Voice Briefing
The Statistical Arbitrage Engine continuously monitors high-correlation cryptocurrency and equity pairs through Augmented Dickey-Fuller (ADF) cointegration tests. When the spread between two cointegrated assets diverges past a 2.0 Z-Score, the system simultaneously longs the undervalued asset and shorts the overvalued asset, capturing delta-neutral convergence profit.
Institutional Backtest Metrics
Mathematical & Algorithmic Foundations
The stationary residual spread between two asset time series determined by hedge ratio beta.
Standardized spread deviation from rolling mean divided by rolling standard deviation.
Risk Management & Invalidation Boundaries
- Stop-Loss Rule: Hard stop-loss triggered if spread diverges beyond 3.5 Z-score (cointegration breakdown).
- Take-Profit Target: Close both legs when spread mean-reverts to Z-score of 0.0 (equilibrium).
- Position Sizing: Dollar-neutral beta-weighted allocation per pair.
- Maximum Leverage: 3x Notional Exposure
Strategy Frequently Asked Questions
What is the primary advantage of market-neutral statistical arbitrage?
Statistical arbitrage generates returns uncorrelated with overall market direction (beta = 0). It profits during bull markets, bear markets, and sideways chop by harvesting relative mispricings.
How does cointegration differ from correlation?
Correlation measures co-movement in asset returns over short windows and can break down rapidly. Cointegration measures long-term stationary equilibrium in price levels, ensuring that spread divergences reliably revert.
What causes pairs trading trades to lose money?
Losses occur when structural regime changes break the cointegrating relationship (e.g. protocol hack, tokenomic change, or bankruptcy of one asset), which is why strict Z-score stops (3.5 sigma) are enforced.
How is dollar neutrality maintained between two volatile tokens?
The algorithm continuously computes the Ordinary Least Squares (OLS) hedge ratio (beta) to balance the notional dollar exposure of the long and short legs precisely.
What exchange connectivity is required for stat arb execution?
Low-latency API access with synchronized order placement (sub-10ms execution) is vital to ensure both legs fill simultaneously without slippage lag.