Statistical measures of the volatility of exchange rates, interest rates, and stock prices are estimated for a number of countries. Periods of high volatility are identified and compared with periods of financial difficulty. The results indicate that GARCH models of volatility could be potentially useful in assessing financial soundness. Daily data are more revealing, but monthly series allow comparisons among many countries. Country specific models may be needed for more reliable inference.
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Paper provided by International Monetary Fund in its series IMF Working Papers with number
01/60.
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.:
Ghysels, E. & Harvey, A. & Renault, E., 1996.
"Stochastic Volatility,"
Cahiers de recherche
9613, Universite de Montreal, Departement de sciences economiques.
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Ghysels, E. & Harvey, A. & Renault, E., 1996.
"Stochastic Volatility,"
Cahiers de recherche
9613, Centre interuniversitaire de recherche en économie quantitative, CIREQ.