IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v29y2014icp1-17.html
   My bibliography  Save this article

The information content of analyst recommendation revisions — Evidence from the Chinese stock market

Author

Listed:
  • Jiang, George J.
  • Lu, Liangliang
  • Zhu, Dongming

Abstract

The Chinese stock market has witnessed a dramatic increase of analyst coverage over the past years. While analyst revisions clearly exhibit optimistic biases, we find significant market reactions to both upgrades and downgrades. However, in contrast to findings in existing literature for other markets, our results show that market reactions to downgrades are generally weaker than to upgrades in the Chinese stock market. We examine two hypotheses, one related to short-sale restriction and the other to the behavior of individual investors, and show that the latter is a more plausible explanation of relatively weaker market reactions to downgrades in the Chinese stock market. Finally, we show that the added value of revisions cannot be entirely credited to a small group of “lead” analysts. Our study adds to the literature with findings on the role of analysts in emerging stock markets of unique institutional settings.

Suggested Citation

  • Jiang, George J. & Lu, Liangliang & Zhu, Dongming, 2014. "The information content of analyst recommendation revisions — Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 1-17.
  • Handle: RePEc:eee:pacfin:v:29:y:2014:i:c:p:1-17
    DOI: 10.1016/j.pacfin.2014.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X14000262
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.pacfin.2014.03.002?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
    ---><---

