| 书目名称 | Mathematical and Statistical Methods for Actuarial Sciences and Finance |
| 编辑 | Marco Corazza,Claudio Pizzi |
| 视频video | |
| 概述 | Contains both mathematical and statistical issues.Presents the most advanced research results in actuarial sciences, insurance and finance.Contains theoretical and applicative perspectives.Includes su |
| 图书封面 |  |
| 描述 | .The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and finance fields, all treated in the light of the successful cooperation between the above two quantitative approaches. .The papers published in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral finance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; financial contagion models; financial ratios; intelligent financial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; partic |
| 出版日期 | Book 2014 |
| 关键词 | actuarial sciences; insurance; mathematical methods; quantitative finance; statistical methods |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-02499-8 |
| isbn_softcover | 978-3-319-37898-5 |
| isbn_ebook | 978-3-319-02499-8 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 16:38:28
