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Huijink, S.; Borm, Peter; Reijnierse, Hans; Kleppe, J. - 2013

Persistent link: https://www.econbiz.de/10010228799

Garcia-Appendini, Emilia - 2014 - This draft: June 2014

This paper analyzes whether the financial distress of a firm affects the investment decisions of non-distressed competitors. On average, firms in distress impose indirect costs to non-distressed competitors by increasing costs of credit in the industry and hence restricting credit access and...

Persistent link: https://www.econbiz.de/10010410806

Creditor passivity : the effects of bank competition and institutions on the strategic use of bankruptcy filings

Hainz, Christa - 2007

Why do banks remain passive? In a model of bank-firm relationship we study the trade-off a bank faces when having defaulting firms declared bankrupt. First, the bank receives a payoff if a firm is liquidated. Second, it provides information about a firm's type to its competitors. Thereby,...

Persistent link: https://www.econbiz.de/10003951440

Dynamic screening with verifiable bankruptcy

Krähmer, Daniel; Strausz, Roland - 2022

bankruptcy as a verifiable event that occurs whenever the agent makes a per period loss. This leads to less stringent truth …

Persistent link: https://www.econbiz.de/10014476119

Bank transfers in resolution : practices and lessons

Baudino, Patrizia; Ross, Emily Johnston; Van Roosebeke, Bert - 2023

Persistent link: https://www.econbiz.de/10014442120

Population aging and small business dynamics

Xu, Peng - 2023

Persistent link: https://www.econbiz.de/10014426264

Machine learning and data balancing methods for bankruptcy prediction

Liashenko, Olena; Kravets, Tetyana; Kostovetskyi, Yevhenii - In: Mokslo darbai / Ekonomika / Vilniaus Universitetas 102 (2023) 2, pp. 28-46

The paper examines the use of various machine learning algorithms for the task of forecasting the company’s bankruptcy …

Persistent link: https://www.econbiz.de/10014428868

Corporate bankruptcy and directors' reputation : an empirical analysis of the effects on public debt contracts

Gatti, Stefano; Ivanova, Mariya N.; Pündrich, Gabriel … - In: Journal of accounting, auditing & finance : JAAF 38 (2023) 4, pp. 777-803

Persistent link: https://www.econbiz.de/10014382681

Efficacies of artificial neural networks ushering improvement in the prediction of extant credit risk models

Aranha, Meera; Bolar, Kartikeya - In: Cogent economics & finance 11 (2023) 1, pp. 1-13

Regression in predicting the bankruptcy of firms and that the same predictive power of ascertaining bankruptcy improves when a … had caused ambiguity. A significant factor that has increased the probability of bankruptcy in recent times has been the … Regression in predicting the bankruptcy of firms and that the same predictive power of ascertaining bankruptcy improves when a …

Persistent link: https://www.econbiz.de/10014500824

Is artificial intelligence really more accurate in predicting bankruptcy?

Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique … aims to develop bankruptcy prediction models for the chemical industry in Slovakia and to compare their effectiveness …. The selection of eleven financial indicators used for bankruptcy prediction was grounded in prior research and existing …

Persistent link: https://www.econbiz.de/10014502270