English | 2017 | ISBN: 1466505605 | 405 pages | PDF | 6,6 MB
This book presents an overview of the theory and applications of statistical portfolio estimation. The approach is necessarily mathematical, as the financial data involved is non-Gaussian and non-stationary. The book includes the required background in time series analysis and portfolio theory. It features applications to insurance and finance, and some interesting applications to biomedical and genetic data. MATLAB and R code for all the examples are available via the book website.