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When analysts encounter lottery-like stocks: lottery-like stocks and analyst stock recommendations

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  • Mei-Chen Lin

    (National Taipei University)

Abstract

The primary aim of this study is to determine whether there is any association between stocks with lottery-like characteristics and the analyst revisions carried out on such stocks. Given that lottery-like stocks generally tend to be overpriced and have inferior performance to non-lottery-like stocks, analysts are more likely to issue downgrade recommendations on the former than the latter. Analysts have the ability to identify which lottery-like stocks are ‘dark horses’ with good investment potential, and indeed, their revisions on lottery-like stocks are generally found to have a larger stock-price impact than those on non-lottery-like stocks. Lottery-like stocks are also associated with sentiment-driven overpricing, with market sentiment potentially strengthening the negative price response to revisions from ‘buy’ to ‘sell’ for lottery-like stocks; however, such sentiment can also weaken the positive price response to revisions from ‘sell’ to ‘buy’ for lottery-like stocks.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:rqfnac:v:55:y:2020:i:1:d:10.1007_s11156-019-00845-0
    DOI: 10.1007/s11156-019-00845-0
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    as
    1. Chabi-Yo, Fousseni, 2011. "Explaining the idiosyncratic volatility puzzle using Stochastic Discount Factors," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1971-1983, August.
    2. Boris Groysberg & Paul M. Healy & David A. Maber, 2011. "What Drives Sell‐Side Analyst Compensation at High‐Status Investment Banks?," Journal of Accounting Research, Wiley Blackwell, vol. 49(4), pages 969-1000, September.
    3. Han, Bing & Kumar, Alok, 2013. "Speculative Retail Trading and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 377-404, April.
    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. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    6. 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.
    7. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    8. Lai, Richard, 2004. "A Catering Theory of Analyst Bias," MPRA Paper 4761, University Library of Munich, Germany.
    9. 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.
    10. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    11. Shuping Chen & Dawn A. Matsumoto, 2006. "Favorable versus Unfavorable Recommendations: The Impact on Analyst Access to Management‐Provided Information," Journal of Accounting Research, Wiley Blackwell, vol. 44(4), pages 657-689, September.
    12. Kraft, Pepa, 2015. "Do rating agencies cater? Evidence from rating-based contracts," Journal of Accounting and Economics, Elsevier, vol. 59(2), pages 264-283.
    13. Kaplanski, Guy & Levy, Haim, 2010. "Sentiment and stock prices: The case of aviation disasters," Journal of Financial Economics, Elsevier, vol. 95(2), pages 174-201, February.
    14. Shleifer, Andrei & Vishny, Robert W., 2003. "Stock market driven acquisitions," Journal of Financial Economics, Elsevier, vol. 70(3), pages 295-311, December.
    15. Jovanovic, Boyan & MacDonald, Glenn M, 1994. "The Life Cycle of a Competitive Industry," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 322-347, April.
    16. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    17. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    18. Jegadeesh, Narasimhan & Kim, Woojin, 2006. "Value of analyst recommendations: International evidence," Journal of Financial Markets, Elsevier, vol. 9(3), pages 274-309, August.
    19. 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.
    20. 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.
    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. 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.
    24. Abe de Jong & Eric Duca & Marie Dutordoir, 2013. "Do Convertible Bond Issuers Cater to Investor Demand?," Financial Management, Financial Management Association International, vol. 42(1), pages 41-78, March.
    25. Holmstrom, Bengt R. & Tirole, Jean, 1989. "The theory of the firm," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 1, chapter 2, pages 61-133, Elsevier.
    26. repec:bla:jfinan:v:59:y:2004:i:3:p:1125-1165 is not listed on IDEAS
    27. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    28. Jiang, George J. & Xu, Danielle & Yao, Tong, 2009. "The Information Content of Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 1-28, February.
    29. Kumar, Alok & Page, Jeremy K. & Spalt, Oliver G., 2011. "Religious beliefs, gambling attitudes, and financial market outcomes," Journal of Financial Economics, Elsevier, vol. 102(3), pages 671-708.
