The paper quantifies the influence of interest rates and inflation rates on default rates of banks. By expanding the work of Duffee (1998), with the unspanned risks as in the work of Joslin, Priebsch, and Singleton (2014), we estimate a multifactor model with unspanned interest rates and...

From year to year, strong attention has been paid to the study of the problems of predicting firms' bankruptcy. Bankruptcy prediction is an essential issue in finance especially in emerging economics. Business information systems like Financial Information Systems (FIS) converts and store the...

The main aim of this paper is to investigate how far applying suitably conceived and designed credit scoring models can properly account for the incidence of default and help improve the decision-making process. Four statistical modelling techniques, namely, discriminant analysis, logistic...

Using a novel data set, we study the soft information in subprime mortgages that is not verifiable by a third party, and its relationship with mortgage default. We find that lender effort to collect soft information is intertwined with borrower self-selection into subprime mortgages. We employ...

Over the past decade, as a result of rapid growth of the loan portfolio and the financial crisis, importance of credit risk analysis has increased worldwide. After the global financial crisis, more attention has been paid to loan granting process by various researchers and financial market...

Due to the significant share of mortgage loans in the portfolio structure of a large number of commercial banks, monitoring the ability of the household sector to repay debts is very important for financial stability. Since the accumulation of non-performing loans in banks' balance sheets is...