Abstract
This paper examines the time-varying behaviour of beta risk and degree of volatility persistence in the daily stock returns of 30 industry portfolios consisting of firms from the NYSE, AMEX and NASDAQ stock exchanges. Using an exponential ARCH (EGARCH) for this purpose, it further examines the degree to which innovations exert an asymmetric impact on the conditional second moments of return distributions for each portfolio. Findings point to significant time-dependence in returns. There is also time-dependence in beta risk for all the industry portfolios in question and, finally, it appears that industries with relatively high volatility persistence possess higher systematic risks for investors during periods of heightened aggregate stock market volatility.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