    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. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    2. Lin, Hsiou-wei & McNichols, Maureen F., 1998. "Underwriting relationships, analysts' earnings forecasts and investment recommendations," Journal of Accounting and Economics, Elsevier, vol. 25(1), pages 101-127, February.
    3. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    4. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    5. Green, T. Clifton, 2006. "The Value of Client Access to Analyst Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 1-24, March.
    6. Bilgehan Yazici & Gulnur Muradoglu, 2002. "Dissemination of Stock Recommendations and Small Investors: Who Benefits?," Multinational Finance Journal, Multinational Finance Journal, vol. 6(1), pages 29-42, March.
    7. Jegadeesh, Narasimhan & Kim, Woojin, 2006. "Value of analyst recommendations: International evidence," Journal of Financial Markets, Elsevier, vol. 9(3), pages 274-309, August.
    8. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    9. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    10. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
    11. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    12. Eric C. Chang & Joseph W. Cheng & Yinghui Yu, 2007. "Short‐Sales Constraints and Price Discovery: Evidence from the Hong Kong Market," Journal of Finance, American Finance Association, vol. 62(5), pages 2097-2121, October.
    13. Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
    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. Barber, Brad M. & Lyon, John D., 1997. "Detecting long-run abnormal stock returns: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 43(3), pages 341-372, March.
    16. Wang, Changyun & Chin, Shengtyng, 2004. "Profitability of return and volume-based investment strategies in China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 12(5), pages 541-564, November.
    17. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    18. Michaely, Roni & Womack, Kent L, 1999. "Conflict of Interest and the Credibility of Underwriter Analyst Recommendations," Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 653-686.
    19. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    20. Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
    21. Rajan, Raghuram & Servaes, Henri, 1997. "Analyst Following of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 52(2), pages 507-529, June.
    22. Wang, Changyun, 2004. "Relative strength strategies in China's stock market: 1994-2000," Pacific-Basin Finance Journal, Elsevier, vol. 12(2), pages 159-177, April.
    23. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
    24. Elton, Edwin J & Gruber, Martin J & Grossman, Seth, 1986. "Discrete Expectational Data and Portfolio Performance," Journal of Finance, American Finance Association, vol. 41(3), pages 699-713, July.
    25. Anup Agrawal & Mark A. Chen, 2008. "Do Analyst Conflicts Matter? Evidence from Stock Recommendations," Journal of Law and Economics, University of Chicago Press, vol. 51(3), pages 503-537, August.
    26. Francis, J & Soffer, L, 1997. "The relative informativeness of analysts' stock recommendations and earnings forecast revisions," Journal of Accounting Research, Wiley Blackwell, vol. 35(2), pages 193-211.
    27. Brav, Alon & Geczy, Christopher & Gompers, Paul A., 2000. "Is the abnormal return following equity issuances anomalous?," Journal of Financial Economics, Elsevier, vol. 56(2), pages 209-249, May.
    28. 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.
    29. Bhushan, Ravi, 1989. "Firm characteristics and analyst following," Journal of Accounting and Economics, Elsevier, vol. 11(2-3), pages 255-274, July.
    30. Jarrow, Robert A, 1980. "Heterogeneous Expectations, Restrictions on Short Sales, and Equilibrium Asset Prices," Journal of Finance, American Finance Association, vol. 35(5), pages 1105-1113, December.
    31. Kang, Joseph & Liu, Ming-Hua & Ni, Sophie Xiaoyan, 2002. "Contrarian and momentum strategies in the China stock market: 1993-2000," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 243-265, June.
    32. Weber, Martin & Camerer, Colin F., 1998. "The disposition effect in securities trading: an experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 167-184, January.
    33. Jegadeesh, Narasimhan & Karceski, Jason, 2009. "Long-run performance evaluation: Correlation and heteroskedasticity-consistent tests," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 101-111, January.
    34. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    35. Loughran, Tim & Ritter, Jay R, 1995. "The New Issues Puzzle," Journal of Finance, American Finance Association, vol. 50(1), pages 23-51, March.
    36. Eun, Cheol S. & Huang, Wei, 2007. "Asset pricing in China's domestic stock markets: Is there a logic?," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 452-480, November.
    37. Moshirian, Fariborz & Ng, David & Wu, Eliza, 2009. "The value of stock analysts' recommendations: Evidence from emerging markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 74-83, March.
    38. Boni, Leslie & Womack, Kent L., 2006. "Analysts, Industries, and Price Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 85-109, March.
    39. Ryan, Paul & Taffler, Richard J., 2006. "Do brokerage houses add value? The market impact of UK sell-side analyst recommendation changes," The British Accounting Review, Elsevier, vol. 38(4), pages 371-386.
    40. Narasimhan Jegadeesh & Joonghyuk Kim & Susan D. Krische & Charles M. C. Lee, 2004. "Analyzing the Analysts: When Do Recommendations Add Value?," Journal of Finance, American Finance Association, vol. 59(3), pages 1083-1124, June.
    41. Ravi Dhar & Ning Zhu, 2006. "Up Close and Personal: Investor Sophistication and the Disposition Effect," Management Science, INFORMS, vol. 52(5), pages 726-740, May.
    42. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    43. Ivkovic, Zoran & Jegadeesh, Narasimhan, 2004. "The timing and value of forecast and recommendation revisions," Journal of Financial Economics, Elsevier, vol. 73(3), pages 433-463, 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. Mingwei Sun & Paskalis Glabadanidis, 2022. "Can technical indicators predict the Chinese equity risk premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 114-142, March.
    2. Wu, Yanran & Liu, Tingting & Han, Liyan & Yin, Libo, 2018. "Optimistic bias of analysts' earnings forecasts: Does investor sentiment matter in China?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 147-163.
    3. Drienko, Jozef & Sault, Stephen J. & von Reibnitz, Anna H., 2017. "Company responses to exchange queries in real time," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 116-141.
    4. Sébastien Galanti & Zahra Ben Braham, 2017. "Information efficiency on an emerging market: analysts' recommendations in Tunisia," Economics Bulletin, AccessEcon, vol. 37(1), pages 377-390.
    5. Qingchong Chen & Xiong Xiong & Ya Gao, 2021. "Is information really efficient for the market? Evidence of confirmatory bias in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 5965-5997, December.
    6. Ting Zhang & George J. Jiang & Wei‐Xing Zhou, 2021. "Order imbalance and stock returns: New evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2809-2836, June.
    7. Liu, Chenye & Wu, Ying & Zhu, Dongming, 2022. "Price overreaction to up-limit events and revised momentum strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 114(C).
    8. He, Feng & Ma, Yaming, 2019. "Do political connections decrease the accuracy of stock analysts' recommendations in the Chinese stock market?," Economic Modelling, Elsevier, vol. 81(C), pages 59-72.
    9. Wan, Xiaoyuan, 2020. "The impact of short-selling and margin-buying on liquidity: Evidence from the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 104-118.
    10. Wan, Xiaoyuan, 2018. "Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 1-15.
    11. Lin, Mei-Chen, 2023. "Analyst coverage and the idiosyncratic skewness effect in the Taiwan stock market," International Review of Financial Analysis, Elsevier, vol. 85(C).
    12. Gong, Qiang & Jacoby, Gady & Li, Shi & Lu, Lei, 2021. "Commonality in disagreement," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    13. Liu, Chang & Sun, Peng & Zhu, Dongming, 2023. "Lottery preference, short-sale constraint, and the salience effect: Evidence from China," Economic Modelling, Elsevier, vol. 125(C).

