This paper provides clear cut evidence that economic recession and distressed financial
conditions, as well as political instability constitute the key factors for mortgage default …

Prediction of loan defaults is critical to financial institutions in order to minimize losses from
loan non-payments. Some of the models that have been used to predict loan default include …

The goal of this paper is to identify the major determinants of the probability of default in a
mortgage credit operation, which is backed by collateral. We use an exclusive data set with …

Financial institutions have a large amount of data on their borrowers, which can be used to
predict the probability of borrowers defaulting their loan or not. Some of the models that have …

We build a general equilibrium model with incomplete markets, production, default, and
bankruptcy. The existence of equilibrium is proved. Theoretically, under appropriate …

The paper examines how the collateral affects the probability of default for small firms. We
present a stylized theoretical model to derive the relationship between the level of collateral …

Understanding the determinants of aggregated corporate default probabilities (PDs) has
attracted substantial research interest over the past decades. This study addresses two …

Este artigo investiga como variações nas taxas de juros afetam a probabilidade de default
(PD) em um modelo de equilíbrio geral com mercados incompletos e exigência de colateral …

Loan default has been a severe and critical issue for both lenders and borrowers. Default on
loan payments not only reduces the profitability for lenders but also affects the credit rating of …

In 2017, insurance firms in Kenya contributed 2.7% to the country's GDP compared to the
global average of 6.1% and 3.0% for Africa. It is intuitive that Kenya holds significant promise …