Skip to main content
Book cover

Risk Management in Finance and Logistics

  • Book
  • © 2018

Overview

  • Introduces the major quantitative tools in risk management: optimization and stochastic programming.
  • Presents new concepts and methods for risk management in the more common financial investment situations.
  • Contains research results for risk control in inventory distribution and network design.

Part of the book series: Translational Systems Sciences (TSS, volume 14)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Risk Management in Finance

  2. Risk Management in Logistics

Keywords

About this book

This is the first book to introduce the major quantitative tools in risk management taking financial investments and logistics planning as the background: optimization and stochastic programming. Contained here are the fundamentals of portfolio selection theory from the point of view of risk control, and methods for risk control with new and popular risk measures such as VaR (Value-at-Risk) and CVaR (Conditional VaR). The book also introduces a new theory for risk management in more general investment situations such as flexible investment decisions, providing an accessible and comprehensive introduction to the interrelations between these fields of research. Basic concepts of stochastic programming are introduced, and their applications to risk management in inventory distribution and network design are covered as well. Illustrated by carefully chosen examples and supported by extensive data analyses, this book is highly recommended to readers who seek an in-depth and up-to-date integrated overview of the ever-expanding theoretical and quantitative fields of risk management in financial investment and logistics planning.

Authors and Affiliations

  • Department of Risk Science in Finance and Management, Chiba Institute of Technology, Chiba, Japan

    Chunhui Xu

  • Department of Industrial and Management Systems Science, Waseda University, Tokyo, Japan

    Takayuki Shiina

About the authors

Dr. Chunhui Xu is a professor in Finance and Management Science, Chiba Institute of Technology, Japan. He completed his Doctoral degree in Engineering at Tokyo Institute of Technology, and PhD in systems Engineering at Huazhong University of Science and Technology, China. His research addresses decision under uncertainty and conflicting interests, especially in financial area. Other interests include game theories, optimization techniques, and incentives design in organizations. He has served as Editor-in-Chief of Asian Journal of Management Science and Applications.  He is a senior member of IEEE and a member of INFORMS.
 
Dr. Takayuki Shiina is a professor at Department of Industrial and Management Systems Science, School of Creative Science and Engineering, Waseda University, Japan. He received his B.E., M.E., and Doctor of Engineering from Waseda University. He has been working in the field of mathematical programming at Central Research Instituteof Electric Power Industry (Japan), Northwestern University (USA), Chiba Institute of Technology (Japan). His main areas of interest are stochastic programming and integer programming. He was awarded the best paper prize with Professor John R. Birge (University of Chicago) from Japan Society of Industrial and Applied Mathematics.

Bibliographic Information

Publish with us