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AIQF Daily digest — 12 new papers

Sent 31 October 2026 · 12 new papers

Quant Paper Radar · 6 of 12

  1. 1

    Assessing the effectiveness of Greenblatt's Magic Formula across international stock markets : literature review

    we backtested it — Sharpe 0.38 · quant relevance 0.99

    This literature review evaluates an annually rebalanced, equal-weight equity strategy combining high return on tangible capital with high EBIT/enterprise value. It synthesizes published backtests rather than presenting a new original backtest, highlighting transaction costs, universe selection and whether earnings yield alone performs better. The US implementation is buildable over available history, but the international results and earlier sample periods cannot be replicated with platform coverage.

    original paper

  2. 2

    A Drift-Aware Continuous Hybrid Learning Framework for Adaptive and Robust Stock Trading

    quant relevance 1.00

    The framework combines adaptively weighted SVM and XGBoost forecasts with a DDPG trading policy and drift-triggered retraining. Its US-equity, daily-frequency implementation is buildable, but NIFTY 50 coverage is unavailable and historical S&P 500 membership requires a disclosed capitalization-screen approximation. The abstract reports improved risk-adjusted trading performance, although numerical results are not visible in the supplied excerpt.

    original paper

  3. 3

    The Conditional Value of High-Frequency Covariance Estimates in Minimum-Variance Portfolio Optimization: Evidence from Borsa Istanbul

    quant relevance 1.00

    The study compares constrained minimum-variance portfolios using 5-minute, 30-minute, and daily covariance estimates on 11 Borsa Istanbul stocks. It reports conditional benefits from intraday covariance estimates, particularly with three-month estimation windows, rather than unconditional superiority. The investing application is direct, but the Turkish equity universe is unavailable on the platform.

    original paper

The rest of the batch

and 6 more · see the full radar

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Backtests are hypothetical research results; forward-portfolio figures are a live record. Neither is a guarantee of future performance. Research and education only: not individualised investment advice, not an offer to sell or a solicitation of an offer to buy any security.