Bayesian analysis of nonlinear exchange rate dynamics and the purchasing power parity persistence puzzle

Lo, Ming and Morley, James (2015) Bayesian analysis of nonlinear exchange rate dynamics and the purchasing power parity persistence puzzle. Journal of International Money and Finance, 51. pp. 285-302. ISSN 0261-5606

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Abstract

We investigate the persistence of real exchange rates using Bayesian methods. First, an algorithm for Bayesian estimation of nonlinear threshold models is developed. Unlike standard grid-based estimation, the Bayesian approach fully captures joint parameter uncertainty and uncertainty about complicated functions of the parameters, such as the half-life measure of persistence based on generalized impulse response functions. Second, model comparison is conducted via marginal likelihoods, which reflect the relative abilities of models to predict the data given prior beliefs about model parameters. This comparison is conducted for a range of linear and nonlinear models and provides a direct evaluation of the importance of nonlinear dynamics in modeling exchange rates. The marginal likelihoods also imply weights for a model-averaged measure of persistence. The empirical results for real exchange rate data from the G7 countries suggest general support for nonlinearity, with the strength of the evidence depending on which country pair is being considered. However, the model-averaged estimates of half-lives are almost always as small or smaller than for the linear models alone, suggesting that the purchasing power parity persistence puzzle is less of a puzzle than previously thought

Item Type:
Journal Article
Journal or Publication Title:
Journal of International Money and Finance
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2000/2002
Subjects:
?? BAYESIAN ANALYSISREAL EXCHANGE RATE DYNAMICSPURCHASING POWER PARITYNONLINEAR THRESHOLD MODELSBAYESIAN MODEL AVERAGINGHALF LIVESFINANCEECONOMICS AND ECONOMETRICSC11C22F31 ??
ID Code:
130454
Deposited By:
Deposited On:
14 Jan 2019 15:55
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Sep 2023 04:27