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Risk management in finance and logistics

Shiina, Takayuki.

Risk management in finance and logistics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Risk management in finance and logisticsby Chunhui Xu, Takayuki Shiina.
Author:	Xu, Chunhui.
other author:	Shiina, Takayuki.
Published:	Singapore :Springer Singapore :2018.
Description:	xiii, 185 p. :digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Risk managementMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-981-13-0317-3
ISBN:	9789811303173$q(electronic bk.)

Risk management in finance and logistics
Xu, Chunhui.

Risk management in finance and logistics[electronic resource] /by Chunhui Xu, Takayuki Shiina. - Singapore :Springer Singapore :2018. - xiii, 185 p. :digital ;24 cm. - Translational systems sciences,v.142197-8832 ;. - Translational systems sciences ;v.1..

Part I Risk Management in Finance -- Financial Investment, Financial Risk and Risk Management -- Market Risk Measures in Financial Investments -- Market Risk Control in Investment Decisions -- Market Risk Measures for Flexible Investments -- Market Risk Control in Flexible Investment Decisions -- Part II Risk Management in Logistics -- Basic Results on Stochastic Programming -- Inventory Distribution Problem -- Reorganization of Logistics Network -- Notations in Part I -- Historical prices and monthly profit rates of IBM and INTC: Data used in Chapter 2 -- Historical prices of 10 components of the DJIA: data used in Chapter 5.

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.

ISBN: 9789811303173$q(electronic bk.)

Standard No.: 10.1007/978-981-13-0317-3doiSubjects--Topical Terms:

190592
Risk management
--Mathematical models.

LC Class. No.: HD61 / .X834 2018

Dewey Class. No.: 658.1550151

Risk management in finance and logistics
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505 0 $a Part I Risk Management in Finance -- Financial Investment, Financial Risk and Risk Management -- Market Risk Measures in Financial Investments -- Market Risk Control in Investment Decisions -- Market Risk Measures for Flexible Investments -- Market Risk Control in Flexible Investment Decisions -- Part II Risk Management in Logistics -- Basic Results on Stochastic Programming -- Inventory Distribution Problem -- Reorganization of Logistics Network -- Notations in Part I -- Historical prices and monthly profit rates of IBM and INTC: Data used in Chapter 2 -- Historical prices of 10 components of the DJIA: data used in Chapter 5.
520 $a 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.
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