Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/174212 
Year of Publication: 
2017
Series/Report no.: 
IES Working Paper No. 19/2017
Publisher: 
Charles University in Prague, Institute of Economic Studies (IES), Prague
Abstract: 
We study the relationship between conditional quantiles of returns and the long-, medium- and short-term volatility in a portfolio of financial assets. We argue that the combination of quantile panel regression and wavelet decomposition of the volatility time series provides us with new insights into the pricing of risk and increases the accuracy of our estimates of re-turn quantiles. Our results contribute to the literature on the risk-return relationship with an emphasis on portfolio management under various investment horizons. Moreover, the analytical framework that we introduce should be applicable to a wide range of problems outside of our research area.
Subjects: 
Return predictability
Quantiles
Wavelets
Panel data
JEL: 
C14
C21
C58
G17
Document Type: 
Working Paper

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