IDEAS home Printed from https://ideas.repec.org/a/eco/journ1/2019-05-14.html
   My bibliography  Save this article

Empirical Analysis on Price-Volume Relation in the Stock Market of China

Author

Listed:
  • Shih-Yung Wei

    (Business School of Yulin Normal University, Yulin, China)

  • Li-Wei Lin

    (School of Information, Zhejiang University of Finance and Economics Dongfang College, Zhejiang, China)

  • Surong Yan

    (School of Information, Zhejiang University of Finance and Economics Dongfang College, Zhejiang, China)

  • Lu-jie Zhu

    (Business School of Yulin Normal University, Yulin, China)

Abstract

In this paper, the Granger causality test is used to explore the price-volume relation of the Shenzhen Stock Exchange and the Shanghai Stock Exchange and the spillover effect during the consolidation and the bull market. The research results show that price occurs after trading volume regardless of the consolidation period or the period of entering bull market and spillover effect is not significant during consolidation. After the stock exchanges entered the bull market the spillover effect is rather significant because the causality existed between the Shenzhen Stock Exchange and the Shanghai Stock Exchange due to stock index change.

Suggested Citation

  • Shih-Yung Wei & Li-Wei Lin & Surong Yan & Lu-jie Zhu, 2019. "Empirical Analysis on Price-Volume Relation in the Stock Market of China," International Journal of Economics and Financial Issues, Econjournals, vol. 9(5), pages 94-103.
  • Handle: RePEc:eco:journ1:2019-05-14
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijefi/article/download/8198/pdf
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijefi/article/view/8198/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    2. Basci, Erdem & Ozyildirim, Suheyla & Aydogan, Kursat, 1996. "A note on price-volume dynamics in an emerging stock market," Journal of Banking & Finance, Elsevier, vol. 20(2), pages 389-400, March.
    3. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    4. Cooper, Michael, 1999. "Filter Rules Based on Price and Volume in Individual Security Overreaction," Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 901-935.
    5. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    6. Robert A. Jarrow, 2008. "Market Manipulation, Bubbles, Corners, and Short Squeezes," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 6, pages 105-130, World Scientific Publishing Co. Pte. Ltd..
    7. M. F. M. Osborne, 1959. "Brownian Motion in the Stock Market," Operations Research, INFORMS, vol. 7(2), pages 145-173, April.
    8. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    9. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    10. Karolyi, G Andrew & Stulz, Rene M, 1996. "Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements," Journal of Finance, American Finance Association, vol. 51(3), pages 951-986, July.
    11. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    12. Cheuk, Man-Yin & Fan, Dennis K. & So, Raymond W., 2006. "Insider trading in Hong Kong: Some stylized facts," Pacific-Basin Finance Journal, Elsevier, vol. 14(1), pages 73-90, January.
    13. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    14. Yun Wang, Chang & Sang Cheng, Nam, 2004. "Extreme volumes and expected stock returns: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 12(5), pages 577-597, November.
    15. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
    16. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 3-85, Wharton School Rodney L. White Center for Financial Research.
    17. Jaffe, Jeffrey F & Westerfield, Randolph, 1985. "The Week-End Effect in Common Stock Returns: The International Evidence," Journal of Finance, American Finance Association, vol. 40(2), pages 433-454, June.
    18. Shih-Yung Wei & Wei-Chiang Samuelson Hong & Kai Wang, 2011. "Firm Size Transmission Effect and Price-Volume Relationship Analysis During Financial Tsunami Periods," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 2(3), pages 59-78, July.
    19. Khalid, Ahmed M. & Kawai, Masahiro, 2003. "Was financial market contagion the source of economic crisis in Asia?: Evidence using a multivariate VAR model," Journal of Asian Economics, Elsevier, vol. 14(1), pages 131-156, February.
    20. Fedenia, Mark & Grammatikos, Theoharry, 1992. "Options Trading and the Bid-Ask Spread of the Underlying Stocks," The Journal of Business, University of Chicago Press, vol. 65(3), pages 335-351, July.
    21. Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-538.
    22. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    23. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
    24. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    25. Pagan, Adrian R & Wickens, M R, 1989. "A Survey of Some Recent Econometric Methods," Economic Journal, Royal Economic Society, vol. 99(398), pages 962-1025, December.
    26. Said, Said E., 1991. "Unit-roots test for time-series data with a linear time trend," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 285-303, February.
    27. Gebka, Bartosz & Henke, Harald & Bohl, Martin T., 2006. "Institutional trading and stock return autocorrelation: Empirical evidence on Polish pension fund investors' behavior," Global Finance Journal, Elsevier, vol. 16(3), pages 233-244, March.
    28. Bessembinder, Hendrik & Seguin, Paul J, 1992. "Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-2034, December.
