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DETECTION OF HIGH AND LOW STATES IN STOCK MARKET RETURNS WITH MCMC METHOD IN A MARKOV SWITCHING MODEL

Clément Rey (), Serge Rey and Jean-Renaud Viala
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Clément Rey: CERMICS - Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique - ENPC - École nationale des ponts et chaussées
Jean-Renaud Viala: AMUNDI Asset Management

Working papers of CATT from HAL

Date: 2013-07
Note: View the original document on HAL open archive server: https://univ-pau.hal.science/hal-02939031v1
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Related works:
Journal Article: Detection of high and low states in stock market returns with MCMC method in a Markov switching model (2014) Downloads
Working Paper: Detection of High and Low States in Stock Market Returns with MCMC Method in a Markov Switching Model (2014) Downloads
Working Paper: Detection of high and low states in stock market returns with MCMC method in a Markov switching model (2014)
Working Paper: DETECTION OF HIGH AND LOW STATES IN STOCK MARKET RETURNS WITH MCMC METHOD IN A MARKOV SWITCHING MODEL (2013) Downloads
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