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Book synopsis

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.

Book details

Book category Books in English Economics, finance, business & management Economics Econometrics

• Full title: Convolution Copula Econometrics
• Author: Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci
• Language: English
• Binding: Paperback
• Number of pages: 90
• EAN: 9783319480145
• ISBN: 3319480146
• ID: 14277778
• Publisher: Springer International Publishing AG
• Weight: 226 g
• Dimensions: 235 × 155 × 8 mm
• Date of publishing: 16. December 2016

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