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The Dynamics of Implied Volatilities: A Common Principal Components Approach
Authors:Fengler  Matthias R.  Härdle  Wolfgang K.  Villa  Christophe
Affiliation:1.CASE – Center for Applied Statistics and Economics, Department of Business Administration and Economics, Humboldt-Universit?t zu Berlin, Spandauer Stra?e 1, 10178, Berlin, Germany
;2.CREST-LSM and CREREG-University of Rennes 1, Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI), Rennes Métropole – Campus de Ker Lann, Rue Blaise Pascal, BP 37203, 35172, BRUZ Cedex, France
;
Abstract:It is common practice to identify the number and sources of shocks that move, e.g., ATM implied volatilities by principal components analysis. This approach, however, is likely to result in a loss of information, since the surface structure of implied volatilities is neglected. In this paper we analyze the implied volatility surface along maturity slices with a common principal components analysis (CPC), known from morphometrics. In CPC analysis, the space spanned by the eigenvectors is identical across groups, whereas variances associated with the common principal components vary. Our analysis shows that implied volatility surface dynamics can be traced back to a common eigenstructure in maturity slices. This empirical result is used to set up a factor model for implied volatility surface dynamics. This revised version was published online in June 2006 with corrections to the Cover Date.
Keywords:common principal component analysis  principal component analysis  factor model  implied volatility surface  smile
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