Browsing by Subject "Panel-regression"

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    Open Access
    Corporate governance and financial performance of long-term insurance companies in South Africa
    (2019) Zyambo, Kalwani; Alhassan, Abdul Latif
    The research examines the effect between corporate governance and company-specific variables to financial performance among a sample of long-term insurance companies in South Africa from 2011 to 2016. The study employed a panel regression technique using board size, board independence, audit committee size and CEO tenure as proxies for corporate governance while controlling for firm size, reinsurance usage and leverage. The proxies used for financial performance were underwriting profits, return on assets (ROA) and returns on equity (ROE). The findings show that board size is the only corporate governance variable that is statistically significant with financial performance in the sample of South African longterm insurance providers. The remaining corporate governance variables did not have a statistically significant relationship with financial performance because each company in the sample set them in line with the recommendations outlined in the King Report IV on Corporate Governance. The implication of the adherence to the recommendations in the King Report IV on Corporate Governance reduced the variation in corporate governance structures between the companies in the sample. The findings also show leverage as the only control variable that is statistically significant with financial performance in the sample. The dissertation recommends that the corporate governance guidelines outlined in the King Report IV on Corporate Governance be made statutory in the South African longterm insurance sector, because these guidelines do not adversely affect the financial performance in a statistically significant way. Further, the dissertation recommends a board size ceiling be set in the sector to address the observed negative and statistically significant relationship between board size and financial performance. Finally, the dissertation recommends the use of regulation to limit the amount of leverage that companies in the sector can take on to address the observed negative and statistically significant relationship between leverage and financial performance.