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Huang, X., Zhao, T. and Kudratova, S. (2016) Uncertain Mean-Variance and Mean-Semivariance Models for Optimal Project Selection and Scheduling. Knowledge-Based Systems, 93, 1-11.
https://doi.org/10.1016/j.knosys.2015.10.030

has been cited by the following article:

• TITLE: An Improved Portfolio Optimization Model for Oil and Gas Investment Selection Considering Investment Period

  AUTHORS: Siying Huang

  KEYWORDS: Investment Period, Success Rate, Portfolio, Oil and Gas

  JOURNAL NAME: Open Journal of Social Sciences, Vol.7 No.1, January 16, 2019

  ABSTRACT: Due to the suddenness, uncertainty and huge loss of political risks in overseas projects, this paper considers the time dimension and the success rate of project exploitation for the goal of optimizing the allocation of multiple objectives, such as output, investment, efficiency and risk. A linear portfolio risk decision model is proposed for multiple indicators, such as the uncertainty of project survey results, the inconsistency of project investment time, and the number of projects in unstable political regions. The model is tested by numerical examples and the results show that the model can effectively maximize the portfolio income within the risk tolerance range under the premise of ensuring the rational allocation of resources.