Do Personality and Demographic Variances of Individual Investors Challenge the Assumption of Rationality? A Two-Staged Regression Modeling-Artificial Neural Network Approach

Authors

  •   Arfat Manzoor Ph.D. Research Scholar, University of Kashmir, Srinagar - 190 006, Jammu & Kashmir
  •   Andleebah Jan Ph.D. Research Scholar, University of Kashmir, Srinagar - 190 006, Jammu & Kashmir
  •   Mohammad Shafi Professor, Islamic University of Science and Technology, Awantipora, Pulwama - 192 122, Jammu & Kashmir

DOI:

https://doi.org/10.17010/ijf/2023/v17i10/168549

Keywords:

neuroticism

, conscientiousness, demography, investment decisions, regression, ANN

JEL Classification Codes

, G1, G2, G4, G5

Paper Submission Date

, September 30, 2022, Paper sent back for Revision, May 5, 2023, Paper Acceptance Date, July 25, Paper Published Online, October 15, 2023

Abstract

Purpose: The present study aimed to determine the influence of personality traits and demographic characteristics on the investment behavior of individual investors in North India.

Design/Methodology/Approach: The current study adopted a survey method and purposive sampling technique to collect the data from 315 respondents using Google Forms. For analysis, a two-stage analysis approach was adopted. In the first stage, regression analysis was used for hypotheses testing, and in the second stage, an artificial neural network (ANN) approach was adopted to validate the regression results.

Findings: The impact of the neurotic trait was found to be significantly positive on short-term investment decisions and significantly negative on long-term investment decisions. Conscientiousness was found to be a positive and significant predictor of long-term investment decisions and an insignificant predictor of short-term investment decisions. Among demographical variables, education was the only variable that positively and significantly impacted short-term investment decisions. In determining the long-term investment decisions, the role of all four demographic variables was found to be insignificant.

Practical Implications: This study found its relevance among retail investors as this study would assist them in knowing their personality type before making investment decisions.

Originality/Value: Determining the investment behavior of Indian retail investors by debating their personality traits and demographic variances made this study novel. The other feature that adds originality and novelty to this study is the use of a non-linear approach (ANN) along with a linear approach (regression) to predict the significance of the determining factors.

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Published

2023-09-29

How to Cite

Manzoor, A., Jan, A., & Shafi, M. (2023). Do Personality and Demographic Variances of Individual Investors Challenge the Assumption of Rationality? A Two-Staged Regression Modeling-Artificial Neural Network Approach. Indian Journal of Finance, 17(10), 64–78. https://doi.org/10.17010/ijf/2023/v17i10/168549

Issue

Volume 17, Issue 10, October 2023

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

References

Ahmad, M. (2021). Does underconfidence matter in short-term and long-term investment decisions? Evidence from an emerging market. Management Decision, 59(3), 692–709. https://doi.org/10.1108/MD-07-2019-0972

Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665–683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x

Akhtar, F., & Das, N. (2020). Investor personality and investment performance: From the perspective of psychological traits. Qualitative Research in Financial Markets, 12(3), 333–352. https://doi.org/10.1108/QRFM-11-2018-0116

Allport, G. W., & Odbert, H. S. (1936). Trait-names: A psycho-lexical study. Psychological Monographs, 47(1), i–171. https://doi.org/10.1037/h0093360

Alwosheel, A., van Cranenburgh, S., & Chorus, C. G. (2018). Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis. Journal of Choice Modelling, 28, 167–182. https://doi.org/10.1016/j.jocm.2018.07.002

Aprayuda, R., Misra, F., & Kartika, R. (2021). Does the order of information affect investors' investment decisions? Experimental investigation. Journal of Accounting and Investment, 22(1), 150–172. https://doi.org/10.18196/jai.v22i1.9965

Aren, S., & Aydemir, S. D. (2015). The factors influencing given investment choices of individuals. Procedia - Social and Behavioral Sciences, 210, 126–135. https://doi.org/10.1016/j.sbspro.2015.11.351

Athira, K., & Kakkakunnan, M. K. (2020). Impact of demographic traits and personality traits of investors on their risk-bearing capacity: A study with special reference to investors of Kerala. Indian Journal of Finance and Banking, 4(2), 64–78. https://doi.org/10.46281/ijfb.v4i2.737

