This research explores the impact of financial indicators on the credit ratings of companies listed on the S&P 500, employing a Sys-GMM model to address endogeneity concerns. Three independent variables categorized as market and survival factors alongside seven control variables sourced from...

In an era marked by multi-crisis environments, the significance of corporate finance and credit ratings amplifies, especially for German small- and medium-sized family firms, often constrained in accessing capital markets. This thesis investigates how family firms employ impression management...

How borrowers respond to future changes in the interest rate on their debt matters for the transmission of monetary policy and for household financial stability. Combining bank data, a letter RCT, and a survey, we study this question in the context of the German mortgage market, where since 2022...

How borrowers respond to future changes in the interest rate on their debt matters for the transmission of monetary policy and for household financial stability. Combining bank data, a letter RCT, and a survey, we study this question in the context of the German mortgage market, where since 2022...

This paper examines how the corporate life cycle affects credit scoring. Previous empirical studies have shown that the life cycle has an impact on financial policies, creditworthiness, risk and performance. This study utilizes panel data of U.S. listed companies for the period 1985-2017. The...

There has been heated debate regarding credit-rating agencies' (CRAs') reporting accuracy of corporate credit ratings, which is essential for investors because they rely on those crediting ratings to make investment decisions. We estimate the reporting accuracy using the data on corporate...

Purpose: The purpose of this paper is to shed the light on board evaluation for following analyses that will explore whether and how does credit rating agencies react to board performance evaluation. Design/methodology/approach: To test our research questions, we hand-collect board evaluation...

Do sovereign credit ratings take into account physical and transition climate risks? This paper empirically addresses this question using a panel dataset that includes a large sample of countries over two decades. The analysis reveals that higher temperature anomalies and more frequent natural...

This study develops a machine learning framework to improve the prediction of automobile loan defaults by integrating explainable feature selection with advanced resampling techniques. Using publicly available data, we compare Logistic Regression, Random Forest, eXtreme Gradient Boosting...

Research shows that foreign asset expropriation narrows long-term bond spreads, resulting in lower borrowing costs. However, no empirical studies have investigated the effects of expropriation on sovereign bond ratings. Bondholders and sovereign bond issuers track ratings by credit rating...

This study investigates the impact of competition on credit risk in the Turkish banking system, focusing on Islamic (participation) and conventional banking under the same regulatory conditions regarding credit risk. The credit risk model is trained using CatBoost, extreme gradient boosting...

This study presents a novel Early Warning System for monitoring the credit risk of commercial customers at a large international bank headquartered in the Netherlands. Traditional early warning methods often rely on backward-looking indicators such as probability of default or loss given...

This study investigates the interplay between bank lending standards and credit scoring behavior of Turkish banks to SMEs. A Logistic Regression Model has been used by employing CBRT bank and firm-level micro data for the 2017Q1 - 2024Q2 period. First, one of the primary findings of the study...

In dynamic models of asset markets with asymmetric information and endogenous screening, the anticipation of signaling through delayed sales incentivizes originators to exert greater effort ex ante. A central prediction in those models is a positive relationship between screening effort and the...

Research background: Financial exclusion is a very important phenomenon due to its socio-economic nature. It is linked to social exclusion and means limited access to financial services and products provided, among others, by cooperative banks. In the paper, the author presents the reasons for...

This paper explores the effectiveness of an innovative FinTech risk-scoring model to predict the risk-appropriate return for short-term credit sales. The risk score serves to mitigate the information asymmetry between the seller of receivables ("Seller") and the purchaser ("Funder"), at the same...

This paper estimates the causal effect of financial constraints on the short-term performance of Finnish SMEs using survey data from 2016-2024 and propensity score matching (PSM). We examine six outcomes: turnover, employment, investment, profitability, solvency, and innovation, and report...

The significant increase in non-performing loans (NPLs) during the escalating recession of the Greek economy motivates us to study the predictive power of credit rating models in periods of economic shocks. In parallel, we examined the responsibilities of bank management in the expansion of NPLs...