EconPapers    
Economics at your fingertips  
 

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
Additional contact information
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

Post-Print from HAL

Date: 2014-08
References: Add references at CitEc
Citations:

Published in Economic Modelling, 2014, 41, pp.145-155. ⟨10.1016/j.econmod.2014.05.003⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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 (2013) Downloads
Working Paper: DETECTION OF HIGH AND LOW STATES IN STOCK MARKET RETURNS WITH MCMC METHOD IN A MARKOV SWITCHING MODEL (2013) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04479362

DOI: 10.1016/j.econmod.2014.05.003

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-23
Handle: RePEc:hal:journl:hal-04479362