Journal ArticleDOI
Chaotic dynamics: theory and applications to economics, by Alfredo Medio in collaboration with Giampaolo Gallo. Pp 344. £35. 1993. ISBN 0-521-39488-0; (Accompanying Disk ISBN 0-521-42107-1. £30 MSDOS or Apple Mac). (Cambridge University Press)
TLDR
This book introduces chaos and economics in a continuous-time model of inventory business cycles and applications to Economics, and discusses the role of software in this transformation.Abstract:
Preface Part I. Theory: 1. General introduction: chaos and economics 2. Basic mathematical concepts 3. A user's guide 4. Surfaces of sections and Poincare maps 5. Spectral analysis 6. Lyapunov characteristic exponents 7. Dimensions 8. Symbolic dynamics 9. Transition to chaos: theoretical predictive criteria 10. Analysis of experimental signals: some theoretical problems Part II. Applications to Economics: 11. Discrete and continuous chaos 12. Cycles and chaos in overlapping generations models with production 13. Chaos in a continuous-time model of inventory business cycles 14. Analysis of experimental signals Part III. Software: 15. DMC manual 16. MODEL 17. EVAL 18. PLOT 19. STAT 20. FILES 21. UTIL 22. OPTS 23. QUIT 24. Internal menu commands 25. DMC internal compiler.read more
Citations
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Book ChapterDOI
Chaotic dynamics in a two-dimensional overlapping generations model. A numerical investigation
TL;DR: In this paper, the authors present a numerical investigation of the global dynamics of a 2-dimensional OLG-model as introduced by Grandmont (1992) and show that chaotic output fluctuations already arise when the income effect is not too strong.
Posted Content
The Chaotic Inflation Growth Model: The Euro Area
TL;DR: In this paper, the authors set up a relatively simple chaotic inflation growth model that is capable of generating stable equilibria, cycles, or chaos, and analyzed the local stability of inflation growth in the Euro Area in the period 2000-2013.
Hipótesis de mercado eficiente, caos y mercado de capitales
TL;DR: In this article, the authors analyze the capital market from the point of view of complexity and chaos, by making reference to the behaviour of the Madrid stock exchange, in the period of 1941-1998 for the General Index, and during the period transpired between 1987 to 1998 for the daily Ibex35 index, showing the need of knowing witht independence of the irregularity, if the time series is stochastic or deterministic with a hidden explanation.
References
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Book ChapterDOI
Chapter 23 Heterogeneous Agent Models in Economics and Finance
TL;DR: A survey of dynamic heterogeneous agent models (HAMs) in economics and finance can be found in this paper, where the authors focus on simple models that are tractable by analytic methods in combination with computational tools.
MonographDOI
Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems
TL;DR: In this paper, the nonlinear cobweb model with heterogeneous expectations was proposed and empirically validated in a laboratory experiment, and an asset pricing model was proposed with heterogenous beliefs.
Book
Time-Series Analysis and Cyclostratigraphy: Examining Stratigraphic Records of Environmental Cycles
TL;DR: This work Constructing time series in cyclostratigraphy with a focus on environmental cycles recorded stratigraphically and additional methods of time-series analysis.
CapitalLabor Substitution and Competitive Nonlinear Endogenous Business Cycles
TL;DR: In this article, simple geometrical methods were developed to study local indeterminacy, bifurcations and stochastic (sunspot) equilibria near a steady state, in nonlinear two dimensional economic models.
Journal ArticleDOI
Testing for non-linear structure in an artificial financial market
TL;DR: In this paper, the authors present a stochastic simulation model of a prototype financial market, which is populated by both noise traders and fundamentalist speculators, and explore the behavior of the model when testing for the presence of chaos or non-linearity in the simulated data.