Persistence in the Realized Betas: Some Evidence from the Stock Market

Author:

Caporale Guglielmo Maria1ORCID,Gil-Alana Luis A.23ORCID,Martin-Valmayor Miguel4ORCID

Affiliation:

1. Department of Economics and Finance, Brunel University London, London UB8 3PN, UK

2. School of Economics and Business, University of Navarra, 31009 Pamplona, Spain

3. Facultad de Derecho, Empresa y Gobierno, Universidad Francisco de Vitoria, 28223 Madrid, Spain

4. Facultad de Ciencias Económicas y Empresariales, Universidad Complutense de Madrid, 28040 Madrid, Spain

Abstract

This paper examines the stochastic behaviour of the realized betas in the CAPM model for the ten largest companies in terms of market capitalisation included in the U.S. Dow Jones stock market index. Fractional integration methods are applied to estimate their degree of persistence at daily, weekly, and monthly frequencies over the period July 2000–July 2020 over time spans of 1, 3, and 5 years. On the whole, the results indicate that the realized betas are highly persistent and do not exhibit weak mean-reverting behaviour at the weekly and daily frequencies, whilst there is some evidence of weak mean reversion at the monthly frequency. Our findings confirm the sensitivity of beta calculations to the choice of frequency and time span (the number of observations).

Funder

MCIN-AEI-FEDER

‘Ministerio de Ciencia e Innovación’

‘Agencia Estatal de Investigación’ (AEI) Spain

‘Fondo Europeo de Desarrollo Regional’

Publisher

MDPI AG

Reference72 articles.

1. Term structure persistence;Abbritti;Journal of Financial Econometrics,2016

2. Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns;Andersen;Journal of Finance,1997

3. A framework for exploring macroeconomic determinants of systematic risk;Andersen;American Economic Review,2005

4. Fomby, Thomas B. (2006). Advances in Econometrics: Econometric Analysis of Economic and Financial Time Series, JAI Press. In Honor of Rob F. Engle and Clive W. J. Granger.

5. Modeling and Forecasting Realized Volatility;Andersen;Econometrica-Evanston,2003

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