Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio

El papel de los factores heurísticos en el comportamiento de las inversiones: exploración de las anomalías del mercado de valores en un entorno volátil

Resumen

La literatura sobre factores heurísticos y el comportamiento de la inversión no es muy precisa. Por eso es muy importante explorar y cuantificar el mecanismo de mediación de las anomalías del mercado de valores en un entorno volátil. Los datos para esta investigación se recopilaron a través de una encuesta a inversores bursátiles que participan activamente en la inversión. Los hallazgos de este estudio indican que los factores heurísticos, la disponibilidad, el conservadurismo y la ilusión de control tienen una relación directa significativa y positiva con el rendimiento de la inversión. Para factores heurísticos como el anclaje y la falacia del apostador, ha habido una relación directa insignificante con el rendimiento de la inversión. Mientras que la ilusión de control y el conservadurismo, en relación indirecta con el rendimiento de la inversión, generan anomalías tanto fundamentales como técnicas en el mercado y afectan el rendimiento de la inversión a través de ambas anomalías. El sesgo de anclaje, el sesgo de disponibilidad y la falacia del apostador no causan anomalías técnicas y fundamentales en el mercado. Los resultados de nuestro estudio indican que las anomalías fundamentales y técnicas del mercado de valores han influido en el rendimiento de inversión de los inversores individuales. Los hallazgos muestran que existe un impacto significativo de las anomalías fundamentales en el rendimiento de la inversión. 


Palabras clave

Factores heurísticos, Anomalías técnicas, Anomalías fundamentales, Bolsa de valores, Rendimiento de las inversiones, Análisis de mediación, mercados financieros

XML (English) PDF (English)

