Ellsberg Paradox and Disposition Effect
How the Price Change Can Affect Investment Decisions to Realize Gain or Loss.
DOI:
https://doi.org/10.25120/jre.5.1.2025.4215Keywords:
Disposition Effect, Ellsberg Paradox, Ambiguity, Asset Liquidation, Logistic RegressionAbstract
The Ellsberg paradox can help us understand how ambiguity can induce asset liquidation, which is reflected by gain or loss realization in the disposition effect. This study investigates the impact of ambiguity (as the Ellsberg Paradox describes) and framing effects on the disposition effect in asset liquidation decisions. By integrating prospect theory with behavioral finance principles, the research seeks to understand how ambiguity connected with emotional biases influences investors' likelihood to liquidate assets under varying conditions of risk and uncertainty. The study uses logistic regression models to analyze data collected from a disposition effect simulation, examining their asset liquidation behaviors concerning the ambiguity and framing effects. The research incorporates subjective targets and tolerances to provide a nuanced understanding of the rationality of asset liquidation decisions in the gain and loss domain. The results indicate that higher ambiguity is associated with a lower probability of asset liquidation, particularly for gains, which aligns with the predictions of the Ellsberg Paradox. The study also finds that the framing effect serves as a quasi-moderator, enhancing investors' decision-making by aligning their actions with personal targets and tolerances. These findings confirm the presence of the disposition effect, with investors more likely to realize gains than losses, but this behavior is moderated by ambiguity and framing considerations. The study offers valuable insights for financial advisors, portfolio managers, and policymakers by highlighting the importance of managing ambiguity and framing in investment strategies. It suggests using decision aids and educational interventions to help investors make more rational decisions, thereby mitigating the negative impacts of behavioral biases. This paper uses logistic regression to unveil the interaction between asset liquidation, ambiguity, and the framing effect in investment decisions. Separate models explain gain and loss realization to understand better how ambiguity differs in winning and losing assets. Furthermore, the additional context of target and tolerance is added to the models, which can prove not all gain realization is irrational based on the bounded rationality of the decision-makers.
References
Abinzano, I., Muga, L., & Santamaria, R. (2010). The role of over-reaction and the disposition effect in explaining momentum in Latin American emerging markets. Investigación Económica, 69(273), 151–186. DOI: https://doi.org/10.22201/fe.01851667p.2010.273.24255
Ahn, Y. (2022). The anatomy of the disposition effect: Which factors are most important? Finance Research Letters, 44, 102040. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.frl.2021.102040 DOI: https://doi.org/10.1016/j.frl.2021.102040
Alzaman, C. (2024). Deep learning in stock portfolio selection and predictions. Expert Systems with Applications, 237, 121404. https://doi.org/10.1016/j.eswa.2023.121404 DOI: https://doi.org/10.1016/j.eswa.2023.121404
Bihari, A., Dash, M., Kar, S. K., Muduli, K., Kumar, A., & Luthra, S. (2022). Exploring behavioural bias affecting investment decision-making: a network cluster based conceptual analysis for future research. International Journal of Industrial Engineering and Operations Management, 4(1/2), 19–43. https://doi.org/10.1108/IJIEOM-08-2022-0033 DOI: https://doi.org/10.1108/IJIEOM-08-2022-0033
Brettschneider, J., Burro, G., & Henderson, V. (2021). Wide framing disposition effect: An empirical study. Journal of Economic Behavior & Organization, 185, 330–347. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.jebo.2021.03.003 DOI: https://doi.org/10.1016/j.jebo.2021.03.003
Bulipopova, E., Zhdanov, V., & Simonov, A. (2014). Do investors hold that they know? Impact of familiarity bias on investor’s reluctance to realize losses: Experimental approach. Finance Research Letters, 11(4), 463–469. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.frl.2014.10.003 DOI: https://doi.org/10.1016/j.frl.2014.10.003
Chernobai, E., & Hossain, T. (2017). Determinants of house buyers’ expected holding periods in boom and bust markets in California. International Journal of Housing Markets and Analysis, 10(2), 256–281. https://doi.org/10.1108/IJHMA-05-2016-0034 DOI: https://doi.org/10.1108/IJHMA-05-2016-0034
Dai, M., Jiang, Y., Liu, H., & Xu, J. (2023). A rational theory for disposition effects. Review of Economic Dynamics, 47, 131–157. https://doi.org/10.1016/j.red.2021.11.003 DOI: https://doi.org/10.1016/j.red.2021.11.003
Duxbury, D., & Summers, B. (2018). On perceptions of financial volatility in price sequences. European Journal of Finance, 24(7–8), 521–543. https://doi.org/10.1080/1351847X.2017.1282882 DOI: https://doi.org/10.1080/1351847X.2017.1282882
Ellsberg, D. (1961). Risk, Ambiguity, and the Savage Axioms. The Quarterly Journal of Economics, 75(4), 643. https://doi.org/10.2307/1884324 DOI: https://doi.org/10.2307/1884324
Eom, Y. (2018). The opposite disposition effect: Evidence from the Korean stock index futures market. Finance Research Letters, 26, 261–265. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.frl.2018.02.004 DOI: https://doi.org/10.1016/j.frl.2018.02.004
Fenner, R. G., Han, Y., & Huang, Z. (2020). Idiosyncratic volatility shocks, behavior bias, and cross-sectional stock returns. In Quarterly Review of Economics and Finance (Vol. 75, pp. 276–293). Elsevier B.V. https://doi.org/10.1016/j.qref.2019.05.004 DOI: https://doi.org/10.1016/j.qref.2019.05.004
Fenton-O’creevy, M., Adam, M., Clough, G., Conole, G., Gaved, M., Lins, J. T., Lindley, C., Peffer, G., Scanlon, E., & Smidts, A. (2015). A Game Based Approach to Improve Traders’ Decision-Making. The International Gamification for Business Conference 2015: Strategic Industrial Applications of Games and Gamification. http://www.aston.ac.uk/aston-business-school/resea.
