IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v87y2023icp318-329.html
   My bibliography  Save this article

Investigating financial decision-making when facing skewed distributions of return: A survey study in Vietnam

Author

Listed:
  • Phan, Thi Nha Truc
  • Bertrand, Philippe
  • Vo, Xuan Vinh
  • Jones, Kirsten

Abstract

This study investigates the relevance of behavioural finance to decision making. Studies suggest that human decision making is not always rational. This paper examines three behavioural financial theories: expected utility, optimal expectation, and cumulative prospect theory, to test financial decision-making when facing skewed distribution in Vietnam. A survey was conducted using lottery tickets, with six questions divided into three pairs. Each pair was aligned with one set of theories, and the questions selected allowed conclusions to be drawn to explain participants' behaviour. The experiment tested 321 people from a variety of age ranges, genders and occupations. Findings show that gender and ages do not significantly impact the decision-making process. However, they explain the preference of participants who appear to be behaving irrationally but do show some rationality when facing the skewed distribution of return. Decision-makers look for all the possible probability payoffs and choose the best outcome with the low-frequency distribution. They follow optimal expectation and cumulative prospect theory ranking the increasing order payoff valued by the parameter and support the cumulative prospect theory set out by Tversky and Kahneman (1992), showing "cognitive biases" and demonstrating that individuals routinely make decisions that contradict reasonable logic The behavioural finance theory is again proven to be crucial. It strongly complements the standard financial theory. Individuals show heuristic behaviour when decision making in random situations especially when facing skewed distribution.

Suggested Citation

  • Phan, Thi Nha Truc & Bertrand, Philippe & Vo, Xuan Vinh & Jones, Kirsten, 2023. "Investigating financial decision-making when facing skewed distributions of return: A survey study in Vietnam," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 318-329.
  • Handle: RePEc:eee:quaeco:v:87:y:2023:i:c:p:318-329
    DOI: 10.1016/j.qref.2021.04.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976921000776
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.qref.2021.04.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Diecidue, Enrico & Wakker, Peter P, 2001. "On the Intuition of Rank-Dependent Utility," Journal of Risk and Uncertainty, Springer, vol. 23(3), pages 281-298, November.
    2. Markus K. Brunnermeier & Jonathan A. Parker, 2005. "Optimal Expectations," American Economic Review, American Economic Association, vol. 95(4), pages 1092-1118, September.
    3. repec:cup:judgdm:v:2:y:2007:i::p:342-350 is not listed on IDEAS
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    6. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    7. Patrick Roger & Marie-Helene Broihanne, 2007. "Efficiency of Betting Markets and Rationality of Players: Evidence from the French 6/49 Lotto," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(6), pages 645-662.
    8. Markus K. Brunnermeier & Jonathan A. Parker & Christian Gollier, 2007. "Optimal Beliefs, Asset Prices, and the Preference for Skewed Returns," American Economic Review, American Economic Association, vol. 97(2), pages 159-165, May.
    9. Joseph A. Mikels & Andrew E. Reed & Kosali I. Simon, 2009. "Older Adults Place Lower Value on Choice Relative to Young Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(4), pages 443-446.
    10. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    11. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    12. Daniel Kahneman & Richard H. Thaler, 2006. "Anomalies: Utility Maximization and Experienced Utility," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 221-234, Winter.
    13. Vikash Ramiah & Yilang Zhao & Imad Moosa & Michael Graham, 2016. "A behavioural finance approach to working capital management," The European Journal of Finance, Taylor & Francis Journals, vol. 22(8-9), pages 662-687, July.
    14. Krokida, Styliani-Iris & Makrychoriti, Panagiota & Spyrou, Spyros, 2020. "Monetary policy and herd behavior: International evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 386-417.
    15. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    16. Christopher Schwand & Rudolf Vetschera & Lea Wakolbinger, 2010. "The influence of probabilities on the response mode bias in utility elicitation," Theory and Decision, Springer, vol. 69(3), pages 395-416, September.
    17. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ohk, Seungbin & Ju, Biung-Ghi, 2021. "Capitalizing on prospect theory value: The Asian developed stock markets," Japan and the World Economy, Elsevier, vol. 57(C).
    2. Thomas Epper & Helga Fehr-Duda, 2012. "The missing link: unifying risk taking and time discounting," ECON - Working Papers 096, Department of Economics - University of Zurich, revised Oct 2018.
    3. Aissia, Dorsaf Ben, 2014. "IPO first-day returns: Skewness preference, investor sentiment and uncertainty underlying factors," Review of Financial Economics, Elsevier, vol. 23(3), pages 148-154.
    4. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    5. Jondeau, Eric & Zhang, Qunzi & Zhu, Xiaoneng, 2019. "Average skewness matters," Journal of Financial Economics, Elsevier, vol. 134(1), pages 29-47.
    6. Alexander L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin F. Camerer, 2024. "Meta-analysis of Empirical Estimates of Loss Aversion," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 485-516, June.
    7. Chen, Si, 2012. "Optimistic versus Pessimistic--Optimal Judgemental Bias with Reference Point," MPRA Paper 50693, University Library of Munich, Germany.
    8. Marie-Hélène Broihanne & Maxime Merli & Patrick Roger, 2016. "Diversification, gambling and market forces," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 129-157, July.
    9. Bradrania, Reza & Gao, Ya, 2024. "Lottery demand, weather and the cross-section of stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    10. Arvanitis, Stelios & Scaillet, Olivier & Topaloglou, Nikolas, 2020. "Spanning analysis of stock market anomalies under prospect stochastic dominance," Working Papers unige:134101, University of Geneva, Geneva School of Economics and Management.
    11. Shi, Leilei & Wang, Binghong & Guo, Xinshuai & Li, Honggang, 2021. "A price dynamic equilibrium model with trading volume weights based on a price-volume probability wave differential equation," International Review of Financial Analysis, Elsevier, vol. 74(C).
    12. Fang, Yi & Niu, Hui & Lin, Yuen, 2023. "Ex-ante Valuation based on Prospect Theory," MPRA Paper 116386, University Library of Munich, Germany.
    13. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    14. Mohrschladt, Hannes & Schneider, Judith C., 2021. "Option-implied skewness: Insights from ITM-options," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    15. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    16. T. Clifton Green & Byoung-Hyoun Hwang, 2012. "Initial Public Offerings as Lotteries: Skewness Preference and First-Day Returns," Management Science, INFORMS, vol. 58(2), pages 432-444, February.
    17. Xie, Yuxin & Hwang, Soosung & Pantelous, Athanasios A., 2018. "Loss aversion around the world: Empirical evidence from pension funds," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 52-62.
    18. Neszveda, G., 2019. "Essays on behavioral finance," Other publications TiSEM 05059039-5236-42a3-be1b-3, Tilburg University, School of Economics and Management.
    19. Baars, Maren & Mohrschladt, Hannes, 2024. "Preferences for maximum daily returns," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 343-353.
    20. Dorsaf Ben Aissia, 2014. "IPO first‐day returns: Skewness preference, investor sentiment and uncertainty underlying factors," Review of Financial Economics, John Wiley & Sons, vol. 23(3), pages 148-154, September.

    More about this item

    Keywords

    Financial decision-making; Skewed distribution of return; Rationality;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:quaeco:v:87:y:2023:i:c:p:318-329. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620167 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.