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The effect of Malaysia general election on stock market returns

Overview of attention for article published in SpringerPlus, November 2016
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129 Mendeley
Title
The effect of Malaysia general election on stock market returns
Published in
SpringerPlus, November 2016
DOI 10.1186/s40064-016-3648-5
Pubmed ID
Authors

Venus Khim-Sen Liew, Racquel Rowland

Abstract

During the latest episode of general election held in Malaysia, it is observed that the FBMKLCI index was lifted 62.52 points in a day soon after the announcement of election outcome. Moreover, the index registered a highest gain of 96.29 points in the middle of the intra-day trade. This suggests that investors who had got the right direction could make profitable intra-day trading the next trading day of the general election date. Results from statistical analysis uncover significant before-election-effect and after-election-effect from the most recent general elections held in Malaysia. Different subsets of macroeconomic variables are found to have significant role on stock market return depending on the market situation. Remarkably, when there was close fight between the two major political parties during the 2008 and 2013 election years, political uncertainty showed up its negative and significant role in influencing the stock market return. The major implication of these findings is that while investors may seek abnormal returns before and after the next general election, which is around the corner, they will have to pay attention on the influence of macroeconomic variables and political uncertainty on stock market return during the election year.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 23%
Student > Master 21 16%
Student > Ph. D. Student 11 9%
Lecturer 8 6%
Lecturer > Senior Lecturer 3 2%
Other 10 8%
Unknown 46 36%
Readers by discipline Count As %
Economics, Econometrics and Finance 31 24%
Business, Management and Accounting 27 21%
Social Sciences 10 8%
Mathematics 5 4%
Chemical Engineering 2 2%
Other 5 4%
Unknown 49 38%