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The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.

The key purpose of this research paper is to explore the moderating effect of Corporate Governance on the relationship between accounting base financial performance i.e. ROA, and ROE and Capital Structure of 173 Manufacturing firms listed in KSE of Pakistan for the period of 2009 to 2014. In this study multiple regression method is used under fixed effect regression model approach on panel data. The empirical results show that the inclusion of Corporate Governance Index (CGI) as moderating variable has influenced the interaction between Capital Structure and Financial Performance which was positively significant. The result is generally found that the most of Pakistani manufacturing listed firms pursue good corporate governance mechanism and use good and optimal level of Capital Mix to get the better and high financial performance. Furthermore, the corporate governance sub-indices i.e. board structure (BOD-I) and transparency & disclosure (DISC-III) both also have positive and statistically significant association with both firms performance variables: ROA and ROE. Moreover, the ownership structure sub-index (OWS-II) has not significant influence on financial performance. In last, the capital structure also has positive relationship with financial performance, interestingly about 70 per cent of Capital is financed by Equity capital and the Debt capital signifies 30 per cent only. The core significance of this paper is to investigate the impact of Corporate Governance practices on financial decisions from the Pakistani perspective.

In this research paper we investigated the determinants likely to influence the adoption of mobile banking services, with a special focus on under banked/unbanked low-income population of Pakistan. The adoption of mobile banking services has been a strategic goal, both for banks and telcos. For this purpose, Technology Acceptance Model (TAM) was used, with additional determinants of perceived risk and social influence. Data was collected by surveying 372 respondents from the two largest cities (Karachi and Hyderabad) of the province Sindh, in Pakistan using judgement sampling method. This study empirically concluded that consumers’ intention to adopt mobile banking services was significantly influenced by social influence, perceived risk, perceived usefulness, and perceived ease of use. The most significant positive impact was of social influence on consumers’ intention to adopt mobile banking services. The paper concluded with discussion on results, and several business implications for the banking industry of Pakistan.