This study aims to design a framework of corporate governance innovation to reduce the credit risks of Micro, Small and Medium Enterprises (MSMEs) by using blockchain technology. The research design uses a qualitative approach with Grounded theory analysis for data analysis with open, axial, and...

This study proposes to assess the vulnerability of banking sector's credit portfolio under macroeconomic shocks and to evaluate its impact on banking system capitalization. Our method uses the Global Vector Autoregressive (GVAR) Model to generate adverse macroeconomic scenarios. The GVAR model...

The existence of the credit derivatives written on the eurobonds such as credit default swaps or asset swaps allows policymakers and investors to monitor the evolvement of credit risk. However, these instruments are mostly available in advanced economies, whereas the market for credit...

We propose an econometric model for predicting the share of bank debt held by bankrupt firms by combining a novel set of firm-level financial variables and macroeconomic indicators. Our firm-level data include payment remarks in the form of debt collections from private agencies and attachments...

Climate change adaptation efforts are heavily dependent on a country's fiscal capacity and the associated costs of undertaking adaptation policies. The current accumulation of high debt levels in emerging and low-income developing countries, which are disproportionately affected by climate...

Este documento estudia el impacto de los programas de compra de bonos soberanos implementados por el Banco Central Europeo desde 2014, centrándose en la dinámica del diferencial de rendimiento de los bonos soberanos de España y Portugal. El análisis confirma que, si bien los factores...