2015
DOI: 10.1108/rbf-09-2015-0037
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Behavioral finance: insights from experiments II: biases, moods and emotions

Abstract: This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License Newcastle University ePrints-eprint.ncl.ac.uk Duxbury D. Behavioral finance: insights from experiments II: biases, moods and emotions. Review of Behavioral Finance 2015, 7(2), 151-175.

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Cited by 49 publications
(33 citation statements)
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“…Again in the context of portfolio decisions, Brown and Kagel (2009) note that their experimental design allows them to investigate behavior while controlling for the confounding effects of tax incentives, agency problems, transaction costs etc.. Perhaps the most potent weapon at the hands of the experimenter is the ability to manipulate the levels of treatment factors thus allowing causal tests of the relationship between variables of theoretical interest, and so moving beyond the correlational analysis possible in studies based on proxies of unobserved behavior. As will be seen in the companion paper, Duxbury (2015), this has been particularly enlightening in studies of the effect of overconfidence on financial behavior.…”
Section: Introductionmentioning
confidence: 90%
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“…Again in the context of portfolio decisions, Brown and Kagel (2009) note that their experimental design allows them to investigate behavior while controlling for the confounding effects of tax incentives, agency problems, transaction costs etc.. Perhaps the most potent weapon at the hands of the experimenter is the ability to manipulate the levels of treatment factors thus allowing causal tests of the relationship between variables of theoretical interest, and so moving beyond the correlational analysis possible in studies based on proxies of unobserved behavior. As will be seen in the companion paper, Duxbury (2015), this has been particularly enlightening in studies of the effect of overconfidence on financial behavior.…”
Section: Introductionmentioning
confidence: 90%
“…The aim, here and in a companion paper (Duxbury, 2015), is to review the insights provided by experimental studies examining financial decisions and market behaviour.…”
Section: Purposementioning
confidence: 99%
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“…The third approach to approximate the level of a CEO's overconfidence is to measure the volatilities of the price and trading volume of a company's shares [12]. It is assumed that an overconfident CEO can attract shortterm investors and noise traders who are willing to accept higher risks.…”
Section: Literature Reviewmentioning
confidence: 99%