The relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns in G7 countries

The relation between time-series and cross-se ...
Hui Guo, Hui Guo
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Last edited by MARC Bot
December 17, 2020 | History

The relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns in G7 countries

"This paper suggests that CAPM-based idiosyncratic variance (IV) correlates negatively with future stock returns because it is a proxy for loadings on discount-rate shocks in Campbell's (1993) ICAPM. The ICAPM also implies that there are important links between the time-series and cross-sectional IV effects. For example, the coefficients on conditional stock market variance and value-weighted average IV obtained from the time-series regressions reflect loadings on stock market returns and discount-rate shocks, respectively; therefore, they should help explain the cross section of stock returns. Moreover, we expect a close relation between the IV and book-to-market effects because recent studies show that the latter also reflects intertemporal pricing. These conjectures are strongly supported by the G7 countries data"--Federal Reserve Bank of St. Louis web site.

Publish Date
Language
English

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Cover of: The relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns in G7 countries

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Edition Notes

Title from PDF file as viewed on 6/1/2006.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
St. Louis, Mo.]
Series
Working paper -- 2006-036A, Working paper (Federal Reserve Bank of St. Louis : Online) -- 2006-036A.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL31759699M
LCCN
2006619362

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December 17, 2020 Created by MARC Bot Imported from Library of Congress MARC record