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Wealth-driven competition in a speculative financial market: Examples with maximizing agents
- Source :
- Quantitative Finance, Quantitative Finance, 8(4), 363-380. Taylor and Francis Ltd.
- Publication Year :
- 2008
-
Abstract
- This paper demonstrates how both quantitative and qualitative results of general, analytically tractable asset-pricing model in which heterogeneous agents behave consistently with a constant relative risk aversion assumption can be applied to the particular case of ``linear'' investment choices. In this way it is shown how the framework developed in Anufriev and Bottazzi (2005) can be used inside the classical setting with demand derived from utility maximization. Consequently, some of the previous contributions of the agent-based literature are generalized. In the course of the analysis of asymptotic market behavior the main attention is paid to a geometric approach which allows to visualize all possible equilibria by means of a simple one-dimensional curve referred as the Equilibrium Market Line. The case of linear (particularly, mean-variance) investment functions thoroughly analyzed in this paper allows to highlight those features of the asymptotic dynamics which are common to all types of the CRRA-investment behavior and those which are specific for the linear investment functions.
- Subjects :
- Economics
Financial market
Wirtschaft
Asset pricing model
CRRA framework
Equilibrium market curve
Expected utility maximization
Mean-variance optimization
Linear investment functions
Investment (macroeconomics)
Political Economy
Asset Pricing Model, CRRA Framework, Equilibrium Market Line, Rational Choice, Expected Utility Maximization, Mean-Variance Optimization, Linear Investment Functions
Visualization
Competition (economics)
Microeconomics
Simple (abstract algebra)
Volkswirtschaftslehre
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
ddc:330
Capital asset pricing model
Special case
Constant (mathematics)
General Economics, Econometrics and Finance
Mathematical economics
Economic Statistics, Econometrics, Business Informatics
Finance
Subjects
Details
- ISSN :
- 14697688
- Database :
- OpenAIRE
- Journal :
- Quantitative Finance, Quantitative Finance, 8(4), 363-380. Taylor and Francis Ltd.
- Accession number :
- edsair.doi.dedup.....439d2a94af2c1459283234dbd1d068dc