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The role of hormones in financial markets

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  • Bose, Subir
  • Ladley, Daniel
  • Li, Xin

Abstract

Steroid hormones, such as testosterone, have been shown to affect risk preferences in financial traders with high levels leading to excessive risk-taking. Hormone levels, in turn, are affected by trading outcomes as well as by gender - males are more sensitive to stimuli than females. We develop a model to investigate the effects of hormones on financial market stability and trader performance. An increase in the proportion of female traders does not necessarily make markets less volatile; however, it reduces the occurrence of market crashes. Male traders on average under-perform females, although the best performing individuals are more likely to be male.

Suggested Citation

  • Bose, Subir & Ladley, Daniel & Li, Xin, 2020. "The role of hormones in financial markets," International Review of Financial Analysis, Elsevier, vol. 67(C).
  • Handle: RePEc:eee:finana:v:67:y:2020:i:c:s1057521918307890
    DOI: 10.1016/j.irfa.2019.101434
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    as
    1. Filippin, Antonio & Gioia, Francesca, 2018. "Competition and subsequent risk-taking behaviour: Heterogeneity across gender and outcomes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 84-94.
    2. Leonid Kogan & Stephen A. Ross & Jiang Wang & Mark M. Westerfield, 2006. "The Price Impact and Survival of Irrational Traders," Journal of Finance, American Finance Association, vol. 61(1), pages 195-229, February.
    3. Holt, Charles A. & Porzio, Megan & Song, Michelle Yingze, 2017. "Price bubbles, gender, and expectations in experimental asset markets," European Economic Review, Elsevier, vol. 100(C), pages 72-94.
    4. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    5. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    6. Arvid O. I. Hoffmann & Thomas Post & Tom Smith, 2017. "How return and risk experiences shape investor beliefs and preferences," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 759-788, September.
    7. Harjoat S. Bhamra & Raman Uppal, 2014. "Asset Prices with Heterogeneity in Preferences and Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 27(2), pages 519-580.
    8. Francis A. Longstaff & Jiang Wang, 2012. "Asset Pricing and the Credit Market," The Review of Financial Studies, Society for Financial Studies, vol. 25(11), pages 3169-3215.
    9. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    10. Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
    11. John Y. Campbell & Albert S. Kyle, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 1-34.
    12. Joop Hartog & Ada Ferrer‐i‐Carbonell & Nicole Jonker, 2002. "Linking Measured Risk Aversion to Individual Characteristics," Kyklos, Wiley Blackwell, vol. 55(1), pages 3-26.
    13. Allen, Helen & Taylor, Mark P, 1990. "Charts, Noise and Fundamentals in the London Foreign Exchange Market," Economic Journal, Royal Economic Society, vol. 100(400), pages 49-59, Supplemen.
    14. John M Coates & Lionel Page, 2009. "A Note on Trader Sharpe Ratios," PLOS ONE, Public Library of Science, vol. 4(11), pages 1-5, November.
    15. Cueva, Carlos & Rustichini, Aldo, 2015. "Is financial instability male-driven? Gender and cognitive skills in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 330-344.
    16. Saacke, Peter, 2002. "Technical analysis and the effectiveness of central bank intervention," Journal of International Money and Finance, Elsevier, vol. 21(4), pages 459-479, August.
    17. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    18. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
    19. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    20. Catherine C. Eckel & Sascha C. Füllbrunn, 2015. "Thar SHE Blows? Gender, Competition, and Bubbles in Experimental Asset Markets," American Economic Review, American Economic Association, vol. 105(2), pages 906-920, February.
    21. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    22. Chiarella, Carl & Dieci, Roberto & Gardini, Laura, 2006. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1755-1786.
    23. Dimitri Vayanos, 2001. "Strategic Trading in a Dynamic Noisy Market," Journal of Finance, American Finance Association, vol. 56(1), pages 131-171, February.
    24. Ming Guo & Hui Ou-Yang, 2015. "Feedback Trading between Fundamental and Nonfundamental Information," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 247-296.
    25. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    26. repec:oup:rfinst:v:25:y::i:11:p:3169-3215 is not listed on IDEAS
    27. Georgy Chabakauri, 2013. "Dynamic Equilibrium with Two Stocks, Heterogeneous Investors, and Portfolio Constraints," The Review of Financial Studies, Society for Financial Studies, vol. 26(12), pages 3104-3141.
    28. Thomas Buser, 2011. "Hormones and Social Preferences," Tinbergen Institute Discussion Papers 11-046/3, Tinbergen Institute.
    29. Spiegel, Matthew & Subrahmanyam, Avanidhar, 1992. "Informed Speculation and Hedging in a Noncompetitive Securities Market," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 307-329.
    30. Hoffmann, Arvid O.I. & Shefrin, Hersh, 2014. "Technical analysis and individual investors," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 487-511.
    31. Carl Chiarella, 1992. "The Dynamics of Speculative Behaviour," Working Paper Series 13, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
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    More about this item

    Keywords

    Gender; Hormones; Endogenous risk preference; Market stability; Trader performance;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact

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