| Author: | Liu, Shun-chuen Sammy |
| Title: | Stock option appraisal system : a knowledge-based DSS prototype for the Hong Kong stock option investment appraisal |
| Degree: | M.Sc. |
| Year: | 1997 |
| Subject: | Investment of public funds -- China -- Hong Kong Hong Kong Housing Authority Decision support systems Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Computing |
| Pages: | iii, [193] leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | This paper presents the application of a knowledge-based decision support system to assist users to identify and evaluate all decision variables/risks; compress time for approval; and improve the quality of investment decision at reasonable cost. A prototype is developed in accordance with the theories of fundamental and technical analysis of stock investment. Indeed, the main objective of the system is to improve the processes of the Funds Management of Hong Kong Housing Authority in order to facilitate management in making decision on the day-to-day investment activities, to reduce the time and manual effort in the whole processes and to increase the investment yield is inevitable. Furthermore, it is expected to improve the chances of widely diversification of the financial instruments through the use of Decision Support System. The evaluation of the prototype shows positively the improvement of the rate of return on the fund management. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b14054310.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 6.9 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/723