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      In the Mind of the Market: Theory of Mind Biases Value Computation during Financial Bubbles

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          Summary

          The ability to infer intentions of other agents, called theory of mind (ToM), confers strong advantages for individuals in social situations. Here, we show that ToM can also be maladaptive when people interact with complex modern institutions like financial markets. We tested participants who were investing in an experimental bubble market, a situation in which the price of an asset is much higher than its underlying fundamental value. We describe a mechanism by which social signals computed in the dorsomedial prefrontal cortex affect value computations in ventromedial prefrontal cortex, thereby increasing an individual’s propensity to ‘ride’ financial bubbles and lose money. These regions compute a financial metric that signals variations in order flow intensity, prompting inference about other traders’ intentions. Our results suggest that incorporating inferences about the intentions of others when making value judgments in a complex financial market could lead to the formation of market bubbles.

          Highlights

          • Theory of mind can be maladaptive in complex institutions like financial markets

          • Dorsomedial prefrontal cortex biases signals in ventromedial prefrontal cortex

          • Both regions compute financial metric signals

          • Incorporating inferences about the intentions of others could lead to market bubbles

          Abstract

          De Martino demonstrates that the ability to infer the intentions and mental states of other individuals (“theory of mind”) biases evaluation when people interact with complex modern institutions like financial markets, contributing to the formation of economics bubbles.

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          Most cited references45

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          Gender differences in risk taking: A meta-analysis.

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            Self-control in decision-making involves modulation of the vmPFC valuation system.

            Every day, individuals make dozens of choices between an alternative with higher overall value and a more tempting but ultimately inferior option. Optimal decision-making requires self-control. We propose two hypotheses about the neurobiology of self-control: (i) Goal-directed decisions have their basis in a common value signal encoded in ventromedial prefrontal cortex (vmPFC), and (ii) exercising self-control involves the modulation of this value signal by dorsolateral prefrontal cortex (DLPFC). We used functional magnetic resonance imaging to monitor brain activity while dieters engaged in real decisions about food consumption. Activity in vmPFC was correlated with goal values regardless of the amount of self-control. It incorporated both taste and health in self-controllers but only taste in non-self-controllers. Activity in DLPFC increased when subjects exercised self-control and correlated with activity in vmPFC.
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              The neural basis of financial risk taking.

              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.
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                Author and article information

                Journal
                Neuron
                Neuron
                Neuron
                Cell Press
                0896-6273
                1097-4199
                18 September 2013
                18 September 2013
                : 79
                : 6
                : 1222-1231
                Affiliations
                [1 ]Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA
                [2 ]Department of Psychology, Royal Holloway University, London TW20 0EX, UK
                [3 ]Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA
                [4 ]Department of Finance, David Eccles School of Business, University of Utah, Salt Lake City, UT 84112, USA
                Author notes
                []Corresponding author benedettodemartino@ 123456gmail.com
                Article
                S0896-6273(13)00568-0
                10.1016/j.neuron.2013.07.003
                3781325
                24050407
                b8468a14-069f-49fa-9cfb-dd2b17fb8c2e
                © 2013 The Authors

                This document may be redistributed and reused, subject to certain conditions.

                History
                : 1 July 2013
                Categories
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                Neurosciences
                Neurosciences

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