Search Results - subject_exact:"Kreditwürdigkeit"

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Factors affecting regional bank health and supervisory rating : an exploration

Duffy, Denise; Haubrich, Joseph Gerard; Healy, Christopher - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618932

Credit risk assessment with stacked machine learning

Columba, Francesco; Cugliari, Manuel; Di Virgilio, Stefano - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562268

Credit scores and inequality across the life cycle

Chatterjee, Satyajit; Corbae, Dean; Dempsey, Kyle P.; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609896

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Credit Scores and Inequality across the Life Cycle

Chatterjee, Satyajit; Corbae, Dean; Dempsey, Kyle P.; … - 2025

Book / Working Paper

Machine learning & artificial intelligence powered credit scoring models for Islamic Microfinance Institutions : a Blockchain approach

Mukit, Mohammad Mushfiqul Haque; Hasan, Fakhrul; … - 2026

Islamic Microfinance Institutions (IMFIs) encounter distinct difficulties with credit scoring because they need to follow Shariah principles that combine riba bans with fair financial dealings regulations. Conventional credit scoring models exhibit two shortcomings: a poor capability to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611276

The impact of BigTech and Fintech credit on income inequality

Aktar, Mahbuba; El-Shagi, Makram - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613466

The expert assessment within Banca d'Italia's in-house credit assessment system

Esposito, Lorenzo; Guglielmi, Massimo; Monterisi, Francesco - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613766

Bayesian causal inference for credit default risk

Pitso, Sello Dalton; Michael, Taryn - 2026

Banks often assume that higher credit limits increase customer default risk because greater exposure appears to imply greater vulnerability. This reasoning, however, conflates correlation with causation. Whether increasing a customer's credit limit truly raises the likelihood of default remains...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614384

The response of debtors to rate changes

Fuster, Andreas; Gianinazzi, Virginia; Hackethal, Andreas; … - 2026

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...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015592035

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The response of debtors to rate changes

Fuster, Andreas; Gianinazzi, Virginia; Hackethal, Andreas; … - 2026

Book / Working Paper

The response of debtors to rate changes

Fuster, Andreas; Gianinazzi, Virginia; Hackethal, Andreas; … - 2026

Book / Working Paper

The response of debtors to rate changes

Fuster, Andreas; Gianinazzi, Virginia; Hackethal, Andreas; … - 2026

Book / Working Paper

The devil is in the details : state-mandated personal finance education and financial well-being

Collins, J. Michael; Urban, Carly - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015553766

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The devil is in the details : state-mandated personal finance education and financial well-being

Collins, J. Michael; Urban, Carly - 2025

Book / Working Paper

Forecasting out-of-time credit scoring model risk

Yoshida Jr., Valter T.; Schiozer, Rafael Felipe; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015625453

Institutionalizing explainability in credit scoring

Bauer, Kevin; Franke, Lucia; Gill, Andrej; … - 2026

Machine learning credit scoring expands the informational frontier of retail lending, particularly for thin file borrowers, yet it also erodes the practical meaning of disclosure duties that anchor consumer protection and prudential oversight. The central financial implication is that...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640482

Credit rating agencies' views on China's Belt and Road Initiative

Ioannou, Stefanos; Keenan, Liam; Wójcik, Dariusz - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015641318

Screening with Cash Deposits in Digital Credit Markets

Gertler, Paul J.; Green, Brett; Wolfram, Catherine - 2026

We study a loan contract that requires borrowers to make a temporary cash deposit prior to disbursement, which is fully refunded and does not alter repayment incentives. In a randomized controlled trial with a digital lender, applicants are offered otherwise identical loans with or without a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015626330

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Screening with cash deposits in digital credit markets

Gertler, Paul J.; Green, Brett; Wolfram, Catherine - 2026

Book / Working Paper

Screening with cash deposits in digital credit markets

Gertler, Paul J.; Green, Brett; Wolfram, Catherine - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015643438

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Screening with Cash Deposits in Digital Credit Markets

Gertler, Paul J.; Green, Brett; Wolfram, Catherine - 2026

Book / Working Paper

The effects of climate change and climate policy on credit risk

Leegstra, Matthijs; Kole, Erik; Lönn, Rasmus - 2026

This study examines how climate-related physical and transition risks affect credit risk. We develop a modular framework based on a threshold model for credit migrations, linking the latent credit cycle to key economic indicators to measure credit risk in corporate bond markets. Using historical...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015644850

Currency differences in the determinants of corporate bond spreads : evidence from Peruvian issuers