    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. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    2. Ambrus Kecskés & Roni Michaely & Kent L. Womack, 2017. "Do Earnings Estimates Add Value to Sell-Side Analysts’ Investment Recommendations?," Management Science, INFORMS, vol. 63(6), pages 1855-1871, June.
    3. 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.
    4. Thabang Mokoaleli-Mokoteli & Richard J. Taffler & Vineet Agarwal, 2009. "Behavioural Bias and Conflicts of Interest in Analyst Stock Recommendations," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3-4), pages 384-418.
    5. Altınkılıç, Oya & Hansen, Robert S. & Ye, Liyu, 2016. "Can analysts pick stocks for the long-run?," Journal of Financial Economics, Elsevier, vol. 119(2), pages 371-398.
    6. Moshirian, Fariborz & Ng, David & Wu, Eliza, 2009. "The value of stock analysts' recommendations: Evidence from emerging markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 74-83, March.
    7. Nerissa C. Brown & Kelsey D. Wei & Russ Wermers, 2014. "Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices," Management Science, INFORMS, vol. 60(1), pages 1-20, January.
    8. Lin, Mei-Chen, 2023. "Analyst coverage and the idiosyncratic skewness effect in the Taiwan stock market," International Review of Financial Analysis, Elsevier, vol. 85(C).
    9. Thabang Mokoaleli‐Mokoteli & Richard J. Taffler & Vineet Agarwal, 2009. "Behavioural Bias and Conflicts of Interest in Analyst Stock Recommendations," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3‐4), pages 384-418, April.
    10. Dan Bernhardt & Chi Wan & Zhijie Xiao, 2016. "The Reluctant Analyst," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 987-1040, September.
    11. Mei-Chen Lin & Po-Hsin Ho & Hsiang-Lin Chih, 2019. "Effects of managerial overconfidence on analyst recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 73-99, July.
    12. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    13. Chen Su, 2023. "The price impact of analyst revisions and the state of the economy: Evidence around the world," The Financial Review, Eastern Finance Association, vol. 58(4), pages 887-930, November.
    14. Mei-Chen Lin, 2020. "When analysts encounter lottery-like stocks: lottery-like stocks and analyst stock recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 327-353, July.
    15. Oya Altınkılıç & Vadim S. Balashov & Robert S. Hansen, 2013. "Are Analysts' Forecasts Informative to the General Public?," Management Science, INFORMS, vol. 59(11), pages 2550-2565, November.
    16. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017.
    17. repec:uts:finphd:34 is not listed on IDEAS
    18. Lily Fang & Ayako Yasuda, 2014. "Are Stars’ Opinions Worth More? The Relation Between Analyst Reputation and Recommendation Values," Journal of Financial Services Research, Springer;Western Finance Association, vol. 46(3), pages 235-269, December.
    19. Dionysia Dionysiou, 2015. "Choosing Among Alternative Long-Run Event-Study Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 158-198, February.
    20. Chen Su & Hanxiong Zhang & Kenbata Bangassa & Nathan Lael Joseph, 2019. "On the investment value of sell-side analyst recommendation revisions in the UK," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 257-293, July.
    21. Milena Suliga, 2016. "The reaction of investors to analyst recommendations of stocks listed on the WIG20 index," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 17(1), pages 123-148.

    More about this item

    Keywords

    Analyst recommendation revisions; Market reactions; Chinese stock market; Short-sale restriction; Behavior of individual investors;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:29:y:2014:i:c:p:1-17. 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.