Efficient and stable performance of the banking system underpins sustainable growth of any economy. Of late, several economic reforms have been initiated in India for facilitating growth and withstanding dynamics of global economy. In this context, the current study compares the performance of the selected private and public sector banks in India on a five year time horizon in order to discern any changes in the performance over a period of time. First, the performance of the selected banks are examined in terms of management efficiency perspective using a Multi-Criteria Decision Making (MCDM) technique such as Combinative Distance-based Assessment (CODAS) when an Entropy method is also employed for determining criteria weight. The study also applies k-Means Clustering for checking consistency of performance based ranking with asset management efficiency. Finally, the paper delves into the relationship between financial and market performance. The study has found consistent results and observed private sector banks perform better than the public sector.

This study examined the association between fair value accounting and reliability of accounting information. The study adopted survey research along with quantitative methods. Users of the accounting information represented by corporate investment analysts and corporate portfolio managers were the respondents for the purpose of this study. The population size was one hundred and sixty-one (161) users of accounting information decomposed into one hundred (100) corporate investment analysts and sixty-one (61) corporate portfolio managers. The primary source of data was employed with the structured questionnaire as an instrument used to collect the data. Data was collected through the administration of 161 copies of the questionnaire to both corporate investment analysts and corporate portfolio managers. One hypothesis was formulated and was tested using the Pearson product moment correlation technique at a significant level of 5% and 10% while the Statistical Package for Social Science (SPSS) was engaged to analyze the data. Findings revealed a significant association between fair value accounting and reliability of accounting information of the firms in Nigeria. Hence, the study recommended that adequate and regular training programs and conferences on fair value accounting application have to be organized. This is because most of the employees of the companies in Nigeria did not understand how to use fair value in an inactive market, appropriately. Thus, it is of great importance that they were trained to understand different valuations and estimation techniques of fair value; how and when to apply them in the measurement of assets and liabilities in the financial statement.

The purpose of this research is to investigate the relationship between stock market development, business cycle and risk of the banks. The statistical population of the study is all banks whose shares were accepted in Tehran Stock Exchange from 2010 to 2015. The study selects 10 banks, which were active throughout the entire research period on the stock market. The research data were extracted from the financial statements of the companies and analyzed using regression models based on panel data. The research findings show that there was a direct and significant relationship between stock market development and risk of banks. In addition, the effect of stock market development on risk of banks was different in the presence or absence of a crisis, and the financial crisis in banks reduced the impact of the financial development on the risk of banks. The results also show that during the periods of commercial boom, the effect of the financial market development on the risk of banks was more than the periods of the recession.

Data Envelopment Analysis (DEA) is a well-known method used to measure the efficiency of decision making units. In this paper, we study the impact of the financial crisis while integrating DEA efficiency measures with Support Vector Machines (SVM). Moreover, to account for the heterogeneity effect in the efficiency measures, the gap statistical method of Tibshirani, et al., (2001) [Tibshirani, R., Walther, G., & Hastie, T. (2001). Estimating the number of clusters in a data set via the gap statistic. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(2), 411-423.] is applied in order to achieve the optimal number of cluster. This study uses December quarterly panel data consisting of Farm Credit Agricultural Banks data from 2005 to 2016. We find strong evidence that the efficiency measures were stationary prior to the financial crisis (2005-2006), during the financial crisis (2007-2009) and post financial crisis (2010-2016). The results further show that the integrated DEA-SVM provide a lower performance during 2007-2009. Furthermore, the results show that the Agricultural banking sector was both efficient and stable over the period being analysed.

During the past three decades, data envelopment analysis (DEA) has been successfully used for measuring the relative efficiency of financial or non-financial firms. This paper presents an empirical investigation to measure the relative efficiency of five Canadian banks versus 6 US big banks using DEA method. The study considers the number of employees and total assets as input and net revenue is used as the output of the DEA model. The data are collected from the official statements of the banks for the fiscal year of 2017. The results indicate that 6 US banks maintained an average efficiency of 0.87 but the average efficiency of Canadian banks was 0.72. While two US banks maintained an efficiency of one, the other US banks demonstrate relatively well in terms of the performance. In Canada, while one bank performed relatively well, the performance of the other Canadian banks were not as good as the US banks.

