Arbeitspapier
Common Cycles in Volatility and Cross Section of Stock Returns
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: IES Working Paper ; No. 19/2017
- Klassifikation
-
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Financial Econometrics
Financial Forecasting and Simulation
- Thema
-
Return predictability
Quantiles
Wavelets
Panel data
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Barunik, Jozef
Kraicova, Lucie
- Ereignis
-
Veröffentlichung
- (wer)
-
Charles University in Prague, Institute of Economic Studies (IES)
- (wo)
-
Prague
- (wann)
-
2017
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Barunik, Jozef
- Kraicova, Lucie
- Charles University in Prague, Institute of Economic Studies (IES)
Entstanden
- 2017
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