IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/96719.html

Can Prospect Theory Explain Market Calendar Effects?

Author

Listed:
  • Mayo, Robert

Abstract

The purpose of this project is to determine if calendar effects observed in stock markets can be explained by prospect theory. In order to answer this question, I have created an agent based model simulating a stock market. There was no sign of any calendar effect in any of the configurations tested to a very high degree of confidence. In addition, there was no obvious difference in the market results generated between optimizing traders following multiple complex strategies and simple zero intelligence traders constrained only by their respective liquidity.

Suggested Citation

  • Mayo, Robert, 2013. "Can Prospect Theory Explain Market Calendar Effects?," MPRA Paper 96719, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:96719
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/96719/1/MPRA_paper_96719.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. B. LeBaron, 2001. "A builder's guide to agent-based financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 254-261.
    4. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
    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. repec:spo:wpmain:info:hdl:2441/vbu6kd1s68o6r34k5bcm3iopv is not listed on IDEAS
    2. Delphine Boutin & Laurène Petifour & Haris Megzari, 2022. "Instability of preferences due to Covid-19 Crisis and emotions: a natural experiment from urban Burkina Faso," Working Papers hal-03623601, HAL.
    3. Sanjaya, Muhammad Ryan, 2013. "On the source of risk aversion in Indonesia using micro data 2007," Economics Discussion Papers 2013-33, Kiel Institute for the World Economy.
    4. Pratt, John W & Zeckhauser, Richard J, 1996. "Willingness to Pay and the Distribution of Risk and Wealth," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 747-763, August.
    5. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.
    6. Pietro DeLellis & Anna DiMeglio & Franco Garofalo & Francesco Lo Iudice, 2017. "The evolving cobweb of relations among partially rational investors," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-21, February.
    7. Orrell, David & McSharry, Patrick, 2009. "System economics: Overcoming the pitfalls of forecasting models via a multidisciplinary approach," International Journal of Forecasting, Elsevier, vol. 25(4), pages 734-743, October.
    8. Luc Arrondel & André Masson, 2017. "Why does household demand for shares decline during the crisis? The French case," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 494-495-4, pages 155-177.
    9. Bruno S. Frey & Reiner Eichenberger, 1989. "Should Social Scientists Care about Choice Anomalies?," Rationality and Society, , vol. 1(1), pages 101-122, July.
    10. Friedman, Dan & Sunder, Shyam, 2011. "Risky Curves: From Unobservable Utility to Observable Opportunity Sets," Santa Cruz Department of Economics, Working Paper Series qt36q158jt, Department of Economics, UC Santa Cruz.
    11. Harrison, Glenn W., 2008. "Neuroeconomics: A Critical Reconsideration," Economics and Philosophy, Cambridge University Press, vol. 24(3), pages 303-344, November.
    12. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
    13. André Lapidus, 2000. "La rationalité du choix passionnel : En quête de l'héritage de David Hume," Post-Print hal-00343939, HAL.
    14. Kiyoshi Yonemoto, 2021. "Reference-dependent preference and interregional migration: extending the Harris–Todaro model," Letters in Spatial and Resource Sciences, Springer, vol. 14(1), pages 1-10, April.
    15. Lawrence A. Boland & Irene M. Gordon, 1992. "Criticizing positive accounting theory," Contemporary Accounting Research, John Wiley & Sons, vol. 9(1), pages 142-170, September.
    16. Stavros A. Drakopoulos, 2025. "The Conceptual Resilience of the Atomistic Individual in Mainstream Economic Rationality," Review of Political Economy, Taylor & Francis Journals, vol. 37(1), pages 1-20, January.
    17. Manel Baucells & Rakesh K. Sarin, 2010. "Predicting Utility Under Satiation and Habit Formation," Management Science, INFORMS, vol. 56(2), pages 286-301, February.
    18. Brendan Markey-Towler, 2018. "Salience, chains and anchoring. Reducing complexity and enhancing the practicality of behavioural economics," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 2(1), pages 83-90, March.
    19. Holden, Stein T. & Tilahun, Mesfin, 2021. "Shocks and Stability of Risk Preferences," CLTS Working Papers 5/21, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    20. Clément Bellet, 2017. "Essays on inequality, social preferences and consumer behavior [Inégalités, préférences sociales et comportement du consommateur]," Sciences Po Economics Publications (main) tel-03455045, HAL.
    21. Zhihua Li & Songfa Zhong, 2023. "Reference Dependence in Intertemporal Preference," Management Science, INFORMS, vol. 69(1), pages 475-490, January.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

    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:pra:mprapa:96719. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.