Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. Aspirational Preferences and Their Representation by Risk Measures
Details

Aspirational Preferences and Their Representation by Risk Measures

Journal
Management Science
ISSN
0025-1909
ISSN-Digital
1526-5501
Type
journal article
Date Issued
2012-11
Author(s)
Brown, David B
;
De Giorgi, Enrico  
;
Sim, Melvyn
DOI
10.1287/mnsc.1120.1537
Abstract
We consider choice over a set of monetary acts and study a general class of preferences. These preferences favor diversification, except perhaps on a subset of sufficiently disliked acts, over which concentration is instead preferred. This structure encompasses a number of known models, such as expected utility theory, maxmin utility theory, and convex risk measures. We show that such preferences share a dual representation in terms of a family of measures of risk and a target function. Specifically, the choice function is equivalent to selection of a maximum index level such that the risk of beating the target function at that level is acceptable. This dual representation may help to uncover new models of choice. One that we explore in detail is the special case of a bounded target function. This case corresponds to a type of satisficing and has descriptive relevance. Moreover, the model results in optimization problems that may be efficiently solved in large-scale.
Language
English
Keywords
Representation of choice
risk measures
aspiration levels
decision theory paradoxes.
HSG Classification
contribution to scientific community
HSG Profile Area
SEPS - Quantitative Economic Methods
Refereed
Yes
Publisher
INFORMS
Publisher place
Hanover, Md.
Volume
58
Number
11
Start page
2095
End page
2113
Pages
19
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/90796
Subject(s)

economics

Division(s)

SEPS - School of Econ...

MS - Faculty of Mathe...

University of St.Gall...

Eprints ID
63185
File(s)
Thumbnail Image

open.access

Name

Brown_AspirationalPreferences.pdf

Size

858.61 KB

Format

Adobe PDF

Checksum (MD5)

0252643f80c404bec3dbe6110aead968

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify