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Statistical Portfolio Estimation

By: Hiroko Kato Solvang (Author) , Hiroshi Shiraishi (Author) , Junichi Hirukawa (Author) , Masanobu Taniguchi (Author) , Takashi Yamashita (Author)

Manufacture on Demand

Ksh 32,950.00

Format: Hardback or Cased Book

ISBN-10: 1466505605

ISBN-13: 9781466505605

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Aug 21st, 2017

Publication Status: Active

Product extent: 378 Pages

Weight: 888.00 grams

Dimensions (height x width x thickness): 18.60 x 26.10 x 2.80 cms

Product Classification / Subject(s): Economic statistics
Applied mathematics
Biology, life sciences

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  • Description

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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, nonstationary processes, and the book provides a framework for statistical inference using local asymptotic normality.

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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