Macroeconomic modeling in the context of a stochastic continuous-time environment has become more popular in recent years. Most of these models are based on stochastic differential equations to describe macroeconomic dynamics and stochastic uncertainty is mostly modeled by Brownian motions or...

This theoretical model analyzes the impact of interbank credit market dynamics on the resilience of the financial system. Based on a stochastic model of interbank market credit flows, lending in the interbank market is restricted by the availability of liquidity. Following a shock...

This paper studies the role of international investment funds in the transmission of global financial conditions to the euro area using structural Bayesian vector auto regressions. While cross-border banking sector capital ows receded significantly in the aftermath of the global financial...

Stylized data shows a structural break in the integration of lending markets which coincides with the global financial crisis. During and after the crisis, banks actively reduced their share of foreign relative to domestic banking activity and lending in particular. This increase in lending...

In this paper we investigate whether race and ethnicity influenced subprime loan pricing during 2005, the peak of the subprime mortgage expansion. We combine loan-level data on the performance of non-prime securitized mortgages with individual- and neighborhood-level data on racial and ethnic...

Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...