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 JFRM  Vol.10 No.1 , March 2021
Do Sell-Side Security Analysts Act as Prophets?
Abstract: The investment banks, brokerage houses, and pension funds spend large amounts of capital to hire security analysts to predict earnings, stock recommendations, and target prices for their customers and public investors. These observations raise a compelling empirical motivation for the researcher to investigate Do Sell-Side Security Analysts (SSSA) can forecast earnings, stock recommendations, target prices, and particularly consensus prices (average target prices) accurately. The population of the study includes public listed companies in Colombo Stock Exchange which are of interest to the SSSA in their equity research studies but all the listed companies cannot be considered as the population since there are companies that haven't used in the stock market research or equity research studies of the brokering firms. The number of companies qualifying for the study is based on the sample selection criteria to limit the analysis to a realistic level. There are 22 listed companies, qualified for the study from 2012 to 2018. In calculating monthly stock returns, the researcher assumes that any form of declaration of remittances such as dividends, bonus issues, stock splits, and right issues encourage investors to purchase the stock and it causes the price of a stock to increase. In general, the increase is about equal to the amount of the benefit, however, the actual price change is based on market activity. Finally, the results of hypothesis testing through multiple regression models discuss to achieve the research objectives. The findings of the study have important implications for diverse users to formulate their future policy decisions for the development of the stock market and the economy. The investigation reveals that there is a statistically significant positive relationship between Rit and RCP.
Cite this paper: Rathnasingha, D. L. P. M., & Weerasinghe, N. (2021) Do Sell-Side Security Analysts Act as Prophets?. Journal of Financial Risk Management, 10, 25-39. doi: 10.4236/jfrm.2021.101002.
References

[1]   Abeysekera, A. P., & Nimal, P. D. (2016). The Impact of the Financial Sector on Assets Pricing Tests: Evidence from the Colombo Stock Exchange. Asian Journal of Finance and Accounting, 8, 249-261.
https://doi.org/10.5296/ajfa.v8i2.10056

[2]   Abeysekera, A. P., & Nimal, P. D. (2017). The Four-Factor Model and Stock Returns: Evidence from Sri Lanka. Afro-Asian Journal of Finance and Accounting, 7, 1-15.
https://doi.org/10.1504/AAJFA.2017.082924

[3]   Antônio, R. M., Ambrozini, L. C. S., Gatsions, R. C., & Magnani, V. M. (2017). Analysts’ Consensus and Target Price Accuracy. Brazilian Administration Review, 14, e170036.
https://doi.org/10.1590/1807-7692bar2017170036

[4]   Asquith, P., Mikhail, B., & Au, A. S. (2005). Information Content of Equity Analysts Reports. Journal of Financial Economics, 75, 245-282.
https://doi.org/10.1016/j.jfineco.2004.01.002

[5]   Barber, B., Lehavy, R., McNichols, M., & Trueman, B. (2001). Can Investors Profit from the Prophets? Security Analysts Recommendations and Stock Returns. The Journal of Finance, 56, 531-563.
https://doi.org/10.1111/0022-1082.00336

[6]   Barber, B., Lehavy, R., McNichols, M., & Trueman, B. (2003). Reassessing the Returns to Analysts’ Stock Recommendations. The Financial Analysts Journal, 59, 88-96.
https://doi.org/10.2469/faj.v59.n2.2517

[7]   Brav, A., & Lehavy, R. (2003). An Empirical Analysis of Analysts’ Target Prices: Short-Term Informativeness and Long-Term Dynamics. Journal of Finance, 58, 1933-1967.
https://doi.org/10.1111/1540-6261.00593

[8]   Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25, 383-417.
https://doi.org/10.2307/2325486

[9]   Fama, E. F. (1991). Efficient Capital Markets: II. Journal of Finance, 96, 1575-1617.
https://doi.org/10.1111/j.1540-6261.1991.tb04636.x

