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A New Forecasting Model for USD/CNY Exchange Rate

id：2017 时间：20131014 状态：published 点击数：
作者Zongwu Cai, Linna Chen, Ying Fang
正文This paper models the return series of USD/CNY exchange rate by considering the conditional mean and conditional volatility simultaneously. An index type functional-coefficient model is adopted to model the conditional mean part and a GARCH type model with a policy dummy variable is applied to the conditional volatility model. We show that the government policy indeed has an impact on the exchange rate dynamic. To evaluate the out-of-sample forecasting ability, a prediction interval is computed by employing nonparametric conditional quantile regression. Our method outperforms other popular models in terms of various criteria.
JEL-Codes：
关键词：Nonlinearity; Functional-coefficient regression model; GARCH model; Index model; Quantile regression.
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