Multivariate Nearest-Neighbor Forecasts of EMS Exchange Rates
AbstractExchange rate modelling has been a persistent puzzle for international economists. Forecasts from popular models for the exchange rate generally fail to improve upon the random walk out-of-sample. While a multivariate nonparametric approach provides useful information about exchange rates, the model produces forecasts superior to the random walk for only one of the three EMS currencies examined. Using a statistic developed in Mizrach (1991), I find that the forecast improvement, a 4.5 percent reduction in mean squared error for the Lira in daily returns, is not statistically significant. A cross-validation exercise suggests that the improvement is also not robust. Copyright 1992 by John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.
Volume (Year): 7 (1992)
Issue (Month): S (Suppl. Dec.)
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Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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