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...

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...

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...

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...

In the peer-to-peer (P2P) lending market, current studies focus on two categories of approaches to evaluate the loans, thus providing investment suggestions to the investors: credit scoring (i.e., predicting the credit risk) and profit scoring (i.e., predicting the profitability). However,...

This study addresses the quantification of credit risk in solidarity economy entities, proposing a new methodology to redefine the concept of a "default" in the frequent situations of extreme class imbalances. The objective is to develop and evaluate credit scoring models that enhance risk...

We examine whether loan portfolio sectoral specialization provides informational advantages to banks, enabling better credit risk assessment. Using euro area credit register data, we compare probabilities of default assigned by specialized and non-specialized banks to the same borrowing firm...

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...

Prior research has investigated how narcissistic executives affect firm policies and outcomes and how these executives influence colleagues and followers. However, almost no research exists concerning the impact of narcissistic executives on external agents. We examine the case of credit...

In emerging markets like Vietnam, where student borrowers often lack traditional credit histories, accurately predicting loan eligibility remains a critical yet underexplored challenge. While machine learning and deep learning techniques have shown promise in credit scoring, their comparative...

Most of indexes regarding Credit Rating of the national debt bonds are associated to Gross National Product, which involves the well-known Keynesian Multiplicator of the IS-LM Equilibrium. Specifically, a common way of Sovereign Debt evaluation is its percentage of the Gross National Product in...

Inventory leanness requires that firms minimize inventory mistreatment and misuse. A firm performance deteriorates because of high inventory misuse, and because of such an issue, the effect on the firm's credit rating can also be seen. This study examines the effect of inventory leanness on...

Targets defined in accordance with Environmental, Social and Governance (ESG) criteria confront the business world, particularly the banking industry, with new challenges. The aim of this paper is to study the effect of ESG controversies on the credit rating of the European banking sector,...

Relying on a perspective borrowed from monetary policy announcements and introducing an econometric twist in the traditional event study analysis, we document the existence of an "event risk transfer", namely a significant credit risk transmission from the sovereign to the corporate sector after...

Based on the risk hedging perspective, this paper examines the impact of directors' and officers' liability insurance (hereafter referred to as D&O liability insurance) on the pricing of corporate bonds. We find that the purchase of D&O liability insurance can effectively reduce corporate bond...

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...

Purpose: This study tries to identify the impact of the COVID-19 pandemic on the similarity of banks' loan portfolios. Design/methodology/approach: Using the entire firm-level bank loan data from 2009 to 2020 in the Korean market, this study analyzes the cosine similarity in terms of credit...

We investigate non-financial variables for predicting bankruptcy in small and medium-sized enterprises (SMEs). The variables encompass management, board and ownership structures and are sourced from universally accessible information, rendering them available to all stakeholders and allowing for...

Purpose - We examine whether the social capital of the area where a firm's headquarters is located affects that firm's credit rating. Given that credit rating agencies only infrequently visit a firm's headquarters, it is pertinent to investigate whether this soft information is considered....

This staff memo documents a detailed analysis of the payment remark database to better understand whether the recent increase in payment remarks signals an impending wave of bankruptcies. We find that the number of high-bankruptcy-risk firms is growing in proportion to the total number of firms...

This research article presents a comparative analysis between logistic regression as a traditional method, artificial neural networks (ANNs), and decision tree as machine learning techniques for predicting credit risk. It meticulously examines and evaluates these three methods, elucidating their...

We exploit a nation-wide introduction of mandatory disclosure of borrowers' total credit exposures and show that sharing such information increases credit access independent of borrowers' history. Differentiating between borrowers applying to competitor banks and those reapplying to their...