This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country while underscoring the importance of fundamental factors. The estimated models using city-level data for India suggest a strong influence of fundamental factors in driving housing...

We examine the effects of various borrower-based macroprudential tools in a New Keynesian environment where both real and nominal interest rates are low. Our model features long-term debt, housing transaction costs and a zero-lower bound constraint on policy rates. We find that the long-term...

Cross-border capital flows are important for South Africa. They fund the nation's relatively large external financing needs and have important financial stability implications evidenced by the large capital outflows and asset price selloffs during the COVID-19 pandemic. This paper adds to the...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms' DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative...

In this paper, we investigate whether a firm's composition of foreign liabilities matters for their resilience during economic turmoil and examine which characteristics determine a firm's foreign capital structure. Using firm-level data, we corroborate previous findings from the (international)...

Public and private sector balance sheets are an important component to any analysis of debt sustainability. A vulnerable and indebted private sector can become a sudden liability for the government; alternatively, resilient household and bank balance sheets may reveal potential sources of...

This paper argues that in the European Union (EU) deposit insurance funds are too difficult to use in bank resolution and too easy to use outside resolution. The paper proposes reforms in three areas for the effective management of bank failures of small and medium-sized banks in the European...

Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some...