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Analyst coverage and the idiosyncratic skewness effect in the Taiwan stock market

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  • Lin, Mei-Chen

Abstract

In this study, we investigate the effect of analyst coverage on the idiosyncratic skewness (IS) anomaly. We adopt the ordinary least square method with the corresponding standard errors that are heteroskedasticity consistent and clustered by firm. Our results show that the IS anomaly exists in the Taiwanese stock market, and analyst coverage mitigates it. Moreover, we use one exogenous shock on analysts due to the mergers and closures of brokerages to address the endogenous concern, and to confirm that analyst coverage reduces the IS anomaly. Specifically, the buy and upgrade recommendations of analysts mitigate the negative IS spreads, but their sell and downgrade recommendations aggravate those spreads. Further, we use a quasi-natural experiment on short-sale constraints in the Taiwanese stock market and find that the effects of analysts' recommendations on the negative IS spreads are not subsumed by those constraints.

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  • 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).
    • Handle: RePEc:eee:finana:v:85:y:2023:i:c:s1057521922004100
    DOI: 10.1016/j.irfa.2022.102460
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    as
    1. François Derrien & Ambrus Kecskés, 2013. "The Real Effects of Financial Shocks: Evidence from Exogenous Changes in Analyst Coverage," Post-Print hal-00852356, HAL.
    2. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    3. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    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. 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.
    7. 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.
    8. Gu, Ming & Jiang, George J. & Xu, Bu, 2019. "The role of analysts: An examination of the idiosyncratic volatility anomaly in the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 237-254.
    9. Jennifer Conrad & Robert F. Dittmar & Eric Ghysels, 2013. "Ex Ante Skewness and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 68(1), pages 85-124, February.
    10. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    11. 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.
    12. Bali, Turan G. & Cakici, Nusret, 2008. "Idiosyncratic Volatility and the Cross Section of Expected Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(1), pages 29-58, March.
    13. Jegadeesh, Narasimhan & Kim, Woojin, 2006. "Value of analyst recommendations: International evidence," Journal of Financial Markets, Elsevier, vol. 9(3), pages 274-309, August.
    14. Bryan Kelly & Alexander Ljungqvist, 2012. "Testing Asymmetric-Information Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1366-1413.
    15. 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.
    16. Yao, Shouyu & Wang, Chunfeng & Cui, Xin & Fang, Zhenming, 2019. "Idiosyncratic skewness, gambling preference, and cross-section of stock returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 464-483.
    17. 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.
    18. Nicholas Barberis & Abhiroop Mukherjee & Baolian Wang, 2016. "Prospect Theory and Stock Returns: An Empirical Test," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3068-3107.
    19. 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.
    20. 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.
    21. 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.
    22. Harrison Hong & Marcin Kacperczyk, 2010. "Competition and Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1683-1725.
    23. 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.
    24. 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.
    25. Waqas Mehmood & Rasidah Mohd-Rashid & Ahmad Hakimi Tajuddin & Hassan Mujtaba Nawaz Saleem, 2021. "Shariah-compliance and IPO underpricing: evidence from Pakistan Stock Exchange," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 14(5), pages 1081-1098, July.
    26. Trigeorgis, Lenos & Lambertides, Neophytos, 2014. "The Role of Growth Options in Explaining Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 749-771, June.
    27. Bali, Turan G. & Del Viva, Luca & Lambertides, Neophytos & Trigeorgis, Lenos, 2020. "Growth Options and Related Stock Market Anomalies: Profitability, Distress, Lotteryness, and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(7), pages 2150-2180, November.
    28. 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.
    29. Cowen, Amanda & Groysberg, Boris & Healy, Paul, 2006. "Which types of analyst firms are more optimistic?," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 119-146, April.
