This paper presents a semi-structural macroeconomic model aimed at facilitating policy analysis and forecasting, primarily in countries with imperfect capital mobility and hybrid monetary policy regimes. Compared to earlier gap-trend projection models, the Forecasting Model of Internal and External Balance (FINEX) contains three main innovations: it accentuates external and internal balances; explicitly incorporates fiscal policy; and partly endogenizes the main trends. FINEX thus covers a broad set of policy instruments, including foreign exchange interventions (FXI), capital flow management measures (CFM), as well as common fiscal policy instruments. The model incorporates insights from the recent DSGE literature, while maintaining a more accessible gap-trend structure that lends itself to practical policy applications. While the paper refrains from drawing broad policy lessons, it emphasizes the model's ability to interpret recent data in terms of structural shocks and policy responses, thereby aiding policymakers in constructing coherent economic narratives and considering alternative scenarios.

The paper introduces a semi-structural Quarterly Projection Model (QPM) tailored for the Democratic Republic of the Congo (DRC), highlighting its resource richness and high degree of dollarization. We provide an overview of the model's specifications to elucidate key features of the DRC economy and present its properties, evaluating its alignment with DRC data and assessing its goodness of fit. Additionally, the paper demonstrates the QPM's practical application through a counterfactual scenario, comparing policy recommendations with the actual policy responses of the Central Bank of the Republic of Congo to observed exchange rate and inflation pressures in 2023. Beyond the QPM, the paper showcases supplementary tools that enhance its utility for generating medium-term forecasts and developiong narratives in support of monetary policymaking. Specifically, we introduce the Nowcasting and Near-Term Forecast models, designed to assess the economy in real-time and predict short-term inflationary trends.

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 upgrading and building new institutional capacity for model-based policy analysis and macroeconomic forecasting, along its integration into monetary policy processes and external communications. BOG staff has made remarkable progress and built a strong skillset in providing analytical support to the policymakers. Model-based work plays an important role in the BOG internal deliberations and represents the key input in forward-looking monetary policy formulation, including in regular external communications. Remaining recommendations relate to ensuring FPAS work sustainability and further streamline external communications.