, thus providing investment suggestions to the investors: credit scoring (i.e., predicting the credit risk) and profit … scoring (i.e., predicting the profitability). However, relying on a single scoring approach may bias the loan evaluation … conclusion. In this paper, we propose a bivariate model based on the integration of two scoring approaches. We first formulate …

This paper analyses the housing markets of OECD countries using a scoring model. This model is based on a European … risks. Second, it illustrates that scoring models contain subjective aspects, e.g. in the choice of weighting factors. We …

have shown promise in credit scoring, their comparative performance in the context of student loans has not been thoroughly …

and 2012 (early recession period). In the context of a stepwise methodology, we compare the Bank's credit scoring model …) to check both the predictive ability of credit scoring models during recession and the effectiveness of bank management … decrease the predictive performance of all credit scoring models. The study offers a reliable methodological tool for lending …

This paper explores the effectiveness of an innovative FinTech risk-scoring model to predict the risk … September 2022 from the private FinTech startup Crowdz and its Sustainability, Underwriting, Risk & Financial (SURF) risk-scoring … compared to nonuse of the SURF Score risk-scoring system in these transactions. While Sellers and Funders enter into a win …

This paper analyses the housing markets of OECD countries using a scoring model. This model is based on a European … risks. Second, it illustrates that scoring models contain subjective aspects, e.g. in the choice of weighting factors. We …