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Stock Price and Volume Relation in Emerging Markets

Author

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  • LOKMAN GÜNDÜZ
  • ABDULNASSER HATEMI-J

Abstract

This paper explores the causal relationship between stock prices and volume figures for stock markets in the Czech Republic, Hungary, Poland, Russia, and Turkey. Prior to running causality tests, the time series properties of the data are carefully investigated and special attention is given to the choice of optimal lag order. Granger causality tests, based on the Toda-Yamamoto (1995) procedure, reveal that there is no causal relationship between the variables in the Czech Republic. In Hungary, there is a bidirectional causality irrespective of volume or market turnover tested. In Poland, while there is bidirectional causality between stock prices and volume, there exists a unidirectional causality running from market turnover to stock prices. The stock prices unidirectionally cause both volume and market turnover without any feedback in the case of Russia and Turkey. These results have important implications regarding market efficiency and the effects of different market characteristics on the stock price/volume relation.

Suggested Citation

  • Lokman Gündüz & Abdulnasser Hatemi-J, 2005. "Stock Price and Volume Relation in Emerging Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 41(1), pages 29-44, January.
    • Handle: RePEc:mes:emfitr:v:41:y:2005:i:1:p:29-44
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    Citations

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    Cited by:

    1. De Gooijer, Jan G. & Sivarajasingham, Selliah, 2008. "Parametric and nonparametric Granger causality testing: Linkages between international stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2547-2560.
    2. Zuo, Alec & Qiu, Feng & Wheeler, Sarah Ann, 2019. "Examining volatility dynamics, spillovers and government water recovery in Murray-Darling Basin water markets," Resource and Energy Economics, Elsevier, vol. 58(C).
    3. Weihong HUANG & Wanying Wang, 2012. "Price-Volume Relations in Financial Market," Economic Growth Centre Working Paper Series 1209, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    5. William T. Lin & Shih-Chuan Tsai & David S. Sun, 2012. "Search Costs and Investor Trading Activity: Evidence from Limit Order Books," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(3), pages 4-30, May.
    6. Ling-Yun He & Sheng Yang & Wen-Si Xie & Zhi-Hong Han, 2014. "Contemporaneous and Asymmetric Properties in the Price-Volume Relationships in China's Agricultural Futures Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S1), pages 148-166.
    7. 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.
    8. Selim Tuzunturk, 2009. "The relationship between volatility and volume on the Istanbul stock exchange," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 1(3), pages 289-304.
    9. Teplova, Tamara & Tomtosov, Aleksandr, 2021. "Can high trading volume and volatility switch boost momentum to show greater inefficiency and avoid crashes in emerging markets? The economic relationship in factor investing in emerging markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 210-223.
    10. Anirut Pisedtasalasai & Abeyratna Gunasekarage, 2007. "Causal and Dynamic Relationships among Stock Returns, Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(4), pages 277-297, December.
    11. Xu, Chao & Zhao, Xiaojun & Wang, Yanwen, 2022. "Causal decomposition on multiple time scales: Evidence from stock price-volume time series," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    12. Gurleen Sahota & Balwinder Singh, 2016. "The Empirical Investigation of Causal Relationship between Intraday Return and Volume in Indian Stock Market," Vision, , vol. 20(3), pages 199-210, September.

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