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Cherubini, Umberto; Gobbi, Fabio; Mulinacci, Sabrina - Convolution Copula Econometrics - 9783319480145 - V9783319480145
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Convolution Copula Econometrics

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Description for Convolution Copula Econometrics Paperback. Series: SpringerBriefs in Statistics. Num Pages: 90 pages, 1 black & white illustrations, 30 colour illustrations, biography. BIC Classification: KCH; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 5. Weight in Grams: 168.
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), ... Read more

Product Details

Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
90
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
90
Place of Publication
Cham, Switzerland
ISBN
9783319480145
SKU
V9783319480145
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Cherubini, Umberto; Gobbi, Fabio; Mulinacci, Sabrina
Umberto Cherubini is Associate professor of Financial Mathematics at the University of Bologna, where he heads the graduate program in Quantitative Finance. He is fellow of the Financial Econometrics Research Center (FERC), a member of the Scientific Committees of Abiformazione – the professional education arm of the Italian Banking Association, and AIFIRM – the Italian Association of Financial Risk Managers. He ... Read more

Reviews for Convolution Copula Econometrics
“The goal of the book is to gather the main concepts of copula function theory that can be applied to the analysis of time series (so-called convolution-based copulas), and some new ideas, linked to copulas, such as estimation of copula-based Markov processes. … The book will be useful for the researchers working in econometrics, interest rate, Markov processes and copulas ... Read more

Goodreads reviews for Convolution Copula Econometrics


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