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A Futures Market Reduces Bubbles but Allows Greater Profit for More Sophisticated Traders

Author

Listed:
  • Charles N. Noussair
  • Steven J. Tucker
  • Yilong Yu

Abstract

We study the effect of the addition of a futures market, in which contracts maturing in the last period of the life of the asset can be traded. Our experiment has two treatments, one in which a spot market operates on its own, and a second treatment in which a spot and futures market are active simultaneously. We find that the futures market reduces spot market mispricing among a trader population prone to bubbles, while having no effect on mispricing in a group not prone to it. Thus, overall, futures markets aid price discovery in the spot market, although the futures markets themselves exhibit considerable overpricing. Individuals with higher cognitive reflection test (CRT) scores achieve greater earnings, as they tend to sell in the overpriced futures market, while traders with lower CRT score make purchases in the futures market. We also consider the predictive power of an enhanced CRT measure (ECRT), which weightstwo types of incorrect answers differently.

Suggested Citation

  • Charles N. Noussair & Steven J. Tucker & Yilong Yu, 2014. "A Futures Market Reduces Bubbles but Allows Greater Profit for More Sophisticated Traders," Experimental Economics Center Working Paper Series 2014-10, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    • Handle: RePEc:exc:wpaper:2014-10
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    1. is not listed on IDEAS
    2. Brice Corgnet & Mark DeSantis & David Porter, 2015. "What Makes a Good Trader? On the Role of Quant Skills, Behavioral Biases and Intuition on Trader Performance," Working Papers 15-17, Chapman University, Economic Science Institute.
    3. repec:hum:wpaper:sfb649dp2015-006 is not listed on IDEAS
    4. Kocher, Martin G. & Lucks, Konstantin E. & Schindler, David, 2016. "Unleashing Animal Spirits - Self-Control and Overpricing in Experimental Asset Markets," Discussion Papers in Economics 27572, University of Munich, Department of Economics.
    5. Ciril Bosch-Rosa & Thomas Meissner & Antoni Bosch-Domènech, 2018. "Cognitive bubbles," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 132-153, March.
    6. Brice Corgnet & Mark DeSantis & David Porter, 2020. "Information Aggregation and the Cognitive Make-up of Traders," Working Papers 20-18, Chapman University, Economic Science Institute.
    7. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Mata-Pérez, Esther & Ponti, Giovanni & Sartarelli, Marcello & Yu, Haihan & Zhukova, Vita, 2016. "Cognitive (ir)reflection: New experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 81-93.
    8. Miklánek, Tomáš & Zajíček, Miroslav, 2020. "Personal traits and trading in an experimental asset market," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 86(C).
    9. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    10. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    11. Utz Weitzel & Christoph Huber & Jürgen Huber & Michael Kirchler & Florian Lindner & Julia Rose & Lauren Cohen, 2020. "Bubbles and Financial Professionals," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2659-2696.
    12. Corgnet, Brice & Deck, Cary & DeSantis, Mark & Porter, David, 2018. "Information (non)aggregation in markets with costly signal acquisition," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 286-320.
    13. Brice Corgnet & Mark Desantis & David Porter, 2018. "What Makes a Good Trader? On the Role of Intuition and Reflection on Trader Performance," Journal of Finance, American Finance Association, vol. 73(3), pages 1113-1137, June.
    14. Brice Corgnet & Mark DeSantis & David Porter, 2024. "Let’s Chat… When Communication Promotes Efficiency in Experimental Asset Markets," Management Science, INFORMS, vol. 70(10), pages 6550-6568, October.
    15. Andreas Hefti & Steve Heinke & Frédéric Schneider, 2016. "Mental capabilities, trading styles, and asset market bubbles: theory and experiment," ECON - Working Papers 234, Department of Economics - University of Zurich.
    16. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    17. Corgnet, Brice & DeSantis, Mark & Porter, David, 2021. "Information aggregation and the cognitive make-up of market participants," European Economic Review, Elsevier, vol. 133(C).
    18. Owen Powell & Natalia Shestakova, 2017. "Experimental asset markets: behavior and bubbles," Chapters, in: Morris Altman (ed.), Handbook of Behavioural Economics and Smart Decision-Making, chapter 21, pages 375-391, Edward Elgar Publishing.
    19. Jimenez, Natalia & Rodriguez-Lara, Ismael & Tyran, Jean-Robert & Wengström, Erik, 2018. "Thinking fast, thinking badly," Economics Letters, Elsevier, vol. 162(C), pages 41-44.
    20. Lucks, Konstantin, 2016. "The Impact of Self-Control on Investment Decisions," MPRA Paper 73099, University Library of Munich, Germany.
    21. Brice Corgnet & Mark DeSantis & David Porter, 2015. "Revisiting Information Aggregation in Asset Markets: Reflective Learning & Market Efficiency," Working Papers 15-15, Chapman University, Economic Science Institute.

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    Keywords

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    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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