Brown, S., & Taylor, K. (2014). Household finances and the 'Big Five' personality traits. Journal of Economic Psychology, 45, 197–212. https://doi.org/10.1016/j.joep.2014.10.006

Costa Jr, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653-665. https://doi.org/10.1016/0191-8869(92)90236-I

Choudhary, S., Yadav, M., & Srivastava, A. P. (2021). Cognitive biases among millennial Indian investors: Do personality and demographic factors matter? FIIB Business Review. https://doi.org/10.1177/23197145211057343

Crysel, L. C., Crosier, B. S., & Webster, G. D. (2013). The dark triad and risk behavior. Personality and Individual Differences, 54(1), 35–40. https://doi.org/10.1016/j.paid.2012.07.029

Dangi, M., & Kohli, B. (2018). Role of behavioral biases in investment decisions: A factor analysis. Indian Journal of Finance, 12(3), 43–57. https://doi.org/10.17010/ijf/2018/v12i3/121997

Ferreira-Schenk, S., Dickason-Koekemoer, Z., & Shah, N. H. (2021). Factors influencing individuals' short-term investment intentions. International Journal of Economics and Financial Issues, 11(4), 73–81. https://doi.org/10.32479/ijefi.11449

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Idrissi, T. E., Idri, A., & Bakkoury, Z. (2019). Systematic map and review of predictive techniques in diabetes self-management. International Journal of Information Management, 46, 263–277. https://doi.org/10.1016/j.ijinfomgt.2018.09.011

Ishfaq, M., Nazir, M. S., Qamar, M. A. J., & Usman, M. (2020). Cognitive bias and the extraversion personality shaping the behavior of investors. Frontiers in Psychology, 11, 556506. https://doi.org/10.3389/fpsyg.2020.556506

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575

Kahneman, D., & Tversky, A. (1979). On the interpretation of intuitive probability: A reply to Jonathan Cohen. Cognition, 7(4), 409–411. https://doi.org/10.1016/0010-0277(79)90024-6

Karaca, Y., Moonis, M., Zhang, Y.-D., & Gezgez, C. (2019). Mobile cloud computing based stroke healthcare system. International Journal of Information Management, 45, 250–261. https://doi.org/10.1016/j.ijinfomgt.2018.09.012

Lai, C.-P. (2019). Personality traits and stock investment of individuals. Sustainability, 11(19), 5474. https://doi.org/10.3390/su11195474

Lan, Q., Xiong, Q., He, L., & Ma, C. (2018). Individual investment decision behaviors based on demographic characteristics: Case from China. PLoS One, 13(8), e0201916. https://doi.org/10.1371/journal.pone.0201916

Leong, L.-Y., Hew, T.-S., Ooi, K.-B., & Wei, J. (2020). Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach. International Journal of Information Management, 51, 102047. https://doi.org/10.1016/j.ijinfomgt.2019.102047

Lutfi, L. (2010). The relationship between demographic factors and investment decision in Surabaya. Journal of Economics, Business, & Accountancy Ventura, 13(3), 213–224. http://dx.doi.org/10.14414/jebav.v13i3.13

Manzoor, A., Jan, A., Shafi, M., Ashraf Parry, M., & Mir, T. (2023). Role of perceived COVID- 19 disruption, personality traits and risk perception in determining the investment behavior of retail investors: A hybrid regression-neural network approach. Journal of Economic and Administrative Sciences, Vol. ahead-of-print, No. ahead-of-print. https://doi.org/10.1108/JEAS-01-2023-0026

Maslej, M. M., Oatley, K., & Mar, R. A. (2017). Creating fictional characters: The role of experience, personality, and social processes. Psychology of Aesthetics, Creativity, and the Arts, 11(4), 487–499. https://doi.org/10.1037/aca0000094

Maxfield, S., Shapiro, M., Gupta, V., & Hass, S. (2010). Gender and risk: Women, risk taking and risk aversion. Gender in Management, 25(7), 586–604. https://doi.org/10.1108/17542411011081383

Nandan, T., & Saurabh, K. (2016). Big-five personality traits, financial risk attitude and investment intentions: Study on Generation Y. International Journal of Business Forecasting and Marketing Intelligence, 2(2), 128–150. https://doi.org/10.1504/IJBFMI.2016.078154

Nga, J. K., & Ken Yien, L. (2013). The influence of personality trait and demographics on financial decision making among Generation Y. Young Consumers, 14(3), 230–243. https://doi.org/10.1108/YC-11-2012-00325

