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Document Type |
: |
Article In Journal |
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Document Title |
: |
Use of Regression and Triple Exponential Smoothing Models for Forecasting Share Prices of Saudi Companies استخدام نماذج التوقعات الأسية من الدرجة الثالثة للتنبؤ بأسعار أسهم الشركات السعودية |
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Subject |
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Booh Review |
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Document Language |
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Arabic |
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Abstract |
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Over the past few years, the local Saudi shares market witnessed a rising
interest as more investors began investing their money in buying, shares of some of the
local companies. The formation of new companies and corporations having great
potential success, led even to more interest in the shares market. This paper provides a
quantitative study of the Saudi shares market. The period of study, which covers all the
55 companies in the market is one year. The general trends associated with the shares
prices changes during the year of study, have been investigated to enable the use of an
appropriate time series model for forecasting. The ranking of the various sectors with
respect to volume and value of shares traded, shows that banks industrial, services and
cement companies are on top while electricity and agricultural companies are last. Also
banks, services, industrial, and cement companies have the highest average percentage
of share price increase of 61.8%, 50.64%, 39.7%, and 27.2 respectively, while the
electricity and agricultural sectors showed a decrease of 9% and 0.96% for the same
period. Based on the trends analysis investigation, the triple exponential smoothing
method is used to forecast future share prices for some companies. Comparisons with
regression models are also discussed. |
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ISSN |
: |
1319-0997 |
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Journal Name |
: |
Economics and Administration Journal |
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Volume |
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4 |
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Issue Number |
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1 |
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Publishing Year |
: |
1411 AH
1991 AD |
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Article Type |
: |
Article |
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Added Date |
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Sunday, October 11, 2009 |
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Researchers
| مصطفى محمد الأدريسي | MUSTAFA M. AL-IDRISI | Researcher | | |
|