Convolution Copula Econometrics
Author | : Umberto Cherubini |
Publisher | : Springer |
Total Pages | : 99 |
Release | : 2016-12-01 |
ISBN-10 | : 9783319480152 |
ISBN-13 | : 3319480154 |
Rating | : 4/5 (52 Downloads) |
Download or read book Convolution Copula Econometrics written by Umberto Cherubini and published by Springer. This book was released on 2016-12-01 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.