Forecasting Malaysia Airlines share prices using Markov chain

Yeo, Shu Fen (2008) Forecasting Malaysia Airlines share prices using Markov chain. Universiti Malaysia Sabah. (Unpublished)

[img]
Preview
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
Uncontrolled Keywords: forecasting, Malaysia Airline, missing value, Markov chain, interpolation method
Subjects: Q Science > QA Mathematics
Divisions: SCHOOL > School of Science and Technology
Depositing User: MDM SITI AZIZAH IDRIS
Date Deposited: 07 Jan 2014 03:07
Last Modified: 10 Oct 2017 08:07
URI: http://eprints.ums.edu.my/id/eprint/7981

Actions (login required)

View Item View Item