Artikel

Simulating the market coefficient of relative risk aversion

In this paper, expected utility, defined by a Taylor series expansion around expected wealth, is maximized. The coefficient of relative risk aversion (CRRA) that is commensurate with a 100% investment in the risky asset is simulated. The following parameters are varied: the riskless return, the market standard deviation, the market stock premium, and the skewness and the kurtosis of the risky return. Both the high extremes and the low extremes are considered. With these figures, the upper bound of the market CRRA is 3.021 and the lower bound is 0.466. Log utility, which corresponds to a CRRA of 1, is not excluded.

Language
Englisch

Bibliographic citation
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 2 ; Year: 2014 ; Issue: 1 ; Pages: 1-7 ; Abingdon: Taylor & Francis

Classification
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Portfolio Choice; Investment Decisions
Statistical Simulation Methods: General
Subject
relative risk aversion
expected utility maximization
Taylor series expansion
normal distribution
skewness
kurtosis
simulation

Event
Geistige Schöpfung
(who)
Azar, Samih Antoine
Karaguezian-Haddad, Vera
Event
Veröffentlichung
(who)
Taylor & Francis
(where)
Abingdon
(when)
2014

DOI
doi:10.1080/23322039.2014.990742
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Azar, Samih Antoine
  • Karaguezian-Haddad, Vera
  • Taylor & Francis

Time of origin

  • 2014

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