FORECAST ANALYSIS OF BANK RESOURCES AND DEPOSIT DYNAMICS IN UZBEKISTAN: THE CASE OF UZPROMSTROYBANK

Abstract

This study analyses historical data (2000–2024) to forecast Uzpromstroybank’s deposit base and total resource trends using simple OLS regression models. A linear time-trend model is estimated for both series to capture long-run growth. The regression results show strong, significant upward trends (high R², statistically significant coefficients) for deposits and resources, indicating robust growth. Forecasts generated by extrapolating these trends suggest continued expansion of the bank’s deposits and resources in the short term. The findings are relevant for bank management and policymakers, as they highlight the trajectory of funding sources in Uzbekistan’s banking sector. Limitations include the simplicity of the linear model and potential structural changes, nonetheless, the results provide a baseline projection and underline the importance of improving deposit mobilization and financial sector reforms.