Mathematical and Statistical Methods for Actuarial Sciences and Finance

  • Marco Corazza
  • Claudio Pizzi

Table of contents

  1. Front Matter
    Pages I-XV
  2. Laura Ballester, Román Ferrer, Cristóbal Gonález
    Pages 1-11
  3. Diana Barro, Elio Canestrelli
    Pages 13-21
  4. Cristina Bencivenga, Giulia Sargenti, Rita L. D’Ecclesia
    Pages 23-32
  5. Michele Leonardo Bianchi, Svetlozar T. Rachev, Young Shin Kim, Frank J. Fabozzi
    Pages 33-42
  6. Catalina Bolancé, Montserrat Guillén, Jens Perch Nielsen
    Pages 43-51
  7. Marta Cardin, Elisa Pagani
    Pages 63-73
  8. Paola Cerchiello, Maria Iannario, Domenico Piccolo
    Pages 75-83
  9. Rosa Cocozza, Emilia Di Lorenzo, Albina Orlando, Marilena Sibillo
    Pages 85-92
  10. Marco Corazza, Andrea Ellero, Alberto Zorzi
    Pages 93-102
  11. Pietro Coretto, Maria Lucia Parrella
    Pages 103-112
  12. Antonio Díaz, Francisco Jareño, Eliseo Navarro
    Pages 123-131
  13. Fernanda D’Ippoliti, Enrico Moretto, Sara Pasquali, Barbara Trivellato
    Pages 133-142
  14. Cinzia Franceschini, Nicola Loperfido
    Pages 143-152
  15. Luca Grilli, Massimo Alfonso Russo, Angelo Sfrecola
    Pages 153-162
  16. Michele La Rocca, Domenico Vistocco
    Pages 163-172
  17. Susanna Levantesi, Massimiliano Menzietti
    Pages 173-182
  18. Francesco Lisi, Edoardo Otranto
    Pages 183-191

About these proceedings

Introduction

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.

Keywords

Statistical Models linear optimization mathematical methods optimization quantitative finance statistical method statistical methods statistics

Editors and affiliations

  • Marco Corazza
    • 1
  • Claudio Pizzi
    • 2
  1. 1.Department of Applied MathematicsUniversity Ca’ Foscari VeniceVeniceItaly
  2. 2.Department of StatisticsUniversity Ca’ Foscari VeniceVeniceItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-88-470-1481-7
  • Copyright Information Springer-Verlag Milan 2010
  • Publisher Name Springer, Milano
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-88-470-1480-0
  • Online ISBN 978-88-470-1481-7
  • About this book