In the present paper we apply the Gibbs Sampling approach to estimate the parameters of a MarkovSwitching Model which we use to model financial time series. In particular, we estimate the standard deviationof the time series in order to obtain an indicator similar to the VIX index. The Markov Switching technique hasbeen chosen because of the presence of exogenous factors which can have a large impact on the market, making itbehave differently in different time periods. We also perform a case study on the S&P500 index for the period 3January, 2007 - 29 December, 2014.

Gibbs Sampling Approach to Markov Switching Models in Finance

DI PERSIO, Luca
;
JOVIC, VUKASIN
2016-01-01

Abstract

In the present paper we apply the Gibbs Sampling approach to estimate the parameters of a MarkovSwitching Model which we use to model financial time series. In particular, we estimate the standard deviationof the time series in order to obtain an indicator similar to the VIX index. The Markov Switching technique hasbeen chosen because of the presence of exogenous factors which can have a large impact on the market, making itbehave differently in different time periods. We also perform a case study on the S&P500 index for the period 3January, 2007 - 29 December, 2014.
2016
Markov Switching, -stable Distribution, Gibbs Sampling, Finance, Financial time series
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/938078
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