Evidence map›Paper›PMID 25453072›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

The origin of risk aversion.

Ruixun Zhang, Thomas J Brennan, Andrew W Lo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Evolutionarily Optimal Risk Aversion.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Evolved attitudes to risk and the demand for equity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Risky business: linkingProceedings. Biological sciences · 2018
    Article
  18. Article
  19. Article
  20. A marker of biological ageing predicts adult risk preference in European starlings,Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ruixun ZhangDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139;
Thomas J BrennanSchool of Law, Northwestern University, Chicago, IL 60611-3069;
Andrew W LoSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142; and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139 andrew.lo@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk aversion is one of the most basic assumptions of economic behavior, but few studies have addressed the question of where risk preferences come from and why they differ from one individual to the next. Here, we propose an evolutionary explanation for the origin of risk aversion. In the context of a simple binary-choice model, we show that risk aversion emerges by natural selection if reproductive risk is systematic (i.e., correlated across individuals in a given generation). In contrast, risk neutrality emerges if reproductive risk is idiosyncratic (i.e., uncorrelated across each given generation). More generally, our framework implies that the degree of risk aversion is determined by the stochastic nature of reproductive rates, and we show that different statistical properties lead to different utility functions. The simplicity and generality of our model suggest that these implications are primitive and cut across species, physiology, and genetic origins.

Indexed as

evolutionexpected utility theoryrisk aversionrisk preferencesrisk-sensitive foraging

Identifiers

PMID25453072
PMCPMC4273387

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.