This paper analyzes the efficiency of risk-taking decisions in an economy that is prone to systemic risk, captured by financial amplification effects that occur in response to strong adverse shocks. It shows that decentralized agents who have unconstrained access to a complete set of Arrow...

The investment fund sector, the largest component of the non-bank financial system, is growing rapidly and the economy is becoming more reliant on investment fund financial intermediation. This paper builds a dynamic stochastic general equilibrium model with banks and investment funds. Banks...

I study economies where banks do not fully internalize the social costs of default, which distorts their lending decisions. In all these economies, a common general equilibrium effect leads to aggregate over-investment. As a result, under laissez-faire, crises are too frequent and too costly...

This paper evaluates the resilience benefits of borrower-based macroprudential policies—such as LTV, DSTI, or DTI caps—for households and banks in the EU. To that end, we employ a further developed variant of the integrated micro-macro simulation model of Gross and Población (2017). Besides...

We examine the issue of the appropriate selection of macroprudential instruments according to the vulnerabilities identified and the policymakers' objectives using a version of the 3D DSGE model following Mendicino et al. (2020) and Hinterschweiger et al. (2021) calibrated for the euro area. We...

This paper uses representative individual household data from Luxembourg to evaluate how severe economic conditions could affect bank exposure to the household sector. Information on household income, expenses and liquid assets are used to calculate household-specific probabilities of default...

This paper reexamines from a theoretical perspective the role of monetary and macroprudential policies in addressing the build-up of risks in the financial system. We construct a stylized general equilibrium model in which the key friction comes from a moral hazard problem in firms' financing...

We develop early warning models for financial crisis prediction by applying machine learning techniques to macrofinancial data for 17 countries over 1870-2016. Most nonlin-ear machine learning models outperform logistic regression in out-of-sample predictions and forecasting. We identify...

This paper studies the optimal choice of exchange rate regimes between two large currency areas. It provides a positive and normative analysis of alternative monetary policy rules in a model with sticky prices, monopolistic competition, and frictions in the processes of capital accumulation and...

Major currency areas are characterized by important differences in financial structure that are clear in microeconomic data. Surprisingly, this fact is seldom discussed in the analysis of the international transmission of shocks. This paper attempts to fill the gap. First, I show some stylized...