This book provides a detailed study of Financial Mathematics. In addition to the extraordinary depth the book provides, it offers a study of the axiomatic approach that is ideally suited for analyzing financial problems. This book is addressed to MBA's, Financial Engineers, Applied Mathematicians, Banks, Insurance Companies, and Students of Business School, of Economics, of Applied Mathematics, of Financial Engineering, Banks, and more.

естественные науки

математика

Mathematical Finance

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

Big Data for Insurance Companies