stdClass Object
(
[id] => 7858
[paper_index] => EW201903-01-002709
[title] => BEHAVIOURAL BIASES IN INVESTMENT DECISIONS: COMPONENT FACTORS EXTRACTION
[description] =>
- Ali, N. A., Zairi, M. & Mahat, F. (2006). Quality HR-TQM Model in Service Context. Staff paper, University of Putra Malaysia.
- Barber, B. & Odean, T. (2002). All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. Working Paper of the University of California, Berkeley, CA. Retrieved on 15/10/2014 from http://faculty.haas.berkeley.edu/odean/papers%20current%20versions/allthatglitters_rfs_2008.pdf
- Barberis, N., & Thaler, R. (2003). A survey of behavioural finance In Constantinides, G., Harris, M., Stulz, R. (Eds.), Handbook of the Economics of Finance, North-Holland, Amsterdam. Retrieved on 30/12/13 from http://faculty.som.yale.edu/nicholasbarberis/ch18_6.pdf
- Barberis, N., and Huang, M. (2001). Mental Accounting, Loss Aversion, and Individual Stock Returns. The Journal of Finance. 56(4), 1247-1292. Retrieved on 10/01/2014 from http://faculty.som.yale.edu/nicholasbarberis/ma_jnl.pdf
- Byrne, B. M. (2001). Structural equation modelling with AMOS: Basic concepts, applications, and programming, Mahwah, NJ: Erlbaum.
- Caparrelli, F.D., Arcangelis, A.M., & Cassuto, A. (2004). Herding in the Italian stock market: A case of behavioural finance. Journal of Behavioural Finance, 5 (4), 222–230.
- Cognitive Bias – Association for Psychological Science. www.psychologicalscience.org.
-
- De Bondt, W. F. M., & Thaler, R. (1985). Does the stock market overreact? The Journal of Finance, 40(3), 793-805.
- Fama, E.F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417.
- Fogel, O., & Berry, T. (2006). The disposition effect and individual investor decisions: the roles of regret and counterfactual alternatives. Journal of Behavioural Finance, 7 (2), 107–116.
- Hair J. F. Jr., Black W. C., Babin B. J., Anderson R., E. & Tatham R. L. (2006). Multivariate Data Analysis, 6th ed, Pearson Prentice Hall, Pearson Education, Inc., Upper Saddle River, New Jersey 07458.
- Hair, J. F., Black, B., Babin, B., Andersion, R. E. & Tatham, R. L. (1998). Multivariate data analysis. Prentice-Hall, International, Inc.
- Haselton, M. G.; Nettle, D. & Andrews, P. W. (2005). The evolution of cognitive bias. In D. M.
- Buss (Ed.), The Handbook of Evolutionary Psychology: Hoboken, NJ, US: John Wiley & Sons Inc. pp. 724–746.
- Helms, J. E., Henze K. T., Sass, T. L. & Mifsud, V. A. (2006). Treating Cronbach’s Alpha reliability coefficients as data in counselling research. The counselling psychologist, 34 (5), 630 - 660.
- Hirshleifer, D., (2001). Investor psychology and asset pricing. The Journal of Finance, 56(4), 153 –1597.
- Hvide, H. K. (2002). Pragmatic beliefs and overconfidence. Journal of Economic Behavior & Kahneman, D., & Tversky, A. (1974). Judgment under uncertainty: Heuristics and Biases Science, Journal of Finance 85 (4157), 1124-1131.
- Kahneman, D., and Tversky, A. (1979). Prospect theory: an analysis of decision-making under risk, Econometrica, 47 (2), 263–291.
- Kline, R. B. (2005). Principles and practice of structural equation modelling. New York: The Guilford Press.
- Lakonishok, J., Shleifer, A., & Vishny, R. W. (1992). The impact of institutional trading on stock prices. Journal of Financial Economics, 32(1), 23-43.
- Leech, N., Barrett, K. and Morgan G. (2005). SPSS for intermediate statistics: use and interpretation. Lawrence Erlbaum Associates, Inc.
- Lehenkari, M., & Perttunen, J. (2004). Holding onto the losers: finish evidence. The Journal of Behavioural Finance, 5(2), 116–126.
