Modelling Nonlinear Economic Time Series


Modelling Nonlinear Economic Time Series
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Modelling Nonlinear Economic Time Series


Modelling Nonlinear Economic Time Series
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Author : Timo Teräsvirta
language : en
Publisher: OUP Oxford
Release Date : 2010-12-16

Modelling Nonlinear Economic Time Series written by Timo Teräsvirta and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-16 with Business & Economics categories.


This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contains examples of nonlinear models in economic theory and presents the most common nonlinear time series models. Importantly, it shows the reader how to apply these models in practice. For thispurpose, the building of various nonlinear models with its three stages of model building: specification, estimation and evaluation, is discussed in detail and is illustrated by several examples involving both economic and non-economic data. Since estimation of nonlinear time series models is carried outusing numerical algorithms, the book contains a chapter on estimating parametric nonlinear models and another on estimating nonparametric ones.Forecasting is a major reason for building time series models, linear or nonlinear. The book contains a discussion on forecasting with nonlinear models, both parametric and nonparametric, and considers numerical techniques necessary for computing multi-period forecasts from them. The main focus of the book is on models of the conditional mean, but models of the conditional variance, mainly those of autoregressive conditional heteroskedasticity, receive attention as well. A separate chapter isdevoted to state space models. As a whole, the book is an indispensable tool for researchers interested in nonlinear time series and is also suitable for teaching courses in econometrics and time series analysis.



Modelling Nonlinear Economic Time Series


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.



Non Linear Time Series Models In Empirical Finance


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.



Nonlinear Econometric Modeling In Time Series


Nonlinear Econometric Modeling In Time Series
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Author : William A. Barnett
language : en
Publisher: Cambridge University Press
Release Date : 2000-05-22

Nonlinear Econometric Modeling In Time Series written by William A. Barnett 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 2000-05-22 with Business & Economics categories.


This book presents some of the more recent developments in nonlinear time series, including Bayesian analysis and cointegration tests.



Modelling Nonlinear Economic Relationships


Modelling Nonlinear Economic Relationships
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Author : Clive William John Granger
language : en
Publisher: Oxford University Press, USA
Release Date : 1993

Modelling Nonlinear Economic Relationships written by Clive William John Granger and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Social Science categories.




Essays In Nonlinear Time Series Econometrics


Essays In Nonlinear Time Series Econometrics
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Author : Niels Haldrup
language : en
Publisher: Oxford University Press
Release Date : 2014-05

Essays In Nonlinear Time Series Econometrics written by Niels Haldrup and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05 with Business & Economics categories.


A book on nonlinear economic relations that involve time. It covers specification testing of linear versus non-linear models, model specification testing, estimation of smooth transition models, volatility modelling using non-linear model specification, analysis of high dimensional data set, and forecasting.



Nonlinear Time Series Analysis Of Economic And Financial Data


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 : 2012-12-06

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 2012-12-06 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.



Modelling Trends And Cycles In Economic Time Series


Modelling Trends And Cycles In Economic Time Series
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Author : Terence C. Mills
language : en
Publisher: Springer Nature
Release Date : 2021-07-29

Modelling Trends And Cycles In Economic Time Series written by Terence C. Mills and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-29 with Business & Economics categories.


Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. In this second edition, Terence Mills expands on the research in the area of trends and cycles over the last (almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.



Modeling Financial Time Series With S Plus


Modeling Financial Time Series With S Plus
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Author : Eric Zivot
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Modeling Financial Time Series With S Plus written by Eric Zivot 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 2013-11-11 with Business & Economics categories.


The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.



Strategies For Modelling Nonlinear Time Series Relationships


Strategies For Modelling Nonlinear Time Series Relationships
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Author : Clive William John Granger
language : en
Publisher:
Release Date : 1993

Strategies For Modelling Nonlinear Time Series Relationships written by Clive William John Granger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Econometric models categories.