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Detecting and modelling nonlinearity in flexible exchange rate time series
Authors:Carl Chiarella  Maurice Peat  Max Stevenson
Abstract:The aim of this paper is to examine the appropriateness of nonlinear time series analysis as a framework in which to model the dynamics of exchange rates. This aim has been motivated by the questioning of the power of classical unit root tests, the accumulating amount of evidence which suggests that exchange rates follow some kind of nonlinear process, and the fact that standard asset pricing theories do not explain well the empirical observations of exchange rate movements. The paper has three major objectives. First, to test for the presence of unit roots in nominal exchange rate time series. Second, for those nominal exchange rate time series found to be stationary, to test for nonlinearity using both tests derived without a specific nonlinear alternative in mind and tests against a specific nonlinear model. Finally, we motivate the types of nonlinearity for which we test by examining a recently proposed nonlinear model of exchange rate dynamics.The authors are from the School of Finance and Economics, University of Technology, Sydney, Australia. We are extremely grateful to Alex Beliak and Alexander Khomin for their research assistance and help in developing our computer programs.
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