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040 _aBIP US
_dWaSeSS
_cKE-NaKCAU
050 4 _aHG176.5
_b.C72 2011
082 0 0 _a330.015195
_222
245 1 0 _aMathematical and statistical methods for actuarial sciences and finance /
_cMarco Corazza, Claudio Pizzi. (Editors)
260 _aNew York :
_bSpringer,
_c2011.
300 _axv, 314 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references.
506 _aLicense restrictions may limit access.
520 8 _aAnnotation
_bThe 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.
521 _aScholarly & Professional
_bSpringer
650 _aActurial science and finance
_95502
700 1 _aCorazza, Marco.
_95503
700 1 _a Claudio, Pizzi.
773 0 _tSpringerLink ebooks - Mathematics and Statistics (2010)
942 _2lcc
_cBK
999 _c4202
_d4202