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Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Marco Corazza

    (University of Ca’ Foscari [Venice, Italy])

  • Florence Legros

    (ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Cira Perna

    (UNISA - University of Salerno)

  • Marilena Sibillo

    (UNISA - University of Salerno)

Abstract

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. 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. This volume is addressed to academicians, researchers, Ph.D. students and professionals

Suggested Citation

  • Marco Corazza & Florence Legros & Cira Perna & Marilena Sibillo, 2017. "Mathematical and Statistical Methods for Actuarial Sciences and Finance," Post-Print hal-01776135, HAL.
    • Handle: RePEc:hal:journl:hal-01776135
    DOI: 10.1007/978-3-319-50234-2
    as

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