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Neuron
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Neuron
Article . 2005
License: Elsevier Non-Commercial
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Neuron
Article . 2005 . Peer-reviewed
License: Elsevier Non-Commercial
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The Neural Basis of Financial Risk Taking

Authors: Camelia Kuhnen; Brian Knutson;

The Neural Basis of Financial Risk Taking

Abstract

Investors systematically deviate from rationality when making financial decisions, yet the mechanisms responsible for these deviations have not been identified. Using event-related fMRI, we examined whether anticipatory neural activity would predict optimal and suboptimal choices in a financial decision-making task. We characterized two types of deviations from the optimal investment strategy of a rational risk-neutral agent as risk-seeking mistakes and risk-aversion mistakes. Nucleus accumbens activation preceded risky choices as well as risk-seeking mistakes, while anterior insula activation preceded riskless choices as well as risk-aversion mistakes. These findings suggest that distinct neural circuits linked to anticipatory affect promote different types of financial choices and indicate that excessive activation of these circuits may lead to investing mistakes. Thus, consideration of anticipatory neural mechanisms may add predictive power to the rational actor model of economic decision making.

Keywords

Adult, Male, Economics, Neuroscience(all), Individuality, Prefrontal Cortex, Choice Behavior, Magnetic Resonance Imaging, Nucleus Accumbens, Logistic Models, Risk-Taking, Image Interpretation, Computer-Assisted, Humans, neuroeconomics, neurofinance, brain, investing, emotions, affect, Female, Nerve Net, jel: jel:D81, jel: jel:C91, jel: jel:D84, jel: jel:D83, jel: jel:G11

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
933
Top 0.1%
Top 0.1%
Top 0.1%
hybrid