Yeo, Shu Fen (2008) Forecasting Malaysia Airlines share prices using Markov chain. Universiti Malaysia Sabah. (Unpublished)
|
Text
ae0000001746.pdf Download (1MB) | Preview |
Abstract
Forecasting share prices remains the most demanding and exhilarating research among other forecasting activities. The particular stock of interest in this study is the national carrier, Malaysia Airlines or famously abbreviated as MAS. Rather than the usual way of time-series forecasting, this study uses Markov chain, a special kind of stochastic process. The historical data used to make forecast is from the period of 3 January 2000 until 31 October 2007. Besides forecasting, an interpolation method known as cubic spline is used to estimate missing values in the share prices. The purpose of estimating missing values is to look at the effect in forecasting. At the end of this study, however, the forecast by Markov chain has yet to be proven accurate. Moreover, the role of missing values does not contribute to the forecast significantly
| Item Type: | Academic Exercise |
|---|---|
| Keyword: | forecasting, Malaysia Airline, missing value, Markov chain, interpolation method |
| Subjects: | Q Science > QA Mathematics |
| Department: | SCHOOL > School of Science and Technology |
| Depositing User: | SITI AZIZAH BINTI IDRIS - |
| Date Deposited: | 07 Jan 2014 11:07 |
| Last Modified: | 10 Oct 2017 16:07 |
| URI: | https://eprints.ums.edu.my/id/eprint/7981 |
Actions (login required)
 |
View Item |