    29. Michael Smirlock & Laura Starks, 1985. "A Further Examination Of Stock Price Changes And Transaction Volume," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 8(3), pages 217-226, September.
    30. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 241-256, June.
    31. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    32. Crouch, R L, 1970. "A Nonlinear Test of the Random-Walk Hypothesis," American Economic Review, American Economic Association, vol. 60(1), pages 199-202, March.
    33. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    34. How, Janice C.Y. & Verhoeven, Peter & Huang, Caro X., 2005. "Information asymmetry surrounding earnings and dividend announcements: An intra-day analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 463-473.
    35. Chiang, Thomas C & Chiang, Jeannette Jin, 1996. "Dynamic Analysis of Stock Return Volatility in an Integrated International Capital Market," Review of Quantitative Finance and Accounting, Springer, vol. 6(1), pages 5-17, January.
    36. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    37. Raman Kumar & Atulya Sarin & Kuldeep Shastri, 1998. "The Impact of Options Trading on the Market Quality of the Underlying Security: An Empirical Analysis," Journal of Finance, American Finance Association, vol. 53(2), pages 717-732, April.
    38. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    39. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar, 1998. "Alternative factor specifications, security characteristics, and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 49(3), pages 345-373, September.
    40. Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(2), pages 127-141, June.
    41. Mazouz, Khelifa, 2004. "The effect of CBOE option listing on the volatility of NYSE traded stocks: a time-varying variance approach," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 695-708, December.
    42. Martens, Martin & Poon, Ser-Huang, 2001. "Returns synchronization and daily correlation dynamics between international stock markets," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1805-1827, October.
    43. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Beata Szetela & Grzegorz Mentel & Yuriy Bilan & Urszula Mentel, 2021. "The relationship between trend and volume on the bitcoin market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 25-42, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
    2. Lee, Cheng F & Rui, Oliver M, 2000. "Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets," Review of Quantitative Finance and Accounting, Springer, vol. 14(4), pages 341-360, June.
    3. Gebka, Bartosz, 2006. "Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume," Working Paper Series 2006,1, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    4. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    5. Gagnon, Louis & Karolyi, G. Andrew, 2009. "Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 953-986, August.
    6. Chuang, Wen-I & Liu, Hsiang-Hsi & Susmel, Rauli, 2012. "The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility," Global Finance Journal, Elsevier, vol. 23(1), pages 1-15.
    7. Gerlach, Richard & Chen, Cathy W.S. & Lin, Doris S.Y. & Huang, Ming-Hsiang, 2006. "Asymmetric responses of international stock markets to trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 422-444.
    8. Bartosz Gębka, 2012. "The Dynamic Relation Between Returns, Trading Volume, And Volatility: Lessons From Spillovers Between Asia And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 65-90, January.
    9. Wen-Ling Lin & Takatoshi Ito, 1994. "Price Volatility and Volume Spillovers between the Tokyo and New York Stock Markets," NBER Chapters, in: The Internationalization of Equity Markets, pages 309-343, National Bureau of Economic Research, Inc.
    10. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    11. Chia-Ching Chang & Sheng-Syan Chen & Robin Chou & Chin-Wen Hsin, 2011. "Intraday return spillovers and its variations across trading sessions," Review of Quantitative Finance and Accounting, Springer, vol. 36(3), pages 355-390, April.
    12. David McMillan & Alan Speight, 2002. "Return-volume dynamics in UK futures," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 707-713.
    13. 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.
    14. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    15. Jinliang Li, 2016. "When noise trading fades, volatility rises," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 475-512, October.
    16. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    17. 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.
    18. Abhyankar, Abhay H., 1995. "Trading-round-the clock: Return, volatility and volume spillovers in the Eurodollar futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 75-92, May.
    19. Sarika Mahajan & Balwinder Singh, 2008. "An Empirical Analysis of Stock Price-Volume Relationship in Indian Stock Market," Vision, , vol. 12(3), pages 1-13, July.
    20. Claudio Loderer & Marc-André Mittermayer, 2006. "America and the Swiss Stock Exchange: An Intraday Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(I), pages 79-114, March.

    More about this item

    Keywords

    price-volume relation; spillover effect; causality;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ1:2019-05-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.