Nonlinear Economic Models
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Modelling Nonlinear Economic Time Series
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Author : Timo Teräsvirta
language : en
Publisher:
Release Date : 2010
Modelling Nonlinear Economic Time Series written by Timo Teräsvirta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Econometric models categories.
A comprehensive assessment of many recent developments in the modelling of time series, this text introduces various nonlinear models and discusses their practical use, encouraging the reader to apply nonlinear models to their practical modelling problems.
Economic Nonlinear Model Predictive Control
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Author : Timm Faulwasser
language : en
Publisher:
Release Date : 2018
Economic Nonlinear Model Predictive Control written by Timm Faulwasser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Electronic books categories.
In recent years, Economic Model Predictive Control (EMPC) has received considerable attention of many research groups. The present tutorial survey summarizes state-of-the-art approaches in EMPC. In this context EMPC is to be understood as receding-horizon optimal control with a stage cost that does not simply penalize the distance to a desired equilibrium but encodes more sophisticated economic objectives. This survey provides a comprehensive overview of EMPC stability results: with and without terminal constraints, with and without dissipativity assumptions, with averaged constraints, formulations with multiple objectives and generalized terminal constraints as well as Lyapunov-based approaches.
Nonlinearities In Economics
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Author : Giuseppe Orlando
language : en
Publisher: Springer Nature
Release Date : 2021-08-31
Nonlinearities In Economics written by Giuseppe Orlando and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-31 with Business & Economics categories.
This interdisciplinary book argues that the economy has an underlying non-linear structure and that business cycles are endogenous, which allows a greater explanatory power with respect to the traditional assumption that dynamics are stochastic and shocks are exogenous. The first part of this work is formal-methodological and provides the mathematical background needed for the remainder, while the second part presents the view that signal processing involves construction and deconstruction of information and that the efficacy of this process can be measured. The third part focuses on economics and provides the related background and literature on economic dynamics and the fourth part is devoted to new perspectives in understanding nonlinearities in economic dynamics: growth and cycles. By pursuing this approach, the book seeks to (1) determine whether, and if so where, common features exist, (2) discover some hidden features of economic dynamics, and (3) highlight specific indicators of structural changes in time series. Accordingly, it is a must read for everyone interested in a better understanding of economic dynamics, business cycles, econometrics and complex systems, as well as non-linear dynamics and chaos theory.
Dynamic Nonlinear Econometric Models
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Author : Benedikt M Pötscher
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-07-17
Dynamic Nonlinear Econometric Models written by Benedikt M Pötscher and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-07-17 with Business & Economics categories.
Many relationships in economics, and also in other fields, are both dynamic and nonlinear. A major advance in econometrics over the last fifteen years has been the development of a theory of estimation and inference for dy namic nonlinear models. This advance was accompanied by improvements in computer technology that facilitate the practical implementation of such estimation methods. In two articles in Econometric Reviews, i.e., Pötscher and Prucha {1991a,b), we provided -an expository discussion of the basic structure of the asymptotic theory of M-estimators in dynamic nonlinear models and a review of the literature up to the beginning of this decade. Among others, the class of M-estimators contains least mean distance estimators (includ ing maximum likelihood estimators) and generalized method of moment estimators. The present book expands and revises the discussion in those articles. It is geared towards the professional econometrician or statistician. Besides reviewing the literature we also presented in the above men tioned articles a number of then new results. One example is a consis tency result for the case where the identifiable uniqueness condition fails.
Nonlinear Dynamical Economics And Chaotic Motion
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Author : Hans-Walter Lorenz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Nonlinear Dynamical Economics And Chaotic Motion written by Hans-Walter Lorenz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Usually, the first edition of a book still contains a multiplicity of typographic, con ceptional, and computational errors even if one believes the opposite at the time of publication. As this book did not represent a counterexample to this rule, the current second edition offers a chance to remove at least the known shortcomings. The book has been partly re-organized. The previously rather long Chapter 4 has been split into two separate chapters dealing with discrete-time and continuous time approaches to nonlinear economic dynamics. The short summary of basic properties of linear dynamical systems has been banned to an appendix because the line of thought in the chapter seems to have been unnecessarily interrupted by these technical details and because the book concentrates on nonlinear systems. This appendix, which mainly deals with special formal properties of dynamical sys tems, also contains some new material on invariant subspaces and center-manifold reductions. A brief introduction into the theory of lags and operators is followed by a few remarks on the relation between the 'true' properties of dynamical systems and their behavior observable in numerical experiments. Additional changes in the main part of the book include a re-consideration of Popper's determinism vs. inde terminism discussion in the light of chaotic properties of deterministic, nonlinear systems in Chapter 1. An investigation of a simultaneous price-quantity adjustment process, a more detailed inquiry into the uniqueness property of limit cycles, and a short presentation of relaxation oscillations are included in Chapter 2.
Nonlinear Time Series Analysis Of Economic And Financial Data
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Author : Philip Rothman
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-01-31
Nonlinear Time Series Analysis Of Economic And Financial Data written by Philip Rothman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-01-31 with Business & Economics categories.
Nonlinear Time Series Analysis of Economic and Financial Data provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.
Nonlinear Economic Dynamics And Financial Modelling
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Author : Roberto Dieci
language : en
Publisher: Springer
Release Date : 2014-07-26
Nonlinear Economic Dynamics And Financial Modelling written by Roberto Dieci and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-26 with Business & Economics categories.
This book reflects the state of the art on nonlinear economic dynamics, financial market modelling and quantitative finance. It contains eighteen papers with topics ranging from disequilibrium macroeconomics, monetary dynamics, monopoly, financial market and limit order market models with boundedly rational heterogeneous agents to estimation, time series modelling and empirical analysis and from risk management of interest-rate products, futures price volatility and American option pricing with stochastic volatility to evaluation of risk and derivatives of electricity market. The book illustrates some of the most recent research tools in these areas and will be of interest to economists working in economic dynamics and financial market modelling, to mathematicians who are interested in applying complexity theory to economics and finance and to market practitioners and researchers in quantitative finance interested in limit order, futures and electricity market modelling, derivative pricing and risk management.
Nonlinear Time Series Analysis Of Business Cycles
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Author : C. Milas
language : en
Publisher: Elsevier
Release Date : 2006-02-08
Nonlinear Time Series Analysis Of Business Cycles written by C. Milas and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-08 with Business & Economics categories.
Publisher Description
Nonlinear Economic Models
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Author : John Creedy
language : en
Publisher: Edward Elgar Publishing
Release Date : 1997
Nonlinear Economic Models written by John Creedy and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Business & Economics categories.
The book provides valuable introductory material that is accessible to students and scholars interested in this exciting research area, as well as presenting the results of new and original research. Nonlinear Economic Models provides a sequel to Chaos and Nonlinear Models by the same editors.
Non Linear Time Series Models In Empirical Finance
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Author : Philip Hans Franses
language : en
Publisher: Cambridge University Press
Release Date : 2000-07-27
Non Linear Time Series Models In Empirical Finance written by Philip Hans Franses and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-27 with Business & Economics categories.
This 2000 volume reviews non-linear time series models, and their applications to financial markets.