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Essays in Nonlinear Time Series Econometrics (Hardcover) Loot Price: R3,521
Discovery Miles 35 210
Essays in Nonlinear Time Series Econometrics (Hardcover): Niels Haldrup, Mika Meitz, Pentti Saikkonen

Essays in Nonlinear Time Series Econometrics (Hardcover)

Niels Haldrup, Mika Meitz, Pentti Saikkonen

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Loot Price R3,521 Discovery Miles 35 210 | Repayment Terms: R330 pm x 12*

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This edited collection concerns nonlinear economic relations that involve time. It is divided into four broad themes that all reflect the work and methodology of Professor Timo Terasvirta, one of the leading scholars in the field of nonlinear time series econometrics. The themes are: Testing for linearity and functional form, specification testing and estimation of nonlinear time series models in the form of smooth transition models, model selection and econometric methodology, and finally applications within the area of financial econometrics. All these research fields include contributions that represent state of the art in econometrics such as testing for neglected nonlinearity in neural network models, time-varying GARCH and smooth transition models, STAR models and common factors in volatility modeling, semi-automatic general to specific model selection for nonlinear dynamic models, high-dimensional data analysis for parametric and semi-parametric regression models with dependent data, commodity price modeling, financial analysts earnings forecasts based on asymmetric loss function, local Gaussian correlation and dependence for asymmetric return dependence, and the use of bootstrap aggregation to improve forecast accuracy. Each chapter represents original scholarly work, and reflects the intellectual impact that Timo Terasvirta has had and will continue to have, on the profession.

General

Imprint: Oxford UniversityPress
Country of origin: United Kingdom
Release date: June 2014
Editors: Niels Haldrup (Professor of Economics) • Mika Meitz (Assistant Professor of Economics) • Pentti Saikkonen (Professor of Statistics)
Dimensions: 239 x 162 x 31mm (L x W x T)
Format: Hardcover
Pages: 392
ISBN-13: 978-0-19-967995-9
Categories: Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Business & Economics > Finance & accounting > Finance > General
Books > Money & Finance > General
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LSN: 0-19-967995-9
Barcode: 9780199679959

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