Long term vs. short term comovements in stock markets: the use of Markov-switching multifractal models
AbstractEmpirical techniques to assess market comovements are numerous from cointegration to dynamic conditional correlations. This paper uses the fractal properties of asset returns and presents estimations of Markov switching multifractal models [as MSM] to give new insights about short and long run dependencies in stock returns. The main advantage of the model is to allow for the derivation of several indicators of comovements on heterogenous lasting horizons. Empirical applications are performed for four stock indices (CAC DAX FTSE NYSE) at daily frequency between 1996 and 2008.
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Bibliographic InfoPaper provided by Banque de France in its series Working papers with number 218.
Length: 39 pages
Date of creation: 2008
Date of revision:
Multivariate volatility models ; Markov switching multifractal model transmission; comovements.;
Other versions of this item:
- Julien Idier, 2011. "Long-term vs. short-term comovements in stock markets: the use of Markov-switching multifractal models," The European Journal of Finance, Taylor & Francis Journals, vol. 17(1), pages 27-48.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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