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Author: Gilles Dufrenot
Publisher:
ISBN: 9781475736168
Category :
Languages : en
Pages : 332
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Book Description
Author: Gilles Dufrenot
Publisher:
ISBN: 9781475736168
Category :
Languages : en
Pages : 332
Get Book Here
Book Description
Author: Gilles Dufrénot
Publisher: Springer Science & Business Media
ISBN: 1475736150
Category : Business & Economics
Languages : en
Pages : 319
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Book Description
This book is an introductory exposition of different topics that emerged in the literature as unifying themes between two fields of econometrics of time series, namely nonlinearity and nonstationarity. Papers on these topics have exploded over the last two decades, but they are rarely ex amined together. There is, undoubtedly, a variety of arguments that justify such a separation. But there are also good reasons that motivate their combination. People who are reluctant to a combined analysis might argue that nonlinearity and nonstationarity enhance non-trivial problems, so their combination does not stimulate interest in regard to plausibly increased difficulties. This argument can, however, be balanced by other ones of an economic nature. A predominant idea, today, is that a nonstationary series exhibits persistent deviations from its long-run components (either deterministic or stochastic trends). These persistent deviations are modelized in various ways: unit root models, fractionally integrated processes, models with shifts in the time trend, etc. However, there are many other behaviors inherent to nonstationary processes, that are not reflected in linear models. For instance, economic variables with mixture distributions, or processes that are state-dependent, undergo episodes of changing dynamics. In models with multiple long-run equi libria, the moving from an equilibrium to another sometimes implies hys teresis. Also, it is known that certain shocks can change the economic fundamentals, thereby reducing the possibility that an initial position is re-established after a shock (irreversibility).
Author: Gilles Dufrénot
Publisher: Springer Nature
ISBN: 3030542521
Category : Business & Economics
Languages : en
Pages : 387
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Book Description
The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic volatility models, and the econometrics of commodity markets and globalization. Furthermore, it demonstrates the application of recent techniques in various fields: in the frequency domain, in the analysis of persistent dynamics, in the estimation of state space models and new classes of volatility models. The book is divided into two parts: The first part applies econometrics to the field of macroeconomics, discussing trend/cycle decomposition, growth analysis, monetary policy and international trade. The second part applies econometrics to a wide range of topics in financial economics, including price dynamics in equity, commodity and foreign exchange markets and portfolio analysis. The book is essential reading for scholars, students, and practitioners in government and financial institutions interested in applying recent econometric time series methods to financial and economic data.
Author: Greg N. Gregoriou
Publisher: Springer
ISBN: 0230295215
Category : Business & Economics
Languages : en
Pages : 214
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Book Description
This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models and provide new evidence and solutions to capture the persistence observed in stock returns across developed and emerging markets.
Author: Mohamed El Hedi Arouri
Publisher: Springer Science & Business Media
ISBN: 3790823899
Category : Business & Economics
Languages : en
Pages : 214
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Book Description
Emerging markets have received a particular attention of academic researchers and practitioners since they decided to open their domestic capital markets to foreign participants about three decades ago. At the same time, we remark that theoretical and empirical research in emerging stock markets has been particularly challenged by their fast changes in nature and size under the effects of financial liberalization and reforms. This evolving feature has particularly led to a commensurate increase in sophistication of modeling techniques used for understanding financial markets. In this spirit, the book aims at providing the audience a comprehensive understanding of emerging stock markets in various aspects using modern financial econometric methods. It addresses the empirical techniques needed by economic agents to analyze the dynamics of these markets and illustrates how they can be applied to the actual data. On the other hand, it presents and discusses new research findings and their implications.
Author: Yin-Wong Cheung
Publisher: Emerald Group Publishing
ISBN: 085724745X
Category : Business & Economics
Languages : en
Pages : 447
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Book Description
The process of Asia's rise to a position of eminence in global finance has accelerated in the wake of the international financial crisis. This volume intends to explore and understand the dynamics created by this process of transition.
Author: Valérie Mignon
Publisher: Springer Nature
ISBN: 3031525353
Category :
Languages : en
Pages : 417
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Book Description
Author: Fabio Casciati
Publisher: DEStech Publications, Inc
ISBN: 1605950246
Category : Technology & Engineering
Languages : en
Pages : 1425
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Book Description
Author: Jun Ma
Publisher: Springer
ISBN: 9781493952595
Category : Business & Economics
Languages : en
Pages : 299
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Book Description
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.
Author: Jeffrey Racine
Publisher: Oxford University Press
ISBN: 0199857946
Category : Business & Economics
Languages : en
Pages : 562
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Book Description
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.