Advances in Non-linear Economic Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Non-linear Economic Modeling write by Frauke Schleer-van Gellecom. This book was released on 2013-12-11. Advances in Non-linear Economic Modeling available in PDF, EPUB and Kindle. In recent years nonlinearities have gained increasing importance in economic and econometric research, particularly after the financial crisis and the economic downturn after 2007. This book contains theoretical, computational and empirical papers that incorporate nonlinearities in econometric models and apply them to real economic problems. It intends to serve as an inspiration for researchers to take potential nonlinearities in account. Researchers should be aware of applying linear model-types spuriously to problems which include non-linear features. It is indispensable to use the correct model type in order to avoid biased recommendations for economic policy.
Recent Advances in Estimating Nonlinear Models
Recent Advances in Estimating Nonlinear Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Advances in Estimating Nonlinear Models write by Jun Ma. This book was released on 2013-09-24. Recent Advances in Estimating Nonlinear Models available in PDF, EPUB and Kindle. Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and estimating nonlinear time series models, and these have typically taken the form of Threshold Autoregression (TAR) models, Exponential Smooth Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear estimation techniques, offering new methods and insights into nonlinear time series analysis. It features cutting-edge research from leading academics in economics, finance, and business management, and will focus on such topics as Zero-Information-Limit-Conditions, using Markov Switching Models to analyze economics series, and how best to distinguish between competing nonlinear models. Principles and techniques in this book will appeal to econometricians, finance professors teaching quantitative finance, researchers, and graduate students interested in learning how to apply advances in nonlinear time series modeling to solve complex problems in economics and finance.
Optimization in Economics and Finance
Optimization in Economics and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization in Economics and Finance write by Bruce D. Craven. This book was released on 2005-10-24. Optimization in Economics and Finance available in PDF, EPUB and Kindle. Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.
Nonlinearities in Economics
Nonlinearities in Economics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinearities in Economics write by Giuseppe Orlando. This book was released on 2021-08-31. Nonlinearities in Economics available in PDF, EPUB and Kindle. 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.
Optimization in Economics and Finance
Optimization in Economics and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization in Economics and Finance write by Bruce Desmond Craven. This book was released on 2007. Optimization in Economics and Finance available in PDF, EPUB and Kindle. Many optimization questions arise in economics and finance; an important example of this is the society's choice of the optimum state of the economy (the social choice problem). This book the usual optimization techniques, in a form that may be adopted for modeling social choice problems. Problems discussed include: when is an optimum reached; when is it unique; relaxation of the conventional convex (or concave) assumptions on an economic model; associated mathematical concepts such as invex and quasimax; multiobjective optimal control models; and related computational methods and programs. These techniques are applied to economic growth models (including small stochastic perturbations), finance and financial investment models (and the interaction between financial and production variables), modeling sustainability over long time horizons, boundary (transversality) conditions, and models with several conflicting objectives. Although the applications are general and illustrative, the models in this book provide examples of possible models for a society's social choice for an allocation that maximizes welfare and utilization of resources. As well as using existing computer programs for optimization of models, a new computer program, named SCOM, is presented in this book for computing social choice models by optimal control.
