Literature DB >> 19033233

Understanding risk: a guide for the perplexed.

Paul W Glimcher1.   

Abstract

Over the course of the past decade, neurobiologists have become increasingly interested in concepts and models imported from economics. Terms such as "risk," "risk aversion," and "utility" have become commonplace in the neuroscientific literature as single-unit physiologists and human cognitive neuroscientists search for the biological correlates of economic theories of value and choice. Among neuroscientists, an incomplete understanding of these concepts has, however, led to a growing confusion that threatens to check the rapid advances in this area. Adding to the confusion, notions of risk have more recently been imported from finance, which employs quite different, although formally related, mathematical tools. Of course, the mixing of economic, financial, and neuroscientific traditions can only be beneficial in the long run, but truly understanding the conceptual machinery of each area is a prerequisite for obtaining that benefit. With that in mind, I present here an overview of economic and financial notions of risk and decision. The article begins with an overview of the classical economic approach to risk, as developed by Bernoulli. It then explains the important differences between the classical tradition and modern neoclassical economic approaches to these same concepts. Finally, I present a very brief overview of the financial tradition and its relation to the economic tradition. For novices, this should provide a reasonable introduction to concepts ranging from "risk aversion" to "risk premiums."

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Year:  2008        PMID: 19033233     DOI: 10.3758/CABN.8.4.348

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  1 in total

1.  Neural differentiation of expected reward and risk in human subcortical structures.

Authors:  Kerstin Preuschoff; Peter Bossaerts; Steven R Quartz
Journal:  Neuron       Date:  2006-08-03       Impact factor: 17.173

  1 in total
  18 in total

1.  Interdisciplinary perspectives on decision making.

Authors:  Tobias Kalenscher; Philippe N Tobler
Journal:  Cogn Affect Behav Neurosci       Date:  2008-12       Impact factor: 3.282

2.  Amygdala Functional and Structural Connectivity Predicts Individual Risk Tolerance.

Authors:  Wi Hoon Jung; Sangil Lee; Caryn Lerman; Joseph W Kable
Journal:  Neuron       Date:  2018-04-05       Impact factor: 17.173

Review 3.  Neural underpinnings of maladaptive decision-making in addictions.

Authors:  Zoe Guttman; Scott J Moeller; Edythe D London
Journal:  Pharmacol Biochem Behav       Date:  2017-06-27       Impact factor: 3.533

4.  Thirst-dependent risk preferences in monkeys identify a primitive form of wealth.

Authors:  Hiroshi Yamada; Agnieszka Tymula; Kenway Louie; Paul W Glimcher
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-09       Impact factor: 11.205

5.  Single- and cross-commodity discounting among cocaine addicts: the commodity and its temporal location determine discounting rate.

Authors:  Warren K Bickel; Reid D Landes; Darren R Christensen; Lisa Jackson; Bryan A Jones; Zeb Kurth-Nelson; A David Redish
Journal:  Psychopharmacology (Berl)       Date:  2011-04-14       Impact factor: 4.530

6.  Measuring the subjective value of risky and ambiguous options using experimental economics and functional MRI methods.

Authors:  Ifat Levy; Lior Rosenberg Belmaker; Kirk Manson; Agnieszka Tymula; Paul W Glimcher
Journal:  J Vis Exp       Date:  2012-09-19       Impact factor: 1.355

7.  The role of pedunculopontine nucleus in choice behavior under risk.

Authors:  Mona Leblond; Tatyana Sukharnikova; Chunxiu Yu; Mark A Rossi; Henry H Yin
Journal:  Eur J Neurosci       Date:  2014-03-12       Impact factor: 3.386

8.  Adolescent Decision-Making Under Risk: Neural Correlates and Sex Differences.

Authors:  Ozlem Korucuoglu; Michael P Harms; James T Kennedy; Semyon Golosheykin; Serguei V Astafiev; Deanna M Barch; Andrey P Anokhin
Journal:  Cereb Cortex       Date:  2020-04-14       Impact factor: 5.357

9.  Emotion and decision-making under uncertainty: Physiological arousal predicts increased gambling during ambiguity but not risk.

Authors:  Oriel FeldmanHall; Paul Glimcher; Augustus L Baker; Elizabeth A Phelps
Journal:  J Exp Psychol Gen       Date:  2016-10

Review 10.  Neural mechanisms of acquired phasic dopamine responses in learning.

Authors:  Thomas E Hazy; Michael J Frank; Randall C O'Reilly
Journal:  Neurosci Biobehav Rev       Date:  2009-11-26       Impact factor: 8.989

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