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A New Forecasting Model for USD/CNY Exchange Rate


Zongwu Cai


University of North Carolina at Charlotte

Linna Chen


affiliation not provided to SSRN

Ying Fang


Xiamen University

July 19, 2010


Abstract:     
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.

Number of Pages in PDF File: 13

Keywords: Nonlinearity, Functional-Coefficient Regression Model, GARCH Model, Index

JEL Classification: C14, C52, C53

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Date posted: August 1, 2010  

Suggested Citation

Cai, Zongwu, Chen, Linna and Fang, Ying, A New Forecasting Model for USD/CNY Exchange Rate (July 19, 2010). Available at SSRN: http://ssrn.com/abstract=1651702 or http://dx.doi.org/10.2139/ssrn.1651702

Contact Information

Zongwu Cai
University of North Carolina at Charlotte ( email )
9201 University City Blvd
Charlotte, NC 28223
United States
704-687-2650 (Phone)
Linna Chen
affiliation not provided to SSRN ( email )
Ying Fang (Contact Author)
Xiamen University ( email )
Xiamen
China
HOME PAGE: http://www.wise.xmu.edu.cn/homepage.asp
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