Combined Stochastic Process and Value at Risk: A Real-World Information System Decision Case
In this study, we used a combined stochastic process and value-at-risk (VaR) method to examine an electronic commerce expansion decision. By modeling uncertain benefits as a stochastic process, maximum losses of alternative decisions were quantified and compared to help managers to make information...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-12-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/1/47 |