Time-frequency forecast of the equity premium

Gonçalo Faria and Fabio Verona

No 6/2020, Bank of Finland Research Discussion Papers from Bank of Finland

Abstract: Any time series can be decomposed into cyclical components fluctuating at different frequencies. Accordingly, in this paper we propose a method to forecast the stock market's equity premium which exploits the frequency relationship between the equity premium and several predictor variables. We evaluate a large set of models and find that, by selecting the relevant frequencies for equity premium forecasting, this method significantly improves in both statistical and economic sense upon standard time series forecasting methods. This improvement is robust regardless of the predictor used, the out-of-sample period considered, and the frequency of the data used.

Keywords: time-frequency forecast; equity premium; multiresolution analysis (search for similar items in EconPapers)
JEL-codes: C58 G11 G17 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:bofrdp:rdp2020_006

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