Impact of Behavioural Biases on Investment Performance: A Comparative Analysis of Investors from India, USA and UK

Jump To References Section

Authors

  • Professor, Department of Commerce, Delhi School of Economics, University of Delhi, New Delhi – 110007, Delhi ,IN
  • Assistant Professor, Delhi School of Management, Delhi Technological University, New Delhi – 110042, Delhi ,IN

DOI:

https://doi.org/10.18311/jbt/2023/33584

Keywords:

Behavioural Biases, Financial Literacy, Investment Performance-India, UK, USA

JEL Classification: G4, G5, D14

Abstract

This study presents evidence towards the existence of behavioural biases while analysing the impact of such biases on the investors’ investment performance in India, the USA, and the UK. Further, the study aims to investigate the moderating role of financial literacy on the relationship between behavioural biases and investment performance. It reveals that behavioural biases like affect heuristic, herding and status quo positively impact the investors’ investment performance amongst Indian investors whereas loss aversion, overconfidence, availability, and representativeness biases positively impact the investors’ investment performance amongst UK investors; and affect heuristic bias amongst USA investors. The findings divulge the negative impact of anchoring bias and mental accounting amongst Indian investors; availability bias, disposition effect, and overconfidence bias amongst USA investors; and affect heuristic and herding amongst UK investors. The study finds that a few of the behavioural biases impact investment performance positively, though less often. Hence investors should be cautious as these biases generally lead to irrational decision-making and might adversely influence the investors’ investment performance in the long run. The study further concludes that financial literacy significantly moderates the relationship between anchoring bias and individuals’ investment performance in India and affect heuristic in the USA. Interestingly, in the UK scenario, no significant moderating impact of financial literacy was found between any of the behavioral biases and investment performance.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2023-12-08

How to Cite

Kanojia, S., & Malhotra, D. (2023). Impact of Behavioural Biases on Investment Performance: A Comparative Analysis of Investors from India, USA and UK. Journal of Business Thought, 14, 13–33. https://doi.org/10.18311/jbt/2023/33584

Issue

Section

Articles
Received 2023-04-24
Accepted 2023-08-22
Published 2023-12-08

 

References

Tversky A, Kahneman D. Judgment under Uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science. 1974; 185(4157):1124-1131. https://doi.org/10.1126/science.185.4157.1124 DOI: https://doi.org/10.1126/science.185.4157.1124

Zaiane S. Behavioral biases of individual investors: the effect of anchoring. Eurasian Journal of Social Sciences. 2015; 3(1):13-19. https://doi.org/10.15604/ejss.2015.03.01.002 DOI: https://doi.org/10.15604/ejss.2015.03.01.002

Kahneman D, Tversky A. On the psychology of prediction. Psychological Review. 1973; 80(4):237. https://doi.org/10.1037/h0034747 DOI: https://doi.org/10.1037/h0034747

Kamesaka A, Nofsinger JR, Kawakita H. Investment patterns and performance of investor groups in Japan. Pacific-Basin Finance Journal. 2003; 11(1):1-22. https://doi.org/10.1016/S0927-538X(02)00095-1 DOI: https://doi.org/10.1016/S0927-538X(02)00095-1

Fischhoff B, Slovic P, Lichtenstein S, Read S, Combs B. How safe is safe enough? A psychometric study of attitudes toward technological risks and benefits. In The Perception of Risk. Routledge; 2016. p. 118-141 https://doi.org/10.1007/BF00143739 DOI: https://doi.org/10.1007/BF00143739

Keller C, Siegrist M, Gutscher H. The role of the affect and availability heuristics in risk communication. Risk Analysis. 2006; 26(3):631-639. https://doi.org/10.1111/j.1539-6924.2006.00773.x DOI: https://doi.org/10.1111/j.1539-6924.2006.00773.x

Shefrin H, Statman M. The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance. 1985; 40(3):777-790. https://doi.org/10.1111/j.1540-6261.1985.tb05002.x DOI: https://doi.org/10.1111/j.1540-6261.1985.tb05002.x

Odean T. Volume, volatility, price, and profit when all traders are above average. The Journal of Finance. 1998; 53(6):1887-1934. https://doi.org/10.1111/0022-1082.00078 DOI: https://doi.org/10.1111/0022-1082.00078

