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Behavioral uncertainty and the dynamics of traders’ confidence in their price forecasts

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  • Hanaki, Nobuyuki
  • Akiyama, Eizo
  • Ishikawa, Ryuichiro

Abstract

By how much does the presence of behavioral uncertainty in an experimental asset market reduce subjects’ confidence in their price forecasts? An incentivized interval forecast elicitation method is employed to answer this question. Each market consists of six traders, and the value of dividends is known. Two treatments are considered: six human traders (6H), and one human interacting with five computer traders whose behavior is known (1H5C). We find that while the deviation of the initial price forecasts from fundamental value is smaller in the 1H5C treatment than in the 6H treatment, albeit not statistically significantly, the average confidence regarding the forecasts is not. We further analyze the relationships between subjects’ confidence in their forecasts and their trading behavior, as well as their trading performance, in the 6H treatment. While subjects’ high confidence in their short-term forecasts shows a negative correlation with their trading performance, high confidence in their long-term forecasts shows a positive correlation with trading performance.

Suggested Citation

  • Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Behavioral uncertainty and the dynamics of traders’ confidence in their price forecasts," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 121-136.
    • Handle: RePEc:eee:dyncon:v:88:y:2018:i:c:p:121-136
    DOI: 10.1016/j.jedc.2018.01.020
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    Cited by:

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    2. Penalver, Adrian & Hanaki, Nobuyuki & Akiyama, Eizo & Funaki, Yukihiko & Ishikawa, Ryuichiro, 2020. "A quantitative easing experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    3. Aragón, Nicolás & Roulund, Rasmus Pank, 2020. "Confidence and decision-making in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 688-718.
    4. Yin, Xile & Li, Jianbiao & Bao, Te, 2019. "Does overconfidence promote cooperation? Theory and experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 79(C), pages 119-133.
    5. Hubert J. Kiss & Laszlo A. Koczy & Agnes Pinter & Balazs R. Sziklai, 2019. "Does risk sorting explain bubbles?," CERS-IE WORKING PAPERS 1905, Institute of Economics, Centre for Economic and Regional Studies.
    6. Adrian Penalver, Nobuyuki Hanaki, Eizo Akiyama, Yukihiko Funaki, Ryuichiro Ishikawa, 2018. "An Experimental Analysis Of The Effect Of Quantitative Easing," Working papers 684, Banque de France.
    7. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    8. Te Bao & Elizaveta Nekrasova & Tibor Neugebauer & Yohanes E. Riyanto, 2022. "Algorithmic trading in experimental markets with human traders: A literature survey," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 23, pages 302-322, Edward Elgar Publishing.
    9. Kiss, Hubert J. & Kóczy, László Á. & Pintér, Ágnes & Sziklai, Balázs R., 2022. "Does risk sorting explain overpricing in experimental asset markets?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).

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    More about this item

    Keywords

    Price forecasts; Interval elicitation; Experimental asset markets; Behavioral uncertainty;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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