Statistical Portfolio Estimation (Paperback)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	June 2021
First published:	2018
Authors:	Masanobu Taniguchi • Hiroshi Shiraishi • Junichi Hirukawa • Hiroko Kato Solvang • Takashi Yamashita
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	388
ISBN-13:	978-1-03-209649-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > Economic statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-03-209649-7
Barcode:	9781032096490

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