## 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
Modelling the frequency and severity of extreme exchange rate returns
β Scribed by Ping-Hung Hsieh
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 127 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.809
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Risk managers are often concerned about tail probabilities of asset return distributions, in particular the frequency and severity of extreme returns. In this article, we propose a model that integrates extreme value theory and point processes to model the frequency and severity of exchange rate returns. The proposed model is applied to daily spot exchange rate series and the parameters of interest, such as the tail index, the mean size and rate of occurrence of extreme returns, are estimated using maximum likelihood estimation. We study the impact of recent currency crises on the frequency and severity of the series and find that, during 1995β9, the frequency of extreme daily Japanese yenβUS dollar spot exchange rate returns increases twofold, and the time duration of high volatility persists longer for the Japanese yen series than for the Swiss franc and Danish krone series. Copyright Β© 2001 John Wiley & Sons, Ltd.
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