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The Impact of Stock Market Jumps on Time-Varying Return Correlations: Empirical Evidence from the Baltic Countries

Author

Listed:
  • Hellström, Jörgen

    () (Umeå School of Business, Umeå University)

  • Soultanaeva, Albina

    () (Department of Economics, Umeå University)

Abstract

In this paper we study the impact of market jumps on the time varying return correlations between stock market indices in the Baltic countries. An EARJI-EGARCH model facilitating direct modelling of the time varying return correlations is introduced. The empirical results indicate that there is a quite large number of identi…ed jumps in the emerging Baltic stock markets. The main …nding is that isolated market jumps in one of the markets generally have no or small e¤ects on the time-varying correlations. In contrast, simultaneous jumps of equal sign increase the average correlation, in some cases with as much as 100 percent.

Suggested Citation

  • Hellström, Jörgen & Soultanaeva, Albina, 2010. "The Impact of Stock Market Jumps on Time-Varying Return Correlations: Empirical Evidence from the Baltic Countries," Umeå Economic Studies 816, Umeå University, Department of Economics.
  • Handle: RePEc:hhs:umnees:0816
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    References listed on IDEAS

    as
    1. Brännäs, Kurt & G De Gooijer, Jan & Lönnbark, Carl & Soultanaeva, Albina, 2007. "Simultaneity and Asymmetry of Returns and Volatilities in the Emerging Baltic State Stock Exchanges," Umeå Economic Studies 725, Umeå University, Department of Economics.
    2. George M. von Furstenberg & Bang Nam Jeon, 1989. "International Stock Price Movements: Links and Messages," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, pages 125-180.
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    Cited by:

    1. Liu, Yuna, 2016. "Stock exchange integration and price jump risks - The case of the OMX Nordic exchange mergers," Umeå Economic Studies 925, Umeå University, Department of Economics.

    More about this item

    Keywords

    Correlated jumps; contagion;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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