    30. T. Clifton Green & Byoung-Hyoun Hwang, 2012. "Initial Public Offerings as Lotteries: Skewness Preference and First-Day Returns," Management Science, INFORMS, vol. 58(2), pages 432-444, February.
    31. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    32. Hao, Ying & Chu, Hsiang-Hui & Ho, Keng-Yu & Ko, Kuan-Cheng, 2016. "The 52-week high and momentum in the Taiwan stock market: Anchoring or recency biases?," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 121-138.
    33. Lin, Mei-Chen & Lin, Yu-Ling, 2021. "Idiosyncratic skewness and cross-section of stock returns: Evidence from Taiwan," International Review of Financial Analysis, Elsevier, vol. 77(C).
    34. 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.
    35. 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.
    36. Chan, Kalok & Hameed, Allaudeen, 2006. "Stock price synchronicity and analyst coverage in emerging markets," Journal of Financial Economics, Elsevier, vol. 80(1), pages 115-147, April.
    37. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    38. Veronesi, Pietro & Pástor, Luboš, 2003. "Stock Prices and IPO Waves," CEPR Discussion Papers 4002, C.E.P.R. Discussion Papers.
    39. 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.
    40. Xin Chang & Sudipto Dasgupta & Gilles Hilary, 2006. "Analyst Coverage and Financing Decisions," Journal of Finance, American Finance Association, vol. 61(6), pages 3009-3048, December.
    41. 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.
    42. Dorn, Daniel & Huberman, Gur, 2010. "Preferred risk habitat of individual investors," Journal of Financial Economics, Elsevier, vol. 97(1), pages 155-173, July.
    43. 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.
    44. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    45. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    46. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    47. Xu, Nianhang & Jiang, Xuanyu & Chan, Kam C. & Yi, Zhihong, 2013. "Analyst coverage, optimism, and stock price crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 217-239.
    48. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2004. "Do security analysts exhibit persistent differences in stock picking ability?," Journal of Financial Economics, Elsevier, vol. 74(1), pages 67-91, October.
    49. 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.
    50. 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.
    51. Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm‐specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1‐2), pages 49-82, January.
    52. Li, Keming, 2020. "Does Information Asymmetry Impede Market Efficiency? Evidence from Analyst Coverage," Journal of Banking & Finance, Elsevier, vol. 118(C).
    53. Paul Ryan & Richard J. Taffler, 2004. "Are Economically Significant Stock Returns and Trading Volumes Driven by Firm-specific News Releases?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1-2), pages 49-82.
    54. Pontiff, Jeffrey, 2006. "Costly arbitrage and the myth of idiosyncratic risk," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 35-52, October.
    55. Mashruwala, Christina & Rajgopal, Shivaram & Shevlin, Terry, 2006. "Why is the accrual anomaly not arbitraged away? The role of idiosyncratic risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 3-33, October.
    56. Lobo, Gerald J. & Song, Minsup & Stanford, Mary, 2012. "Accruals quality and analyst coverage," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 497-508.
    57. François Derrien & Ambrus Kecskés, 2013. "The Real Effects of Financial Shocks: Evidence from Exogenous Changes in Analyst Coverage," Journal of Finance, American Finance Association, vol. 68(4), pages 1407-1440, August.
    58. 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.
    59. Del Viva, Luca & Kasanen, Eero & Trigeorgis, Lenos, 2017. "Real Options, Idiosyncratic Skewness, and Diversification," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 215-241, February.
    60. Orie E. Barron & Mary Harris Stanford & Yong Yu, 2009. "Further Evidence on the Relation between Analysts' Forecast Dispersion and Stock Returns," Contemporary Accounting Research, John Wiley & Sons, vol. 26(2), pages 329-357, June.
    61. Todd Mitton & Keith Vorkink, 2007. "Equilibrium Underdiversification and the Preference for Skewness," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1255-1288.
    62. 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.
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    Keywords

    Idiosyncratic skewness; Analyst coverage; Recommendations; Revisions; Limits-to-arbitrage;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G4 - Financial Economics - - Behavioral Finance

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