4.6 Article

Project Portfolio Construction Using Extreme Value Theory

期刊

SUSTAINABILITY
卷 13, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/su13020855

关键词

portfolio optimization; extreme value theory; GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models; volatility clustering; distribution

向作者/读者索取更多资源

Proper project selection is crucial for organizational success, involving evaluation of risks and returns and determination of relevant distributions.
Choosing proper projects has a great impact on organizational success. Firms have various factors for choosing projects based on their different objectives and strategies. The problem of optimization of projects' risks and returns is among the most prevalent issues in project portfolio selection. In order to optimize and select proper projects, the amount of projects' expected risks and returns must be evaluated correctly. Determining the relevant distribution is very important in achieving these expectations. In this research, various types of practical distributions were examined, and considering expected and realized risks, the effects of choosing the different distribution on estimation of risks on construction projects were studied.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据