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The link between stock market development and economic activity has always been the subject of considerable debate in the field of economics and it raises empirical question whether stock market development influences economic activity or whether it is a consequence of increased economic activity. This study attempts to investigate the direction of causality between stock market development and economic growth in the Indian context. Using the cointegration and causality tests for the period June 1991 to June 2013, the study confirms a well defined long-run equilibrium relationship between the stock market development indicators and economic growth in India. The empirical results show bidirectional causality between market capitalisation and economic growth and unidirectional causality from turnover ratio to economic growth in the long-run and short-run. By and large, it can be inferred that the stock market development indicators viz. market capitalisation and turnover ratio have a positive influence on economic growth in India.

The problem of NPA is not limited to only Indian public sector banks, but it prevails in the entire banking industry.  Major portion of bad debts in Indian Banks arose out of lending to the priority sector at the dictates of politicians and bureaucrats.  If only banks had monitored their loans effectively, the bad debt problem could have been contained if not eliminated. The present study has been designed to illustrate the necessity and the nature of the non-performing assets in Indian Bank, Tamil Nadu. Finding out Non Performing Assets –NPA- under the Priority sector lending in Indian Bank and Compare with Public Sector Banks and making appropriate suggestions to avoid future NPAs and to manage existing NPAs in Indian Bank are the other major objectives of this study. The scope of this study covers on the basis: (i)  measuring for the banks to avoid future NPAs & to reduce existing NPAs, (ii) guiding for the government in creating & implementing new strategies to control NPAs, (iii) selecting appropriate techniques suited to manage the NPAs and develop a time bound action plan to arrest the growth of NPAs.

The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.

This study is a discussion on the ‘Non-Governmental Organization-Microfinance Institution Partnership Model’ and ‘Securitization Model’ used by Indian microfinance institutions to achieve cost efficiency. These two models are effective strategies devised and used by efficient and sustainable Indian MFIs to reduce their operating cost and financing cost. Achieving such cost efficiency is crucial for microfinance institutions to attain operational self-sustainability without levying high interest rates. Using interview method the study elicits information on these innovative strategies and recommends them to be worthy of emulation for other microfinance institutions operating in the Indian microfinance industry.

This study examines bank competition in the loan markets in India using a new competitiveness index, the Augmented Relative Profit Difference (ARPD). The ARPD quantifies the impact of marginal costs on performance, measured in terms of market shares. The theoretical foundation of the ARPD is robust when compared to other conventional measures. Applying this unbiased competition indicator to loan markets shows that financial reform has contributed to significant improvements in competition. Public sector banks and private sector banks are more competitive than foreign banks too. In addition, we find that the Indian loanmarkets are monopolistic in nature.

The banking sector is a linchpin of economic growth and development, with its prosperity heavily influenced by various factors of the economy. The cooperative model of banking to achieve both of personal and community development goals has been chosen as an instrument for fostering high and stable financial growth. As a key metric for assessing the financial health and profitability of banks, including cooperative banks, NPAs plays a crucial role in evaluating their stability and resilience. Notably the Indian Banking system, now, compares with the global benchmarks, reflecting commendable Return on Assets (ROA), Return on Equity (ROE) and Credit risk (NPAs). The purpose of this article is an attempt to analyze the trends of NPAs (Gross NPAs and Net NPAs) of selected Urban Cooperative Banks (UCBs) and assessing the profitability using ROA and ROE over the period of 2016-2022 by employing the linear trend analysis and multiple regression model. Secondary sources provided the information gathered for the study. The study indicates that the trend of NPAs is fluctuating over time with low minimal correlation. GNPAs and NNPAs have a significant impact on ROA for the selected UCBs- Nagarik Samabay Bank (NSB) and Gauhati Cooperative Urban Bank (GCUB). However, during the period 2020-2022, GNPA sand NNPAs did not exhibit significant influence on ROE for Gauhati Cooperative Urban Bank. Hence, the dynamism of NPA and their impact on profitability on banking sector will reflect the growth of financial sector of the economy.

