Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14529
Title: Mean and volatility spillovers across major national stock markets: further empirical evidence
Authors: Theodossiou, Panayiotis 
Lee, Unro 
metadata.dc.contributor.other: Θεοδοσίου, Παναγιώτης
Major Field of Science: Social Sciences
Field Category: Economics and Business
Issue Date: 1993
Source: Journal of Financial Research, 1993, vol. 16, no. 4, pp. 337-350
Volume: 16
Issue: 4
Start page: 337
End page: 350
Journal: Journal of Financial Research 
Abstract: This paper provides additional insight into the nature and degree of interdependence of stock markets of the United States, Japan, the United Kingdom, Canada, and Germany, and it reports the extent to which volatility in these markets influences expected returns. The analysis uses the multivariate GARCH‐M model. Although they are considered weak, statistically significant mean spillovers radiate from stock markets of the U.S. to the U.K., Canada, and Germany, and then from the stock markets of Japan to Germany. No relation is found between conditional market volatility and expected returns. Strong time‐varying conditional volatility exists in the return series of all markets. The own‐volatility spillovers in the U.K. and Canadian markets are insignificant, supporting the view that conditional volatility of returns in these markets is “imported” from abroad, specifically from the U.S. Significant volatility spillovers radiate from the U.S. stock market to all four stock markets, from the U.K. stock market to the Canadian stock market, and from the German stock market to the Japanese stock market. The results are robust and no changes occur in the correlation structure of returns over time.
URI: https://hdl.handle.net/20.500.14279/14529
ISSN: 02702592
DOI: 10.1111/j.1475-6803.1993.tb00152.x
Rights: © Wiley
Type: Article
Affiliation : Rutgers University-Camden campus 
University of the Pacific 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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