Explore the vast range of titles available.

Background This study aims to gain insight into the effect of banks' financial performance on their market performance. We conceptualized the research subject on the assumption that the financial performance of an organization is the most important criterion for triggering movement in its stock price. We explored various models and parameters to evaluate financial performance of banks and found CAMELS being one of the most comprehensive and appropriate model. We considered share price growth of banks to measure their stock market performance Methods We collected financial and stock market data pertaining to 32 listed Indian banks for the period 2018 to 2022. The study has employed multiple linear regression analysis of panel data for evaluating the relationship between independent and dependent variables. We adopted panel regression for data analysis and used the Prais- Winsten regression with panel corrected standard errors, as the data suffers from contemporaneous cross-sectional correlation. Results The results show that net non-performing assets, net interest margins, and return on capital have a significant negative impact on share price growth. The capital adequacy ratio and the current and savings account deposit ratios have a positive insignificant impact. The liquid asset-to-total asset ratio has a negative, insignificant impact. The coefficient of determination indicates that the share price growth of banks is more dependent on other factors which are not included in the regression analysis of this study. Conclusion This study helps investors and bankers understand the limited impact of financial parameters on banks'stock prices and to look for other parameters which explain the stock price movement better.

The purpose of this study is to find the most important variables that represent the future projections of the Bank of International Settlements' (BIS) capital adequacy ratio, which is the index of financial soundness in a bank as a comprehensive and important measure of capital adequacy. This study analyzed the past 12 years of data from all domestic banks in South Korea. The research data include all financial information, such as key operating indicators, major business activities, and general information of the financial supervisory service of South Korea from 2008 to 2019. In this study, machine learning techniques, Random Forest Boruta algorithms, Random Forest Recursive Feature Elimination, and Bayesian Regularization Neural Networks (BRNN) were utilized. Among 1929 variables, this study found 38 most important variables for representing the BIS capital adequacy ratio. An additional comparison was executed to confirm the statistical validity of future prediction performance between BRNN and ordinary least squares (OLS) models. BRNN predicted the BIS capital adequacy ratio more robustly and accurately than the OLS models. We believe our findings would appeal to the readership of your journal such as the policymakers, managers and practitioners in the bank-related fields because this study highlights the key findings from the data-driven approaches using machine learning techniques.

The recent crisis has spurred the use of stress tests as a (crisis) management and early warning tool. However, a weakness is that they omit potential risks embedded in the banking groups' geographical structures by assuming that capital and liquidity are available wherever they are needed within the group. This assumption neglects the fact that regulations differ across countries (e.g., minimum capital requirements), and, more importantly, that home/host regulators might limit flows of capital or liquidity within a group during periods of stress. This study presents a framework on how to integrate this risk element into stress tests, and provides illustrative calculations on the size of the potential adjustments needed in the presence of some limits on intragroup flows for banks included in the June 2011 EBA stress tests.

The West African Economic and Monetary Union (WAEMU) regional securities market saw increasing activity in the last decade, but still fell short of supplying sufficient long-term financing for growth-enhancing public and private investment projects. In addition to providing an institutional background, this paper studies recent developments and the determinants of interest rates on the market-using yield curve and principal component analyses. It also identifies challenges and prospective reforms that could help the region reap the full benefits of a more dynamic securities market and assesses the potential systemic risk the market may pose for the region's banking system.

This paper analyzes the experiences of emerging market economies (EMEs) that have liberalized capital flows over the past 15 years with respect to macroeconomic performance and risks to financial stability. The results of the panel data regressions indicate that greater openness to capital flows is associated with higher growth, gross capital flows, and equity returns and with lower inflation and bank capital adequacy ratios. The effects vary depending on thresholds. As a potential application of these findings, the paper explores the possible effects of liberalization on China by applying the coefficients of explanatory variables to the corresponding variables of China in 2012-16.

With the worldwide dispersion of COVID-19, banking sector, among others, needs to adapt to unexpected challenges. For this purpose, this study examines the impact of sustainable banking regulations on bank-specific characteristics pre and during COVID-19 period in Pakistan for the period spanning from 2006 to 2020. Moreover, financial stability is employed to test its moderating role on sustainable banking regulations. The dynamic estimator, named the system-Generalized Method of Moments, is used to analyze the endogenous nature of the data. Findings suggest that capital adequacy ratio, deposit ratio, and loan ratio are positive whereas leverage ratios are negatively related to profitability and market return. Overall, findings reveal that sustainable banking regulations influenced the bank-specific characteristics substantially. Importantly, the year-wise averages of variables reveal that Pakistani banks have made significant improvements in profitability, market return, capital adequacy, and deposit ratio pre and during pandemic era. Additionally, the financial stability significantly moderates the relationship highlighting lower default risk and the effectiveness of sustainable banking operations. Practically, despite global lockdowns, economic and trade restrictions during COVID-19, State Bank of Pakistan, sustained health of banking sector through its well-regulated monitoring mechanism.

In contrast to corporate defaults, regulators typically take a number of statutory actions to avoid the large fiscal costs associated with bank defaults. The distance-to-default, a widely used market-based measure of corporate default risk, ignores such regulatory actions. To overcome this limitation, this paper introduces the concept of distance-to-capital that accounts for pre-default regulatory actions such as those in a prompt-corrective-actions framework. We show that both risk measures can be analyzed using the same theoretical framework but differ depending on the level of capital adequacy thresholds and asset volatility. We also use the framework to illustrate pre-default regulatory actions in Japan in 2001-03.

The article explores the main approaches to understanding the concept of \"value-oriented management\". It is established that there are different methods of assessing the value of banking institutions, in particular, cost, revenue and comparative approaches. The main advantages and disadvantages of value-oriented management are outlined.The analysis of cash flows of three systemic Ukrainian banks: JSC \"The State Export-Import Bank of Ukraine\", JSC CB \"Privatbank\", PJSC \"State Savings Bank of Ukraine\" is conducted. On the basis of the analysis, the value of banks is calculated. It is defined that the main factors influencing the value of banking institutions are adequacy of regulatory capital, return on equity, return on assets, interest rate margin, liquidity, level of problem loans, capital adequacy ratio and financial leverage. A correlation analysis of the bank’s dependence on these factors is carried out. It is established that individual factors have a multicollinarn dependence, which makes it impossible to use them in constructing a regression model. Among the factors mentioned are factors that have the greatest impact on the value of banking institutions. These factors include the following: adequacy of regulatory capital, level of problem loans, capital adequacy ratio. The regression model of the dependence of the bank’s cost to the balance capital on the determined factors is constructed.The regression equation obtained in the result of the analysis shows that the ratio of the bank’s value to the balance (book) capital of PJSC \"State Savings Bank of Ukraine\" in the period of 2013-2017 is directly dependent on the coefficient of capital adequacy and inversely related with the adequacy of the regulatory capital and the level of the problem loans. It is established that when developing the strategy of raising the value of the bank the measures aimed at managing capital adequacy and reducing the level of problem loans should be developed.