- Lingesiya, K., & Navaneethakrishnan K. (2014). The Influence of behavioural factors in making investment decisions and performance: Study on investors of Colombo stock exchange, Sri Lanka, Asian Journal of Finance & Accounting, 6(1). Retrieve from www.microthink.org/ajf
- Liu, Y., Wu, A. D., & Zumbo, B. D. (2010). The impact of outliers on Cronbach’s coefficient Alpha estimate of reliability: Ordinal/rating scale item responses. Educational and Psychological Measurement, 70 (1), 5–21
- Luong, L. P., & Thu Ha D. T., (2011). Behavioural factors influencing individual investors’ decision making and performance: A survey at the Ho Chi Minh stock exchange. Umea School of Business.
- MikoÅ‚ajek-Gocejna, M. (2017). Heuristics psychological aspects of decision-making on capital market. FinanceRynki Finansowe, Ubezpieczenia, 5(89/2), 143–156. DOI: 10.18276/frfu.2017.89/2-11.
- Odean, T. (1999). Do investors trade too much? American Economic Review, 89(5), 1279–1298. Accessed on 20 03/2014 from http://faculty.haas.berkeley.edu/odean/papers%20current%20versions/doinvestors.pdf.
- Oskamp, S. (1982). Overconfidence in case-study judgments. In: D. In Kahneman, P. Slovic and A. Tversky, eds, Judgment Under Uncertainty: Heuristics and biases. Cambridge: Cambridge University Press.
- Ritter, J. R. (2003). Behavioural finance. Pacific-Basin Finance Journal, 11 (4), 429-437.
- Sias, R.W. (2004). Institutional herding. Review of financial studies, 17(1), 165-206.
- Slovic, P. (1972). Psychological study of human judgment: Implications for investment decision-making. The Journal of Finance, 27(4), 779-799.
- Tabachnick, B. & Fidell, L. (2001). Using multivariate statistics”, Boston: Allyn and Bacon.
- Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131.
- Thomas, Oliver (2018-01-19). "Two decades of cognitive bias research in entrepreneurship: What do we know and where do we go from here?." Management Review Quarterly. 68 (2): 107–143. doi:10.1007/s11301-018-0135-9. ISSN 2198-1620.
- Waweru, N. M., Munyoki, E., & Uliana, E. (2008). 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, 1 (1), 24-41.
[author] => Ibrahim Audu
[googlescholar] => https://scholar.google.co.in/citations?user=KeqZGcIAAAAJ&hl=en
[doi] =>
[year] => 2019
[month] => February
[volume] => 7
[issue] => 2
[file] => eprapub/EW201903-01-002709.pdf
[abstract] => This paper seeks to explore the component factors of the behavioural biases that prevail among individual investors at the Nigerian stock market. This is an important input in developing the structural model that could be used to ascertain the influence of these biases on individuals’ investment performance. It adopts a survey strategy in an exploratory manner through exploratory factor analysis (EFA) using the maximum likelihood estimation approach. The paper finds that four major factors, represented by the theories of heuristics, prospect, market and herding, are indicated by the factor structure matrix. The four factors extracted explain 73.94% of the total variance of all the measurement items in the model. The factors were further validated via the Cronbach’s Alpha reliability statistic. The paper, therefore, concludes that the factors extracted are reliable and could be used as the exogenous variables in determining the influence of behavioural factors on individual investors’ performance at the Nigerian stock market. It further recommends that these factors should be subjected to convergent and discriminant validity tests to ascertain their uniqueness.
KEYWORDS: Behavioural bias, exploratory factor analysis, component factors, Nigerian Stock Market.
[keywords] =>
[doj] =>
[hit] => 1204
[status] =>
[award_status] => P
[orderr] => 5
[journal_id] => 4
[googlesearch_link] =>
[edit_on] =>
[is_status] => 1
[journalname] => EPRA International Journal of Economic and Business Review(JEBR)
[short_code] => IJES
[eissn] => 2347-9671 (O), 2349-0187(P)
[pissn] =>
[home_page_wrapper] => images/products_image/12.JEBR.png
)
Error fetching PDF file.