13th Students’ Research Symposium 2023/2024
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Item The Impact of Monetary Policy on Stock Market Performance: Evidence from Sri Lanka(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Nimesha, A. T.; Piyananda, S. D. P.Introduction: The study explores the pivotal role of monetary policy in shaping stock market performance, focusing on Sri Lanka's All Share Price Index (ASPI). It highlights the critical influence of monetary tools like Treasury Bill Rate (TBR), Money Supply (M2), Standing Lending Facility Rate (SLFR), and Statutory Reserve Ratio (SRR) alongside macroeconomic variables like the Exchange Rate and Inflation Rate. By addressing the gaps in existing literature, particularly during the post-COVID-19 economic crisis, the research emphasizes the dynamic interplay between monetary policy and market performance. Methodology: This will be a quantitative test based on secondary data from July 2014 to August 2024, which was extracted from the Colombo Stock Exchange and Central Bank of Sri Lanka. Analyzing the research will draw upon econometric methods which include tests of unit roots, regression analysis, and diagnostic checks for multicollinearity, heteroskedasticity, and autocorrelation in order to draw conclusions about how monetary policy variables affect the ASPI. The model has been developed considering its robustness and reliability by incorporating all the required macroeconomic indicators as control variables. Findings: The above analysis indicates that monetary policy variables such as money supply, treasury bill rate, and inflation rate are positively and significantly related to ASPI. Thereby, these variables prove to be the important contributors toward improving stock market performance in Sri Lanka. On the contrary, SLFR and ER negatively influence ASPI, reflecting the devastating effects of the tight monetary stance and currency depreciation on market dynamics. The contribution of the SRR, though positive, is insignificant to explain the trend in the stock market. All diagnostic tests prove that the estimated model is reliable and free from multicollinearity, heteroskedasticity, or autocorrelation. The findings emphasize that monetary policy does not have a one-way effect on the stock market in Sri Lanka. Conclusion: Monetary policy significantly influences the performance of the stock market in Sri Lanka; therefore, proper monetary interventions are very important in creating a stable and prosperous market. Though the findings support theoretical expectations and prior literature on the subject, there are limitations to this present study, which include exclusion of some of the key macroeconomic variables, such as fiscal policy, and also sector-specific analysis. Thus, future study could elaborate more on those dimensions and create more comprehensive insights. These are very important findings in terms of the policy implications for policymakers and investors in developing an appropriate view of how monetary policy affects stock performance in emerging economies.Item The Impact of Financial Inclusion on Economic Growth: Evidence From India(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Wijerathna, G. H. S.; Piyananda, S. D. P.Introduction: This paper discusses how financial inclusion has affected India's economic growth, considering its multi-dimensional aspects: Banking access, Banking Penetration, Use of banking Services, and financial stability. While there have been significant improvements, structural problems like low financial literacy, limited digital infrastructure, and regional imbalances impede broader financial inclusiveness. The objectives are to assess the role played by financial inclusion in fostering Economic development and identify ways the existing challenges can be overcome. Methodology: A quantitative approach was adopted, using time-series data from 2000 to 2023. Key variables of interest, including GDP growth, Access to banking Services, Banking Penetration, Use of banking Services, and financial stability indicators (Bank Z-Score, Non-performing loans) were analyzed using descriptive statistics, Correlation analysis, Regression analysis, and classical assumption testing. The results affirm that financial inclusion significantly influences economic growth by facilitating access to financial services and promoting equitable participation in economic activities in India. However, challenges such as high non-performing loans and inflation persist, underscoring the need for targeted policies. Findings: According to the results, FI has a statistically significant positive impact on economic growth. It has been observed that access and use of banking services are crucial drivers in ensuring equality in economic participation. There is still significant NPL and inflation, which pose an upward risk and necessitate very targeted intervention. It calls for more substantial digital financial inclusion, supported by higher levels of financial literacy, in terms of their reach and significance. Conclusion: It sums up that financial inclusion will play a very important factor in sustaining economic growth in India. It suggests increasing financial literacy among people, the use of digital banking facilities, the increase of Digital Financial infrastructures, and sound regulatory mechanisms for access to financial services by all. Due consideration of regional and demographic disabilities by policymakers and financial institutions is required for interventions appropriate to the context to elicit maximum benefits from financial inclusions.Item The Impact of Digital Financial Inclusion on Economic Development in Sri Lanka(Department of Finance, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka., 2025) Wijesiriwardhana, H. G. S. I.; Piyananda, S. D. P.Introduction: Digital financial inclusion refers to the use of digital platforms such as mobile banking, digital wallets, and online payment systems to expand access to financial services, especially for underserved and rural communities. In the context of Sri Lanka, a developing economy, digital financial inclusion plays a critical role in fostering economic growth and addressing financial disparities. This research investigates the impact of digital financial inclusion on economic development in Sri Lanka while accounting for control variables such as inflation and interest rates. Methodology: The study adopts a quantitative approach, using EViews software to analyze the relationship between digital financial inclusion and economic development. Control variables such as inflation and interest rate are incorporated to isolate the specific effects of digital financial services on broader economic outcomes. The study was derived data collected through published reports from the Central Bank of Sri Lanka. Specifically, the sample size consists of time-series quarterly data over a 10-year period (2014–2023), representing the key indicators and trends relevant to digital financial inclusion and economic development. The analysis was conducted using descriptive statistics, correlation analysis, and regression analysis with the pretests. As well, the researcher discussing the hypotheses based on the results obtained from the regression analysis. Findings: The findings of the study have important policy implications for governments and financial institutions in Sri Lanka, offering recommendations on how to harness digital financial inclusion to foster economic development, reduce inequality, and enhance financial resilience in the face of global challenges. Ultimately, the study contributes to the growing body of literature on the role of digital finance in economic development, particularly in emerging economies like Sri Lanka. Conclusion: This research underscores the intricate relationship between digital financial inclusion (DFI) and economic development in Sri Lanka. While mobile subscriptions and internet access alone have limited impact, their effectiveness depends on complementary factors such as digital literacy, infrastructure quality, and policy support. The study reveals ATM availability significantly contributes to GDP per capita by bridging traditional and digital banking gaps, while debit card usage poses challenges due to insufficient infrastructure. Conversely, credit card usage positively influences economic growth by promoting digital transactions and enhancing financial integration. These findings highlight the need for holistic strategies to optimize DFI's role in sustainable economic development in Sri Lanka.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.