The paper studies the performance of selected public sector bank-sponsored mutual funds in India using conventional measures. The data for the study has been captured from two leading public sector bank-sponsored fund houses, namely SBI Fund Management Pvt. Ltd. and UTI Asset Management Co. Ltd., to examine their performances. The study uses maximum numbers of leading risk-adjusted interventions, like the Sharpe index, Treynor index, information ratio, Jensen’s alpha, Fama’s selectivity measure, and M-squared. The result of the study unveils that most of the sampled schemes executed well in terms of return and professional management of funds by the fund managers. The work also reveals that the SBI fund house is a slightly better performer than the UTI fund house, in terms of efficient schemes and professional management of the portfolio. The study concludes that stakeholders must make wise choices in their investments by looking at all the risk measures and returns, and other developed measures.
This study examines the bilateral trade and economic relations between Bangladesh and SAARC countries. In this regard, export and import scenarios, considered the main focus of international trade and overall foreign trade volumes over the last five years (2016-2020) were studied. Using panel data analysis, the relationship between the nature and direction of export-import and economic cooperation of this research was examined. The study found that economic ties and cooperation have strengthened in recent times, and bilateral trade with SAARC countries has increased over the previous year, although the rate was disappointing at the beginning of the pandemic. The results also show that Bangladesh has long suffered from trade imbalances with India and is in less or more good standing with other SAARC countries. Researchers have found that the impact of economic relations with SAARC countries has not led to adequate export adaptations for economic growth. According to the results of the survey, it is suggested that steps should have to be taken to increase exports, to reduce trade deficiency. The Bangladesh Export Processing Bureau (EPB), the Ministry of Commerce, and EPZ authorities need to be more vigilant in expanding trade facilities and developing infrastructure.
This paper tries to examine the impact of Ind AS on some accounting numbers and also to examine if there is any statistically significant difference among the prevailing opinions regarding Ind AS adoption in India. We took the top 45 companies from the Bombay Stock Exchange, according to their market capitalisation, and excluded banking, non-banking financial companies, and insurance companies due to non-availability of data, and made a questionnaire for opinion survey. We applied paired t-test on the secondary data and a chi-square test on the primary data. No statistically significant difference was found in the accounting numbers after the adoption of Ind AS. Results also revealed that there is homogeneity in the opinion of respondents with different work experiences and occupations regarding the impact of Ind AS on accounting numbers. Indian companies should provide more disclosure in their financial statements, so that the informational content of accounting numbers can be increased.
The present study analyses existing studies on various issues of Indian commercial banks related to non-performing assets (NPA). The problem of NPA is not only precarious in India, but also across the globe. In other words, NPA is like a large red balloon, a red signal for the banking system in India. The reason for the investigation is to analyse the accessible literature, to place in a nutshell the various points of view of NPAs. The article divides the existing literature into different sections, for a detailed analysis of the identification, growth and composition, determinants, financial ratios, recovery channels, financial sustainability, and other aspects of NPA management of commercial banks. The papers which have been chosen for the literature reviews are based on a systematic literature review. The research papers and articles have been selected by searching keywords in the abstracts and concluding remarks of the whole database. The systematic review process conveys and assists in the selection of appropriate articles for the study. The scope of this research will be helpful to bankers in finding new directions to analyse the management of NPAs, and academicians and researchers in conducting exploratory research. The study presents the research gaps that occur in the management of NPAs, to explain research that can bring an insight into the literature. A wide-ranging review of NPA will not only help identify the issues, but also establish effective management of NPAs.
