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http://localhost:8081/jspui/handle/123456789/18986| Title: | FUND STANDARDIZATION BINARY GENETIC ALGORITHMS FOR OPTIMIZED PORTFOLIO CONSTRUCTION |
| Authors: | Meena, Deepak |
| Issue Date: | Apr-2024 |
| Publisher: | IIT, Roorkee |
| Abstract: | Modern Portfolio Theory (MPT) forms the foundation of portfolio optimization but carries certain limitations, such as increased computational complexity as portfolio size grows, reliance on pairwise stock relationships, and the inability to calculate the coefficient of variation. This project proposes an innovative portfolio optimization approach leveraging fund with a binary-encoded genetic algorithm to address these challenges. |
| URI: | http://localhost:8081/jspui/handle/123456789/18986 |
| Research Supervisor/ Guide: | Gangopadhyay, Aditi |
| metadata.dc.type: | Dissertations |
| Appears in Collections: | MASTERS' THESES (Maths) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 22616015_DEEPAK MEENA.pdf | 4.03 MB | Adobe PDF | View/Open |
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