Weighted-indexed semi-Markov models for modeling financial returns
Statistical Finance
2015-06-05 v2 Data Analysis, Statistics and Probability
Abstract
In this paper we propose a new stochastic model based on a generalization of semi-Markov chains to study the high frequency price dynamics of traded stocks. We assume that the financial returns are described by a weighted indexed semi-Markov chain model. We show, through Monte Carlo simulations, that the model is able to reproduce important stylized facts of financial time series as the first passage time distributions and the persistence of volatility. The model is applied to data from Italian and German stock market from first of January 2007 until end of December 2010.
Cite
@article{arxiv.1205.2551,
title = {Weighted-indexed semi-Markov models for modeling financial returns},
author = {Guglielmo D'Amico and Filippo Petroni},
journal= {arXiv preprint arXiv:1205.2551},
year = {2015}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1109.4259