Investigating the intertemporal risk-return relation in international stock markets with the component garch model

Investigating the intertemporal risk-return r ...
Hui Guo, Hui Guo
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Last edited by MARC Bot
December 17, 2020 | History

Investigating the intertemporal risk-return relation in international stock markets with the component garch model

"We revisit the risk-return relation using the component GARCH model and international daily MSCI stock market data. In contrast with the previous evidence obtained from weekly and monthly data, daily data show that the relation is positive in almost all markets and often statistically significant. Likelihood ratio tests reject the standard GARCH model in favor of the component GARCH model, which strengthens the evidence for a positive risk-return tradeoff. Consistent with U.S. evidence, the long-run component of volatility is a more important determinant of the conditional equity premium than the short-run component for most international markets"--Federal Reserve Bank of St. Louis web site.

Publish Date
Language
English

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Edition Notes

Title from PDF file as viewed on 6/29/2006.

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 -- 2006-006A, Working paper (Federal Reserve Bank of St. Louis : Online) -- 2006-006A.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL31759729M
LCCN
2006619400

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