Factors affecting abnormal trades in Malaysian stock market
This study tries to analyze how illegal insider activities respond to company information environment factors. A cross section dataset consisting of 120 companies listed in Bursa Malaysia from 2009 to 2014 were being sampled to draw a total of 840 observations for this study. Meulbroek‘s (1992) abno...
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my-mmu-ep.56692015-06-30T07:06:41Z Factors affecting abnormal trades in Malaysian stock market 2014-06 Lim, Kean Hua HG Finance HG4501-6051 Investment, capital formation, speculation This study tries to analyze how illegal insider activities respond to company information environment factors. A cross section dataset consisting of 120 companies listed in Bursa Malaysia from 2009 to 2014 were being sampled to draw a total of 840 observations for this study. Meulbroek‘s (1992) abnormal trade analysis had been use as proxy for illegal insider trade probability. Using OLS regression, firm size, institutional and non-institutional ownership had been found to be dominant predictors for illegal trade activity, all of which represent information asymmetry measures. M/B ratio and leverage ratio representing company valuation and risk factor is the other significant variables. P/E ratios are found in this study to be insignificant in predicting illegal insider trading in Malaysia. The results can help authorities to shape a better illegal trade detection mechanism and also help Malaysian investors to gauge their information risk more accurately. 2014-06 Thesis http://shdl.mmu.edu.my/5669/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Graduate School of Management |
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Multimedia University |
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MMU Institutional Repository |
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HG Finance HG Finance |
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HG Finance HG Finance Lim, Kean Hua Factors affecting abnormal trades in Malaysian stock market |
| description |
This study tries to analyze how illegal insider activities respond to company information environment factors. A cross section dataset consisting of 120 companies listed in Bursa Malaysia from 2009 to 2014 were being sampled to draw a total of 840 observations for this study. Meulbroek‘s (1992) abnormal trade analysis had been use as proxy for illegal insider trade probability. Using OLS regression, firm size, institutional and non-institutional ownership had been found to be dominant predictors for illegal trade activity, all of which represent information asymmetry measures. M/B ratio and leverage ratio representing company valuation and risk factor is the other significant variables. P/E ratios are found in this study to be insignificant in predicting illegal insider trading in Malaysia. The results can help authorities to shape a better illegal trade detection mechanism and also help Malaysian investors to gauge their information risk more accurately. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Lim, Kean Hua |
| author_facet |
Lim, Kean Hua |
| author_sort |
Lim, Kean Hua |
| title |
Factors affecting abnormal trades in Malaysian stock market |
| title_short |
Factors affecting abnormal trades in Malaysian stock market |
| title_full |
Factors affecting abnormal trades in Malaysian stock market |
| title_fullStr |
Factors affecting abnormal trades in Malaysian stock market |
| title_full_unstemmed |
Factors affecting abnormal trades in Malaysian stock market |
| title_sort |
factors affecting abnormal trades in malaysian stock market |
| granting_institution |
Multimedia University |
| granting_department |
Graduate School of Management |
| publishDate |
2014 |
| _version_ |
1747829584115531776 |