The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics

This study investigates the impact of profitability, debt, firm size and impact of different type of substantial shareholder (government and foreign) to the dividend payout by 365 dividend initiator from 813 firms of public listed company excluding banking sector in Malaysia during pandemic Covid-19...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखक: Mohamad Haikal, Abd Rahim
स्वरूप: थीसिस
भाषा:अंग्रेज़ी
अंग्रेज़ी
प्रकाशित: 2022
विषय:
ऑनलाइन पहुंच:https://etd.uum.edu.my/11126/1/depositpermission-824424.pdf
https://etd.uum.edu.my/11126/2/s824424_01.pdf
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author Mohamad Haikal, Abd Rahim
author_facet Mohamad Haikal, Abd Rahim
author_sort Mohamad Haikal, Abd Rahim
description This study investigates the impact of profitability, debt, firm size and impact of different type of substantial shareholder (government and foreign) to the dividend payout by 365 dividend initiator from 813 firms of public listed company excluding banking sector in Malaysia during pandemic Covid-19. The result revealed the determinants had slightly difference before and during the pandemic period. Before pandemic period in 2019, the firms size and concentration foreign shareholding are positive significant while leverage is negative significant. However, during pandemic period in 2020, profitability had added with a group of firms size and concentration foreign shareholding to be positively significant and leverage maintain to be negative significant. The changes are driven by healthiest of cash flows of the firms. That because during pandemic all business operation were disrupted and causing some business sectors unable to be operate due to proactive action taken by government in order to outbreaks of Covid-19 transmission. The findings from this research are important to investors to select the firms that has stable dividend payout during crisis period based on determinants that was obtained during different period of time. The data is acquired through Thomson Reuters DataStream from year 2019 to 2020. Descriptive statistics are used to compile a data package that reflects a population or a sample by understanding the short descriptive coefficients. The correlation analysis is conducted to identify the strength and direction of the linear connection of the structure. The study does multiple regression analysis and a specification of a fixed effect. In this study, the Vector Inflation Factors(VIF) addressed the multicollinearity issues between independent variables.
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spelling oai:etd.uum.edu.my:111262024-05-27T03:11:37Z https://etd.uum.edu.my/11126/ The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics Mohamad Haikal, Abd Rahim HG Finance This study investigates the impact of profitability, debt, firm size and impact of different type of substantial shareholder (government and foreign) to the dividend payout by 365 dividend initiator from 813 firms of public listed company excluding banking sector in Malaysia during pandemic Covid-19. The result revealed the determinants had slightly difference before and during the pandemic period. Before pandemic period in 2019, the firms size and concentration foreign shareholding are positive significant while leverage is negative significant. However, during pandemic period in 2020, profitability had added with a group of firms size and concentration foreign shareholding to be positively significant and leverage maintain to be negative significant. The changes are driven by healthiest of cash flows of the firms. That because during pandemic all business operation were disrupted and causing some business sectors unable to be operate due to proactive action taken by government in order to outbreaks of Covid-19 transmission. The findings from this research are important to investors to select the firms that has stable dividend payout during crisis period based on determinants that was obtained during different period of time. The data is acquired through Thomson Reuters DataStream from year 2019 to 2020. Descriptive statistics are used to compile a data package that reflects a population or a sample by understanding the short descriptive coefficients. The correlation analysis is conducted to identify the strength and direction of the linear connection of the structure. The study does multiple regression analysis and a specification of a fixed effect. In this study, the Vector Inflation Factors(VIF) addressed the multicollinearity issues between independent variables. 2022 Thesis NonPeerReviewed text en https://etd.uum.edu.my/11126/1/depositpermission-824424.pdf text en https://etd.uum.edu.my/11126/2/s824424_01.pdf Mohamad Haikal, Abd Rahim (2022) The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics. Masters thesis, Universiti Utara Malaysia.
spellingShingle HG Finance
Mohamad Haikal, Abd Rahim
The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics
title The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics
title_full The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics
title_fullStr The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics
title_full_unstemmed The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics
title_short The Investigation of The Determinants of Dividend Payout in Malaysia: Impact of Covid-19 Pandemics
title_sort investigation of the determinants of dividend payout in malaysia impact of covid 19 pandemics
topic HG Finance
url https://etd.uum.edu.my/11126/1/depositpermission-824424.pdf
https://etd.uum.edu.my/11126/2/s824424_01.pdf
url-record https://etd.uum.edu.my/11126/
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