This paper examines the impact of economic and financial factors on tax revenue of Bahrain and Oman from 1990 to 2010. For this purpose, panel regression analysis is performed by considering economic and financial factors including growth domestic product (GDP), Deposit Interest Rate, Lending Interest Rate, Interest Rate Spread, Real Interest Rate, Bank Capital to Asset Ratio, Bank nonperforming loans to total gross loans, Risk premium on lending, Foreign direct investment net inflow and Cash surplus deficit. A conceptual model is developed for this purpose and the key findings are explained. The outcomes of the study explain that there was a significant relationship between Tax revenue and both economic and financial factors i.e. GDP growth, Bank capital to asset ratio, the Risk premium on lending, Foreign direct investment net inflow and Cash surplus/deficit over the period of study. The findings of the study are very much useful for the policymakers to consider which factors are affecting the tax revenues and in which direction. However, the findings of the study can be more meaningful with the addition of more economic and financial factors as well. Besides, the consideration of other Asian states will provide more evidence for the generalization of the findings. Meanwhile, this study will be a policy note on on-going tax reforms in selected Middle East countries and will be helpful for policymakers and researchers in conceptualizing the tax revenue model for them.

The present study examined the effects of cashless policy on financial inclusion in the Nigerian emerging economy. The necessary data were collected from the Central Bank of Nigeria Economic Reports as well as Statistical Bulletin and the ordinary least squares method was applied to analyze the data. The findings reveal that the cashless policy maintained a non-significant relationship with financial inclusion both in urban and rural areas of Nigeria. The findings show that the cashless policy had a significant effect on increasing customers’ deposits in commercial banks of Nigeria. Volume of Automated Teller Machine (ATMVL) maintains a positive and significant effect on financial inclusion indicators in urban center compared with the rural areas. Volume of Point of Sales (POSVL) shows more significant and positive influence on financial inclusion in urban area than the rural area. However, Web Based Technique (WBTVL) reveals a non-significant effect on financial inclusion both in urban and rural centers. The study therefore recommends that more branches of commercial banks and ATM centers/outlets should be opened in rural urban centers with efficient network systems and security in order to enhance banking penetration and by extension effectiveness of the financial inclusion and poverty reductions.

The purpose of the current study is to investigate the various factors influencing on people to invest in mutual funds and examine the mediating role of investor’s perception. By using quantitative research approach and cross-sectional research design, 300 questionnaires are distributed among the individual investors and Smart PLS 3 is used to analyze the data. The results reveal that risk and return, liquidity of assets, demographic factors (gender, age, and material status), convenience, reduction in transection cost, tax benefits and transparency were the key factors and maintained significant relationships with investment in mutual funds. Moreover, investor’s perception maintains mediating role between all these factors and investment in mutual funds. The study contributes in literature by investigating the various factors, which influence on investors to invest in mutual funds. Moreover, it also contributes by investigating the mediating role of investor’s perception.

Investors’ decision-making are influenced by certain biases as reported in literature. Fundamental analysis is based on the assumption that investors think rationally, but in practice, things may be different. This study captures the impact of herding behavior and overconfidence biases on the investors’ decision-making in Pakistan. The proposed study collects the necessary data through questionnaires distributed among 150 respondents who were active in stock market and manage to process 100 completed ones. The relationships between investors’ decision-making and herding behavior as well as overconfidence biases were empirically tested using Ordinary Least Square (OLS) method. The results show that Pakistani investors’ decisions were significantly influenced by both herding behavior and overconfidence biases.

Cash flow ratios are generally prepared from cash flow statement as per AS-03. It is helpful for financial users including shareholders, management, accountants, auditors and investors to get the relevant information regarding its financial resources for a certain period. Currently cash flow ratios are randomly used instead of traditional ratios due to its wideness and acceptability. In credit rating and forecasting the failure of an organization, cash flow ratios are very much relevant. In this study, we considered different companies from different sectors. From the study, it is clear that the liquidity and solvency position of the companies are moderate whereas the companies maintained low profitability. The efficiency ratios and sufficiency ratios of the companies selected in this study provide us a new look of financial judgement. In our study, we selected three companies from FMCG and Pharmaceuticals sectors. We used the data for a period of 10 years from 2004 to 2013 financial years.