Credit scoring model is an important tool for assessing risks in financial industry, consequently the majority of financial institutions actively develops credit scoring model on the credit approval assessment of new customers and the credit risk management of existing customers. Nonetheless, most past researches used the one-dimensional credit scoring model to measure customer risk. In this st...

This paper develops a non-linear DSGE model to assess the interaction between ex-post interventions in credit markets and the build-up of risk ex ante. During a systemic crisis, bailouts to the financial sector relax balance sheet constraints and accelerate the economic recovery. Ex ante, the anticipation of such bailouts leads to an increase in risk-taking, making the economy more vulnerable t...

We study the impact of bank credit supply on the output and productivity of borrower firms. Exploiting a matched firm-bank database covering all credit relationships of Italian corporations over more than a decade, we measure idiosyncratic supply-side shocks to firm credit availability. Then, we estimate a production model augmented with heterogeneous financial frictions, to show that an expans...

This study uses US survey data (NLSY) and Swedish register data to estimate the relationship between returns to schooling and ability for each country separately. A significant and positive relationship is found for Sweden but not for the US. The purpose is to propose an explanation for why such differences might occur. While many studies have focused on whether credit constraints result in ine...

We examine whether credit-spread curves, engendered by a mandatory subordinated-debt requirement for banks, would help predict bank risk. We extract the credit-spread curves each quarter for each bank in our sample, and analyze the information content of credit-spread slopes. We find that credit-spread slopes are significant predictors of future credit spreads. However, credit-spread slopes do ...

The focus of the Spatial Verification Intercomparison Project (ICP) is meta-verification, that is, learning about the verification methods themselves. For a verification method to be useful it must inform the user on the nature of the forecast errors. The "fake data" component of the ICP attempts to evaluate how well the verification methods provide information on known applied errors in real a...

Credit derivatives are the latest in a series of innovations that have had a significant impact on credit markets. Using a micro data set of individual corporate loans, this paper explores whether use of credit derivatives is associated with an increase in bank credit supply. We find evidence that greater use of credit derivatives is associated with greater supply of bank credit for large term ...

Drawing on data from an empirical study of three matched subjects in upper secondary school and further education college in Scotland, this article explores some of the factors that result in differences emerging from the translation of the prescribed curriculum into the enacted curriculum. We argue that these differences raise important questions about equivalences which are being promoted thr...

Assigning responsibilities to classes is a vital task in object-oriented design, which has a great impact on the overall design of an application. However, this task is not easy for designers due to its complexity. Though many automated approaches have been developed to help designers to assign responsibilities to classes, none of them considers extracting the design knowledge (DK) about the re...

The main objective of the study is to assess the impact of micro-credit on poverty reduction . The study was conducted among recipients of microcredit provided by both Grameen Bank and the BRDB in Manikganj Sadar Upazila of Manikganj district and Sagalnaiya Upazila of Feni district. The study reveals that Grameen Bank and BRDB covered higher proportion of landless households compared to control...