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Journal of the Operational Research Society Volume 65, 2014 - Issue 2
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General Paper

Company failure prediction with limited information: newly incorporated companies

N WilsonUniversity of LeedsLeedsUKCorrespondence[email protected]
&
A AltanlarUniversity of LeedsLeedsUKCorrespondence[email protected]
Pages 252-264 | Received 01 Nov 2011, Accepted 01 Feb 2013, Published online: 21 Dec 2017

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Hamid Cheraghali & Peter Molnár. SME default prediction: A systematic methodology-focused review. Journal of Small Business Management 0:0, pages 1-59.
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Articles from other publishers (10)

Ba Hung Nguyen, Nhat Bao Quyen Pham & Thi Hong Ha Do. (2022) Determinants of SMEs liquidation: board heterogeneity and applicability of survival models. Studies in Economics and Finance.
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Meng-Meng Tan, Dong-Ling Xu & Jian-Bo Yang. (2022) Corporate Failure Risk Assessment for Knowledge-Intensive Services Using the Evidential Reasoning Approach. Journal of Risk and Financial Management 15:3, pages 131.
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Suzaida Bakar & Bany Ariffin Amin Noordin. 2021. Recent Developments in Asian Economics International Symposia in Economic Theory and Econometrics. Recent Developments in Asian Economics International Symposia in Economic Theory and Econometrics 397 421 .
Francesco Ciampi, Alessandro Giannozzi, Giacomo Marzi & Edward I. Altman. (2021) Rethinking SME default prediction: a systematic literature review and future perspectives. Scientometrics 126:3, pages 2141-2188.
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Oliver Lukason & Art Andresson. (2019) Tax Arrears Versus Financial Ratios in Bankruptcy Prediction. Journal of Risk and Financial Management 12:4, pages 187.
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Pavol OchotnickýNick WilsonMarek KáčerMartin Alexy. (2019) Gender Diversity and Educational Attainment in Non-Listed Private Firms: Evidence from Slovakia*. Acta Oeconomica 69:2, pages 131-159.
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Zhiyong Li, Jonathan Crook & Galina Andreeva. (2017) Dynamic prediction of financial distress using Malmquist DEA. Expert Systems with Applications 80, pages 94-106.
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Eva Maria Falkner & Martin R.W. Hiebl. (2015) Risk management in SMEs: a systematic review of available evidence. The Journal of Risk Finance 16:2, pages 122-144.
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Antonio Blanco-Oliver, Rafael Pino-Mejías & Juan Lara-Rubio. (2014) Modeling the Financial Distress of Microenterprise Start- Ups Using Support Vector Machines: A Case Study. Innovar 24:1Spe, pages 153-168.
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Zhiyong Li, Jonathan N. Crook & Galina Andreeva. (2015) Dynamic Prediction of Financial Distress Using Malmquist DEA. SSRN Electronic Journal.
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