Irrational exuberance and neural crash warning signals during endogenous experimental market bubbles

Significance Asset price bubbles are an important example of human group decision making gone awry, but the behavioral and neural underpinnings of bubble dynamics remain mysterious. In multisubject markets determined by 11–23 subjects, with 2–3 subjects simultaneously scanned using functional MRI, we show how behavior and brain activity interact during bubbles. Nucleus accumbens (NAcc) activity tracks the price bubble and predicts future price changes. Traders who buy more aggressively based on NAcc signals earn less. High-earning traders have early warning signals in the anterior insular cortex before prices reach a peak, and sell coincidently with that signal, precipitating the crash. These experiments could help understand other cases in which human groups badly miscompute the value of actions or events. Groups of humans routinely misassign value to complex future events, especially in settings involving the exchange of resources. If properly structured, experimental markets can act as excellent probes of human group-level valuation mechanisms during pathological overvaluations—price bubbles. The connection between the behavioral and neural underpinnings of such phenomena has been absent, in part due to a lack of enabling technology. We used a multisubject functional MRI paradigm to measure neural activity in human subjects participating in experimental asset markets in which endogenous price bubbles formed and crashed. Although many ideas exist about how and why such bubbles may form and how to identify them, our experiment provided a window on the connection between neural responses and behavioral acts (buying and selling) that created the bubbles. We show that aggregate neural activity in the nucleus accumbens (NAcc) tracks the price bubble and that NAcc activity aggregated within a market predicts future price changes and crashes. Furthermore, the lowest-earning subjects express a stronger tendency to buy as a function of measured NAcc activity. Conversely, we report a signal in the anterior insular cortex in the highest earners that precedes the impending price peak, is associated with a higher propensity to sell in high earners, and that may represent a neural early warning signal in these subjects. Such markets could be a model system to understand neural and behavior mechanisms in other settings where emergent group-level activity exhibits mistaken belief or valuation.

[1]  Joseph W. Kable,et al.  The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value , 2013, NeuroImage.

[2]  A. Lo Fear, Greed, and Financial Crises: A Cognitive Neurosciences Perspective , 2011 .

[3]  R. Shiller Irrational Exuberance Ed. 2 , 2005 .

[4]  H. Critchley,et al.  Neural systems supporting interoceptive awareness , 2004, Nature Neuroscience.

[5]  S. Dehaene,et al.  A Magnitude Code Common to Numerosities and Number Symbols in Human Intraparietal Cortex , 2007, Neuron.

[6]  Fear, Greed, and Financial Crises: A Cognitive Neurosciences Perspective , 2011 .

[7]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[8]  Terry Lohrenz,et al.  Sub-Second Dopamine Detection in Human Striatum , 2011, PloS one.

[9]  C. Zanocco Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism , 2010 .

[10]  Robert P. Flood,et al.  Market Fundamentals versus Price-Level Bubbles: The First Tests , 1980, Journal of Political Economy.

[11]  Russell A. Poldrack,et al.  Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.

[12]  Hersh Shefrin,et al.  Beyond Greed and Fear , 2002 .

[13]  Martin Dufwenberg,et al.  Bubbles and Experience: An Experiment , 2005 .

[14]  J. Brewer,et al.  The neurobiology and genetics of impulse control disorders: relationships to drug addictions. , 2008, Biochemical pharmacology.

[15]  Kevin McCabe,et al.  Neural signature of fictive learning signals in a sequential investment task , 2007, Proceedings of the National Academy of Sciences.

[16]  C. Plott,et al.  Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets , 1988 .

[17]  Colin Camerer,et al.  In the Mind of the Market: Theory of Mind Biases Value Computation during Financial Bubbles , 2013, Neuron.

[18]  Kerry Back,et al.  Asset Pricing and Portfolio Choice Theory , 2010 .

[19]  P. Dayan,et al.  A framework for mesencephalic dopamine systems based on predictive Hebbian learning , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[20]  M. Kirchler,et al.  Thar She Bursts: Reducing Confusion Reduces Bubbles , 2012 .

[21]  Jonathan D. Cohen,et al.  Computational roles for dopamine in behavioural control , 2004, Nature.

[22]  George A. Akerlof,et al.  Animal spirits : how human psychology drives the economy, and why it matters for global capitalism : with a new preface by the authors , 2010 .

[23]  Jonathan D. Levin Bubbles and Crashes , 2006 .

[24]  Frederic S. Mishkin Central Banking in a Democratic Society , 1999 .

[25]  J. Huber,et al.  Bubble measures in experimental asset markets , 2010 .

[26]  R. Turner,et al.  Event-Related fMRI: Characterizing Differential Responses , 1998, NeuroImage.

[27]  Laura Veldkamp,et al.  Media Frenzies in Markets for Financial Information , 2003 .

[28]  A. Craig,et al.  How do you feel — now? The anterior insula and human awareness , 2009, Nature Reviews Neuroscience.

[29]  Peter N. C. Mohr,et al.  Neural Processing of Risk , 2010, The Journal of Neuroscience.

[30]  Jeffrey M. Wooldridge,et al.  Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data , 2003 .

[31]  J. Goeree,et al.  Inefficient Markets , 2012 .

[32]  Charles A. Holt,et al.  Price Bubbles with Discounting: A Web-Based Classroom Experiment , 2009 .

[33]  N. Daw,et al.  Signals in Human Striatum Are Appropriate for Policy Update Rather than Value Prediction , 2011, The Journal of Neuroscience.

[34]  Mingxi Wang,et al.  Investor Sentiment and the Cross-Section of Stock Returns , 2009 .

[35]  Camelia M. Kuhnen,et al.  The Neural Basis of Financial Risk Taking , 2005, Neuron.

[36]  V. Smith,et al.  Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets , 1988 .

[37]  S. Quartz,et al.  Neural Differentiation of Expected Reward and Risk in Human Subcortical Structures , 2006, Neuron.

[38]  S. Quartz,et al.  Human Insula Activation Reflects Risk Prediction Errors As Well As Risk , 2008, The Journal of Neuroscience.

[39]  Utpal Bhattacharya,et al.  The Role of the Media in the Internet IPO Bubble , 2007, Journal of Financial and Quantitative Analysis.

[40]  Janine Priolli Corporate governance and capital flows in a global economy , 2006 .

[41]  C. Noussair,et al.  The effect of short-selling on bubbles and crashes in experimental spot asset markets , 2006 .

[42]  W. Lewis,et al.  Manias, Panics and Crashes: A History of Financial Crises , 1979 .

[43]  Alexander Dyck,et al.  The Bubble and the Media , 2002 .

[44]  R Saxe,et al.  People thinking about thinking people The role of the temporo-parietal junction in “theory of mind” , 2003, NeuroImage.