2015
DOI: 10.2139/ssrn.2577867
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Speculative Bubbles - An Introduction and Application of the Speculation Elicitation Task (SET)

Abstract: We introduce the speculation elicitation task (SET) to measure speculative tendencies of individuals. The resulting SET-score allows us to investigate the role of individual speculative behavior on experimental asset market bubbles. The experimental results show that overpricing in asset markets composed of subjects with a high propensity to speculate (high SET-score) is signicantly higher than in markets composed of subjects with a low propensity to speculate (low SET-score). We conclude that speculative tend… Show more

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Cited by 6 publications
(3 citation statements)
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“…For example, participants scoring well in the cognitive reflection test (Frederick 2005) achieve higher profits in laboratory spot markets (Corgnet et al 2013), and in spot markets with an added futures market (Noussair, Tucker, and Xu 2014); their trading style is less focused on momentum and more on fundamental value (Baghestanian, Lugovskyy, and Puzzello 2012). On the other hand, Bruguier, Quartz, and Bossaerts (2010) do not find that cognitive ability is related to the ability to correctly predict asset prices, and Janssen, Weitzel, and Füllbrunn (2015) find no correlation between CRT and behavior in their speculation task. Concerning aggregate outcomes, markets with traders exhibiting higher average analytical abilities produce lower price volatility (Breaban and Noussair 2015;Cueva and Rustichini 2015).…”
Section: Related Literaturementioning
confidence: 84%
“…For example, participants scoring well in the cognitive reflection test (Frederick 2005) achieve higher profits in laboratory spot markets (Corgnet et al 2013), and in spot markets with an added futures market (Noussair, Tucker, and Xu 2014); their trading style is less focused on momentum and more on fundamental value (Baghestanian, Lugovskyy, and Puzzello 2012). On the other hand, Bruguier, Quartz, and Bossaerts (2010) do not find that cognitive ability is related to the ability to correctly predict asset prices, and Janssen, Weitzel, and Füllbrunn (2015) find no correlation between CRT and behavior in their speculation task. Concerning aggregate outcomes, markets with traders exhibiting higher average analytical abilities produce lower price volatility (Breaban and Noussair 2015;Cueva and Rustichini 2015).…”
Section: Related Literaturementioning
confidence: 84%
“…Other studies have measured the effects of individual trader traits, such as gender (Eckel and Füllbrunn 2015), business experience (Smith et al 1993), cognitive abilities (Bosch-Rosa et al 2015), overconfidence (Biais et al 2005, Michailova andSchmidt 2016), their own and others' irrationality (Cheung et al 2014, Hargreaves Heap andZizzo 2012), and an individual proclivity to speculate (Janssen et al 2015) on prices and trading patterns. Further, to quantify the effects of traders' psychological states on prices and trading behavior, recent studies have manipulated emotion (Andrade et al 2015, Lahav andMeer 2012) and confusion (Kirchler et al 2012).…”
Section: Experimental Financial Marketsmentioning
confidence: 99%
“…In fact, experimental tests show that individuals who speculate a lot in this game also produce stronger bubbles and crashes in more realistic and dynamic double auction trading environments (Janssen et al, 2015).…”
mentioning
confidence: 98%