Perna C., Sibillo M. (Eds.) Mathematical and Statistical Methods in Insurance and Finance

Springer – 2008, 221 p.
ISBN: 9788847007031The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection here published gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields, all treated in light of the successful cooperation between the two quantitative methods.Insurance Portfolio Risk Analysis, Solvency, Longevity Risk, Actuarial models, Management in Insurance Business, Stochastic models in Insurance, Analysis of High Frequency Data, Data Mining, Nonparametric methods for the analysis of financial time series, Forecasting from Dynamic Phenomena, Artificial Neural Network, Multivariate Methods for the Analysis of Financial Markets, Stock Market Risk and Selection, Mathematical Models for Derivatives, Stochastic Models for Finance, Stochastic Optimization.