[10]   Fama, E. F. (1998). Market Efficiency, Long-Term Returns, and Behavioral Finance. Journal of Financial Economics, 49, 283-306.
https://doi.org/10.1016/S0304-405X(98)00026-9

[11]   Fama, E. F., & French, K. R. (2015). A Five-Factor Asset Pricing Model. Journal of Financial Economics, 116, 1-22.
https://doi.org/10.1016/j.jfineco.2014.10.010

[12]   Haddock, D. D., & Macey, J. R. (1987). Regulation on Demand: A Private Interest Model, with an Application to Insider Trading Regulation. Journal of Law and Economics, 30, 311.
https://doi.org/10.1086/467139

[13]   Jagadeesh, N., Kim, J., Krische, S. D., & Lee, C. M. C. (2001). Analyzing the Analysts: When do Recommendations Add Value? Journal of Finance, 59, 1083-1124.
https://doi.org/10.1111/j.1540-6261.2004.00657.x

[14]   Kongahawatte, S. D. L., & Nimal, P. D. (2015). Impact of Macroeconomic Variables on Size and Book to Market Effects in Stock Returns: Evidence from Sri Lanka. Proceedings of the 12th International Conference on Business Management.
https://doi.org/10.2139/ssrn.2699692

[15]   Kothari, S.P. & Warner, B. J. (2007). Ch. 1-Econometrics of Event Studies. Handbook of Corporate Finance: Empirical Corporate Finance, 1, 3-36.

[16]   Lehavy, R., Li, F., & Merkley, K. (2011). The Effect of Annual Report Readability on Analyst Following and the Properties of Their Earnings Forecasts. The Accounting Review, 86, 1087-1115.
https://doi.org/10.2308/accr.00000043

[17]   McNichols, M. (1989). Evidence of Informational Asymmetries from Management Earnings Forecasts and Stock Returns. The Accounting Review, 64, 1-27.

[18]   McNichols, M., & O’Brien, P. C. (1997). Self-Selection and Analyst Coverage. Journal of Accounting Research, 35, 167-199.
https://doi.org/10.2307/2491460

[19]   Müller-Bloch, C., & Kranz, J. (2014). A framework for Rigorously Identifying Research Gaps in Qualitative Literature Reviews. Proceedings of the 36th International Conference on Information Systems, Fort Worth, 1-19.

[20]   Nasdaq (2018). Glossary of Stock Market Terms.
https://www.nasdaq.com/glossary/c/consensus-forecast

[21]   Nimal, P. D. (2006). The Conditional Relation between Beta and Returns: Evidence from Japan. The Hikone Ronso, 357, 195-214.

[22]   Osei, K. A. (1998). Analysis of Factors Affecting the Development of an Emerging Capital Market: The Case of the Ghana Stock Market. African Economic Research Consortium, Nairobi, March 1998, AERC Research Paper 76.

[23]   Potocki, T., & Swist, T. (2012). Empirical Test of the Strong Form Efficiency of the Warsaw Stock Exchange: The Analysis of WIG 20 Index Share. South-Eastern Europe Journal of Economics, 2, 155-172.

[24]   Rees, L., Sharp, N. Y., & Wong P. A. (2017). Working on the Weekend: Do Analysts Strategically Time the Release of Their Recommendation Revisions? Journal of Corporate Finance, 45, 104-121.
https://doi.org/10.1016/j.jcorpfin.2017.04.010

[25]   Sekaran, U. (2006). Research Methods for Business Students: A Skill Building Approach. John Wiley & Sons.

[26]   Stickel, S. E. (1995). The Anatomy of the Performance of Buy and Sell Recommendations. Financial Analysts Journal, 51, 25-39.
https://doi.org/10.2469/faj.v51.n5.1933

[27]   Womack, K. L. (1996). Do Brokerage Analysts’ Recommendations Have Investment Value? The Journal of Finance, 51, 137-167.
https://doi.org/10.1111/j.1540-6261.1996.tb05205.x

 
 
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