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Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System

Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System We construct a series of 3‐, 4‐ and 5‐variable multivariate GARCH models of exchange rate volatility transmission across the important European Monetary System (EMS) currencies including the French franc, the German mark, the Italian lira, and the European Currency Unit. The models are estimated without imposing the common restriction of constant correlation on both daily and weekly data from April 1979–March 1997. Our results indicate the importance of checking for specification robustness in multivariate Generalized Autoregressive Conditional Heleroskedasticity (GARCH) modeling, we find that increased temporal aggregation reduces observed volatility transmission, and that the mark plays a dominant position in terms of volatility transmission. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Financial Review Wiley

Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System

The Financial Review , Volume 35 (1) – Feb 1, 2000

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References (14)

Publisher
Wiley
Copyright
Copyright © 2000 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0732-8516
eISSN
1540-6288
DOI
10.1111/j.1540-6288.2000.tb01405.x
Publisher site
See Article on Publisher Site

Abstract

We construct a series of 3‐, 4‐ and 5‐variable multivariate GARCH models of exchange rate volatility transmission across the important European Monetary System (EMS) currencies including the French franc, the German mark, the Italian lira, and the European Currency Unit. The models are estimated without imposing the common restriction of constant correlation on both daily and weekly data from April 1979–March 1997. Our results indicate the importance of checking for specification robustness in multivariate Generalized Autoregressive Conditional Heleroskedasticity (GARCH) modeling, we find that increased temporal aggregation reduces observed volatility transmission, and that the mark plays a dominant position in terms of volatility transmission.

Journal

The Financial ReviewWiley

Published: Feb 1, 2000

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