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Daily research update

AIQF Daily digest — 9 new papers

Sent 7 October 2026 · 9 new papers

Quant Paper Radar · 4 of 9

  1. 1

    Enhancing Numerical Stability in Portfolio Optimization via Numerical Rank: The $$\delta $$-Stable Part of the Efficient Frontier

    we backtested it — Sharpe 0.66 · quant relevance 0.96

    The paper restricts mean-variance portfolio targets to a numerically stable segment of the efficient frontier. It reports an out-of-sample comparison of risk-adjusted returns after transaction costs, alongside evidence on allocation stability.

    original paper

  2. 2

    Robust enhanced index tracking portfolio selection under distributional uncertainty

    we backtested it — Sharpe 0.70 · quant relevance 0.98

    The paper proposes distributionally robust portfolios designed to outperform a benchmark while limiting downside risk relative to it. It reports improved out-of-sample wealth and risk-adjusted performance on real market data.

    original paper

  3. 3

    Pockets of predictability: a stochastic crowding model and finite-sample regime detection for the endogenous decay of trading anomalies

    we backtested it — Sharpe 0.33 · quant relevance 0.90

    The paper develops a theoretical model of anomaly crowding and a rolling-covariance detector for deciding when to trade a predictive signal. Its performance results come from model simulations, not a backtest on market data.

    original paper

The rest of the batch

and 5 more · see the full radar

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Backtest and model results are research artifacts, not live trading results and not a guarantee of future performance. Informational and educational purposes only. Not individualised investment advice.