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This study attempts to predict financial distress companies in the consumer products sector in Malaysia using financial distress companies as the dependent variable and financial ratios as the independent variables. Logit Analysis was used as the analysis procedure because financial ratios do not have to be normal if it is used. It is also suitable when the dependent variable is binary in nature. Furthermore, it can also provide the probability of a company being financially distress. In addition, it can also provide us with the sign of the independent variable(s). This study found that the independent variables that can be used to predict financial distress companies in the consumer products sector in Malaysia were debt ratio, total assets turnover ratio and working capital ratio. The findings from the internal validation showed that the prediction model provided a more than 50% chance that the model is accurate for five years before distress. Furthermore, the findings from the external validation showed that the model might be able to be used outside the estimation time period because the overall percentage accuracy were higher than 50% for five years before distress.

The aim of this study was to find out the impact of earnings management on dividend policy of oil and gas companies listed at the Karachi stock exchange. The study uses annual data of oil and gas companies for the period from 2008 to 2015. The dependent and independent variables are dividend policy and earnings management and the three control variables are leverage, return on equity and firm size. Modified cross sectional Jones model (1995) was used for calculating discretionary accruals which has been used as proxy for earnings management whereas measurement of dividend policy has been proxy by dividend payout. The findings from regression analysis indicate that earnings management has insignificant relationship with dividend policy of selected firms in Pakistan. Financial crisis in the world and economic decline period are the main reasons of this relationship. In the decline period the firms try to increase manipulation in earnings as a result the company starts reducing dividend payments. It is concluded that there are some other factors that may influence the pattern of dividend payment in the firms.

This paper attempts to predict financial distress companies in the manufacturing and non-manufacturing sectors in Malaysia using financial distress companies as the dependent variable and financial ratios and macroeconomic variables as the independent variables. Logit Analysis was used as the analysis procedure because ratios do not have to be normal if it is used. It is also suitable when the dependent variable is binary in nature. Furthermore, it can also provide the probability of a company being financially distressed. This study found that the independent variables that can be used to predict financial distress companies in the manufacturing sector in Malaysia were total assets turnover ratio, current ratio, net income to total assets ratio and money supply (M2). However, the independent variables that can be used to predict financial distress companies in the nonmanufacturing sector in Malaysia were debt ratio, working capital ratio, net income to total assets ratio and money supply (M2). This study provides the prediction models of financial distress companies in the manufacturing and non-manufacturing sectors in Malaysia using financial ratios and macroeconomic variables as its independent variables.

Over the last decade, financial institutions, especially the banking sector across emerging markets, have been faced with forceful recapitalizations as a result of numerous global financial crises. The study aims to investigate the effect of bank recapitalization approaches such as mergers and acquisitions, equity issues and interventions (bailouts) on the performance of the Nigerian banking sector. The notion that bank recapitalization heats up has been discussed and still does not present a proper consensus in the available literature. Therefore, topics that involve research on the strategies of recapitalization and their effects on bank performance are of interest in the literature. A survey method was used to gather data and the responses received from the regional, branch and senior managers in the banking sector were used to analyse and check to see if bank recapitalization actually affects the performance of the banking sector.Structural equation modelling (SEM) results indicated that bank recapitalization is positively related to bank performance. The results further revealed that all the recapitalization approaches have a positive and significant effect on bank performance. Thus, the use of recapitalization mechanisms for undercapitalized banks during crises or normal times is highly encouraged for sustainability and in the banking sector, as the backbone of the economy of any nation. Further suggestions for future research directions are also offered.