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
Link To Document :
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