IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v58y2019ics0927538x1930160x.html
   My bibliography  Save this article

Low-volume return premium in the Korean stock market

Author

Listed:
  • Chae, Joon
  • Kang, Mhin

Abstract

We propose a new mechanism with which we explain an exceptional phenomenon in the Korean stock market, wherein the post-event return of an abnormally low-volume stock is larger than that of an abnormally high-volume stock, in contrast to what happens in other major stock markets. This mechanism is a combination of two market characteristics: one is the mean-reversion of trading volume; the other is the dominance of stocks with a positive correlation between return and change in trading volume. Using evidence from the Korean stock market, we show that the return generated by this mechanism has a highly concentrated distribution with a negative average and that the value has a scale higher than that of positive returns generated by other factors. We conclude that our suggested mechanism can explain the low-volume return premium in the Korean stock market. This finding presents a new way to explain how trading volume change affects future returns.

Suggested Citation

  • Chae, Joon & Kang, Mhin, 2019. "Low-volume return premium in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
  • Handle: RePEc:eee:pacfin:v:58:y:2019:i:c:s0927538x1930160x
    DOI: 10.1016/j.pacfin.2019.101204
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X1930160X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.pacfin.2019.101204?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    2. Hyuk Choe & Bong-Chan Kho & René M. Stulz, 2005. "Do Domestic Investors Have an Edge? The Trading Experience of Foreign Investors in Korea," Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 795-829.
    3. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    4. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    5. Wang, Peipei & Wen, Yuanji & Singh, Harminder, 2017. "The high-volume return premium: Does it exist in the Chinese stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 323-336.
    6. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    7. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    8. 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.
    9. Mayshar, Joram, 1983. "On Divergence of Opinion and Imperfections in Capital Markets," American Economic Review, American Economic Association, vol. 73(1), pages 114-128, March.
    10. Mr. Tonny Lybek & Mr. Abdourahmane Sarr, 2002. "Measuring Liquidity in Financial Markets," IMF Working Papers 2002/232, International Monetary Fund.
    11. Gordon, Narelle & Wu, Qiongbing, 2018. "The high-volume return premium and changes in investor recognition," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 121-136.
    12. Blake LeBaron, "undated". "Persistence of the Dow Jones Index on Rising Volume," Working papers _006, University of Wisconsin - Madison.
    13. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    14. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    15. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    16. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    17. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    18. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    19. 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.
    20. Kaniel, Ron & Ozoguz, Arzu & Starks, Laura, 2012. "The high volume return premium: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 103(2), pages 255-279.
    21. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    22. 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.
    23. Zhaodan Huang & James B. Heian & Ting Zhang, 2011. "Differences Of Opinion, Overconfidence, And The High‐Volume Premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 34(1), pages 1-25, March.
    24. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    25. Covrig, Vicentiu & Ng, Lilian, 2004. "Volume autocorrelation, information, and investor trading," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2155-2174, September.
    26. Ferhat Akbas, 2016. "The Calm before the Storm," Journal of Finance, American Finance Association, vol. 71(1), pages 225-266, February.
    27. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    28. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    29. Ben-Rephael, Azi & Kadan, Ohad & Wohl, Avi, 2015. "The Diminishing Liquidity Premium," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(1-2), pages 197-229, April.
    30. 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.
    31. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    32. Zhong-Guo Zhou, 2010. "The high-volume return premium: evidence from the Chinese stock market," Review of Quantitative Finance and Accounting, Springer, vol. 35(3), pages 295-313, October.
    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. Ma, Yao & Yang, Baochen & Su, Yunpeng, 2021. "Stock return predictability: Evidence from moving averages of trading volume," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    2. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.

    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. Wang, Zijun, 2021. "The high volume return premium and economic fundamentals," Journal of Financial Economics, Elsevier, vol. 140(1), pages 325-345.
    2. Banti, Chiara & Phylaktis, Kate & Sarno, Lucio, 2012. "Global liquidity risk in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 267-291.
    3. Stereńczak, Szymon & Zaremba, Adam & Umar, Zaghum, 2020. "Is there an illiquidity premium in frontier markets?," Emerging Markets Review, Elsevier, vol. 42(C).
    4. Daniel Chai & Robert Faff & Philip Gharghori, 2013. "Liquidity in asset pricing: New Australian evidence using low-frequency data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 375-400, August.
    5. Zhang, Yiming & Wang, Guanying, 2020. "Compensation for illiquidity in China: Evidence from an alternative measure," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    6. Huh, Sahn-Wook, 2014. "Price impact and asset pricing," Journal of Financial Markets, Elsevier, vol. 19(C), pages 1-38.
    7. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    8. Wu, Zhen-Xing & Chen, Tsung-Yu, 2019. "Information asymmetry, market state, and implementation risk," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Joanna Olbry�, 2014. "Is illiquidity risk priced? The case of the Polish medium-size emerging stock market," Bank i Kredyt, Narodowy Bank Polski, vol. 45(6), pages 513�536-5.
    10. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    11. Zhong, Angel & Chai, Daniel & Li, Bob & Chiah, Mardy, 2018. "Volume shocks and stock returns: An alternative test," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 1-16.
    12. Thomas Paul & Thomas Walther & André Küster-Simic, 2022. "Empirical analysis of the illiquidity premia of German real estate securities," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 203-260, June.
    13. Bryan Kelly & Alexander Ljungqvist, 2012. "Testing Asymmetric-Information Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1366-1413.
    14. Chordia, Tarun & Sarkar, Asani & Subrahmanyam, Avanidhar, 2005. "The Joint Dynamics of Liquidity, Returns, and Volatility Across Small and Large Firms," University of California at Los Angeles, Anderson Graduate School of Management qt6z81z2wc, Anderson Graduate School of Management, UCLA.
    15. Tomasz Wójtowicz, 2017. "High-volume return premium on the stock markets in Warsaw and Vienna," Bank i Kredyt, Narodowy Bank Polski, vol. 48(4), pages 375-402.
    16. Vayanos, Dimitri & Wang, Jiang, 2009. "Liquidity and asset prices: a united framework," LSE Research Online Documents on Economics 29303, London School of Economics and Political Science, LSE Library.
    17. Gordon, Narelle & Wu, Qiongbing, 2018. "The high-volume return premium and changes in investor recognition," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 121-136.
    18. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    19. Covrig, Vicentiu & Ng, Lilian, 2004. "Volume autocorrelation, information, and investor trading," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2155-2174, September.
    20. Ding, Xiaoya (Sara) & Ni, Yang & Zhong, Ligang, 2016. "Free float and market liquidity around the world," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 236-257.

    More about this item

    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:eee:pacfin:v:58:y:2019:i:c:s0927538x1930160x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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.