Published September 6, 2013 | Version v1
Journal article

Methods for measuring risk-aversion: problems and solutions

Creators

  • 1. Risk Management, Reliability and Maintenance Group, School of Engineering and Mathematical Sciences, City University London, Northampton Square, London EC1V 0HB (United Kingdom)

Description

Risk-aversion is a fundamental parameter determining how humans act when required to operate in situations of risk. Its general applicability has been discussed in a companion presentation, and this paper examines methods that have been used in the past to measure it and their attendant problems. It needs to be borne in mind that risk-aversion varies with the size of the possible loss, growing strongly as the possible loss becomes comparable with the decision maker's assets. Hence measuring risk-aversion when the potential loss or gain is small will produce values close to the risk-neutral value of zero, irrespective of who the decision maker is. It will also be shown how the generally accepted practice of basing a measurement on the results of a three-term Taylor series will estimate a limiting value, minimum or maximum, rather than the value utilised in the decision. A solution is to match the correct utility function to the results instead

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/459/1/012019

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
459
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1742-6596

Conference

Title
Measurement across physical and behavioural sciences
Acronym
2013 joint IMEKO (International Measurement Confederation) TC1-TC7-TC13 symposium
Dates
4-6 Sep 2013
Place
Genoa (Italy)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45015796
Subject category
S61: RADIATION PROTECTION AND DOSIMETRY; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
HAZARDS; HUMAN POPULATIONS; LIMITING VALUES
Descriptors DEC
POPULATIONS