IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v23y2019icp166-180.html
   My bibliography  Save this article

Investor sentiment and stock market liquidity: Evidence from an emerging economy

Author

Listed:
  • Kumari, Jyoti

Abstract

I investigate the relationship between the stock market liquidity and investors sentiment. The significance of the liquidity in asset pricing is well documented, but little attention is paid in the empirical literature to the effect of investors sentiment on variation in the liquidity. I construct irrational aggregate sentiment index (ASI) measure the institutional investors sentiment. The empirical findings suggest that the stock market is highly liquid when sentiment is bullish and vice versa. Using the non-linear conditional volatility framework and non-linear Granger causality, I show the significant role of investors sentiment in predicting the stock market liquidity. The past psychological biases and herding of investors are associated with the volatility of liquidity through the direct and indirect channels.

Suggested Citation

  • Kumari, Jyoti, 2019. "Investor sentiment and stock market liquidity: Evidence from an emerging economy," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 166-180.
  • Handle: RePEc:eee:beexfi:v:23:y:2019:i:c:p:166-180
    DOI: 10.1016/j.jbef.2019.07.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635019300140
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2019.07.002?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
    ---><---

    References listed on IDEAS

    as
    1. Lorraine Rupande & Hilary Tinotenda Muguto & Paul-Francois Muzindutsi, 2019. "Investor sentiment and stock return volatility: Evidence from the Johannesburg Stock Exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1600233-160, January.
    2. Palomino, Frederic, 1996. "Noise Trading in Small Markets," Journal of Finance, American Finance Association, vol. 51(4), pages 1537-1550, September.
    3. Bekiros, Stelios D., 2014. "Exchange rates and fundamentals: Co-movement, long-run relationships and short-run dynamics," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 117-134.
    4. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    5. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    6. Malcolm Baker & Jeffrey Wurgler, 2000. "The Equity Share in New Issues and Aggregate Stock Returns," Journal of Finance, American Finance Association, vol. 55(5), pages 2219-2257, October.
    7. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    8. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    9. Brian Aitken, 1998. "Have Institutional Investors Destabilized Emerging Markets?," Contemporary Economic Policy, Western Economic Association International, vol. 16(2), pages 173-184, April.
    10. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    11. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    12. Jun, Sang-Gyung & Marathe, Achla & Shawky, Hany A., 2003. "Liquidity and stock returns in emerging equity markets," Emerging Markets Review, Elsevier, vol. 4(1), pages 1-24, March.
    13. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    14. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    15. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    16. Akiko Watanabe & Masahiro Watanabe, 2008. "Time-Varying Liquidity Risk and the Cross Section of Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2449-2486, November.
    17. Verma, Rahul & Soydemir, Gökçe, 2009. "The impact of individual and institutional investor sentiment on the market price of risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1129-1145, August.
    18. Wang, Yaw-Huei & Keswani, Aneel & Taylor, Stephen J., 2006. "The relationships between sentiment, returns and volatility," International Journal of Forecasting, Elsevier, vol. 22(1), pages 109-123.
    19. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    20. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    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. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    23. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    24. 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.
    25. P. Corredor & E. Ferrer & R. Santamaria, 2015. "The Impact of Investor Sentiment on Stock Returns in Emerging Markets: The Case of Central European Markets," Eastern European Economics, Taylor & Francis Journals, vol. 53(4), pages 328-355, July.
    26. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    27. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    28. Labidi, Chiraz & Yaakoubi, Soumaya, 2016. "Investor sentiment and aggregate volatility pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 53-63.
    29. De Long, J Bradford & Shleifer, Andrei & Summers, Lawrence H & Waldmann, Robert J, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
    30. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    31. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    32. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    33. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    34. Shuming Liu, 2015. "Investor Sentiment and Stock Market Liquidity," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 16(1), pages 51-67, January.
    35. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    36. Finter, Philipp & Niessen-Ruenzi, Alexandra & Ruenzi, Stefan, 2010. "The impact of investor sentiment on the German stock market," CFR Working Papers 10-03, University of Cologne, Centre for Financial Research (CFR).
    37. Bampinas Georgios & Panagiotidis Theodore, 2015. "On the relationship between oil and gold before and after financial crisis: linear, nonlinear and time-varying causality testing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 657-668, December.
    38. 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.
    39. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    40. Neal, Robert & Wheatley, Simon M., 1998. "Do Measures of Investor Sentiment Predict Returns?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(4), pages 523-547, December.
    41. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    42. John Y. Campbell & Albert S. Kyle, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," Review of Economic Studies, Oxford University Press, vol. 60(1), pages 1-34.
    43. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    44. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    45. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, June.
    46. Goyenko, Ruslan Y. & Ukhov, Andrey D., 2009. "Stock and Bond Market Liquidity: A Long-Run Empirical Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 189-212, February.
    47. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    48. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    49. Datar, Vinay T. & Y. Naik, Narayan & Radcliffe, Robert, 1998. "Liquidity and stock returns: An alternative test," Journal of Financial Markets, Elsevier, vol. 1(2), pages 203-219, August.
    50. 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.
    51. Terrance Odean, 1998. "Volume, Volatility, Price, and Profit When All Traders Are Above Average," Journal of Finance, American Finance Association, vol. 53(6), pages 1887-1934, December.
    52. Alzahrani, Mohammed & Masih, Mansur & Al-Titi, Omar, 2014. "Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 175-201.
    53. 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.
    54. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    55. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    56. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2018. "Liquidity and macroeconomic management in emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 1-24.
    57. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Damien KUNJAL, 2023. "The Role of Investor Attention in ETF Liquidity," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 7(2), pages 45-64.
    2. Liu, Jia & Fu, Pengju & Lin, Chunyan, 2023. "Rule improvements and irrational characteristics of herd behaviour–The effects of SMT policy," Finance Research Letters, Elsevier, vol. 56(C).
    3. Le, Thai Hong & Luong, Anh Tram, 2022. "Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam," Resources Policy, Elsevier, vol. 78(C).
    4. Chen, Xiaomeng Charlene & Hellmann, Andreas & Sood, Suresh, 2022. "A framework for analyst economic incentives and cognitive biases: Origination of the walk-down in earnings forecasts," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    5. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    6. Dhoha Mellouli & Siwar Ellouz, 2023. "Determinants of IPO stock market liquidity in a small emerging economy," SN Business & Economics, Springer, vol. 3(9), pages 1-19, September.
    7. Dhasmana, Samriddhi & Ghosh, Sajal & Kanjilal, Kakali, 2023. "Does investor sentiment influence ESG stock performance? Evidence from India," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    8. Chen, Yufeng & Wang, Chuwen & Zhu, Zhitao, 2022. "Toward the integration of European gas futures market under COVID-19 shock: A quantile connectedness approach," Energy Economics, Elsevier, vol. 114(C).
    9. Shuhong Wang & Xiaojing Yi & Malin Song, 2023. "The interrelationship of air quality, investor sentiment, and stock market liquidity: a review of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10955-10973, October.
    10. Hussain, Shahzad & Akbar, Muhammad & Malik, Qaisar & Ahmad, Tanveer & Abbas, Nasir, 2021. "Downside Systematic Risk in Pakistani Stock Market: Role of Corporate Governance, Financial Liberalization and Investor Sentiment," CAFE Working Papers 14, Centre for Accountancy, Finance and Economics (CAFE), Birmingham City Business School, Birmingham City University.

