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Tail dependence and information flow: Evidence from international equity markets

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  • Al Rahahleh, Naseem
  • Bhatti, M. Ishaq
  • Adeinat, Iman

Abstract

Bhatti and Nguyen (2012) used the copula approach to measure the tail dependence between a number of international markets. They observed that some country pairs exhibit only left-tail dependence whereas others show only right-tail. However, the flow of information from uni-dimensional (one-tail) to bi-dimensional (two-tails) between various markets was not accounted for. In this study, we address the flow of information of this nature by using the dynamic conditional correlation (DCC–GARCH) model. More specifically, we use various versions of the DCC models to explain the nexus between the information flow of international equity and to explain the stochastic forward vs. backward dynamics of financial markets based on data for a 15-year period comprising 3,782 observations. We observed that the information flow between the US and Hong Kong markets and between the US and Australian markets are bi-directional. We also observed that the DCC model captures a wider co-movement structure and inter-connectedness compared to the symmetric Joe–Clayton copula.

Suggested Citation

  • Al Rahahleh, Naseem & Bhatti, M. Ishaq & Adeinat, Iman, 2017. "Tail dependence and information flow: Evidence from international equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 319-329.
    • Handle: RePEc:eee:phsmap:v:474:y:2017:i:c:p:319-329
    DOI: 10.1016/j.physa.2017.01.063
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    More about this item

    Keywords

    DCC models; Copula; Equity market; Left-tail dependence; Spillover effect;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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