Sensitivity of Systematic Risk Estimates to the Return Measurement Interval under Serial Correlation
Dongcheol Kim
Review of Quantitative Finance and Accounting, 1999, vol. 12, issue 1, 49-64
Abstract:
This paper analytically and empirically investigates the sensitivity of the return measurement interval to the market beta estimate and suggests a market beta estimation method incorporating the investment horizon through a vector autoregressive (VAR) model when there is serial correlation in returns. The analytical relation between the beta estimate and the return measurement interval is obtained. Based on the analytical relation, a decision function for the intervalling effect is provided. It is found that the intervalling effect is mostly caused by January returns. Copyright 1999 by Kluwer Academic Publishers
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://journals.kluweronline.com/issn/0924-865X/contents link to full text (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:rqfnac:v:12:y:1999:i:1:p:49-64
Ordering information: This journal article can be ordered from
http://www.springer.com/finance/journal/11156/PS2
Access Statistics for this article
Review of Quantitative Finance and Accounting is currently edited by Cheng-Few Lee
More articles in Review of Quantitative Finance and Accounting from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().