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http://hdl.handle.net/123456789/1313Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Boah, D. K. | - |
| dc.contributor.author | Adu, I. K. | - |
| dc.contributor.author | Tulasi, V. | - |
| dc.date.accessioned | 2017-11-07T13:50:43Z | - |
| dc.date.available | 2017-11-07T13:50:43Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.issn | 2053-2210 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1313 | - |
| dc.description.abstract | In this paper, the concept of Linear Programming (LP) was applied to Multigrow Insurance Company in Ghana which had a portfolio problem. The company had obtained GH ₵ 200000 cash but had a difficulty in determining how much to invest in each of five investment areas in order to maximize return. Based on the data collected, the problem was formulated as a Linear Programming Problem and solved using Management Scientist Version 5 Software. Optimal portfolio mix was obtained for the Insurance Company. Finally, the total optimal return on the investments of the company was found to be GH ₵ 15980. It is strongly recommended that the Company should adhere to the proposed optimal portfolio mix and also employ at least one operations researcher to assist the Company in its activities | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | European Centre for Research Training and Development UK | en_US |
| dc.relation.ispartofseries | Vol. 3;Issue 5 | - |
| dc.subject | Portfolio | en_US |
| dc.subject | Investment | en_US |
| dc.subject | Linear Programming | en_US |
| dc.subject | Optimal Portfolio Mix | en_US |
| dc.subject | Optimal Return | en_US |
| dc.title | OPTIMAL PORTFOLIO MIX FOR MULTIGROW INSURANCE COMPANY IN GHANA USING LINEAR PROGRAMMING | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Faculty of Mathematical Sciences | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| OPTIMAL PORTFOLIO MIX FOR MULTIGROW INSURANCE COMPANY IN GHANA USING LINEAR PROGRAMMING.pdf | 307.21 kB | Adobe PDF | View/Open |
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