Christie WG, Huang RD. Following the pied piper: do individual returns herd around the market? Financial Analysts Journal. 1995; 51(4):31-37. https://doi.org/10.2469/faj.v51.n4.1918 DOI: https://doi.org/10.2469/faj.v51.n4.1918

Chiang TC, Zheng D. An empirical analysis of herd behavior in global stock markets. Journal of Banking and Finance. 2010; 34(8):1911-1921. https://doi.org/10.1016/j.jbankfin.2009.12.014 DOI: https://doi.org/10.1016/j.jbankfin.2009.12.014

Barberis N, Huang M. Mental accounting, loss aversion, and individual stock returns. The Journal of Finance. 2001; 56(4):1247-1292. https://doi.org/10.1111/0022-1082.00367 DOI: https://doi.org/10.1111/0022-1082.00367

Statman M, Thorley S, Vorkink K. Investor overconfidence and trading volume. The Review of Financial Studies. 2006; 19(4):1531-1565. https://doi.org/10.1093/rfs/hhj032 DOI: https://doi.org/10.1093/rfs/hhj032

Kahneman DA, Tversky A. Prospect theory: An analysis of decision under risk. Econometrica. 1979; 47(2):363-391. https://doi.org/10.1142/9789814417358_0006 DOI: https://doi.org/10.2307/1914185

Baker HK, Nofsinger JR. Psychological biases of investors. Financial Services Review. 2002; 11(2):97-116. Available at: https://scholar.google.com/scholar?hl=enandas_sdt=0%2C5&q=Baker+HK%2C+Nofsinger+JR.+Psychological+biases+of+investors.+Financial+services+review.&btnG=

Samuelson W, Zeckhauser R. Status quo bias in decision making. Journal of Risk and Uncertainty. 1988; 1:7-59. https://doi.org/10.1007/BF00055564 DOI: https://doi.org/10.1007/BF00055564

Anderson A, Henker J, Owen S. Limit order trading behavior and individual investor performance. The Journal of Behavioral Finance. 2005; 6(2):71-89. https://doi.org/10.1207/s15427579jpfm0602_3 DOI: https://doi.org/10.1207/s15427579jpfm0602_3

ul Abdin SZ, Qureshi F, Iqbal J, Sultana S. Overconfidence bias and investment performance: A mediating effect of risk propensity. Borsa Istanbul Review. 2022; 22(4):780-793. https://doi.org/10.1016/j.bir.2022.03.001 DOI: https://doi.org/10.1016/j.bir.2022.03.001

Waweru NM, Munyoki E, Uliana E. The effects of behavioural factors in investment decision-making: a survey of institutional investors operating at the Nairobi Stock Exchange. International Journal of Business and Emerging Markets. 2008; 1(1):24-41. https://doi.org/10.1504/IJBEM.2008.019243 DOI: https://doi.org/10.1504/IJBEM.2008.019243

Kengatharan L, Kengatharan N. The influence of behavioral factors in making investment decisions and performance: Study on investors of Colombo Stock Exchange, Sri Lanka. Asian Journal of Finance and Accounting. 2014; 6(1):1. https://doi.org/10.5296/ajfa.v6i1.4893 DOI: https://doi.org/10.5296/ajfa.v6i1.4893

Ranjbar MH, Abedini B, Jamali M. Analyzing the effective behavioral factors on the investors’ performance in Tehran Stock Exchange (TSE). International Journal of Technical Research and Applications. 2014; 2(8):2320-8163. Available at: file:///C:/Users/Dell/Downloads/Analyzingtheeffectivebehavioralfactors ontheinvestorsperformanceinTehranSE%20(1).pdf

Laryea E, Owusu S. The impact of anchoring bias on investment decision-making: Evidence from Ghana, Review of Behavioral Finance. 2023; 15(5):729-749, https://doi.org/10.1108/RBF-09-2020-0223 DOI: https://doi.org/10.1108/RBF-09-2020-0223

Das AR, Panja S. An empirical investigation on the influence of behavioural factors on investment decision making. Vision. 2022. https://doi.org/10.1177/09722629221131101 DOI: https://doi.org/10.1177/09722629221131101

Yousaf I, Alokla J. Herding behaviour in the Islamic bank market: evidence, from the Gulf region. Review of Behavioral Finance. 2023; 15(5):617-633. https://doi.org/10.1108/RBF-02-2021-0018 DOI: https://doi.org/10.1108/RBF-02-2021-0018

Finkelstein SC, Greenwald J. Smarter investing: How to benefit from the science of behavioral finance. Northwest Dentistry. 2009; 88(3):48-49.

