English

Volatility in the Italian Stock Market: an Empirical Study

Statistical Mechanics 2008-12-02 v1 Disordered Systems and Neural Networks Statistical Finance

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.

Keywords

Cite

@article{arxiv.cond-mat/9903221,
  title  = {Volatility in the Italian Stock Market: an Empirical Study},
  author = {Marco Raberto and Enrico Scalas and Gianaurelio Cuniberti and Massimo Riani},
  journal= {arXiv preprint arXiv:cond-mat/9903221},
  year   = {2008}
}

Comments

9 pages, 4 figures, LaTeX2e, to be published in Physica A