Multifrequency News and Stock Returns

51 Pages Posted: 12 Jul 2005 Last revised: 7 Oct 2022

See all articles by Laurent E. Calvet

Laurent E. Calvet

SKEMA Business School; CEPR

Adlai J. Fisher

University of British Columbia (UBC) - Sauder School of Business

Multiple version iconThere are 2 versions of this paper

Date Written: June 2005


Recent research documents that aggregate stock prices are driven by shocks with persistence levels ranging from daily intervals to several decades. Building on these insights, we introduce a parsimonious equilibrium model in which regime-shifts of heterogeneous durations affect the volatility of dividend news. We estimate tightly parameterized specifications with up to 256 discrete states on daily U.S. equity returns. The multifrequency equilibrium has significantly higher likelihood than the classic Campbell and Hentschel (1992) specification, while generating volatility feedback effects 6 to 12 times larger. We show in an extension that Bayesian learning about stochastic volatility is faster for bad states than good states, providing a novel source of endogenous skewness that complements the "uncertainty" channel considered in previous literature (e.g., Veronesi, 1999). Furthermore, signal precision induces a tradeoff between skewness and kurtosis, and economies with intermediate investor information best match the data.

Suggested Citation

Calvet, Laurent E. and Fisher, Adlai J., Multifrequency News and Stock Returns (June 2005). NBER Working Paper No. w11441, Available at SSRN:

Laurent E. Calvet (Contact Author)

SKEMA Business School ( email )

5 Quai Marcel Dassault
Suresnes, 92150

CEPR ( email )

33 Great Sutton Street
London, EC1V 0DX
United Kingdom

Adlai J. Fisher

University of British Columbia (UBC) - Sauder School of Business ( email )

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Vancouver, BC V6T 1Z2
604-822-8331 (Phone)
604-822-4695 (Fax)


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