Schwab C, Iannicola D, Beck T, Hira T, Bryant JH, Parker J, et al. President’s advisory council on financial literacy. Annual Report to the President. The department of the treasury Washington, DC; 2008. Available at: https://financialliteracygroup.com/wp-content/uploads/2015/02/presidents-advisory-council-on-financial-literacy.pdf

Ateş S, Coşkun A, Şahin MA, Demircan ML. Impact of financial literacy on the behavioral biases of individual stock investors: Evidence from Borsa Istanbul. Business and Economics Research Journal. 2016; 7(3). https://doi.org/10.20409/berj.2016321805 DOI: https://doi.org/10.20409/berj.2016321805

Takeda K, Takemura T, Kozu T. Investment literacy and individual investor biases: Survey evidence in the Japanese stock market. The Review of Socionetwork Strategies. 2013; 7:31-42. https://doi.org/10.1007/s12626-012-0031-z DOI: https://doi.org/10.1007/s12626-012-0031-z

Lebdaoui H, Chetioui Y, Guechi E. The impact of behavioral biases on investment performance: Does financial literacy matter. International Journal of Economics and Financial Issues. 2021; 11(3):13-21. https://doi.org/10.32479/ijefi.11318 DOI: https://doi.org/10.32479/ijefi.11318

Mandell L, Klein LS. The impact of financial literacy education on subsequent financial behavior. Journal of Financial Counseling and Planning. 2009; 20(1). Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2224231

Clark R, Lusardi A, Mitchell OS. Financial knowledge and 401 (k) investment performance: A case study. Journal of Pension Economics and Finance. 2017; 16(3):324-347. https://doi.org/10.1017/S1474747215000384 DOI: https://doi.org/10.1017/S1474747215000384

Dogra P, Kaushal A, Sharma RR. Antecedents of the Youngster’s awareness about financial literacy: A structure equation modelling approach. Vision. 2021. https://doi.org/10.1177/0972262921996560 DOI: https://doi.org/10.1177/0972262921996560

Hoyle RH. Structural equation modeling: Concepts, Issues, and Applications. Sage; 1995.

Dash SR, Maitra D. The COVID-19 pandemic uncertainty, investor sentiment, and global equity markets: Evidence from the time-frequency co-movements. The North American Journal of Economics and Finance. 2022; 62. https://doi.org/10.1016/j.najef.2022.101712 DOI: https://doi.org/10.1016/j.najef.2022.101712

Le Luong P, Thi Thu Ha D. Behavioral factors influencing individual investors decision-making and performance.: A survey at the Ho Chi Minh Stock Exchange. Available at https://www.diva-portal.org/smash/get/diva2:423263/FULLTEXT02.pdf

Menike LM, Dunusinghe P, Ranasinghe A. Behavioural factors influence on investment performance: a survey of individual investors at Colombo Stock Exchange. In Proceedings of 10th Annual London Business Research Conference 2015 Aug (Vol. 579, p. 585). Available at: https://www.semanticscholar.org/paper/Behavioural-Factors-Influence-on-Investment-%3A-A-of-Menike-Dunusinghe/edd9773a52a66c5ae71c7271466b564ac53f49ed

Shah SZ, Ahmad M, Mahmood F. Heuristic biases in investment decision-making and perceived market efficiency: A survey at the Pakistan stock exchange. Qualitative Research in Financial Markets. 2018. https://doi.org/10.1108/QRFM-04-2017-0033 DOI: https://doi.org/10.1108/QRFM-04-2017-0033

Quddoos MU, Rafique A, Kalim U, Sheikh MR. Impact of behavioral biases on investment performance in Pakistan: The moderating role of financial literacy. Journal of Accounting and Finance in Emerging Economies. 2020; 6(4):1199-1205. https://doi.org/10.26710/jafee.v6i4.1512 DOI: https://doi.org/10.26710/jafee.v6i4.1512

Adil M, Singh Y, Ansari MS. How financial literacy moderate the association between behaviour biases and investment decision?. Asian Journal of Accounting Research. 2022; 7(1):17-30. https://doi.org/10.1108/AJAR-09-2020-0086 DOI: https://doi.org/10.1108/AJAR-09-2020-0086