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Optimization of Investment Decision Making by Using Analysts' Target Prices

애널리스트 목표가를 활용한 최적 투자의사결정 방안에 관한 연구

  • Cho, Su-Ji (School of Business Administration, Dankook University) ;
  • Kim, Heung-Kyu (School of Business Administration, Dankook University) ;
  • Lee, Ki-Kwang (School of Business Administration, Dankook University)
  • Received : 2020.10.29
  • Accepted : 2020.11.25
  • Published : 2020.12.31

Abstract

Investors aim to maximize the return rate for their own investment, utilizing various information as possible as they can access. However those investors, especially individual investors, have limitations of interpretation of the domain-specific information or even the acquisition of the information itself. Thus, individual investors tend to make decision affectively and frequently, which may cause a loss in returns. This study aims to analyze analysts' target price and to suggest the strategy that could maximize individual's return rate. Most previous literature revealed that the optimistic bias exists in the analysts' target price and it is also confirmed in this study. In this context, this study suggests the upper limit of target rate of returns and the optimal value named 'alpha(α)' which performs the adjustment of proposed target rate to maximize excess earning returns eventually. To achieve this goal, this study developed an optimization problem using linear programming. Specifically, when the analysts' proposed target rate exceeds 30%, it could be adjusted to the extent of 59% of its own target rate. As apply this strategy, the investors could achieve 1.2% of excess earning rate on average. The result of this study has significance in that the individual investors could utilize analysts' target price practically.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2019S1A5A2A03038389).

References

  1. Asquith, P., Mikhail, M.B., and Au, A.S., Information content of equity analyst reports, Journal of Financial Economics, 2005, Vol. 75, No. 2, pp. 245-282. https://doi.org/10.1016/j.jfineco.2004.01.002
  2. Bae, K.H., Yamada, T., and Ito, K., How do individual, institutional, and foreign investors win and lose in equity trades? Evidence from Japan, International Review of Finance, 2006, Vol. 6, No. 3-4, pp. 129-155. https://doi.org/10.1111/j.1468-2443.2007.00062.x
  3. Barber, B., Lehavy, R., McNichols, M., and Trueman, B., Can investors profit from the prophets? Security analyst recommendations and stock returns, The Journal of Finance, 2001, Vol. 56, No. 2, pp. 531-563. https://doi.org/10.1111/0022-1082.00336
  4. Barber, B.M. and Odean, T., Trading is hazardous to your wealth : The common stock investment performances of individual investors, Journal of Finance, 2000, Vol. 55, No. 2, pp. 773-806. https://doi.org/10.1111/0022-1082.00226
  5. Bonini, S., Zanetti, L., Bianchini, R., and Salvi, A., Target price accuracy in equity research, Journal of Business Finance & Accounting, 2010, Vol. 37, No. 9-10, pp. 1177-1217. https://doi.org/10.1111/j.1468-5957.2010.02209.x
  6. Bradshaw, M.T., Brown, L.D., and Huang, K., Do sell-side analysts exhibit differential target price forecasting ability?, Review of Accounting Studies, 2013, Vol. 18, No. 4, pp. 930-955. https://doi.org/10.1007/s11142-012-9216-5
  7. Chen, X., Cheng, Q., and Lo, K., On the relationship between analyst reports and corporate disclosures : Exploring the roles of information discovery and interpretation, Journal of Accounting and Economics, 2010, No. 49, Vol. 3, pp. 206-226. https://doi.org/10.1016/j.jacceco.2009.12.004
  8. Cohen, R.B., Asset allocation decisions of individuals and institutions, Division of Research, Harvard Business School, 2003.
  9. Cohen, R.B., Gompers, P.A., and Vuolteenaho, T., Who underreacts to cash-flow news- Evidence from trading between individuals and institutions, Journal of finan? cial Economics, 2002, Vol. 66, No. 2, pp. 409-462. https://doi.org/10.1016/S0304-405X(02)00229-5
  10. Huang, A.H., Lehavy, R., Zang, A.Y., and Zheng, R., Analyst information discovery and interpretation roles : A topic modeling approach, Management Science, 2018, Vol. 64, No. 6, pp. 2833-2855. https://doi.org/10.1287/mnsc.2017.2751
  11. Ivkovic, Z. and Jegadeesh, N., The timing and value of forecast and recommendation revisions, Journal of Financial Economics, 2004, Vol. 73, No. 3, pp. 433-463. https://doi.org/10.1016/j.jfineco.2004.03.002
  12. Kim, J.W. and Kho, B.C., Earnings Forecast Accuracy and Recommendation Profitability of the Analysts in Korea, The Journal of Korean Securities Association, 2007, Vol. 36, No. 6, pp. 1009-1047.
  13. Korea Financial Investment Association, Financial Investor's Survey Report on Investment Status in 2012, 2013.
  14. Li, W.Y., Shin, H.H., and Chang., J.H., A study on Analysts' Conflict of Interests, Korean Accounting Review, 2005, Vol. 30, No. 3, pp. 173-195.
  15. Lin, H.W. and McNichols, M.F., Underwriting relationships, analysts' earnings forecasts and investment recommendations, Journal of Accounting and Economics, 1998, Vol. 25, No. 1, pp. 101-127. https://doi.org/10.1016/S0165-4101(98)00016-0
  16. Odean, T., Are investors reluctant to realize their losses?, Journal of Finance, 1998, Vol. 53, No. 5, pp. 1775-1798. https://doi.org/10.1111/0022-1082.00072
  17. Park, K.J., Simulation Optimization of Manufacturing System using Real-coded Genetic Algorithm, Journal of Society of Korea Industrial and Systems Engineering, 2005, Vol. 28, No. 3, pp. 149-155.
  18. Yu, J.D. and Lee, I.S., A Prediction of Stock Price Through the Big-data Analysis, Journal of Society of Korea Industrial and Systems Engineering, 2018, Vol. 31, No. 3, pp. 154-161.