4.3 Article

Volatility spillovers between foreign exchange and stock markets in industrialized countries

Journal

QUARTERLY REVIEW OF ECONOMICS AND FINANCE
Volume 70, Issue -, Pages 121-136

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.qref.2018.04.013

Keywords

Stock markets; Exchange rates; Market spillovers; Component-GARCH model; Long-run volatility; Short-run volatility

Categories

Ask authors/readers for more resources

This paper empirically analyses the evidence of intra-spillovers and inter-spillovers between foreign exchange and stock markets in the seven economies which constitute the majority of foreign exchange transactions (i.e. the United Kingdom, the United States, the Euro area, Australia, Switzerland, Canada, and Japan). Daily data during the period 1 January 1990 to 31 December 2015 and during the pre-global and post-global financial crisis periods is used. To that end, we employ two econometric methodologies: the C-GARCH methodology and the SVAR framework. Results suggest that: (i) permanent and transitory components of the conditional variance exhibit peaks in volatility during episodes of growing economic and financial instability; (ii) the long-run volatility relationships are stronger than the short-run volatility linkages with a reinforcement during the post-global financial crisis period; (iii) the presence of intraspillovers and inter-spillovers increases substantially during the post-global financial crisis period and (iv) the stock markets play a dominant role in the transmission of long-run and short-run volatility in all samples, except for the period after the global financial crisis, where the foreign exchange markets are the main long-run volatility triggers. (C) 2018 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available