    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. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    2. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2022. "The conditional impact of investor sentiment in global stock markets: A two-channel examination," Journal of Banking & Finance, Elsevier, vol. 138(C).
    3. David C. Ling & Andy Naranjo & Benjamin Scheick, 2014. "Investor Sentiment, Limits to Arbitrage and Private Market Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(3), pages 531-577, September.
    4. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    5. Saumya Ranjan Dash & Jitendra Mahakud, 2013. "Investor Sentiment and Stock Return: Do Industries Matter?," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 315-349, August.
    6. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    7. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    8. Labidi, Chiraz & Yaakoubi, Soumaya, 2016. "Investor sentiment and aggregate volatility pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 53-63.
    9. Mariem Talbi & Amel Ben Halima, 2019. "Global Contagion of Investor Sentiment during the US Subprime Crisis: The Case of the USA and the Region of Latin America," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 163-174.
    10. Ahmed, Bouteska, 2020. "Understanding the impact of investor sentiment on the price formation process: A review of the conduct of American stock markets," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    11. Yang, Yan & Copeland, Laurence, 2014. "The Effects of Sentiment on Market Return and Volatility and The Cross-Sectional Risk Premium of Sentiment-affected Volatility," Cardiff Economics Working Papers E2014/12, Cardiff University, Cardiff Business School, Economics Section.
    12. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    13. Stefan Abrantes Costa & Pedro Manuel Nogueira Reis & Antonio Pedro Soares Pinto, 2020. "Subjective/ Behavioural Factors Influence the PSI 20 and IBEX 35," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 13-27, October.
    14. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
    15. Kiran Thapa, 2013. "Stock Message Board Recommendations and Share Trading Activity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2013.
    16. Jang, Jeewon & Kang, Jangkoo, 2019. "Probability of price crashes, rational speculative bubbles, and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 222-247.
    17. Han, Xing & Li, Youwei, 2017. "Can investor sentiment be a momentum time-series predictor? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 212-239.
    18. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    19. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    20. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.

    More about this item

    Keywords

    Investors sentiment; Stock market liquidity; Irrational investors sentiment; Volatility; Non-linearity; India;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets
    • G4 - Financial Economics - - Behavioral Finance

    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:beexfi:v:23:y:2019:i:c:p:166-180. 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: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.