IDEAS home Printed from https://ideas.repec.org/p/jgu/wpaper/2404.html
   My bibliography  Save this paper

Time Pressure and Strategic Risk-Taking in Professional Chess

Author

Listed:
  • Johannes Carow

    (Johannes Gutenberg University Mainz)

  • Niklas M. Witzig

    (Johannes Gutenberg University Mainz)

Abstract

We study the impact of time pressure on strategic risk-taking of professional chess players. We propose a novel machine-learning-based measure for the degree of strategic risk of a single chess move and apply this measure to the 2013-2023 FIDE Chess World Cups that allow for plausibly exogenous variation in thinking time. Our results indicate that time pressure leads chess players to opt for more risk-averse moves. We additionally provide correlational evidence for strategic loss aversion, a tendency for risky moves after a mistake/ in a disadvantageous position. This suggests that high-proficiency decision-makers in highstake situations react to time pressure and contextual factors more broadly. We discuss the origins and implication of this finding in our setting.

Suggested Citation

  • Johannes Carow & Niklas M. Witzig, 2024. "Time Pressure and Strategic Risk-Taking in Professional Chess," Working Papers 2404, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  • Handle: RePEc:jgu:wpaper:2404
    as

    Download full text from publisher

    File URL: https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2404.pdf
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Strittmatter, Anthony & Sunde, Uwe & Zegners, Dainis, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Rationality and Competition Discussion Paper Series 317, CRC TRR 190 Rationality and Competition.
    2. Kocher, Martin G. & Sutter, Matthias, 2006. "Time is money--Time pressure, incentives, and the quality of decision-making," Journal of Economic Behavior & Organization, Elsevier, vol. 61(3), pages 375-392, November.
    3. Martin G. Kocher & Julius Pahlke & Stefan T. Trautmann, 2013. "Tempus Fugit : Time Pressure in Risky Decisions," Management Science, INFORMS, vol. 59(10), pages 2380-2391, October.
    4. Calford, Evan M., 2020. "Uncertainty aversion in game theory: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 720-734.
    5. Francis Larson & John List & Robert Metcalfe, 2016. "Can Myopic Loss Aversion Explain the Equity Premium Puzzle? Evidence from a Natural Field Experiment with Professional Traders," Natural Field Experiments 00534, The Field Experiments Website.
    6. Gränsmark, Patrik, 2012. "Masters of our time: Impatience and self-control in high-level chess games," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 179-191.
    7. Dreber, Anna & Gerdes, Christer & Gränsmark, Patrik, 2013. "Beauty queens and battling knights: Risk taking and attractiveness in chess," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 1-18.
    8. Lindner, Florian, 2014. "Decision time and steps of reasoning in a competitive market entry game," Economics Letters, Elsevier, vol. 122(1), pages 7-11.
    9. Steffen Künn & Christian Seel & Dainis Zegners, 2022. "Cognitive Performance in Remote Work: Evidence from Professional Chess," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1218-1232.
    10. Greg Howard, 2024. "A Check for Rational Inattention," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(1), pages 172-199.
    11. repec:cup:judgdm:v:17:y:2022:i:5:p:1072-1093 is not listed on IDEAS
    12. Devin G. Pope & Maurice E. Schweitzer, 2011. "Is Tiger Woods Loss Averse? Persistent Bias in the Face of Experience, Competition, and High Stakes," American Economic Review, American Economic Association, vol. 101(1), pages 129-157, February.
    13. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    14. Gerdes, Christer & Gränsmark, Patrik, 2010. "Strategic behavior across gender: A comparison of female and male expert chess players," Labour Economics, Elsevier, vol. 17(5), pages 766-775, October.
    15. Joris Klingen & Jos van Ommeren, 2020. "Risk attitude and air pollution: Evidence from chess," Tinbergen Institute Discussion Papers 20-027/VIII, Tinbergen Institute.
    16. Linnemer, Laurent & Visser, Michael, 2016. "Self-selection in tournaments: The case of chess players," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 213-234.
    17. 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..
    18. Garth Saloner, 1991. "Modeling, game theory, and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 12(S2), pages 119-136, December.
    19. Dilmaghani, Maryam, 2021. "A matter of time: Gender, time constraint, and risk taking among the chess elite," Economics Letters, Elsevier, vol. 208(C).
    20. Steven D. Levitt & John A. List & Sally E. Sadoff, 2011. "Checkmate: Exploring Backward Induction among Chess Players," American Economic Review, American Economic Association, vol. 101(2), pages 975-990, April.