Frieder, L. (2008). Investor and price response to patterns in earnings surprises. Journal of Financial Markets, 11(3), 259–283. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.finmar.2008.02.001 DOI: https://doi.org/10.1016/j.finmar.2008.02.001
Gao, H., Shi, D., & Zhao, B. (2021). Does good luck make people overconfident? Evidence from a natural experiment in the stock market. Journal of Corporate Finance, 68, 101933. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.jcorpfin.2021.101933 DOI: https://doi.org/10.1016/j.jcorpfin.2021.101933
Gärling, T., Blomman, M., & Carle, T. A. (2017). Affect account of disposition effect and consequences for stock prices. Review of Behavioral Finance, 9(2), 187–202. https://doi.org/10.1108/RBF-07-2016-0049 DOI: https://doi.org/10.1108/RBF-07-2016-0049
Guenther, B., & Lordan, G. (2023). When the disposition effect proves to be rational: Experimental evidence from professional traders. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1091922 DOI: https://doi.org/10.3389/fpsyg.2023.1091922
Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (T. D. Little, Ed.; Third Edition). Guilford Press.
Henderson, V. (2012). Prospect theory, liquidation, and the disposition effect. Management Science, 58(2), 445–460. https://doi.org/10.1287/mnsc.1110.1468 DOI: https://doi.org/10.1287/mnsc.1110.1468
Henderson, V., Hobson, D., & Tse, A. S. L. (2018). Probability weighting, stop-loss and the disposition effect. Journal of Economic Theory, 178, 360–397. https://doi.org/10.1016/j.jet.2018.10.002 DOI: https://doi.org/10.1016/j.jet.2018.10.002
Hur, J., Pritamani, M., & Sharma, V. (2010). Momentum and the Disposition Effect: The Role of Individual Investors. Financial Management, 39(3), 1155–1176. https://doi.org/10.1111/j.1755-053X.2010.01107.x DOI: https://doi.org/10.1111/j.1755-053X.2010.01107.x
Ju, N., & Miao, J. (2012). Ambiguity, Learning, and Asset Returns. Econometrica, 80(2), 559–591. https://doi.org/10.3982/ECTA7618 DOI: https://doi.org/10.3982/ECTA7618
Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263–292. https://doi.org/https://doi.org/10.2307/1914185 DOI: https://doi.org/10.2307/1914185
Kiky, A. (2022). Challenges of Integrating Emotion into a Theoretical Framework in a Higher Education Investment Course. Journal of Resilient Economy, 2(1), 78–84. https://doi.org/10.25120/jre.2.1.2022.3915 DOI: https://doi.org/10.25120/jre.2.1.2022.3915
Kiky, A. (2024). Rationality of the Disposition Effect Through Framed Information of Target and Tolerance. https://repository.uksw.edu//handle/123456789/33189
Kiky, A., Atahau, A. D. R., Mahastanti, L. A., & Supatmi, S. (2024). Framing effect and disposition effect: investment decisions tools to understand bounded rationality. Review of Behavioral Finance. https://doi.org/10.1108/RBF-11-2023-0311 DOI: https://doi.org/10.1108/RBF-11-2023-0311
Kuo, M. H., Chen, S. K., & Chen, S. S. (2013). How to lessen the disposition effect? It pays to study before investing. Advances in Business and Management Forecasting, 9, 77–90. https://doi.org/10.1108/S1477-4070(2013)0000009009 DOI: https://doi.org/10.1108/S1477-4070(2013)0000009009
Lee, J. S., Yen, P. H., & Chan, K. C. (2013). Market states and disposition effect: Evidence from Taiwan mutual fund investors. Applied Economics, 45(10), 1331–1342. https://doi.org/10.1080/00036846.2011.617696 DOI: https://doi.org/10.1080/00036846.2011.617696
Locke, P. R., & Mann, S. C. (2009). Daily income target effects: Evidence from a large sample of professional commodities traders. Journal of Financial Markets, 12(4), 814–831. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.finmar.2009.07.004 DOI: https://doi.org/10.1016/j.finmar.2009.07.004
Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x DOI: https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
