Statistical Arbitrage (Stat Arb) is a quantitative trading strategy that uses statistical models to identify and exploit short-term price inefficiencies or mispricing between related securities, with the expectation that prices will revert to their historically established relationships. It is an extension of pairs trading, typically applied across baskets of securities rather than just one pair. Stat Arb strategies use mathematical tools cointegration analysis, mean reversion models, and machine learning to identify mispricings and execute high-frequency trades. The strategy is market-neutral by design and relies on disciplined position sizing and rapid execution. In India, stat arb is primarily the domain of quantitative hedge funds and proprietary trading firms with direct market access and sophisticated technology infrastructure.
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