    30. Brian Boyer & Todd Mitton & Keith Vorkink, 2010. "Expected Idiosyncratic Skewness," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 169-202, January.
    31. Li, Wei & Lie, Erik, 2006. "Dividend changes and catering incentives," Journal of Financial Economics, Elsevier, vol. 80(2), pages 293-308, May.
    32. Markus K. Brunnermeier & Jonathan A. Parker & Christian Gollier, 2007. "Optimal Beliefs, Asset Prices, and the Preference for Skewed Returns," American Economic Review, American Economic Association, vol. 97(2), pages 159-165, May.
    33. Fong, Wai Mun & Toh, Benjamin, 2014. "Investor sentiment and the MAX effect," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 190-201.
    34. Jiang, Zhan & Kim, Kenneth A. & Lie, Erik & Yang, Sean, 2013. "Share repurchases, catering, and dividend substitution," Journal of Corporate Finance, Elsevier, vol. 21(C), pages 36-50.
    35. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    36. Luboš Pástor & Pietro Veronesi, 2009. "Technological Revolutions and Stock Prices," American Economic Review, American Economic Association, vol. 99(4), pages 1451-1483, September.
    37. Benjamin M. Blau, 2017. "Skewness preferences, asset prices and investor sentiment," Applied Economics, Taylor & Francis Journals, vol. 49(8), pages 812-822, February.
    38. 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.
    39. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    40. 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.
    41. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    42. Eraker, Bjørn & Ready, Mark, 2015. "Do investors overpay for stocks with lottery-like payoffs? An examination of the returns of OTC stocks," Journal of Financial Economics, Elsevier, vol. 115(3), pages 486-504.
    43. 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.
    44. Wai Mun Fong, 2014. "The MAX Effect," Palgrave Macmillan Books, in: The Lottery Mindset: Investors, Gambling and the Stock Market, chapter 7, pages 138-155, Palgrave Macmillan.
    45. 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.
    46. Frankel, Richard & Kothari, S.P. & Weber, Joseph, 2006. "Determinants of the informativeness of analyst research," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 29-54, April.
    47. repec:bla:jfinan:v:59:y:2004:i:3:p:1083-1124 is not listed on IDEAS
    48. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    49. Schrand, Catherine M. & Zechman, Sarah L.C., 2012. "Executive overconfidence and the slippery slope to financial misreporting," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 311-329.
    50. Daniel Dorn & Paul Sengmueller, 2009. "Trading as Entertainment?," Management Science, INFORMS, vol. 55(4), pages 591-603, April.
    51. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    52. Cornell, Brad & Landsman, Wayne R. & Stubben, Stephen R., 2017. "Accounting Information, Investor Sentiment, and Market Pricing," Journal of Law, Finance, and Accounting, now publishers, vol. 2(2), pages 325-345, November.
    53. Jungshik Hur & Cedric Mbanga Luma, 2017. "Aggregate idiosyncratic volatility, dynamic aspects of loss aversion, and narrow framing," Review of Quantitative Finance and Accounting, Springer, vol. 49(2), pages 407-433, August.
    54. 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.
    55. Malcolm Baker & Robin Greenwood & Jeffrey Wurgler, 2009. "Catering through Nominal Share Prices," Journal of Finance, American Finance Association, vol. 64(6), pages 2559-2590, December.
    56. 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.
    57. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    58. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    59. Yu, Fang (Frank), 2008. "Analyst coverage and earnings management," Journal of Financial Economics, Elsevier, vol. 88(2), pages 245-271, May.
    60. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    61. Chen, Yangyang & Podolski, Edward J. & Rhee, S. Ghon & Veeraraghavan, Madhu, 2014. "Local Gambling Preferences and Corporate Innovative Success," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(1), pages 77-106, February.
    62. Yezegel, Ari, 2015. "Why do analysts revise their stock recommendations after earnings announcements?," Journal of Accounting and Economics, Elsevier, vol. 59(2), pages 163-181.
    63. Jennifer L. Juergens & Laura Lindsey, 2009. "Getting Out Early: An Analysis of Market Making Activity at the Recommending Analyst's Firm," Journal of Finance, American Finance Association, vol. 64(5), pages 2327-2359, October.
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    3. 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).

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    More about this item

    Keywords

    Lottery-like stocks; Stock recommendations; Investor sentiment;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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