Symposia & Conferences
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Item The Impact of Green Banking Practices on Bank Financial Performance, Study Based on Commercial Banks of Sri Lanka(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Amarasiri, G. D. M. N.; Fernando, J. M. R.Introduction: This study focused on the Impact of Green Banking Practices on Bank Financial Performance Study Based on Commercial Banks of Sri Lanka. Local or foreign researchers have not done any research considering the recent effect of green banking practices by evaluating the quantitative data on financial performance. Methodology: To address the three objectives; impact of green costs on the bank’s financial performance, the impact of corporate governance and its moderate relationship between green banking practices and banks’ financial performances, the effect of country regulation, and moderate the relationship between green banking practices and the financial performance of 10 licensed commercial banks in Sri Lanka under registration in the Colombo Stock Exchange, this study uses six variables including one dependent variable, one independent variable, two moderate variables, and two control variables. The study used secondary data from banks' annual reports and worldwide Governance Indicators from 2015 to 2023 and used panel regression to analyze the data. Findings: The study found green costs are negatively significant with ROA, demonstrating that short-term costs related to green initiatives could have a negative impact on short-term financial performance. While country regulatory, and corporate governance showed a significant positive relationship with ROA. Conclusion: This research suggests that bank financial performance is significantly impacted by green cost, green governance, and green country. Strong corporate governance procedures are crucial for promoting sustainable growth.Item Impact of Risk Management on Firms’ Financial Performance: Evidence from Licensed Commercial Banks in Sri Lanka(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Sandeepani, W. R. N.; Piyananda, S. D. P.Introduction: This study investigates how methods for risk management affect Sri Lankan commercial banks with permissions and their financial results. Effective risk management is now essential to maintaining the profitability and security of banks in a financial environment that is becoming more and more uncertain. The research focuses on key risk factors: nonperforming loans (NPL), loans and advance (LA), loan loss provision (LLP), liquidity ratio (LR), and return on equity (ROA). The study investigates financial statements from seven commercial banks out of the twenty-four commercial banks that are listed on the Colombo Stock Exchange. They are selected under the sufficient of data category and other banks excluded due to the insufficient of data. Methodology: All the data collected as secondary data from annual report from 2019 to 2023 of each bank and the data analyzed by using regression analysis. The data set was analyzed using EVIEWS software. Furthermore, the firm’s performance measured by Return on Asset and risk management measured by loan loss provision, loans and advances, non-performing loans and capital adequacy ratio. Findings: Loans and advances (LA) represent a critical role in improving financial performance, as the analysis shows that they have a statistically significant and positive impact on ROA. On the other hand, ROA is not significantly correlated with Loan Loss Provisions (LLP), Non-Performing Loans (NPL), Liquidity (LIQ), or the Capital Adequacy Ratio (CAR). While the model explains a moderate proportion of the variation in ROA, the adjusted R-squared suggests room for improvement in predictive accuracy. The overall model is statistically significant, with no evidence of autocorrelation in the residuals. Conclusion: In conclusion, these findings highlight the urgent need for more empirical and theoretical research to strengthen the model's explanatory power, improve its predictive stability, and provide a more comprehensive, complex understanding of risk management's multiple influence on bank performance, operational efficiency, and financial stability.Item Assessing Profitability of Sri Lankan Commercial Banks Amidst Crisis(Faculty of Commerce and Management Studies University of Kelaniya., 2024-11-01) Gunasekara, H.M.A.L.; Ranasinghe, R.A.P.M.; Jayasinghe, G.D.C.T.This study aims to examine whether the Covid 19 pandemic and the post pandemic economic crisis have damaged the primary profitability of commercial banks. This study uses annual data from 2011 to 2023 for ten leading public and private domestic commercial banks in Sri Lanka. The results have been obtained using panel regression models and mean comparison tests. This study identified that the primary profitability measured by ROA is lower during health crisis and economic crisis periods and it achieves statistical support under comparison tests. The negative impact on ROA is dominant in the first Covid 19 year (2020) and the first economic crisis year (2022) than other periods. Further, comparison tests show that the impacts of any crisis are not superior to one another. However, when controlled for the bank-specific and macroeconomic factors, the negative differential effect of both crises fails to achieve statistical significance, indicating that Covid 19 and post- pandemic economic crisis have impacted domestic commercial banks weakly. This is the first kind of study to uncover that the domestic commercial banks have managed to maintain their primary profitability without a large injury to ROA during the health crisis and economic crisis years, helping them remain resilient during the crisis period.Item The Impact of Exchange Rate Movements on the Stock Returns of Commercial Banks in Sri Lanka(4th International Conference for Accounting Researchers and Educators, Department of Accountancy, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka, 2018) Bandara, A.W.M.S.S.C.; Thilakerathne, P.M.C.Foreign exchange rate is price of the local currency stated in terms of another currency. It is widely held that foreign exchange rate is important financial and economic factor which affects the value of common stocks. Exchange rate movements are highly affected for creating risk in banking institutions. This paper investigates the impact of exchange rate on the stock returns of commercial banks listed in Colombo Stock Exchange (CSE). Data were extracted from the Central Bank of Sri Lanka (CBSL) and CSE. Data were analyzed by using linear regression analysis for the period of July 2013 to June 2018 using monthly observations. The results of the study indicates that there is significant exposure of Sri Lankan listed commercial banks to major exchange rate movements suggesting that an appreciation (depreciation) of domestic currency value (Sri Lankan Rupee) against four major currencies such as US Dollars, Japanese Yen, Euro and Great Britain Pounds delineates positive as well as impact on stock returns of the respective banking institutions. The important characteristic in this study is that estimation of the exposure coefficients are based on the individual firm level dataItem Determinants of Interest Rate Spread in Sri Lankan Commercial Banks(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, 2015) Fernando, W.P.D.Interest rate spread has always been one of the most important and significant economic issues in different countries of the world. This study is done to identify determinants on interest rate spread and define a suitable model of interest rate spread in Sri Lankan Commercial banks during the 2005 to 2014.Variables that are affect to interest rate spread categorize in to three factors such as bank specifies factors (Operating Cost, Credit Risk, Bank Size, ROA, Liquidity Ratio, ROE), industry specifies factors (Industry Assets, Reserve Requirement) and macroeconomic factors (Inflation, GDP Growth rate). And also overall data model divided in to three modes based on time period to identify best model (overall data 2005 to 2014, five year data 2005 to 2009, and five year data 2010 to 2014). Research found that 2010 to 2014 data model is best model and it identified operating cost, bank size, liquidity ratio, ROE, statutory reserve as significant variables.