Mathematical and statistical methods for actuarial sciences and finance / Marco Corazza, Claudio Pizzi. (Editors)
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TextPublication details: New York : Springer, 2014.Description: ix, 313 p. : ill. ; 24 cmISBN: - 9783319378985
- 330.015195 22
- HG176.5 .C72 2014
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode |
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Martin Oduor-Otieno Library This item is located on the library ground floor | Non-fiction | HG176.5 .C72 2014 (Browse shelf(Opens below)) | 29620/19 | Available | MOOL19030034 |
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Annotation The interaction between mathematicians and statisticians reveals to be an effective approach for dealing with actuarial, insurance and financial problems, both in an academic and in an operative perspective. The international conference MAF 2008, held at the University Ca’ Foscari of Venezia (Italy) in 2008, had precisely this purpose, and the collection here published gathers a selection of about the one hundred papers presented at the conference and successively referred and reviewed to this aim. They cover a wide variety of subjects in actuarial, insurance and financial fields, all treated in light of the successful cooperation between the two quantitative approaches. The subjects considered in the book are: mathematical models for actuarial sciences and insurance (namely: demographic risk; management of actuarial risks; management in insurance business; solvency-based approaches); mathematical models for finance (namely: energy markets; fund and portfolio management; methods for derivative pricing; risk and volatility models); statistical models in finance (namely: artificial neural networks; clustering techniques; kernel-based and robust estimation methods; multivariate methods for the analysis of financial markets; non-standard probabilistic models). The book is mainly addressed to academicians, practitioners, professionals and researchers.
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