Statistical Arbitrage in Indian Equities: A Practitioner’s View
India’s equity market has matured into one of the more interesting venues for stat-arb research. Where the inefficiencies still live, and how to think about them.
Indian equities have grown into a deep, liquid, electronically-traded market with a sophisticated derivatives layer and rising institutional participation. They have also retained pockets of inefficiency that have largely disappeared in developed markets — a function of segmentation, retail-driven flow and the relative scarcity of well-capitalised statistical arbitrage capacity.
Where the edges live
Sectoral pairs within Nifty 500 names continue to show mean-reverting spreads on horizons of days to weeks. Index-inclusion effects produce short-horizon liquidity demand around rebalances. Earnings drift in mid-caps is meaningfully larger than in the US large-cap universe.
Practical considerations
Position sizing in mid-caps is the binding constraint. Liquidity is concentrated in the top names; stat-arb capacity in the long tail is limited. Short selling is workable in F&O names but logistically harder in the cash market. Cost models must be calibrated locally, not borrowed from developed-market literature.
FAQ
Is stat-arb viable for non-domestic capital?
Yes, with careful attention to currency hedging, FII flow taxation and operational latency. Many global multi-strategy funds run dedicated India sleeves.
August Quants Research
The August Quants research desk publishes educational essays on systematic investing, market structure, ML in finance and portfolio construction. We write for institutional readers who value rigour over noise.