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Determinants of the implied volatility function on the Italian Stock Market

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Author Info
Alessandro Beber
Abstract

This paper describes the implied volatility function computed from options on the Italian stock market index between 1995 and 1998 and tries to find out potential explanatory variables. We find that the typical smirk observed for S&P500 stock index characterizes also Mib30 stock index. When potential determinants are investigated by a linear Granger Causality test, the important role played by option's time to expiration, transacted volumes and historical volatility is detected. A possible proxy of portfolio insurance activity does poorly in explaining the observed pattern. Further analysis shows that the dynamic interrelation between the implied volatility function and some determinants could be, to a certain extent, non-linear.

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File URL: http://repec.cs.unitn.it/AL/Doc/010.pdf
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Paper provided by Department of Computer and Management Sciences, University of Trento, Italy in its series Alea Tech Reports with number 010.

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Length: 40 pages
Date of creation: Mar 2001
Date of revision: 14 Jun 2008
Handle: RePEc:trt:aleatr:010

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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.:
  1. Thornton, Daniel L & Batten, Dallas S, 1985. "Lag-Length Selection and Tests of Granger Causality between Money and Income," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(2), pages 164-78, May. [Downloadable!] (restricted)
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  5. Pena, Ignacio & Rubio, Gonzalo & Serna, Gregorio, 1999. "Why do we smile? On the determinants of the implied volatility function," Journal of Banking & Finance, Elsevier, vol. 23(8), pages 1151-1179, August. [Downloadable!] (restricted)
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  9. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 5(2), pages 199-242. [Downloadable!] (restricted)
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  14. Bernard Dumas & Jeff Fleming & Robert E. Whaley, 1998. "Implied Volatility Functions: Empirical Tests," Journal of Finance, American Finance Association, vol. 53(6), pages 2059-2106, December. [Downloadable!] (restricted)
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  17. Jackwerth, Jens Carsten, 1999. "Option Implied Risk-Neutral Distributions and Implied Binomial Trees: A Literature Review," MPRA Paper 11634, University Library of Munich, Germany. [Downloadable!]
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  2. Enrico Zaninotto & Alessandro Rossi & Loris Gaio, 1999. "Stochastic learning in coordination games: a simulation approach," Quaderni DISA 015, Department of Computer and Management Sciences, University of Trento, Italy, revised 29 Jun 2003. [Downloadable!]
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  3. A. Marchi & Luisa Mich, 1998. "Un modello per l'analisi e valutazione dei siti web: applicazione al sito del consorzio Dolomiti Superski," Quaderni DISA 011, Department of Computer and Management Sciences, University of Trento, Italy.
  4. Flavio Bazzana, 2001. "I modelli interni per la valutazione del rischio di mercato secondo l'approccio del Value at Risk," Alea Tech Reports 011, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008. [Downloadable!]
  5. Loris Gaio & Yuriy M. Kaniovskyi & Enrico Zaninotto, 1999. "On bubbling dynamics generated bya stochastic model of herd behavior," Quaderni DISA 017, Department of Computer and Management Sciences, University of Trento, Italy.
    Other versions:
  6. Marco Filagrana, 2002. "Il model risk nella gestione dei rischi di mercato," Alea Tech Reports 015, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008. [Downloadable!]
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