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Convolution Copula Econometrics - Umberto Cherubini,Fabio Gobbi,Sabrina Mulinacci

English
2016-12-16
€93.30 €116.63

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This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the increments and provides a generalization with respect to the standard linear independent increments assumption of classical time series models. The book offers a solution to the problem of a general semiparametric app ... Full description

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Description

This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the increments and provides a generalization with respect to the standard linear independent increments assumption of classical time series models. The book offers a solution to the problem of a general semiparametric approach, which is given by a concept called C-convolution (convolution of dependent variables), and the corresponding theory of convolution-based copulas. Intended for econometrics and statistics scholars with a special interest in time series analysis and copula functions (or other nonparametric approaches), the book is also useful for doctoral students with a basic knowledge of copula functions wanting to learn about the latest research developments in the field.

More Information

Author Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci
Publisher Springer International Publishing
Release year 2016
Cover type Softcover
EAN 9783319480145
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€93.30 €116.63