Oehler, A., Wendt, S., Wedlich, F., & Horn, M. (2018). Investors' personality influences investment decisions: Experimental evidence on extraversion and neuroticism. Journal of Behavioral Finance, 19(1), 30–48. https://doi.org/10.1080/15427560.2017.1366495

Özmen, O., & Sümer, Z. H. (2011). Predictors of risk-taking behaviors among Turkish adolescents. Personality and Individual Differences, 50(1), 4–9. https://doi.org/10.1016/j.paid.2010.07.015

Pak, O., & Mahmood, M. (2015). Impact of personality on risk tolerance and investment decisions: A study on potential investors of Kazakhstan. International Journal of Commerce and Management, 25(4), 370–384. https://doi.org/10.1108/IJCoMA-01-2013-0002

Patel, J., Modi, A., & Paul, J. (2017). Pro-environmental behavior and socio-demographic factors in an emerging market. Asian Journal of Business Ethics, 6, 189–214. https://doi.org/10.1007/s13520-016-0071-5

Raheja, S., & Dhiman, B. (2017). Influence of personality traits and behavioral biases on investment decision of investors. Asian Journal of Management, 8(3), 819–826. http://dx.doi.org/10.5958/2321-5763.2017.00129.9

Ramesh, S., Senthil Kumar, A., & Sayyed, N. (2019). Impact of personality measures and investors' biases on decision - making skills of women investors in mutual funds. Indian Journal of Finance, 13(4), 7–19. https://doi.org/10.17010/ijf/2019/v13i4/143124

Raut, R. K., & Das, N. (2015). Behavioral prospects of individual investor decision making process: A review. Indian Journal of Finance, 9(4), 44–55. https://doi.org/10.17010/ijf/2015/v9i4/71457

Sadiq, M., & Amna, H. (2019). Impact of personality traits on risk tolerance and investors' decision making. International Journal of Applied Behavioral Economics (IJABE), 8(1), 1–20. https://doi.org/10.4018/IJABE.2019010101

Sadiq, M. N., & Khan, R. A. A. (2019). Impact of personality traits on investment intention: The mediating role of risk behaviour and the moderating role of financial literacy. Journal of Finance & Economics Research, 4(1), 1–18. https://doi.org/10.20547/jfer1904101

Sadi, R., Asl, H. G., Rostami, M. R., Gholipour, A., & Gholipour, F. (2011). Behavioral finance: The explanation of investors' personality and perceptual biases effects on financial decisions. International Journal of Economics and Finance, 3(5), 234–241. https://doi.org/10.5539/ijef.v3n5p234

Senda, D. A., Rahayu, C. W. E., & Rahmawati, C. H. T. (2020). The effect of financial literacy level and demographic factors on investment decision. Media Ekonomi Dan Manajemen, 35(1), 100–111. http://dx.doi.org/10.24856/mem.v35i1.1246

Shobha, T. S., & Chakraborty, S. (2017). Psychological factors contributing to the financial well-being of an individual: A review of empirical literature. Indian Journal of Finance, 11(10), 51–66. https://doi.org/10.17010/ijf/2017/v11i10/118775

Sayankar, V., Sonawane, M., & Joshi, P. M. (2021). A study on impact of demographic factors on overconfidence bias in investment decision process. International Journal of Management (IJM), 12(5), 64–71. https://doi.org/10.34218/IJM.12.5.2021.006

Tan, G.-W. H., Ooi, K.-B., Leong, L.-Y., & Lin, B. (2014). Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach. Computers in Human Behavior, 36, 198–213. https://doi.org/10.1016/j.chb.2014.03.052

Teo, A.-C., Tan, G. W.-H., Ooi, K.-B., Hew, T.-S., & Yew, K.-T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems, 115(2), 311–331. https://doi.org/10.1108/IMDS-08-2014-0231

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

Virlics, A. (2013). Investment decision making and risk. Procedia Economics and Finance, 6, 169–177. https://doi.org/10.1016/S2212-5671(13)00129-9

Zeb, N., Iqbal, Z., Zeb, A. A., & Khan, M. M. (2020). Impact of personality traits on investment decision with moderating role of financial literacy. Ilkogretim Online - Elementary Education Online, 19(3), 2730–2737. https://doi.org/10.17051/ilkonline.2020.03.735432