Referencias

  1. Abdin, S. Z., Sultana, N., Farooq, M., & Ali Shah, S. Z. (2017). Stock Market Anomalies as Mediators Between Prospect Factors and Investment Decisions and Performance: Findings at the Individual Investor Level. The Lahore Journal of Business, 6(1), 22-40. https://doi.org/10.35536/ljb.2017.v6.i1.a2 DOI: https://doi.org/10.35536/ljb.2017.v6.i1.a2
  2. Alrabadi, D. H., Al-Abdallah, S. Y., & Aljarayesh, N. A. (2018). Behavioral Biases and Investment Performance: Does Gender Matter? Evidence from Amman Stock Exchange. Jordan Journal of Economic Sciences, 5(1), 77-92. https://doi.org/10.35516/1250-005-001-006 DOI: https://doi.org/10.35516/1250-005-001-006
  3. Bakar, S., & Yi, A. N. C. (2016). The Impact of Psychological Factors on Investors' Decision Making in Malaysian Stock Market: A Case of Klang Valley and Pahang. Procedia Economics and Finance, 35, 319-328. https://doi.org/10.1016/S2212-5671(16)00040-X DOI: https://doi.org/10.1016/S2212-5671(16)00040-X
  4. Barber, B. M., & Odean, T. (2008). All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. The Review of Financial Studies, 21(2), 785-818. https://doi.org/10.1093/rfs/hhm079 DOI: https://doi.org/10.1093/rfs/hhm079
  5. Bhattacharya, R. (2012). Behavioral Finance: An Insight into the Psychological and Sociological Biases Affecting Financial Decision of Investors. International Journal of Business Economics and Management Research, 2(7), 147-157.
  6. Ceren, U. Z. A. R., & Akkaya, G. C. (2013). The Mental and Behavioral Mistakes Investors Make. International Journal of Business and Management Studies, 5(1), 120-128.
  7. Chitra, K., & Jayashree, T. (2014). Does Demographic Profile Create a Difference in the Investor Behavior? The International Journal of Business & Management, 2(7), 24.
  8. Bako, E. D. & Sechel, I. C. (2013, July). Technical And Fundamental Anomalies. Paradoxes of Modern Stock Exchange Markets. Annals of Faculty of Economics, University of Oradea, 1(1), 37-43.
  9. Farooq, O., Payaud, M., Merunka, D., & Valette-Florence, P. (2014). The Impact of Corporate Social Responsibility on Organizational Commitment: Exploring Multiple Mediation Mechanisms. Journal of Business Ethics, 125(4), 563-580. https://doi.org/10.1007/s10551-013-1928-3 DOI: https://doi.org/10.1007/s10551-013-1928-3
  10. Ishfaq, M., & Anjum, N. (2015). Effect of Anchoring Bias on Risky Investment Decision. Evidence from Pakistan Equity Market. Journal of Poverty, Investment and Development, 14, 1-9.
  11. Kahneman, D., & Egan, P. (2011). Thinking, Fast and Slow (vol. 1). Farrar, Straus and Giroux.
  12. Khan, M. Z. U. (2015). Impact of Availability Bias and Loss Aversion Bias on Investment Decision Making, Moderating Role of Risk Perception. Journal of Research in Business Management, 1(2).
  13. Kirkpatrick II, C. D., & Dahlquist, J. A. (2010). Technical Analysis: The Complete Resource for Financial Market Technicians. FT Press.
  14. Kudryavtsev, A., Cohen, G., & Hon-Snir, S. (2013). 'Rational' or 'Intuitive': Are Behavioral Biases Correlated Across Stock Market Investors? Contemporary Economics, 7(2), 31-53. https://doi.org/10.5709/ce.1897-9254.81 DOI: https://doi.org/10.5709/ce.1897-9254.81
  15. Lusardi, A., & Mitchell, O. S. (2005). Implications for Retirement Wellbeing. Yale University. http://www.econ.yale.edu/~shiller/behmacro/2005-11/lusardi.pdf
  16. Mahmood, Z., Kouser, R., Abbas, S. S., & Saba, I. (2016). The Effect of Hueristics, Prospect and Herding Factors on Investment Performance. Pakistan Journal of Social Sciences (PJSS), 36(1).
  17. Menike, L. M. C. S., Dunusinghe, P., & Ranasinghe, A. (2015). Behavioural Factors Influence on Investment Performance: A Survey of Individual Investors at Colombo Stock Exchange. In Proceedings of 10th Annual London Business Research Conference. Imperial College, London UK.
  18. Mizrach, B., & Weerts, S. (2009). Experts Online: An Analysis of Trading Activity in a Public Internet Chat Room. Journal of Economic Behavior & Organization, 70(1-2), 266-281. https://doi.org/10.1016/j.jebo.2009.02.001 DOI: https://doi.org/10.1016/j.jebo.2009.02.001
  19. Obara, C. A. (2015). The Effect of Heuristic Biases on Investment Returns by Unit Trusts in Kenya. (Unpublished MBA Project). School of Business, University of Nairobi.
  20. Peloza, J. (2009). The Challenge of Measuring Financial Impacts from Investments in Corporate Social Performance. Journal of Management, 35(6), 1518-1541. https://doi.org/10.1177/0149206309335188 DOI: https://doi.org/10.1177/0149206309335188
  21. Plous, S. (1993). The Psychology of Judgment and Decision Making. McGraw-Hill Book Company. https://doi.org/10.1037/e412982005-012 DOI: https://doi.org/10.1037/e412982005-012
  22. Pompian, M. M. (2011). Behavioral Finance and Wealth Management: How to Build Investment Strategies that Account for Investor Biases. John Wiley & Sons. https://doi.org/10.1002/9781119202400 DOI: https://doi.org/10.1002/9781119202400
  23. Ranjbar, M. H., Abedini, B., & Jamali, M. (2014). Analyzing the Effective Behavioral Factors on the Investors' performance in Tehran Stock Exchange (TSE). International Journal of Technical Research and Applications, 2(8), 2320-8163.
  24. Read, D., & Grushka‐Cockayne, Y. (2011). The Similarity Heuristic. Journal of Behavioral Decision Making, 24(1), 23-46. https://doi.org/10.1002/bdm.679 DOI: https://doi.org/10.1002/bdm.679
  25. Shah, S. Z. A., Ahmad, M., & Mahmood, F. (2018). Heuristic Biases in Investment Decision-Making and Perceived Market Efficiency: A Survey at the Pakistan Stock Exchange. Qualitative Research in Financial Markets, 10(1), 85-110. https://doi.org/10.1108/QRFM-04-2017-0033 DOI: https://doi.org/10.1108/QRFM-04-2017-0033
  26. Shen, L., & Loh, H. T. (2004). Applying Rough Sets to Market Timing Decisions. Decision Support Systems, 37(4), 583-597. https://doi.org/10.1016/S0167-9236(03)00089-7 DOI: https://doi.org/10.1016/S0167-9236(03)00089-7
  27. Sewell, M. (2007). Behavioural Finance. University of Cambridge Journal, (2), 1-13.
  28. Thomas, D. C. (2018). Influences of Behavioural Biases on Retail Investors. Evidences from India. International Journal of Current Engineering and Scientific Research, 5(4), 27-36.
  29. Ullah, S. (2015). An Empirical Study of Illusion of Control and Self-Serving Attribution Bias, Impact on Investor's Decision Making: Moderating Role of Financial Literacy. Research Journal of Finance and Accounting, 6(19), 109-118.
  30. Ul Abdin, S. Z., Farooq, O., Sultana, N., & Farooq, M. (2017). The Impact of Heuristics on Investment Decision and Performance: Exploring Multiple Mediation Mechanisms. Research in International Business and Finance, 42, 674-688. https://doi.org/10.1016/j.ribaf.2017.07.010 DOI: https://doi.org/10.1016/j.ribaf.2017.07.010
  31. Venkatapathy, R., & Sultana, A. H. (2016, June). Behavioural Finance: Heuristics in Investment Decisions. TEJAS Thiagarajar College Journal, 1(2), 35-44.
  32. Zhang, Y., Bellamy, R. K., & Kellogg, W. A. (2015, April). Designing Information for Remediating Cognitive Biases in Decision-Making. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2211-2220). ACM. https://doi.org/10.1145/2702123.2702239 DOI: https://doi.org/10.1145/2702123.2702239

Descargas

Los datos de descargas todavía no están disponibles.

Artículos similares

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

También puede {advancedSearchLink} para este artículo.