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Bayesian Analysis Of A Fractional Cointegration Model Author info | Abstract | Publisher info | Download info | Related research | Statistics Gael Martin
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The concept of fractional cointegration, whereby deviations from an equilibrium relationship follow a fractionally integrated process, has attracted some attention of late. The extended concept allows cointegration to be associated with mean reversion in the error, rather than requiring the more stringent condition of stationarity. This paper presents a Bayesian method for conducting inference about fractional cointegration. The method is based on an approximation of the exact likelihood, with a Jeffreys prior being used to offset identification problems. Numerical results are produced via a combination of Markov chain Monte Carlo algorithms. The procedure is applied to several purchasing power parity relations, with substantial evidence found in favor of parity reversion.
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Article provided by Taylor and Francis Journals in its journal Econometric Reviews .
Volume (Year): 20 (2001)
Issue (Month): 2 ()
Pages: 217-234
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Handle: RePEc:taf:emetrv:v:20:y:2001:i:2:p:217-234Contact details of provider: Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=107830
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Keywords: Fractional cointegration ; Bayesian inference ; Jeffreys prior ; Markov chain Monte Carlo ; JEL+Classification:+C11> JEL Classification: C11 ; C32 ; References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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"Bayesian Estimation of a Stochastic Volatility Model Using Option and Spot Prices ,"
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