This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China) and the rest of the world, G3MOD leverages insights from central banks' policy models, to...

This paper addresses a key puzzle in international finance: whether exchange rates follow a random walk or exhibit predictable patterns. We demonstrate that exchange rates can possess a unit root while maintaining substantial predictability over certain horizons. Our model combines a stochastic...

This technical assistance (TA) report presents the outcomes of the multi-year Bank of Ghana (BOG) Forecasting and Policy Analysis System (FPAS) TA project, conducted between late-2019 and mid-2024 over a total of seven missions, three in-person and four virtual. The project has focused on...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good trade-off between accuracy and speed, which makes it especially useful for large dimensional...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships,...

We introduce the Quantum Alarm System, a novel framework that combines the informational advantages of quantum majorization applied to tail pseudo-correlation matrices with the learning capabilities of a reinforced urn process, to predict financial turmoil and market crashes. This integration...

The German economy is stuck in stagnation. There are no signs of a significant economic recovery. Instead, there are increasing signs that the economic weakness is primarily structural rather than cyclical, which means there is little room for improvement in economic activity in the short term....

Cryptocurrencies have become a popular investment option and the Ethereum has become a mainstream cryptocurrency because of the additional functionality that can be accomplished with the backing of the powerful Ethereum network compared to Bitcoin. The high volatility of Ethereum offers both...

The credit risk assessment process is necessary for maintaining financial stability, cost and time efficiency, model performance accuracy, comparability analysis and future business implications in the commercial banking sector. By accurately predicting credit risk, highly regulated banks can...