Neural foundations of risk-return trade-off in investment decisions
被引:37
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作者:
Mohr, Peter N. C.
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Max Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
Berlin Neuroimaging Ctr, Berlin, Germany
Neurosci Res Ctr, Berlin, Germany
Max Planck Inst Human Cognit & Brain Sci, Leipzig, GermanyMax Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
Mohr, Peter N. C.
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Biele, Guido
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机构:
Berlin Neuroimaging Ctr, Berlin, Germany
Neurosci Res Ctr, Berlin, Germany
Max Planck Inst Human Cognit & Brain Sci, Leipzig, GermanyMax Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
Biele, Guido
[2
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Krugel, Lea K.
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机构:
Berlin Neuroimaging Ctr, Berlin, Germany
Neurosci Res Ctr, Berlin, Germany
Max Planck Inst Human Cognit & Brain Sci, Leipzig, GermanyMax Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
Krugel, Lea K.
[2
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Li, Shu-Chen
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机构:
Berlin Neuroimaging Ctr, Berlin, Germany
Neurosci Res Ctr, Berlin, GermanyMax Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
Li, Shu-Chen
[2
,3
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Heekeren, Hauke R.
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机构:
Berlin Neuroimaging Ctr, Berlin, Germany
Neurosci Res Ctr, Berlin, Germany
Max Planck Inst Human Cognit & Brain Sci, Leipzig, GermanyMax Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
Heekeren, Hauke R.
[2
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机构:
[1] Max Planck Inst Human Dev & Educ, Neurocognit Decis Making Grp, D-14195 Berlin, Germany
[2] Berlin Neuroimaging Ctr, Berlin, Germany
[3] Neurosci Res Ctr, Berlin, Germany
[4] Max Planck Inst Human Cognit & Brain Sci, Leipzig, Germany
Many decisions people make can be described as decisions under risk Understanding the mechanisms that drive these decisions is an important pal in decision neuroscience Two competing classes of risky decision making models have been proposed to describe human behavior, namely Utility-based models and risk-return models Here we used a novel investment decision task that uses streams of (past) returns as stimuli to investigate how consistent the two classes of models are with the neurobiological processes underlying investment decisions (where outcomes usually follow continuous distributions). By showing (a) that risk-return models can explain choices behaviorally and (b) that the components of risk-return models (value. risk, and risk attitude) are represented in the brain during choices, we provide evidence that risk-return models describe the neural processes underlying investment decisions well Most importantly, the observed correlation between risk and brain activity in the anterior insula during choices supports risk-return models more than utility-based models because risk is an explicit component of risk-return models but not of the utility-based models (C) 2009 Elsevier Inc. All rights reserved
机构:Univ Calif Los Angeles, John E Anderson Grad Sch Management, Los Angeles, CA 90095 USA
Ghysels, E
Santa-Clara, P
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机构:Univ Calif Los Angeles, John E Anderson Grad Sch Management, Los Angeles, CA 90095 USA
Santa-Clara, P
Valkanov, R
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机构:
Univ Calif Los Angeles, John E Anderson Grad Sch Management, Los Angeles, CA 90095 USAUniv Calif Los Angeles, John E Anderson Grad Sch Management, Los Angeles, CA 90095 USA
机构:
Hanyang Univ, Coll Business & Econ, Ansan 15588, Gyeonggi Do, South KoreaHanyang Univ, Coll Business & Econ, Ansan 15588, Gyeonggi Do, South Korea
Lee, Eun Jung
Lee, Yu Kyung
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机构:
Seoul Natl Univ, Inst Finance & Banking, Sch Business, Seoul 08826, South Korea
Seoul Natl Univ, Sch Business, Seoul, South KoreaHanyang Univ, Coll Business & Econ, Ansan 15588, Gyeonggi Do, South Korea