谷口正信・白石博・蛭川潤一（他）編／統計的ポートフォリオ推測 Statistical Portfolio Estimation

Taniguchi, Masanobu/ Shiraishi, Hiroshi/ Hirukawa, Junichi

CRC Press Inc（2017/08発売）

• 製本 Hardcover:ハードカバー版／ページ数 378 p.
• 言語 ENG
• 商品コード 9781466505605
• DDC分類 332.6015195

Full Description

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.

Contents

Introduction

Preliminaries

Portfolio Theory for Dependent Return Processes

Multiperiod Problem for Portfolio Theory

Portfolio Estimation based on Rank Statistics

Portfolio Estimation Influence by Non-Gaussian Innovatin and Exogenous Variables

Numerical Examples

Theoretical Foundations and Technicalities