This paper investigates the factors that form bank risks in Bangladeshi state-owned banks. As a representation of bank risk, non-performing loans have been considered the dependent variable for this study. The relevant data have been extracted from six state-owned banks in Bangladesh from 2013 to 2022. The final dataset consists of 60 firm-year observations. The ordinary least square (OLS) regression with robust standard errors model is utilized to find the relationship of bank risks with determinants like asset size, efficiency, liquidity, profitability, leverage ratio, capital adequacy ratio, and loan to asset ratio. The findings say that bank size and loan-to-asset ratio have a highly significant positive relationship with bank risk, whereas profitability, capital adequacy ratio, and bank efficiency have a significant negative association with bank risk. On the other hand, leverage and liquidity are negatively and positively correlated with no statistical significance. To check the study's robustness, another proxy of bank risk, loan loss provision has been used and the results are almost similar. State-owned banks operate in every economy with a different mindset than the general commercial banks. Hence, policymakers should take necessary initiatives based on this study to bring down the high bank risks in state-owned banks in Bangladesh.

This paper aims to analyse the effects of financial statement indicators and off-balance sheet items affecting risk measures among Indian banks employing both panel data regression and a non-parametric decision tree approach. We explore the effects of bank size, leverage, exposure to contingent liabilities including off-balance sheet derivatives usage and macroeconomic factors on risk measures for banks. In this paper, it is also aimed to examine the effects of the major financial liberalization policy period in the domestic market in India that started in the mid-1990s and ended around 2004 as well as impacts of the 2008 global financial crisis on the risk measures of banks operating in India.  As risk measures, we present a comparative analysis of liquidity, solvency, and interest rate risk measures of Indian banks across public (government) and private ownership categories. Main findings from our study demonstrate (i) significant impact of capital adequacy and the bank size on all the risk measures, (ii) contingent liabilities (including derivatives usage) at banks is observed to significantly impact the asset management measure of liquidity risk and the solvency risk of banks, (iii) GDP growth is observed to impact the asset management and liability management measure of liquidity risk, (iv) the global financial crisis is found to have a significant impact on the liquidity risk measures and interest rate risk, but a weak effect on solvency risk of Indian banks, (v) bank ownership category (government owned versus private sector banks) is observed to have a significant impact on all the risk measures, and finally (vi) financial liberalization reforms had a highly significant effect on the liquidity risk at banks.

The object of this study is to explore the effect of cultural distance on both the long run and short run performance of cross border mergers and acquisitions undertaken by Indian acquiring firms. We utilize buy and hold returns (BHAR), cumulative abnormal returns (CAR) and cross-sectional regression analysis in our study. Adopting the traditional Hofstede measure of cultural distance and other pertinent variables, commonly used to measure cultural differences, we document a negative and statistically significant influence of cultural distance on Indian cross-border M&As and corroborate some of other findings reported in prior research. Also, we find that the BHAR is nevertheless higher when the acquisitions are friendly, paid for 100% cash, and the acquiring firm is large, older and belongs to a business group. The inclusion of the variable ‘business group’ along with industry relatedness and acquirer size provides valuable insights into the Indian cross border acquisition landscape, wherein business groups dominate to a great extent.

<p><em>The link between </em><em>stock market development and economic activity has always been the subject of considerable debate in the field of economics and it raises empirical question whether stock market development influences economic activity or whether it is a consequence of increased economic activity. This study attempts to investigate the direction of causality between stock market development and economic growth in the Indian context. Using the cointegration and causality tests for the period June 1991 to June 2013, the study confirms a well defined long-run equilibrium relationship between the stock market development indicators and economic growth in India. The empirical results show bidirectional causality between market capitalisation and economic growth and unidirectional causality from turnover ratio to economic growth in the long-run and short-run. By and large, it can be inferred that the stock market development indicators viz. market capitalisation and turnover ratio have a positive influence on economic growth in India.</em><em></em></p>