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Nonlinear Time Series Analysis of Economic and Financial Data

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Release : 1999-01-31
Genre : Business & Economics
Kind : eBook
Book Rating : 796/5 ( reviews)

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Book Synopsis Nonlinear Time Series Analysis of Economic and Financial Data by : Philip Rothman

Download or read book Nonlinear Time Series Analysis of Economic and Financial Data written by Philip Rothman. This book was released on 1999-01-31. Available in PDF, EPUB and Kindle. Book excerpt: 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 Nonlinear Economic Time Series

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Release : 2010-12-16
Genre : Business & Economics
Kind : eBook
Book Rating : 148/5 ( reviews)

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Book Synopsis Modelling Nonlinear Economic Time Series by : Timo Teräsvirta

Download or read book Modelling Nonlinear Economic Time Series written by Timo Teräsvirta. This book was released on 2010-12-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Non-Linear Time Series Models in Empirical Finance

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Release : 2000-07-27
Genre : Business & Economics
Kind : eBook
Book Rating : 416/5 ( reviews)

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Book Synopsis Non-Linear Time Series Models in Empirical Finance by : Philip Hans Franses

Download or read book Non-Linear Time Series Models in Empirical Finance written by Philip Hans Franses. This book was released on 2000-07-27. Available in PDF, EPUB and Kindle. Book excerpt: This 2000 volume reviews non-linear time series models, and their applications to financial markets.

Nonlinear Econometric Modeling in Time Series

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Release : 2000-05-22
Genre : Business & Economics
Kind : eBook
Book Rating : 240/5 ( reviews)

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Book Synopsis Nonlinear Econometric Modeling in Time Series by : William A. Barnett

Download or read book Nonlinear Econometric Modeling in Time Series written by William A. Barnett. This book was released on 2000-05-22. Available in PDF, EPUB and Kindle. Book excerpt: This book presents some of the more recent developments in nonlinear time series, including Bayesian analysis and cointegration tests.

Nonlinear Time Series Analysis of Economic and Financial Data

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Author :
Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 293/5 ( reviews)

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Book Synopsis Nonlinear Time Series Analysis of Economic and Financial Data by : Philip Rothman

Download or read book Nonlinear Time Series Analysis of Economic and Financial Data written by Philip Rothman. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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