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Stochastic volatility and the distribution of exchange rate news Author info | Abstract | Publisher info | Download info | Related research | Statistics Ronald Mahieu
Peter Schotman
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This paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data. We concentrate on the effects of the distribution of the exchange rate innovations for parameter estimates and for estimates of the latent volatility series. We approximate the density of the log of exchange rate innovations by a mixture of normals. The major findings of the paper are that: (1) explicitly incorporating fat-tailed innovations increases the estimates of the persistence of volatility dynamics; (ii) estimates of the latent volatility series depend strongly on the estimation technique; (iii) the estimation error of the volatility time series is so large that finance applications to option pricing should be interpreted with care. We reach these conclusions using three different estimation techniques: quasi maximum likelihood, simulated EM, and a Bayesian procedure based on the Gibbs sampler.
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Paper provided by Federal Reserve Bank of Minneapolis in its series Discussion Paper / Institute for Empirical Macroeconomics with number
96.
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Date of creation: 1994Date of revision:
Handle: RePEc:fip:fedmem:96Contact details of provider: Postal: 90 Hennepin Avenue, P.O. Box 291, Minneapolis, MN 55480-0291 Phone: (612) 204-5000 Web page: http://minneapolisfed.org/ More information through EDIRC
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Keywords: Foreign exchange rates ; 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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[Downloadable!] (restricted)
Mahieu, Ronald & Schotman, Peter, 1994.
"Neglected common factors in exchange rate volatility ,"
Journal of Empirical Finance ,
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Other versions: Melino, Angelo & Turnbull, Stuart M., 1990.
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Tauchen, George E & Pitts, Mark, 1983.
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Econometrica ,
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Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994.
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Journal of Business & Economic Statistics ,
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[Downloadable!] (restricted)
Full
references Cited by : (explanations , 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.)
Éric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999.
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European Journal of Finance ,
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George J. Jiang & Pieter J. van der Sluis, 1998.
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Éric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1995.
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CIRANO Working Papers
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Sangjoon Kim, Neil Shephard & Siddhartha Chib, .
"Stochastic volatility: likelihood inference and comparison with ARCH models ,"
Economics Papers
W26, revised version of W, Economics Group, Nuffield College, University of Oxford.
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Other versions:
Sangjoon Kim & Neil Shephard, 1994.
"Stochastic volatility: likelihood inference and comparison with ARCH models ,"
Economics Papers
3., Economics Group, Nuffield College, University of Oxford.
[Downloadable!] Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1996.
"Stochastic Volatility: Likelihood Inference And Comparison With Arch Models ,"
Econometrics
9610002, EconWPA.
[Downloadable!] Kim, Sangjoon & Shephard, Neil & Chib, Siddhartha, 1998.
"Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models ,"
Review of Economic Studies ,
Blackwell Publishing, vol. 65(3), pages 361-93, July.
[Downloadable!] (restricted) Pieter J. van der Sluis, 1998.
"EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments ,"
Tinbergen Institute Discussion Papers
98-021/4, Tinbergen Institute.
[Downloadable!]
P. Bossaerts & C. Hafner & W. H"Ardle, .
"Foreign Exchange Rates Have Surprising Volatility ,"
Sonderforschungsbereich 373
1996-68, Humboldt Universitaet Berlin.
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