    21. Emin Karagözoğlu & Martin G. Kocher, 2019. "Bargaining under time pressure from deadlines," Experimental Economics, Springer;Economic Science Association, vol. 22(2), pages 419-440, June.
    22. Stefan Steinerberger, 2015. "On the number of positions in chess without promotion," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 761-767, August.
    23. Peter Backus & Maria Cubel & Matej Guid & Santiago Sánchez‐Pagés & Enrique López Mañas, 2023. "Gender, competition, and performance: Evidence from chess players," Quantitative Economics, Econometric Society, vol. 14(1), pages 349-380, January.
    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. Dainis Zegners & Uwe Sunde & Anthony Strittmatter, 2020. "Decisions and Performance Under Bounded Rationality: A Computational Benchmarking Approach," CESifo Working Paper Series 8341, CESifo.
    2. Dilmaghani, Maryam, 2020. "Gender differences in performance under time constraint: Evidence from chess tournaments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    3. Bilen, Eren & Matros, Alexander, 2023. "The Queen's Gambit: Explaining the superstar effect using evidence from chess," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 307-324.
    4. Dilmaghani, Maryam, 2021. "The gender gap in competitive chess across countries: Commanding queens in command economies," Journal of Comparative Economics, Elsevier, vol. 49(2), pages 425-441.
    5. Linnemer, Laurent & Visser, Michael, 2016. "Self-selection in tournaments: The case of chess players," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 213-234.
    6. Dilmaghani, Maryam, 2022. "Chess girls don’t cry: Gender composition of games and effort in competitions among the super-elite," Journal of Economic Psychology, Elsevier, vol. 89(C).
    7. Jose De Sousa, "undated". "Peer competition: Evidence from 5- to 95-year-olds," French Stata Users' Group Meetings 2022 03, Stata Users Group.
    8. Niu, Xiaofei & Li, Jianbiao, 2019. "How Time Constraint Affects the Disposition Effect?," EconStor Preprints 194618, ZBW - Leibniz Information Centre for Economics.
    9. Peter Backus & Maria Cubel & Matej Guid & Santiago Sánchez‐Pagés & Enrique López Mañas, 2023. "Gender, competition, and performance: Evidence from chess players," Quantitative Economics, Econometric Society, vol. 14(1), pages 349-380, January.
    10. Bar-Eli, Michael & Krumer, Alex & Morgulev, Elia, 2020. "Ask not what economics can do for sports - Ask what sports can do for economics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    11. Peter Backus & Maria Cubel & Matej Guid & Santiago Sanchez-Pages & Enrique Lopez Manas, 2016. "Gender, Competition and Performance: Evidence from Real Tournaments," Economics Discussion Paper Series 1605, Economics, The University of Manchester.
    12. repec:hal:wpaper:hal-04071242 is not listed on IDEAS
    13. Li, Chen & Turmunkh, Uyanga & Wakker, Peter P., 2020. "Social and strategic ambiguity versus betrayal aversion," Games and Economic Behavior, Elsevier, vol. 123(C), pages 272-287.
    14. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2022. "Tempus fugit: The impact of time constraint on investor behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 67-81.
    15. Buckert, Magdalena & Oechssler, Jörg & Schwieren, Christiane, 2017. "Imitation under stress," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 252-266.
    16. Laurent Denant-Boemont & Olivier L’Haridon, 2013. "La rationalité à l'épreuve de l'économie comportementale," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 35-89.
    17. Nicholas Barberis & Lawrence J. Jin & Baolian Wang, 2021. "Prospect Theory and Stock Market Anomalies," Journal of Finance, American Finance Association, vol. 76(5), pages 2639-2687, October.
    18. Ilke Aydogan & Loïc Berger & Valentina Bosetti, 2023. "Unraveling Ambiguity Aversion," Post-Print hal-04370668, HAL.
    19. Aurélien Baillon & Zhenxing Huang & Asli Selim & Peter P. Wakker, 2018. "Measuring Ambiguity Attitudes for All (Natural) Events," Econometrica, Econometric Society, vol. 86(5), pages 1839-1858, September.
    20. Katharina Dowling & Daniel Guhl & Daniel Klapper & Martin Spann & Lucas Stich & Narine Yegoryan, 2020. "Behavioral biases in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 449-477, May.
    21. Frank, Björn & Krabel, Stefan, 2013. "Gens una sumus?!—Or does political ideology affect experts’ esthetic judgment of chess games?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 66-78.

    More about this item

    Keywords

    Chess; Risk; Time Pressure; Loss Aversion; Machine Learning;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:jgu:wpaper:2404. 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: Research Unit IPP (email available below). General contact details of provider: https://edirc.repec.org/data/vlmaide.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.