General-to-specific modelling of exchange rate volatility: A forecast evaluation
نویسندگان
چکیده
منابع مشابه
General to Specific Modelling of Exchange Rate Volatility: a Forecast Evaluation
The general-to-specific (GETS) approach to modelling is widely employed in the modelling of economic series, but less so in financial volatility modelling due to computational complexity when many explanatory variables are involved. This study proposes a simple way of avoiding this problem and undertakes an out-of-sample forecast evaluation of the methodology applied to the modelling of weekly ...
متن کاملDépartement des Sciences Économiques de l'Université catholique de Louvain General to Specific Modelling of Exchange Rate Volatility : a Forecast Evaluation
The general-to-specific (GETS) approach to modelling is widely employed in the modelling of economic series, but less so in financial volatility modelling due to computational complexity when many explanatory variables are involved. This study proposes a simple way of avoiding this problem and undertakes an out-of-sample forecast evaluation of the methodology applied to the modelling of weekly ...
متن کاملModelling exchange rate volatility
Two types of statistical models are empirically applied to test the pattern of volatility in the exchange rate markets. One considers the autoregressive models and tests the random walk hypothesis. The other considers the conditional variance process and tests the hypothesis of chaotic dynamics. Empirical results mostly support the random walk hypothesis and also the existence of Lorenz-type ch...
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This paper investigates empirically the effect of volatility of the exchange rate of the U.S. dollar vis-à-vis the euro on U.S. stock market volatility while controlling for a number of drivers of stock return volatility. Using a GARCH(1, 1) model and using weekly data covering the period from the week of January 1, 1999 through the week of January 25, 2010, it is found that the 9/11 terrorist ...
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ژورنال
عنوان ژورنال: International Journal of Forecasting
سال: 2010
ISSN: 0169-2070
DOI: 10.1016/j.ijforecast.2010.07.001