The Central Bank of the Republic of Uzbekistan published a scientific paper from a Swiss State Secretariat for Economic Affairs Bilateral Assistance and Capacity Building Program research project that tests econometric and machine-learning models, including Random Forest, Gradient Boosting and neural network-based approaches, to forecast time series of autonomous factors influencing banking system liquidity using payment system data.