Abstract
This study aims to determine whether there are relationships between FTSE Bursa Malaysia KLCI fluctuations with the weather conditions in Malaysia. For the purpose of this study, the performance of KLCI is investigated based on the period starting from January 1, 2009 until December 31, 2009. This study was conducted using 4 important weather variables in Malaysia which is sunshine, cloud cover, rainfall and temperature level with the returns on KLCI on that particular year by using multiple linear regression models in determining the relationships between dependent and independent variables. The findings reveal that there is a significant relationship between extremely-high rainfalls with the stock returns compared to the other weather variables.
Keywords: Stock Market Returns, Weather Factors, Regression Models
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Jabir, Rasida 2011158447 |
Contributors: | Contribution Name Email / ID Num. Advisor Bujang, Imbarine imbar074@uitm.edu.my Advisor Musneh, Rapheedah raphe473@uitm.edu.my Advisor Karia, Abdul Aziz abdulaziz@uitm.edu.my |
Subjects: | H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock exchanges. Insider trading in securities H Social Sciences > HG Finance > Investment, capital formation, speculation > Stock exchanges. Insider trading in securities > Malaysia |
Divisions: | Universiti Teknologi MARA, Sabah > Kota Kinabalu Campus > Faculty of Business and Management |
Programme: | Bachelor of Business Administration (Hons) Finance |
Keywords: | Stock markets returns; Weather Factors; Regression models |
Date: | 2014 |
URI: | https://ir.uitm.edu.my/id/eprint/78750 |
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