Stock Return Synchronicity and Analysts’ Forecast Properties

https://doi.org/10.22146/gamaijb.16941

Joong-Seok Cho(1*), Hyung Ju Park(2), Ji-Hye Park(3)

(1) School of Business Administration, Hanyang University, Korea
(2) School of Business Administration, Hanyang University, Korea
(3) School of Business Administration, Hanyang University, Korea
(*) Corresponding Author

Abstract


Using stock return synchronicity as a measure of a firm’s information environment, our research investigates how the firms’ stock return synchronicity affects analysts’ forecast properties for the accuracy and optimism of the analysts’ annual earnings forecasts. Stock return synchronicity represents the degree to which market and industry information explains firm-level stock return variations. A higher stock return synchronicity indicates the higher quality of a firm’s information environment, because a firm’s stock price reflects more market-level and industry-level information relative to firm-specific information. Our study shows that stock return synchronicity positively affects the forecast properties. Our finding shows that when stock return synchronicity is high, analysts’ annual earnings forecasts are more accurate and less optimistically biased.

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References

Abarbanell, J. S., and V. L. Bernard. 1992. Tests of analysts’ overreaction/underreaction to earnings information as an explanation for anomalous stock price behavior. The Journal of Finance 47 (3): 1181–1207.

Abarbanell, J. S., and B. J. Bushee. 1997. Fundamental analysis, future earnings, and stock prices. Journal of Accounting Research 35: 1–24.

Bamber, L. S., O. E. Barron, and L. S. Thomas. 1997. Trading volume and different aspects of disagreement coincident with earnings announcements. The Accounting Review 72 (4): 575–597.

Barberis, N., A. Shleifer, and J. Wurgler. 2005. Comovement. Journal of Financial Economics 75(2): 283–317.

Brown, L. D. 2001. A temporal analysis of earnings surprises: Profits versus losses. Journal of Accounting Research 39 (2): 221–241.

Bradshaw M. T., S. Richardson, and R. Sloan. 2001. Do analysts and auditors use information in accruals? Journal of Accounting Research 39: 45–74.

Byard, D., Y. Li, and J. Weintrop. 2006. Corporate governance and the quality of financial analysts’ information. Journal of Accounting and Public Policy 25 (5): 609–625.

Chan, K., and A. Hameed. 2006. Stock price synchronicity and analyst coverage in emerging markets. Journal of Financial Economics 80 (1): 115–147.

Chen, Q., I. Goldstein, and W. Jiang. 2007. Price informativeness and investment sensitivity to stock price. Review of Financial Studies 20 (3): 619–650.

Cho, J. and J. Park. 2015. Earnings volatility and firm-specific return variation. Working Paper. Hanyang University, Seoul, Korea.

Clement, M. B. 1999. Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter? Journal of Accounting and Economics 27 (3): 285–303.

Das, S., C. Levine, and K. Sivaramakrishnan. 1998. Predictability and Bias in Analysts? Earnings Forecasts. The Accounting Review, 73(2): 277–294.

Dasgupta, S., Gan, J., and N. Gao. 2010. Transparency, price informativeness, and stock return synchronicity: Theory and evidence. Journal of Financial and Quantitative Analysis 45 (5): 1189–1220

Durnev, A., R. Morck, B. Yeung, and P. Zarowin. 2003. Journal of Accounting Research 41 (5): 797–836.

Duru, A. and D. M. Reeb. 2002. International Diversification and Analysts’ Forecast Accuracy and Bias. The Accounting Review 77 (2): 415–433.

Gow, I., G. Ormazabal, and D. Taylor. 2010. Correcting for cross-sectional and time-series dependence in accounting research. The Accounting Review 85: 483–512.

Gu, Z., J. S. Wu. 2003. Earnings skewness and analyst forecast bias. Journal of Accounting and Economics 35 (1): 5–29.

Harrison H., and J. D. Kubik. 2003. Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts. The Journal of Finance 58 (1): 313–351.

Hutton, A.P., A. J. Marcus, and H. Tehranian. 2009. Opaque financial reports, R2, and crash risk. Journal of Financial Economics 94: 67–86.

Kelly, P. J. 2014. Information efficiency and firm-specific return variation. The Quarterly Journal of Finance 4 (04): 1450018-1–1450018-44.

Lang, M. H., and R. J. Lundholm. 1996. Corporate disclosure policy and analyst behavior. The Accounting Review 71 (4): 467–492.

Lim, T. 2001. Rationality and analysts’ forecast bias. The journal of Finance 56 (1): 369–385.

Lys, T., and L. Soo. 1995. Analysts’ forecast precision as a response to competition. Journal of Accounting, Auditing, and Finance 10 (Fall): 751–763.

Mikhail. M. B., B. R. Walther, and H. W. Richard. 1997. Do security analysts improve their performance with experience? Journal of Accounting Research 35: 131–157.

Morck, R., B. Yeung, and W. Yu. 2000. The information content of stock markets: Why do emerging markets have synchronous stock price movements? Journal of Financial Economics 58: 215–260.

Piotroski, J. D., and D. T. Roulstone. 2004. The influence of analysts, institutional investors and insiders on the incorporation of market, industry and firm-specific information into stock prices. The Accounting Review 79: 1119–1151.

Roll, R. 1988. R2. Journal of Finance 43: 541–566.

Sinha, P., L. Brown, and S. Das. 1997. A re-examination of financial analysts’ differential earnings forecast accuracy. Contemporary Accounting Research 14: 1–42.

Stober, T. L. 1992. Summary financial statement measures and analyst forecast of earnings. Journal of Accounting and Economics 15: 347–372.

Weber, D. P. 2009. Do Analysts and Investors Fully Appreciate the Implications of Book Tax Differences for Future Earnings? Contemporary Accounting Research 26 (4): 1175–1206.



DOI: https://doi.org/10.22146/gamaijb.16941

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