Misra, R., Prosad, J. M., Ashok, S., & Goel, P. (2022). A qualitative examination of changing investment preferences, sentiments and behavioural tendencies in COVID-19: a special case of Indian individual investors. Qualitative Research in Financial Markets, 14(4), 602–620. https://doi.org/10.1108/QRFM-12-2020-0232 DOI: https://doi.org/10.1108/QRFM-12-2020-0232
Novykov, V., Bilson, C., Gepp, A., Harris, G., & Vanstone, B. J. (2023). Deep learning applications in investment portfolio management: a systematic literature review. Journal of Accounting Literature. https://doi.org/10.1108/JAL-07-2023-0119 DOI: https://doi.org/10.1108/JAL-07-2023-0119
Odean, T. (1998). Are investors reluctant to realize their losses? The Journal of Finance, 53(5), 1775–1798. https://doi.org/10.1017/CBO9780511803475.022 DOI: https://doi.org/10.1111/0022-1082.00072
Raheja, S., & Dhiman, B. (2020). How do emotional intelligence and behavioral biases of investors determine their investment decisions? Rajagiri Management Journal, 14(1), 35–47. https://doi.org/10.1108/RAMJ-12-2019-0027 DOI: https://doi.org/10.1108/RAMJ-12-2019-0027
Richards, D. W., Rutterford, J., Kodwani, D., & Fenton-O’Creevy, M. (2017). Stock market investors’ use of stop losses and the disposition effect. European Journal of Finance, 23(2), 130–152. https://doi.org/10.1080/1351847X.2015.1048375 DOI: https://doi.org/10.1080/1351847X.2015.1048375
Shefrin, H., & Statman, M. (1985). The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence. The Journal of Finance, 40(3), 777–790. https://doi.org/https://doi.org/10.2307/2327802 DOI: https://doi.org/10.1111/j.1540-6261.1985.tb05002.x
Simon, H. A. (1972). Theories of Bounded Rationality. In Decision and Organization (pp. 161–176). Elsevier.
Summers, B., & Duxbury, D. (2012). Decision-dependent emotions and behavioral anomalies. Organizational Behavior and Human Decision Processes, 118(2), 226–238. https://doi.org/10.1016/j.obhdp.2012.03.004 DOI: https://doi.org/10.1016/j.obhdp.2012.03.004
Talpsepp, T., & Vaarmets, T. (2019). The disposition effect, performance, stop loss orders and education. Journal of Behavioral and Experimental Finance, 24, 100240. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/j.jbef.2019.100240 DOI: https://doi.org/10.1016/j.jbef.2019.100240
Thaler, R. H. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior and Organization, 39–60. https://doi.org/10.1016/0167-2681(80)90051-7 DOI: https://doi.org/10.1016/0167-2681(80)90051-7
Tversky, A., & Kahneman, D. (1981). The Framing of Decisions and the Psychology of Choice. Science, 211(4481), 453–458. https://doi.org/10.1007/978-1-4613-2391-4_2 DOI: https://doi.org/10.1126/science.7455683
Vaarmets, T., Liivamägi, K., & Talpsepp, T. (2019). How does learning and education help to overcome the disposition effect? In Review of Finance (Vol. 23, Issue 4, pp. 801–830). Oxford University Press. https://doi.org/10.1093/rof/rfy006 DOI: https://doi.org/10.1093/rof/rfy006
Weber, M., & Camerer, C. F. (1998). The disposition effect in securities trading: an experimental analysis. Journal of Economic Behavior & Organization, 33(2), 167–184. https://doi.org/https://doi-org.ub.remotexs.co/10.1016/S0167-2681(97)00089-9 DOI: https://doi.org/10.1016/S0167-2681(97)00089-9
Zahera, S. A., & Bansal, R. (2019). A study of prominence for disposition effect: a systematic review. Qualitative Research in Financial Markets, 11(1), 2–21. https://doi.org/10.1108/QRFM-07-2018-0081 DOI: https://doi.org/10.1108/QRFM-07-2018-0081
Zhdanov, V., & Simonov, A. (2021). Sell winners and buy losers? The impact of familiarity on individual investors’ decision-making: Experimental results. International Journal of Financial Studies, 9(3). https://doi.org/10.3390/ijfs9030047 DOI: https://doi.org/10.3390/ijfs9030047
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