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Risk Management in Finance and Logistics (Hardcover, 1st ed. 2018): Chunhui Xu, Takayuki Shiina Risk Management in Finance and Logistics (Hardcover, 1st ed. 2018)
Chunhui Xu, Takayuki Shiina
R4,169 Discovery Miles 41 690 Ships in 12 - 19 working days

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.

Risk Management in Finance and Logistics (Paperback, Softcover reprint of the original 1st ed. 2018): Chunhui Xu, Takayuki... Risk Management in Finance and Logistics (Paperback, Softcover reprint of the original 1st ed. 2018)
Chunhui Xu, Takayuki Shiina
R3,797 Discovery Miles 37 970 Ships in 10 - 15 working days

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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