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Volatility in the Italian Stock Market: an Empirical Study

Marco Raberto, Enrico Scalas, Gianaurelio Cuniberti and Massimo Riani
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Gianaurelio Cuniberti: Max-Planck-Institut fuer Physik komplexer Systeme, Germany
Massimo Riani: Universita` di Genova, Italy

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Abstract: We study the volatility of the MIB30-stock-index high-frequency data from November 28, 1994 through September 15, 1995. Our aim is to empirically characterize the volatility random walk in the framework of continuous-time finance. To this end, we compute the index volatility by means of the log-return standard deviation. We choose an hourly time window in order to investigate intraday properties of volatility. A periodic component is found for the hourly time window, in agreement with previous observations. Fluctuations are studied by means of detrended fluctuation analysis, and we detect long-range correlations. Volatility values are log-stable distributed. We discuss the implications of these results for stochastic volatility modelling.

Date: 1999-03
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Citations: View citations in EconPapers (6)

Published in Physica A 269, 148-155 (1999)

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http://arxiv.org/pdf/cond-mat/9903221 Latest version (application/pdf)

Related works:
Working Paper: Volatility in the Italian Stock Market: An Empirical Study (2004) Downloads
Journal Article: Volatility in the Italian stock market: an empirical study (1999) Downloads
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