The development in corporate governance and the practice play important role in developing and enhancing the global economy, business firms and improving financial stability of deposit money banks. The rising of non-performing loans, decline in asset quality, credit concentration and high foreign exchange exposure and volatility have led to financial instability and financial distress in deposit money banks in Nigeria. The study examined the effect of corporate governance on the financial stability of deposit money banks in Nigeria. Ex-post facto research design was adopted for the study. The population of the study comprised the 21 listed deposit banks on the Nigerian stock exchange as at September 2016. The study made use of a total of 10 banks as sample size which was categorized under the listed deposit money banks in Nigeria. These banks were selected using stratified sampling technique. Data were collected from the annual reports for the period of ten years (2007-2016). Descriptive Statistics test were carried out, hausman test and cross-section random effect test were analyzed. The analysis revealed that all corporate governance variables have a positive and negative effect on capital adequacy at Adj.R2 = 0.052 and F test score of 2.832, capital structure at Adj.R2 = 0.088 and F test score of 4.187, and liquidity at Adj.R2 = 0.004 and F test score of 1.149. Corporate governance has a positive and negative effect on financial stability with P-value of F statistics at 0.000 and Adjusted R2 = 12.9%. The study concluded that corporate governance has a significant effect on financial stability. This means that as the content of corporate governance improves financial stability increases. The study recommended that to increase financial stability, management should focus on ensuring that there is effective corporate governance in the organization.
In this paper we test the effects of rating announcements on systematic risk and abnormal return in Tunisian stocks from 1997 to 2010. We find effects on volatility, risk, and abnormal return around announcements dates indicating that rating agencies provide new information to the market. All types of rating announcements (upgrades/downgrades, reviews and outlook reports), whether positive or negative, have a significant impact on risk and stock price.
This work applied Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach to modelling volatility in Rwanda Exchange rate returns. The Autoregressive (AR) model with GARCH errors was fitted to the daily exchange rate returns using Quasi-Maximum Likelihood Estimation (Q-MLE) method to get the current volatility. Asymptotic consistency and asymptotic normality of estimated parameters were given. Akaike Information criterion was used for appropriate GARCH model selection while Jarque Bera test used for normality testing revealed that both returns and residuals have fat tails behaviour. It was shown that the estimated model fits Rwanda exchange rate returns data well.