Issue |
Europhys. Lett.
Volume 59, Number 5, September 2002
|
|
---|---|---|
Page(s) | 635 - 641 | |
Section | General | |
DOI | https://doi.org/10.1209/epl/i2002-00172-5 | |
Published online | 01 September 2002 |
Risk aversion in economic transactions
1
Centro Brasileiro de Pesquisas Físicas -
R. Dr. Xavier Sigaud 150 22290-180, Rio de Janeiro, RJ, Brazil
2
Faculdade de Filosofia, Ciências e Letras de
Ribeirão Preto Universidade de São Paulo - Av. Bandeirantes
3900 14040-901 Ribeirão Preto, SP, Brazil
Corresponding authors: celia@cbpf.br, tsallis@cbpf.br, amartinez@ffclrp.usp.br
Received:
23
January
2002
Accepted:
5
June
2002
Most people are risk-averse (risk-seeking) when they expect to gain (lose). Based on a generalization of “expected utility theory” which takes this into account, we introduce an automaton mimicking the dynamics of economic operations. Each operator is characterized by a parameter q which gauges people's attitude under risky choices; this index q is in fact the entropic one which plays a central role in nonextensive statistical mechanics. Different long-term patterns of average asset redistribution are observed according to the distribution of parameter q (chosen once forever for each operator) and the rules (e.g., the probabilities involved in the gamble and the indebtedness restrictions) governing the values that are exchanged in the transactions. Analytical and numerical results are discussed in terms of how the sensitivity to risk affects the dynamics of economic transactions.
PACS: 02.50.Le – Decision theory and game theory / 05.45.-a – Nonlinear dynamics and nonlinear dynamical systems / 05.90.+m – Other topics in statistical physics, thermodynamics, and nonlinear dynamical systems
© EDP Sciences, 2002
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.