Momentum (and Value) Enhanced by Institutional Prediction
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Wisdom of the Institutional Crowd: Implications for Anomaly Returns
AJ Chen; Gerard Hoberg; Miao Ben Zhang
- University of Southern California
- ?University of Southern California - Marshall School of Business
- ?University of Southern California - Marshall School of Business - Finance and Business Economics Department
Strategy in a nutshell
This strategy forecasts stock returns by integrating institutional investor signals extracted from Wall Street Journal articles with value and momentum anomalies. Stocks are filtered, scored for institutional relevance, and sorted into portfolios, going long on high-score, high-anomaly stocks and short on high-score, low-anomaly stocks, with monthly rebalancing.Rebalance monthly.
Economic rationale
This strategy leverages media coverage of institutional investors’ predictions to forecast stock returns. By quantifying how widely institutional trading insights are shared, it identifies anomalies and predicts price corrections.
Backtest performance
Annualised return5.58%
Volatility12.56%
Sharpe ratio0.44