This book will be a “must” for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.

зарубежная деловая литература

корпоративные финансы

финансовый менеджмент

Big Data for Insurance Companies

Applied Diffusion Processes from Engineering to Finance

Asset and Liability Management for Banks and Insurance Companies

Semi-Markov Migration Models for Credit Risk

Basic Stochastic Processes

Stochastic Methods for Pension Funds

VaR Methodology for Non-Gaussian Finance

Mathematical Finance