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
Papers from arXiv.org
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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Working Paper: Volatility in the Italian Stock Market: An Empirical Study (2004) 
Journal Article: Volatility in the Italian stock market: an empirical study (1999) 
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:cond-mat/9903221
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