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The Use of Financial Information Systems to Predict Failure of Repaying Banks Loans
Mohd Ali, Badruldeen - 2020
From year to year, strong attention has been paid to the study of the problems of predicting firms' bankruptcy. Bankruptcy prediction is an essential issue in finance especially in emerging economics. Business information systems like Financial Information Systems (FIS) converts and store the...
Persistent link: https://www.econbiz.de/10012822710
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Forecasting New Zealand corporate failures 2001 - 10 : opportunity lost?
Van Peursem, Karen A.; Chan, Yi Chiann - In: Australian accounting review 24 (2014) 3, pp. 276-288
Persistent link: https://www.econbiz.de/10010478126
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Testing corporate model prediction accuracy
Nash, Murray - In: Australian journal of management 14 (1989) 2, pp. 211-221
Persistent link: https://www.econbiz.de/10001118633
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Forecasting New Zealand Corporate Failures 2001-2010 : Opportunity Lost?
Van-Peursem, Karen - 2012
Knowing whether an organization will fail is useful information for investors and other stakeholders. Looking to 36 New Zealand corporate failures (2001-2010), we find that anticipation of their demise was not clearly signalled in the public media. The question then emerges as to whether better...
Persistent link: https://www.econbiz.de/10013105778
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Improvements in loss given default forecasts for bank loans
Gürtler, Marc; Hibbeln, Martin - In: Journal of banking & finance 37 (2013) 7, pp. 2354-2366
Persistent link: https://www.econbiz.de/10009760650
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Empirical evidence of faulty credit scoring and business failure in P2P lending
Kim, Dongwoo - In: Global business and finance review 26 (2021) 2, pp. 67-82
the perspective of the internal credit rating system. Design/methodology/approach: Data from Moneyauction, the first P2P … self-assessed credit score system used by Moneyauction with regard to investor funding decisions and the actual repayment … performance outcomes of borrowers. The predictive power of this self-assessed credit score is also identified. Findings: The …
Persistent link: https://www.econbiz.de/10012695814
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How can lenders prosper? : comparing machine learning approaches to identify profitable peer-to-peer loan investments
Fitzpatrick, Trevor; Mues, Christophe - In: European journal of operational research : EJOR 294 (2021) 2, pp. 711-722
Persistent link: https://www.econbiz.de/10012595900
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The relevance of soft information for predicting small business credit default : evidence from a social bank
Cornée, Simon - 2015
Persistent link: https://www.econbiz.de/10011714080
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A bankruptcy probability model for assessing credit risk on corporate loans with automated variable selection
Hjelseth, Ida Nervik; Raknerud, Arvid; Vatne, Bjørn Helge - 2022
We propose an econometric model for predicting the share of bank debt held by bankrupt firms by combining a novel set of firm-level financial variables and macroeconomic indicators. Our firm-level data include payment remarks in the form of debt collections from private agencies and attachments...
Persistent link: https://www.econbiz.de/10013337991
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Previsione delle insolvenze delle imprese e qualità del credito bancario : un'analisi statistica
Laviola, Sebastiano - 1997
Persistent link: https://www.econbiz.de/10013439129