We extend a modern practical Quarterly Projection Model to study credit cycle dynamics and risks, focusing on macrofinancial linkages and the role of macroprudential policy in achieving economic and financial stability. We tailor the model to the Philippines and evaluate the model’s properties along several dimensions. The model produces plausible dynamics and sensible forecasts. This along with its simplicity makes it useful for policy analysis. In particular, it should help policymakers understand the quantitative implications of responding to changes in domestic financial conditions, along with other shocks, through the joint use of macroprudential and monetary policies.

The Central Bank of Jordan (CBJ) has developed a Forecasting and Policy Analysis System (FPAS) to serve as a reliable analytical framework for macroeconomic analysis, forecasting and decision-making under a pegged exchange rate regime. At the heart of the FPAS is the CBJ’s extended Jordan Analysis Model (JAM2.0). The model captures the monetary transmission mechanism and provides a consistent monetary policy framework that uses the exchange rate as an effective nominal anchor. This paper outlines the structure and properties of JAM2.0 and emphasizes the enhanced interplay and tradeoffs among monetary, fiscal, and foreign exchange management policies. Simulation and forecasting exercises demonstrate JAM2.0’s ability to match key stylized facts of the Jordanian economy, produce accurate forecasts of important macroeconomic variables, and explain the critical relationships among policies.

The paper describes the Quarterly Projection Model (QPM) that underlies the Bank of Ghana Forecasting and Policy Analysis System (FPAS). The New Keynesian semi-structural model incorporates the main features of the Ghanaian economy, transmission channels and policy framework, including an inflation targeting central bank and aggregate demand effects of fiscal policy. The shock propagation mechanisms embedded in the calibrated QPM demonstrate its theoretical consistency, while out-of-sample forecasting accuracy validates its empirical robustness. Another important part of the QPM is endogenous policy credibility, which may aggravate policy trade-offs in the model and make it more realistic for developing economies. Historical track record of real time policy analysis and medium-term forecasting conducted with the QPM – as a component of the broader FPAS analytical organization – establishes its critical role in supporting the Bank’s forward-looking monetary policy framework.

The paper explores the nexus between the financial and business cycles in a semi-structural New Keynesian model with a financial accelerator, an active banking sector, and an endogenous macroprudential policy reaction function. We parametrize the model for Luxembourg through a mix of calibration and Bayesian estimation techniques. The model features dynamic properties that align with theoretical priors and empirical evidence and displays sensible data-matching and forecasting capabilities, especially for credit indicators. We find that the credit gap, which remained positive during COVID-19 amid continued favorable financial conditions and policy support, had been closing by mid-2022. Model-based forecasts using data up to 2022Q2 and conditional on the October 2022 WEO projections for the Euro area suggest that Luxembourg's business and credit cycles would deteriorate until late 2024. Based on these insights about the current and projected positions in the credit cycle, the model can guide policymakers on how to adjust the macroprudential policy stance. Policy simulations suggest that the weights given to measures of credit-to-GDP and asset price gaps in the macroprudential policy rule should be well-calibrated to avoid unwarranted volatility in the policy response.

The Bangko Sentral ng Pilipinas (BSP) has enhanced its macroeconomic modeling through the Forecasting and Policy Analysis System (FPAS), transitioning from a multi-equation econometric model to a modernized system centered on the Quarterly Projection Model (QPM). In its new version, the Policy Analysis Model for the Philippines (PAMPh2.0) integrates forward-looking projections, endogenous monetary policy, fiscal and macroprudential considerations, labor dynamics, and addresses complex shocks and policy trade-offs, facilitating effective policy mix determination and supporting real-time policy evaluation. The BSP’s modernization efforts also include refining forecast calendars and strengthening communication channels to accommodate the operationalization of PAMPh2.0. Detailed validation methods ensure empirical consistency. Finally, future refinements will align the model with evolving empirical findings and theoretical insights, ensuring its continued relevance.

The paper proposes a simple, new, analytical framework for assessing the cost and benefits of macroprudential policies. It proposes a measure of net benefits in terms of parameters that can be estimated: the probability of crisis, the loss in output given crisis, policy effectiveness in bringing down both the probability and damage during crisis, and the output-cost of a policy decision. It discusses three types of policy leakages and identifies instruments that could best minimize the leakages. Some rules of thumb for policymakers are provided.

The first part of the book examines the evolution of monetary policy and prudential frameworks of the ASEAN5, with particular focus on changes since the Asian financial crisis and the more recent period of unconventional monetary policy in advanced economies. The second part of the book looks at policy responses to global financial spillovers. The third and last part of the book elaborates on the challenges ahead for monetary policy, financial stability frameworks, and the deepening of financial markets.