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...

Full description

Bibliographic Details
Main Authors: Liang-Chuan Wu, Liang-Hong Wu, Fan-Yun Pai
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/1/47

Similar Items