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Extreme Return-Volume Dependence in East-Asian Stock Markets: A Copula Approach

Author

Listed:
  • Cathy Ning

    (Department of Economics, Ryerson University)

  • Tony S. Wirjanto

    (Department of Economics, University of Waterloo)

Abstract

A copula approach is adopted to examine the extreme return-volume relationship in six emerging East-Asian equity markets. The empirical results indicate that the return-volume dependence is significant and asymmetric at extremes for all six East-Asian markets. In particular extremely high returns (large gains) tend to be associated with extremely large trading volumes, but only marginal (extremely small) returns tend to be related to either large or small volumes.

Suggested Citation

  • Cathy Ning & Tony S. Wirjanto, 2008. "Extreme Return-Volume Dependence in East-Asian Stock Markets: A Copula Approach," Working Papers 08009, University of Waterloo, Department of Economics.
  • Handle: RePEc:wat:wpaper:08009
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    References listed on IDEAS

    as
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    9. Ling Hu, 2006. "Dependence patterns across financial markets: a mixed copula approach," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 717-729.
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    12. Ser-Huang Poon, 2004. "Extreme Value Dependence in Financial Markets: Diagnostics, Models, and Financial Implications," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 581-610.
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    Citations

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    Cited by:

    1. Medovikov, Ivan, 2014. "Can analysts predict rallies better than crashes?," Finance Research Letters, Elsevier, vol. 11(4), pages 319-325.
    2. repec:voj:journl:v:64:y:2017:i:1:p:45-59 is not listed on IDEAS
    3. Ezzat, Hassan & Kirkulak, Berna, 2014. "Information Arrival and Volatility: Evidence from the Saudi Arabia Stock Exchange (Tadawul)," MPRA Paper 61160, University Library of Munich, Germany.
    4. Muhammad Naeem & Hao Ji & Brunero Liseo, 2014. "Negative Return-Volume Relationship in Asian Stock Markets: Figarch-Copula Approach," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 2(2), pages 1-20.
    5. Ivan Medovikov, 2014. "When does the stock market listen to economic news? New evidence from copulas and news wires," Papers 1410.8427, arXiv.org.
    6. Medovikov, Ivan, 2016. "When does the stock market listen to economic news? New evidence from copulas and news wires," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 27-40.
    7. Gloria Gonzalez-Rivera & Wei Lin, 2016. "Extreme Returns and Intensity of Trading," Working Papers 201607, University of California at Riverside, Department of Economics.
    8. Rossi, Eduardo & Santucci de Magistris, Paolo, 2013. "Long memory and tail dependence in trading volume and volatility," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 94-112.
    9. Reboredo, Juan C. & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2015. "An analysis of dependence between Central and Eastern European stock markets," Economic Systems, Elsevier, vol. 39(3), pages 474-490.
    10. Chen, Wang & Wei, Yu & Lang, Qiaoqi & Lin, Yu & Liu, Maojuan, 2014. "Financial market volatility and contagion effect: A copula–multifractal volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 289-300.
    11. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
    12. Atskanov, Isuf, 2015. "Dynamic optimization of an investment portfolio on European stock markets using pair copulas," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 40(4), pages 84-105.
    13. Sun, Changyou, 2013. "Price variation and volume dynamics of securitized timberlands," Forest Policy and Economics, Elsevier, vol. 27(C), pages 44-53.

    More about this item

    Keywords

    Return-volume dependence; Extreme returns; Copulas; Tail dependence;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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