Fractional Differencing and Random Forest Framework for Financial Time-Series Forecasting
Fractional differencing offers a persistence-oriented representation of financial time series, while fractional volatility models provide information on persistent conditional variance. This study evaluates whether such fractional-econometric information adds predictive value to Random Forest models for daily stock ret...