## Abstract Since volatility is perceived as an explicit measure of risk, financial economists have long been concerned with accurate measures and forecasts of future volatility and, undoubtedly, the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model has been widely used for do
Structural breaks and GARCH models of exchange rate volatility
โ Scribed by David E. Rapach; Jack K. Strauss
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 360 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.976
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
We investigate the empirical relevance of structural breaks for GARCH models of exchange rate volatility using both inโsample and outโofโsample tests. We find significant evidence of structural breaks in the unconditional variance of seven of eight US dollar exchange rate return series over the 1980โ2005 periodโimplying unstable GARCH processes for these exchange ratesโand GARCH(1,1) parameter estimates often vary substantially across the subsamples defined by the structural breaks. We also find that it almost always pays to allow for structural breaks when forecasting exchange rate return volatility in real time. Combining forecasts from different models that accommodate structural breaks in volatility in various ways appears to offer a reliable method for improving volatility forecast accuracy given the uncertainty surrounding the timing and size of the structural breaks. Copyright ยฉ 2008 John Wiley & Sons, Ltd.
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