Can Investors Depend only on Accounting Information in Investment Decision-Making?

Authors

  • Imtiaz Badshah Associate Professor, Faculty of Business, Languages and Social Sciences, Østfold University College Norway Author
  • Muhammad Ibrahim Khan A ssistant Professor, Institute of Business and Leadership Studies, Abdul Wali Khan University Mardan, Pakistan Author
  • Amira Khattak Assistant Professor, College of Business Administration, Prince Sultan University, Riyadh, Saudi Arabia Author
  • Zunaira Jalil NUST Business School, National University of Sciences and Technology, Islamabad, Pakistan Author
  • Seema Gul Assistant Professor, College of Business Administration, Prince Sultan University, Riyadh, Saudi Arabia Author

DOI:

https://doi.org/10.61841/5xp7hb32

Keywords:

Behaviour, investment, decision, heuristics, herding, stock market

Abstract

The purpose of this paper is to understand and analyse the investor’s behaviour in investment decision-making in relation to factors other than quantitative ratios. This study is therefore the first of its kind to adopt qualitative method such as an interview guide for collecting data on behavioural factors that may affect the investor’s investment decision-making. In total eight detailed interviews were conducted, five with individual and three with institutional investors in Pakistan. Behavioural factors affecting investors’ investment decision-making were identified as heuristic biases (such as representativeness, availability, anchoring and overconfidence) and herding behaviour, with the main focus on the former. This research affirmed the presence of heuristic biases and a herding approach among Pakistani investors in relation to investment-related decisions. Interestingly, all four types of heuristic behaviour – representativeness, anchoring, overconfidence and availability bias – are reported among Pakistani investors based on their responses to the questions.

 

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References

1. Baltussen, G. and Post, G.T. (2011), “Irrational diversification: an examination of individual portfolio choice”, Journal of Financial and Quantitative Analysis, Vol. 46 No. 5, pp. 1463-1491

2. Barberis, N. and Huang, M. (2001). Mental Accounting, Loss Aversion, and Individual Stock Returns. The Journal of Finance. 56 (4), 1247-1292

3. Barberis, N., Thaler, R. (2003). A survey of behavioral finance. In: Constantinides, G., Harris, M., Stulz, R. (Eds.), Handbook of the Economics of Finance. NorthHolland, Amsterdam..

4. Benjamin J., D., Choi, J. J., Fisher, G. (2013), “Religious identity and economic behavior.” JEL classification: C91,C92, Z12.

5. Bernhardt, D., M. Campello, and E. Kusoati. “Who Herds?” Journal of Financial Economics, 80(3), (2006),

pp. 657–675

6. Duxbury, D. (2015). Behavioral finance: insights from experiments I: theory and financial markets. Review of Behavioral Finance, Vol. 7 Iss 1 pp. 78 - 96 , 78-96.

7. Filbeck, G., Hatfield, P. and Horvath, P. (2005). Risk aversion and personality type. Journal of Behavioral Finance, 6 (4), 170–180.

8. Frydman, C. and Camerer, C. (2015), “Neural evidence of regret and its implications for investor behavior”, available at: http://ssrn.com/abstract¼2600287; http://dx.doi.org/10.2139/ ssrn.260028Z7 (accessed April 28, 2015).

9. Gigerenzer, G. and W. Gaissmaier. “Heuristic Decision Making.” The Annual Review of Psychology, 62, (2011), pp. 451–482.

10. Huberman, G. and Jiang, W. (2006), “Offering versus choice in 401 (k) plans: equity exposure and number of funds”, The Journal of Finance, Vol. 61 No. 2, pp. 763-801.

11. Jegadeesh, N. and Kim. W. “Do Analysts Herd? An Analysis of Recommendations and Market Reactions.” Review of Financial Studies, 23(2), (2010), pp. 901–937.

