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The Affective Impact of Financial Skewness on Neural Activity and Choice

Overview of attention for article published in PLOS ONE, February 2011
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Title
The Affective Impact of Financial Skewness on Neural Activity and Choice
Published in
PLOS ONE, February 2011
DOI 10.1371/journal.pone.0016838
Pubmed ID
Authors

Charlene C. Wu, Peter Bossaerts, Brian Knutson

Abstract

Few finance theories consider the influence of "skewness" (or large and asymmetric but unlikely outcomes) on financial choice. We investigated the impact of skewed gambles on subjects' neural activity, self-reported affective responses, and subsequent preferences using functional magnetic resonance imaging (FMRI). Neurally, skewed gambles elicited more anterior insula activation than symmetric gambles equated for expected value and variance, and positively skewed gambles also specifically elicited more nucleus accumbens (NAcc) activation than negatively skewed gambles. Affectively, positively skewed gambles elicited more positive arousal and negatively skewed gambles elicited more negative arousal than symmetric gambles equated for expected value and variance. Subjects also preferred positively skewed gambles more, but negatively skewed gambles less than symmetric gambles of equal expected value. Individual differences in both NAcc activity and positive arousal predicted preferences for positively skewed gambles. These findings support an anticipatory affect account in which statistical properties of gambles--including skewness--can influence neural activity, affective responses, and ultimately, choice.

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Geographical breakdown

Country Count As %
United States 4 4%
Switzerland 1 <1%
France 1 <1%
Netherlands 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 96 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 33%
Researcher 15 14%
Student > Master 13 12%
Student > Doctoral Student 7 7%
Professor > Associate Professor 5 5%
Other 16 15%
Unknown 14 13%
Readers by discipline Count As %
Psychology 36 34%
Neuroscience 12 11%
Economics, Econometrics and Finance 11 10%
Agricultural and Biological Sciences 8 8%
Business, Management and Accounting 6 6%
Other 12 11%
Unknown 20 19%