this work references cited by second hopReferences
- 2020Empirical Asset Pricing via Machine Learning2,528 cited
- 2006Approximately normal tests for equal predictive accuracy in nested models2,513 cited
- 1989Combining forecasts: A review and annotated bibliography2,170 cited
- 2009THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET*1,837 cited
- 2009Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy1,684 cited
- 2006Chapter 4 Forecast Combinations1,318 cited
- 2010Volatility forecast comparison using imperfect volatility proxies1,281 cited
- 2004Combination forecasts of output growth in a seven‐country data set1,138 cited
- 2012Stock Market Volatility and Macroeconomic Fundamentals1,122 cited
- 2014Forecasting the Equity Risk Premium: The Role of Technical Indicators1,001 cited
- 2020A CNN–LSTM model for gold price time-series forecasting869 cited
- 2010What do we learn from the price of crude oil futures?744 cited
- 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
- 2018The M4 Competition: Results, findings, conclusion and way forward634 cited
- 2012‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables
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