12. Kahneman, D. and Tversky, A. (1974). Judgment under Uncertainty: Heuristics and Biases, Science, 85 (4157), 1124-1131

13. Kahneman, D. and Tversky, A. (1974). Judgment under Uncertainty: Heuristics and Biases, Science, 85 (4157), 1124-1131

14. Kim, M. S. and F. Zapatero. “Rational Bias and Herding in Analysts’ Recommendations.” Working Paper, University of Southern California-Marshall School of Business (2009).

15. Kim, K. and Nofsinger, J. (2003). The Behavior and Performance of Individual Investors in Japan.

<http://www.acsu.buffalo.edu/~kk52/Japanese%20Individual%20Paper.pdf>, [Retrieved 2011-04-01].

16. König F.(2016) Analyst Behavior: The Geography of Social Interaction, Journal of Behavioral Finance, 17:3, 201-216, DOI: 10.1080/15427560.2016.1171223

17. Odean, T. (1998a). Volume, volatility, price and profit when all trades are above average. Journal of Finance, 53 (6), 1887–1934

18. Otuteye, E. & Siddiquee M., (2015) Overcoming Cognitive Biases: A Heuristic for Making Value Investing Decisions, Journal of Behavioral Finance, 16:2, 140-149, DOI: 10.1080/15427560.2015.103485

19. Reis, H. T., M. R. Maniaci, P. A. Caprariello, P. W. Eastwick, and E. J. Finkel. “Familiarity Does Indeed Promote Attraction in Live Interaction.” Journal of Personality and Social Psychology, 101(3), (2011), pp. 557–570.

20. Ritter, J. R. (2003). Behavioral Finance. Pacific-Basin Finance Journal, 11 (4), 429-437

21. Spyrou, S. (2013), “Herding in financial markets: a review of the literature”, Review of Behavioral Finance, Vol. 5 No. 2, pp. 175-194.

22. Tan, L., Chiang, T. C., Mason, J. R. and Nelling, E. (2008). Herding behavior in Chinese stock markets: An examination of A and B shares. Pacific-Basin Finance Journal , 16 (1-2), 61–77.

23. Waweru, N., M., Munyoki, E., and Uliana, E. (2008). The effects of behavioral factors in investment decision-making: a survey of institutional investors operating at the Nairobi Exchange. International Journal of Business and Emerging Markets, 1 (1), 24-41.

24. Weber, M., 1930. The Protestant Ethic and the Spirit of Capitalism. London: Allen and Unwin.

25. Yates, J.F., Lee, J., Bush, J.G., 1997. General knowledge overconfidence: cross-national variations, response style, and “reality”. Organizational Behavior and Human Decision Processes, 70 (2), 87–94.

26. Zitzewitz, E. “Measuring Herding and Exaggeration by Equity Analysts and Other Opinion Sellers.” Working Paper 1802, Stanford University (2001).

27. Neugebauer, T. (2008), “Individual choice from a convex lottery set: experimental evidence”, in Abdellaoui, M. and Hey, J.D. (Eds), Advances in Decision Making Under Risk and Uncertainty , Springer, Berlin and Heidelberg, pp. 121-135.

28. Yasar, Mustafa, and . 2019. The remember regeneration therapy method: An overview of new therapy protocol to approach diseases. Journal of Complementary Medicine Research, 10 (1), 68-

80. doi:10.5455/jcmr.20181229122909

29. Patra, S., Kharge, J., Bharatha, A., Raghu, R.T., Manjunath, C.N.A patient with rheumatic heart disease presented with central cyanosis due to acquired methemoglobinemia during late pregnancy - A rare association(2013) Journal of Cardiovascular Disease Research, 4 (2), pp. 147-148. DOI: 10.1016/j.jcdr.2012.10.003

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Published

31.10.2020

How to Cite

Badshah, I., Khan, M. I., Khattak, A., Jalil, Z., & Gul, S. (2020). Can Investors Depend only on Accounting Information in Investment Decision-Making?. International Journal of Psychosocial Rehabilitation, 24(8), 2150-2163. https://doi.org/10.61841/5xp7hb32