Arbeitspapier

Tail risks, asset prices, and investment horizons

We examine how extreme market risks are priced in the cross-section of asset returns at various horizons. Based on the frequency decomposition of covariance between indicator functions, we define the quantile cross-spectral beta of an asset capturing tail-specific as well as horizon-, or frequency-specific risks. Further, we work with two notions of frequency-specific extreme market risks. First, we define tail market risk that captures dependence between extremely low market as well as asset returns. Second, extreme market volatility risk is characterized by dependence between extremely high increments of market volatility and extremely low asset return. Empirical findings based on the datasets with long enough history, 30 Fama-French Industry portfolios, and 25 Fama-French portfolios sorted on size and book-to-market support our intuition. Results suggest that both frequency-specific tail market risk and extreme volatility risks are significantly priced and our five-factor model provides improvement over specifications considered by previous literature.

Sprache
Englisch

Erschienen in
Series: IES Working Paper ; No. 10/2019

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Financial Econometrics
Asset Pricing; Trading Volume; Bond Interest Rates
Thema
Asset pricing
downside risk
frequency-specific risk
tail risk

Ereignis
Geistige Schöpfung
(wer)
Baruník, Jozef
Nevrla, Matěj
Ereignis
Veröffentlichung
(wer)
Charles University in Prague, Institute of Economic Studies (IES)
(wo)
Prague
(wann)
2019

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.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Baruník, Jozef
  • Nevrla, Matěj
  • Charles University in Prague, Institute of Economic Studies (IES)

Entstanden

  • 2019

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