The memory of stock return volatility: Asset pricing implications

Arbeitspapier

This paper examines long memory volatility in the cross-section of stock returns. We show that long memory volatility is widespread in the U.S. and that the degree of memory can be related to firm characteristics such as market capitalization, book-to-market ratio, prior performance and price jumps. Long memory volatility is negatively priced in the cross-section. Buying stocks with shorter memory and selling stocks with longer memory in volatility generates significant excess returns of 1.71% per annum. Consistent with theory, we find that the volatility of stocks with longer memory is more predictable than stocks with shorter memory. This makes the latter more uncertain, which is compensated for with higher average returns.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Hannover Economic Papers (HEP) ; No. 613

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Asset Pricing; Trading Volume; Bond Interest Rates
• Subject: Asset Pricing ; Long Memory ; Persistence ; Volatility

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Nguyen, Duc Binh Benno ; Prokopczuk, Marcel ; Sibbertsen, Philipp
• Event: Veröffentlichung
• (who): Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
• (where): Hannover
• (when): 2017

Further information

• Handle: http://hdl.handle.net/10419/172867
• Last update: 10.03.2025, 11:43 AM CET