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Forecasting Methods in Finance

Allan G Timmermann

No 12692, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: Our review highlights some of the key challenges in financial forecasting problems along with opportunities arising from the unique features of financiall data. We analyze the difficulty of establishing predictability in an environment with a low signal-to-noise ratio, persistent predictors, and instability in predictive relations arising from competitive pressures and investors' learning. We discuss approaches for forecasting the mean, variance, and probability distribution of asset returns. Finally, we cover how to evaluate financial forecasts while accounting for the possibility that numerous forecasting models may have been considered, leading to concerns of data mining.

New Economics Papers: this item is included in nep-ets, nep-fmk and nep-for
Date: 2018-02
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