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A Multivariate Integer Count Hurdle model: Theory and application to exchange rate dynamics

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  • Bien, Katarzyna
  • Nolte, Ingmar
  • Pohlmeier, Winfried

Abstract

In this paper we propose a model for the conditional multivariate density of integer count variables defined on the set Zn. Applying the concept of copula functions, we allow for a general form of dependence between the marginal processes which is able to pick up the complex nonlinear dynamics of multivariate financial time series at high frequencies. We use the model to estimate the conditional bivariate density of the high frequency changes of the EUR/GBP and the EUR/USD exchange rates.

Suggested Citation

  • Bien, Katarzyna & Nolte, Ingmar & Pohlmeier, Winfried, 2006. "A Multivariate Integer Count Hurdle model: Theory and application to exchange rate dynamics," CoFE Discussion Papers 06/06, University of Konstanz, Center of Finance and Econometrics (CoFE).
    • Handle: RePEc:zbw:cofedp:0606
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    References listed on IDEAS

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    Cited by:

    1. Katarzyna Bień-Barkowska, 2012. "A Bivariate Copula-based Model for a Mixed Binary-Continuous Distribution: A Time Series Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(2), pages 117-142, June.
    2. Magdalena Osinska & Andrzej Dobrzynski & Yochanan Shachmurove, 2016. "Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 819-851, December.

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    More about this item

    Keywords

    Integer Count Hurdle; Copula Functions; Discrete Multivariate Distributions; Foreign Exchange Market;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • F30 - International Economics - - International Finance - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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