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Measuring Conditional Persistence in Time Series

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Author Info
George Kapetanios () (Queen Mary, University of London)

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Abstract

The persistence properties of economic time series has been a primary object of investigation in a variety of guises since the early days of econometrics. This paper suggests investigating the persistence of processes conditioning on their history. In particular we suggest that examining the derivatives of the conditional expectation of a variable with respect to its lags maybe a useful indicator of the variation in persistence with respect to its past history. We discuss in detail the implementation of the measure. We present a Monte Carlo investigation of the suggested measure. We further apply the persistence analysis to real exchange rates.

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Publisher Info
Paper provided by Queen Mary, University of London, Department of Economics in its series Working Papers with number 474.

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Date of creation: Nov 2002
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Handle: RePEc:qmw:qmwecw:wp474

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Related research
Keywords: Persistence Nonparametric regression Nonlinear models Real exchange rates

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
F31 - International Economics - - International Finance - - - Foreign Exchange

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