Mathematical and Statistical Methods for Actuarial Sciences and Finance

  • Cira Perna
  • Marilena Sibillo

Table of contents

  1. Front Matter
    Pages I-XII
  2. Giuseppina Albano, Francesco Giordano, Cira Perna
    Pages 1-9
  3. Alessandra Amendola, Marialuisa Restaino, Luca Sensini
    Pages 11-18
  4. Flavia Barsotti, Maria Elvira Mancino, Monique Pontier
    Pages 19-26
  5. Alexis Bienvenüe, Didier Rullière
    Pages 35-42
  6. Stefano Bonini, Giuliana Caivano
    Pages 43-52
  7. Vincenzo Capasso, Ralf Engbers, Davide La Torre
    Pages 61-68
  8. Marta Cardin, Miguel Couceiro
    Pages 79-86
  9. Rocco Roberto Cerchiara, Fabio Lamantia
    Pages 87-94
  10. Claudio Conversano, Alessio Lizzeri
    Pages 105-113
  11. Mariarosaria Coppola, Albina Orlando, Massimiliano Politano
    Pages 115-122
  12. Michele Costa, Luca De Angelis, Leonard J. Paas
    Pages 131-138
  13. Areski Cousin, Diana Dorobantu, Didier Rullière
    Pages 139-147
  14. Valeria D’Amato, Emilia Di Lorenzo, Maria Russolillo, Marilena Sibillo
    Pages 149-156
  15. Valeria D’Amato, Gabriella Piscopo, Maria Russolillo
    Pages 157-164

About this book

Introduction

The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out to this aim.

Keywords

Actuarial Models Mathematical models for finance Models and methods for financial time series analysis Quantitative Finance Stochastic models for finance

Editors and affiliations

  • Cira Perna
    • 1
  • Marilena Sibillo
    • 1
  1. 1.Department of Economics and StatisticsUniversity of SalernoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-88-470-2342-0
  • Copyright Information Springer-Verlag Italia Srl. 2012
  • Publisher Name Springer, Milano
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-88-470-2341-3
  • Online ISBN 978-88-470-2342-0
  • About this book