The composition of portfolios is one of the most fundamental and important methods in financial engineering, used to control the risk of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset processes are introduced, including non-Gaussian stationary processes, nonlinear processes, non-stationary processes, and the book provides a framework for statistical inference using local asymptotic normality (LAN). The approach is generalized for portfolio estimation, so that many important problems can be covered.
This book can primarily be used as a reference by researchers from statistics, mathematics, finance, econometrics, and genomics. It can also be used as a textbook by senior undergraduate and graduate students in these fields.
- ISBN13 9781351634137
- Publish Date 1 September 2017 (first published 21 August 2017)
- Publish Status Active
- Publish Country GB
- Publisher Taylor & Francis Ltd
- Imprint Chapman and Hall
- Format eBook
- Pages 378
- Language English