Statistical Portfolio Estimation

ISBN-13: 9781032096490 / Angielski / Miękka / 2021 / 388 str.

Hiroshi Shiraishi; Junichi Hirukawa; Hiroko Kato Solvang

Opis

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. <

Spis treści

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

 

O autorze

Masanobu Taniguchi is a research professor in the Department of Applied Mathematics at Waseda University, Japan.

Hiroshi Shiraishi is a lecturer in the Laboratory of Mathematics, Jikei University School of Medicine, Japan.

Junichi Hirukawa is an associate professor in the Faculty of Science at Niigata University, Japan.

Hiroko Solvang Kato is a researcher and project leader in the Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Norway.