| 书目名称 | Mathematical and Statistical Methods for Actuarial Sciences and Finance | | 副标题 | MAF 2018 | | 编辑 | Marco Corazza,María Durbán,Marilena Sibillo | | 视频video | | | 概述 | Offers selected peer-reviewed papers.Focuses on mathematical and statistical methods in actuarial sciences and finance.Intended for academicians, researchers, Ph.D. students and professionals | | 图书封面 |  | | 描述 | .The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. ..The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial marke | | 出版日期 | Book 2018 | | 关键词 | Insurance; Finance; Statistics; Mathematics; Econometrics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-89824-7 | | isbn_softcover | 978-3-030-07868-3 | | isbn_ebook | 978-3-319-89824-7 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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发表于 2025-3-21 16:21:29
