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Modeling regional linkage of financial markets

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  • Huang, Weihong
  • Chen, Zhenxi

Abstract

With the development of globalization and regional economic integration, regional markets linked with a common currency emerge, in which investors from domestic market are allowed to trade in foreign markets. Empirical studies have evidenced extensively the existence of co-movement of asset prices or cross-correlation in market returns among these markets, especially in global event. However, there is no theoretical model in literature that can provide economically plausible justifications for these stylized facts. This research intends to fill up such a gap with a simplest possible nonlinear dynamic model. Based on the classical market-maker framework of Day and Huang (1990), a two-market HAM model is developed, which does not only prove in theory the existence of price co-movement but also replicate in simulation this typical characteristic, along with other well known stylized facts characterizing individual financial market. Moreover, theoretical analysis suggests meaningful implications for market opening policy. In particular, in terms of financial stability, a relatively small market may not benefit from market linkage and market opening is essentially a double-edged sword.

Suggested Citation

  • Huang, Weihong & Chen, Zhenxi, 2014. "Modeling regional linkage of financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 18-31.
  • Handle: RePEc:eee:jeborg:v:99:y:2014:i:c:p:18-31
    DOI: 10.1016/j.jebo.2013.12.009
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    Cited by:

    1. Zhenxi Chen & Weihong Huang & Huanhuan Zheng, 2018. "Estimating heterogeneous agents behavior in a two-market financial system," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 491-510, October.
    2. Zhenxi Chen & Stefan Reitz, 2020. "Dynamics of the European sovereign bonds and the identification of crisis periods," Empirical Economics, Springer, vol. 58(6), pages 2761-2781, June.
    3. Schmitt, Noemi & Westerhoff, Frank, 2014. "Speculative behavior and the dynamics of interacting stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 262-288.
    4. Jana Vychytilová, 2014. "Intermarket Technical Research of the U.S. Capital Markets and the Czech Stock Market Performance," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 62(6), pages 1509-1519.
    5. 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.
    6. Chen, Zhenxi, 2014. "Estimating heterogeneous agents behavior with different investment horizons in stock markets," FinMaP-Working Papers 5, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    7. Ana Carolina Costa Correa & Tabajara Pimenta Júnior & Luiz Eduardo Gaio, 2018. "Interdependence and asymmetries: Latin American ADRs and developed markets," Brazilian Business Review, Fucape Business School, vol. 15(4), pages 391-409, July.
    8. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, September.
    9. Sushko, Iryna & Tramontana, Fabio & Westerhoff, Frank & Avrutin, Viktor, 2015. "Symmetry breaking in a bull and bear financial market model," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 57-72.
    10. Huang, Weihong & Chen, Zhenxi, 2020. "Modelling contagion of financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. Zhenxi Chen, 2020. "Regional financial market bloc and spillover of the financial crisis: A heterogeneous agents approach," Manchester School, University of Manchester, vol. 88(2), pages 262-281, March.
    12. Jonathan W. Welburn, 2020. "Crises Beyond Belief: Findings on Contagion, the Role of Beliefs, and the Eurozone Debt Crisis from a Borrower–Lender Game," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 263-317, August.
    13. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Esashi, Kunihiko & Onozaki, Tamotsu & Saiki, Yoshitaka & Sato, Yuzuru, 2018. "Intermittent transition between synchronization and desynchronization in multi-regional business cycles," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 68-76.

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    More about this item

    Keywords

    Financial multi-market interactions; Market integration; Market maker; Market linkage; Chaos; Heterogeneous beliefs;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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