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Junichi Hirukawa & Hiroshi Shiraishi 
Statistical Portfolio Estimation [PDF ebook] 

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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.

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Language English ● Format PDF ● Pages 388 ● ISBN 9781466505612 ● Publisher CRC Press ● Published 2017 ● Downloadable 3 times ● Currency EUR ● ID 5355165 ● Copy protection Adobe DRM
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