Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/240325 
Year of Publication: 
2020
Series/Report no.: 
Bank of Finland Research Discussion Papers No. 2/2020
Publisher: 
Bank of Finland, Helsinki
Abstract: 
We assess the benefits of using frequency-domain information for active portfolio management. To do so, we forecast the bond risk premium and equity risk premium using a methodology that isolates frequencies (of the predictors) with the highest predictive power. The resulting forecasts are more accurate than those of traditional forecasting methods for both asset classes. When used in the context of active portfolio man- agement, the forecasts based on frequency-domain information lead to better portfolio performances than when using the original time series of the predictors. It produces higher information ratio (0.57 vs 0.45), higher CER gains (1.12% vs 0.81%), and lower maximum drawdown (19.1% vs 19.6%).
Subjects: 
equity risk premium
bond risk premium
predictability
multiresolutionanalysis
active portfolio management
JEL: 
C58
G11
G17
Persistent Identifier of the first edition: 
ISBN: 
978-952-323-310-2
Document Type: 
Working Paper

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