Project Portfolio Construction Using Extreme Value Theory
| Autor: | Jolanta Tamošaitienė, Hamed Tabasi, Vahidreza Yousefi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
extreme value theory
Computer science Geography Planning and Development lcsh:TJ807-830 0211 other engineering and technologies lcsh:Renewable energy sources Distribution (economics) 02 engineering and technology Management Monitoring Policy and Law portfolio optimization GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models Order (exchange) volatility clustering 021105 building & construction 0502 economics and business distribution Extreme value theory Selection (genetic algorithm) lcsh:Environmental sciences Estimation lcsh:GE1-350 Volatility clustering Renewable Energy Sustainability and the Environment business.industry lcsh:Environmental effects of industries and plants 05 social sciences lcsh:TD194-195 Risk analysis (engineering) Project portfolio management Portfolio optimization business 050203 business & management |
| Zdroj: | Sustainability, Vol 13, Iss 855, p 855 (2021) Sustainability Volume 13 Issue 2 |
| ISSN: | 2071-1050 |
| Popis: | 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&rsquo 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&rsquo 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. |
| Databáze: | OpenAIRE |
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