Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2016

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Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2016

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2016

2018-02-20 Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2016

Description

His combines his academic activities with consulting services.Prof. About the AuthorMarco Corazza PhD in "Mathematics for the Analysis of Financial Markets" is an associate professor at the Department of Economics of the Ca' Foscari University of Venice (Italy). She has been a member of several scientific committees of national and international conferences.Prof. Marilena Sibillo is a professor of Mathematical Methods for Economics, Finance and Actuarial Sciences at the University of Salerno (Italy). Her research addresses ageing, pensions, social policies, savings and their effects on economic growth and financial flows. He is also editor-in-chief of the international scientific journal "Mathematical Methods in Economics and Finance", and is a member of the scientific committees of several conferences and of some private companies. She has acted as a

Her research addresses ageing, pensions, social policies, savings and their effects on economic growth and financial flows. Marco Corazza PhD in "Mathematics for the Analysis of Financial Markets" is an associate professor at the Department of Economics of the Ca' Foscari University of Venice (Italy). Between 1999 and 2004 she was deputy

This volume gathers selected peer-reviewed papers presented at the "International MAF Conference 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance" held in Paris at the University of Paris-Dauphine from March 30 to April 1, 2016. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest.. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance