DocumentCode
1844239
Title
Multiple product newsvendor problem based on different risk measurements
Author
Zhou, Yan-Ju ; Chen, Qian
Author_Institution
Bus. Sch., Central South Univ., Changsha, China
Volume
1
fYear
2011
fDate
13-15 May 2011
Firstpage
794
Lastpage
798
Abstract
Different risk constraint represents the different decision-making process of decision-makers. This paper use the traditional Mean-Variance, Value at Risk and Conditional Value at Risk which are from financial engineering to establish the optimum order risk decision model under the assumption of normal distribution. In order to illustrate the characteristics of different risk measurement constraint, the solutions among those three models is compared by numerical examples and their decision-making behaviors are summarized accordingly. In addition, Monte Carlo technique is used to get the sample simulation. According to the result of the three models, this paper compares these risk measurement and analyzes the relative advantages of Conditional Value at Risk to Mean-Variance and Value at Risk.
Keywords
Monte Carlo methods; decision making; financial management; normal distribution; risk management; stock control; Monte Carlo technique; conditional value at risk; decision making process; financial engineering; mean variance; multiple product newsvendor problem; normal distribution; optimum order risk decision model; risk measurement; Analytical models; Approximation methods; Decision making; Numerical models; Portfolios; Reactive power; Stochastic processes; Conditional Value at Risk; Mean-Variance; Value at Risk; multiple product newsvendors;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5917056
Filename
5917056
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