In this paper, we use a logit model to predict the probability of default for Korean shipping companies. We explore … numerous financial ratios to find predictors of a shipping firm’s failure and construct four default prediction models. The … indicates that utilizing information about unique financial characteristics of the shipping industry may enhance the performance …

This paper proposes a credit scoring model for the empirical assessment of default risk drivers of shipping bank loans …. A unique dataset, consisting of the credit portfolio of a ship-lending bank is used to estimate a logit model with two … expected conditions in the extremely volatile global shipping freight markets, the risk appetite of borrowers – the shipowners …

This paper aims to model the probability of a borrower violating an asset value covenant in a shipping bank loan … on the largest dataset of shipping bank loans examined to date. Results reveal that the initial amount of loan over the …

The main aim of the research was to determine the key factors determining the level of credit risk of individual … customer's history of cooperation with other financial institutions. For the research gathered data from 1000 credit … applications submitted by individual customers when applying for a credit in five different cooperative banks were used for the …

Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk …-taking is natural, as in many human activities. Among risks related to credit intermediation, credit risk assumes particular …

the Central Credit Information System (KHR) and companies' financial statements, a database was created that covers all … the SMEs with loan contract, thus we were able to examine credit risk based on a uniquely large group of enterprises. In … the macroeconomic environment on credit risk also proved to be important in the fitting of our estimates. …