The aim of this paper is to compute various measures to examine the determinants of financial profitability for the listed Indian public sector banks. This paper will also identify the relationship between the return on equity (ROE) and other independent variables of the Indian banking sector, including all public sector banks, over the past 11 years, starting from April 1, 2009, to March 31, 2020. Therefore, a sample of 12 registered public banking companies and a total of 120 balanced observations are selected for the purpose of analysis. The author has used financial profitability as a dependent variable, represented by the return on equity (ROE), and return on assets (ROA), financial leverage (FL), and credit deposit ratio (CDR) as independent variables. In this study, both fixed effects and the random effects model have been used to look at panel data regression. The author also confirmed both panel techniques with Hausman test-correlated random effects, a widely used procedure for selecting a panel effect. For testing series stationarity, the author used the PP–Fisher 2; ADF–Fisher 2; Levin, Lin, and Chu t; Im, Pesaran, and Shin W-stat; and Breitung t-stat. The results show that return on assets (ROA) and financial leverage (FL) increased the effectiveness of banks in India, while the credit deposit ratio (CDR) reduced the profitability of all public sector banks in India. Only two variables, FL and ROA, were found significant under public sector banks, while taking ROE as the dependent variable. On the other hand, the overall PSB data showed that the CDR reduced the profitability of total PSBs in India. The conclusion of this study will help policymakers, financial managers, and investors in making investment decisions.
Data localisation has increased the security of the data generated within the boundaries of a specific economy where the data was generated. Data is huge mass data generated by various sectors and the safety of confidential data generated is a priority for any nation. The aim of the research is to study the data localisation effect, compare its effect on the GDP of various countries, and to normalise and predict the GDP after data localisation is implemented in a particular country. The outcome of the paper is that Nigeria and Vietnam have greater GDP compared to India. From the study, it is found that out of nine countries taken for the study, eight countries have data localisation effect on its GDP, while one has no effect even after implementation.
In this paper, we analyse prominent calendar anomalies for the Egyptian stock market. We also evaluate if there is any volatility clustering in the sample market and the reaction of volatility to positive and negative shocks (news) in the Egyptian stock market. The closing prices of ten indices of the Egyptian Stock Exchange have been examined over the period 2012-2019. The calendar anomalies pertaining to the day-of-the-week effect, Halloween effect, trading-month effect, and month-of-the-year effect have been analysed. Dummy variable regression technique is used to test the calendar anomalies. Further, the GARCH family of models, including GARCH-M and T-GARCH techniques have been utilised to test for the nature of volatility clustering. The results validate that day-of-the-week anomaly is strongly observed in the data. However, the other anomalies have not been observed. The results also confirm the presence of volatility clustering. The results finally show that negative shocks result in more volatility clustering than positive shocks. There has been little research pertaining to understanding the nature of volatility clustering for the Egyptian markets. Thus, to enrich the literature for the emerging markets and contribute to the area, we conduct a comprehensive study on calendar anomalies for the Egyptian market.
MSMEs have been playing an important role in the overall economic development of a country like India, where millions of people are underemployed or even unemployed. Despite an intricate policy framework, their progress is hampered by a few basic constraints, like finance accessibility, lack of technical knowledge and skilled manpower, and inadequate infrastructure in suburban and rural areas. This paper presents the research methodology for analysing the financial problems and prospects of MSMEs in the Indian state of Telangana. The research model uses primary and secondary data for the analysis. The questionnaire was prepared and distributed to the managers or owners of 500 MSMEs, and their responses were obtained. The results show that most of the MSMEs are facing the financial problem of shortage of working capital. The MSMEs have many prospects, like improved productivity through Skill India, unprecedented entrepreneurial opportunities with industrial area development, and so on.
This paper examines the day-of-the-week anomaly in the Indian stock market. Accaording to efficient market hypothesis, the average returns should be constant all days of the week. The return generation process theory proposes that when calendar time proposition is considered, the return on Monday should be three times that of Friday. On the other hand, when trading time proposition is considered, the returns on all days of the week should be similar. However, prior research on day-of-the-week anomaly provides substantial evidence that the returns on Monday are negative. To empirically test the return generating process theories from the perspective of individual investors in the Indian stock market, we obtain daily buy and sell turnover of individual investors for a period of 16 years. Using the models suggested by French (1980), we test this hypothesis. We perform empirical tests for the full sample period and four sub-sample periods. Our results indicate significant average negative returns on Monday. The sell turnover on Monday is less than the sell turnover on Friday. At the same time, the buy turnover is also negative on Monday. It appears that individual investors stay away and are not much active in the stock markets on Mondays. Moreover, the supply and demand for stocks from individual investors appear to be lower on Mondays. One of the reasons for this may be the individual investors’ dependence on broker calls to buy or sell securities in the Indian stock market. We also observe that individual investors take active participation on Tuesdays and Wednesdays, when they receive calls from brokers.