Cisneros Rojas, Gerald Alex - 2026

This paper provides issuance-level evidence from an emerging economy with a dual-currency primary bond market, showing that currency denomination not only affects the level of corporate bond spreads but also fundamentally reshapes the transmission of macro-financial shocks across credit ratings....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647186

Corporate governance characteristics, shareholder dissent and agency cost of debt

Ding, Wenjie; Hemmings, Danial; Hodgkinson, Lynn; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647421

The adaptation imperative : climate change and sovereign credit risk

Burke, Matt; Mohaddes, Kamiar; Raissi, Mehdi - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015651533

Financial well-being and inclusion of justice involved populations : evidence from the SHED

Dasgupta, Kabir; Fernandez, Jennifer; Lloro, Alicia - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653173

A hybrid machine learning approach for customer valuation and decision-making in peer-to-peer lending

Machado, Marcos R.; Karray, Salma - 2026

Risk-Adjusted Revenue (RAR) is a key customer valuation metric that incorporates risk factors into financial assessments. While traditional methods have focused on structured data to estimate RAR, the potential impact of unstructured textual data has not been fully explored. This study addresses...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654241

Innovative credit scoring and sales accounting solutions for SMEs in Kazakhstan

Zakariya, Gulnaz; Akylbekov, Olzhas; Moldagulova, Aiman; … - 2026

This paper examines the combination of traditional banking credit assessment techniques with contemporary internal sales accounting systems in Kazakhstan, aiming to augment the precision and resilience of financial assessments pertaining to SMEs. The proposed model consists of two discrete...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633512

AI-driven bankruptcy prediction in manufacturing SMEs : comparing machine learning techniques with logistic regression

Letkovský, Stanislav; Jenčová, Sylvia; … - 2026

Bankruptcy prediction is currently a widely researched topic, as it typically results from a chain of negative events. Logistic Regression (LR) is one of the standard prediction tools; however, with advances in technology, machine learning (ML) methods are gaining prominence and demonstrating...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015634019

The traffic light effect in ESG ratings

Berg, Florian; Cornaggia, Jess; Foroni, Cristian; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015635534

Sovereign ratings and risk pricing, agency divergences in the European Union

Afonso, António; Alves, José; Gkonkas, Periklēs; … - 2026

Using annual EU-27 data for 1995-2024, we examine whether sovereign ratings mainly reflect common macro-fiscal fundamentals or whether agency-specific departures from that benchmark are also priced into sovereign funding conditions. Pooled ordered probits and a machine-learning diagnostic layer...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015675116

Debt service vs. debt stock in sovereign credit ratings : a systematic review and meta-regression analysis

Abdelmohsen, Mohamed; Abdelmohsen, Hadir; Ahmed, … - 2026

Sovereign credit ratings are central to a country's access to international capital markets, yet the relative informational content of debt service obligations versus aggregate debt stock for rating outcomes remains empirically unsettled. This systematic review synthesises econometric evidence...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676330

Market signals and investor behavior in green bond pricing : evidence from China

Deng, Xinyan; Aruga, Kentaka; Zenno, Yoshihiro; Li, Mengge - 2026

This study examines how green bond financing costs in China are jointly shaped by market pricing mechanisms and institutional investor behavior. It develops an integrated two-level framework linking issuance-level bond characteristics with investor decision-making to explain green bond pricing...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676334

Application of explainable AI and uncertainty quantification in credit risk assessment

Rambauli, Mulavhelesi; Ravele, Thakhani; Sigauke, Caston - 2026

Credit risk modelling is important for assessing the probability of borrower default and for lending decisions. Even with recent advances in predictive algorithms, however, there are obstacles to implementing transparent, robust, and reliable models that can adapt to uncertain inputs. This paper...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016059312

The informational content of bank risk weights and the role of internal ratings

Bruno, Brunella; Corielli, Francesco; Marino, Immacolata; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016060062

ZICO: a credit scoring approach to detecting zombie papers

Hurlin, Christophe; Joëts, Marc; Mignon, Valérie - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016060029

Bankruptcy prediction of privately held SMEs using feature selection methods

Paraschiv, Florentina; Schmid, Markus M.; Wahlstrøm, … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016069944

The veracity of insider trading signals in financially distressed firms

Hill, Paula; Korczak, Adriana; Wang, Shuo - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016069949

Multi-model credit rating system for SMEs : a deterministic methodology of arrangements with repetitions

Cautiero, Claudio - 2026

The present document analyzes a proprietary methodological framework, developed in 2015, based on a deterministic approach for the temporal normalization of the scores on a two-year basis and for the determination of the final rating. The distinctive element of the system lies in the use of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070024

