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Mathematical and statistical methods for actuarial sciences and finance : EMAF2020
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ISBN: 3030789640 3030789659 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Book
Mathematical and statistical methods for actuarial sciences and finance
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ISBN: 3030996379 3030996387 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Keywords

Finance --- Insurance --- Statistical methods. --- Mathematical models. --- Matemàtica actuarial --- Finances --- Models matemàtics --- Estadística matemàtica --- Estadística descriptiva --- Inferència estadística --- Matemàtica estadística --- Mètodes estadístics --- Estadística --- Anàlisi d'error (Matemàtica) --- Anàlisi de regressió --- Anàlisi de sèries temporals --- Anàlisi de variància --- Anàlisi multivariable --- Anàlisi seqüencial --- Astronomia estadística --- Correlació (Estadística) --- Dependència (Estadística) --- Estadística no paramètrica --- Estadística robusta --- Física estadística --- Mètode dels moments (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Teoria de l'estimació --- Teoria de la predicció --- Tests d'hipòtesi (Estadística) --- Biometria --- Mostreig (Estadística) --- Models (Matemàtica) --- Models experimentals --- Models teòrics --- Mètodes de simulació --- Anàlisi de sistemes --- Mètode de Montecarlo --- Modelització multiescala --- Models economètrics --- Models multinivell (Estadística) --- Programació (Ordinadors) --- Simulació per ordinador --- Teoria de màquines --- Models biològics --- Economia financera --- Operacions financeres --- Economia --- Actius financers derivats --- Amortització --- Beneficis --- Bons --- Borsa de valors --- Capital --- Capitalistes --- Crèdit --- Deflació --- Dones en les finances --- Enginyeria financera --- Entitats financeres --- Especulació --- Finances eclesiàstiques --- Finances internacionals --- Finances privades --- Finances públiques --- Gestió financera --- Gestió pressupostària --- Mercat financer --- Qüestió monetària --- Càlcul actuarial --- Ciència actuarial --- Matemàtica financera


Book
L'n -esimo eserciziario di Matematica Finanziaria
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ISBN: 8892162810 Year: 2016 Publisher: Turin, [Italy] : G. Giappichelli Editore,

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L'n-esimo eserciziario di Matematica Finanziaria
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ISBN: 8892170899 Year: 2017 Publisher: Torino, [Italy] : G. Giappichelli Editore,

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Book
Mathematical and Statistical Methods for Actuarial Sciences and Finance : MAF2024
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ISBN: 3031642732 Year: 2024 Publisher: Cham : Springer Nature Switzerland : Imprint: Springer,

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The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance – MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference. The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF. The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background.


Book
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Authors: ---
ISBN: 331902499X 3319024981 1322133697 Year: 2014 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; defined benefit pension plans; double-indexed pension annuities; efficient-market hypothesis; exchange markets; financial time series; firms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. This book is aimed at academics, Ph.D. students, practitioners, professionals and researchers. But it will also be of interest to readers with some quantitative background knowledge.


Digital
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Authors: ---
ISBN: 9783319024998 Year: 2014 Publisher: Cham Springer International Publishing

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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; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; defined benefit pension plans; double-indexed pension annuities; efficient-market hypothesis; exchange markets; financial time series; firms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. This book is aimed at academics, Ph.D. students, practitioners, professionals and researchers. But it will also be of interest to readers with some quantitative background knowledge.


Digital
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Authors: ---
ISBN: 9788847014817 9788847014824 9788847014800 9788847039063 Year: 2010 Publisher: Milano Springer

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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.


Book
Mathematical and statistical methods for actual sciences and finance.
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ISBN: 9783319024981 Year: 2014 Publisher: Cham Springer

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Book
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Authors: --- ---
ISBN: 9788847014817 9788847014800 Year: 2010 Publisher: Milano Springer Milan

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Abstract

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.

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