Nonbank lending under credit registry reform : evidence from Israel's auto loan market

Tsur, Carmel - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016074475

How high does your Gini need to be? deriving minimum scorecard discrimination from business KPIs

Trana, Minh; Nguyen, Mai - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016073915

Accountability and liability in AI-related financial regulatory sandboxes : a comparative legal analysis

Kálmán, János - 2026

Regulatory sandboxes have evolved from specialised FinTech tools into broader mechanisms of regulatory experimentation. As artificial intelligence (AI) applications become embedded in credit decisioning, payment-fraud detection, identity verification, crypto-asset compliance, customer-facing...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016064185

Terrorism hinders firms' access to credit

Avom, Désiré; Abdramane, Cherif - 2026

This article analyzes the effect of terrorism on firms' access to credit. To this effect, we constitute a sample of 29,000 firms from 78 countries, both developed and developing, selected from the World Bank Enterprise Survey (WBES) data. The results obtained from the estimates of a Probit model...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016069554

Impact of the access to fogape-covid program on firm delinquency : evidence from commercial loans within the banking system

Rishmawi, José; Rojas, Cristian - 2026

One of the most used arguments for delivering Public Credit Guarantee Schemes (PCGS) is to ensure the financing of distressed firms during financial crises. However, there is little evidence of how this affects firms' future capacity to meet their debt obligations, which differs from the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082478

Borrowers in the shadows : the promise and pitfalls of alternative credit data

Jansen, Mark; Kruger, Samuel; Maturana, Gonzalo; Shams, Amin - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016071143

Support vector machines for credit scoring : a performance comparison between classical machine learning and quantum-enhanced approach

Bacigalupo, Mattia; Giribone, Pier Giuseppe - 2026

The objective of this paper is to demonstrate that traditional statistical problems in credit scoring can be solved efficiently by implementing a quantum-enhanced version of the traditional Support Vector Machines algorithm. Three significant case studies are presented, involving regression,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070037

Design of contextual agricultural credit scoring model (CACSM) for Kisan Credit Card scheme in India : an application of NLP and machine learning

Panja, Soma; Chowdhury, Subroto - 2026

This study introduces a contextual agricultural credit scoring model (CACSM) that incorporates loan repayment intention scores to enhance decision-making in collateral-free, small-ticket agricultural loans. By integrating sentiment analysis using Valence Aware Dictionary and sEntiment Reasoner...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016081389

Bankruptcy prediction from 10-K narratives : evidence from interpretable text scores and accounting baselines

Zhang, Zhen; Zheng, Moxuan; Zhang, Tongchen; Lin, Luyun; … - 2026

This study examines whether context-validated acute distress disclosures in annual Form 10-K filings improve bankruptcy-risk ranking beyond accounting variables. The analysis links U.S. Securities and Exchange Commission filing data, Item 7 Management's Discussion and Analysis text, and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016087212

Credit surfaces and economic uncertainty

Geanakoplos, Deno John; Rappoport, David E. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016087394

Market knows best : the not so hidden risks of private ratings

Drexler, Alejandro; Polacek, Andy - 2026

We implement a new methodology to measure credit rating inflation that separates default risk from liquidity risk, using private letter ratings (PLRs)-ratings disclosed only to the paying investor. After a proposed capital charge reform, the most affected life insurers drastically increased PLR...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016084697

Creditworthiness of small and medium enterprises : a fuzzy decision-making approach

Chamochumbi Diaz, Gail Denisse; Palazzi, Federica; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016088608

AdaLogit: adaptive logistic regression for interpretable credit scoring

Dorador, Albert; Hurlin, Christophe; Pérignon, Christophe - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016088956

The challenger: when do new data sources justify switching machine learning models?

Digalakis, Vassilis; Pérignon, Christophe; Saurin, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618250

Credit sales and risk scoring : a FinTech innovation

Ben Bouheni, Faten; Tewari, Manish; Salamon, Andrew; … - 2025

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...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015547364

The information advantage of forthcoming patents on debt financing

Cai, Nianyun; Zhu, Steven Xuanrui; Zhu, Hui - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015608469

Who benefits from alternative data for credit scoring? : evidence from Peru

Lee, Jung Youn; Yang, Joonhyuk; Anderson, Eric T. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015597083

Corporate taxes and entrepreneurs' income : a credit channel

Delēs, Manthos D.; Galariotis, Emilios; Iosifidi, Maria; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015440934