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General Paper

Exploring the performance of small- and medium-sized enterprises through the credit crunch

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Pages 657-663 | Received 13 Feb 2012, Accepted 04 Mar 2014, Published online: 21 Dec 2017

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Read on this site (3)

Lize Coenen, Wouter Verbeke & Tias Guns. (2022) Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods. Journal of the Operational Research Society 73:1, pages 191-206.
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Francesca Pierri & Chrys Caroni. (2017) Bankruptcy prediction by survival models based on current and lagged values of time-varying financial data. Communications in Statistics: Case Studies, Data Analysis and Applications 3:3-4, pages 62-70.
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Raffaella Calabrese, Giampiero Marra & Silvia Angela Osmetti. (2016) Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model. Journal of the Operational Research Society 67:4, pages 604-615.
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Articles from other publishers (7)

Mallika Devi Pathak, Brajaballav Kar, Rashmi Ranjan Panigrahi & Avinash K. Shrivastava. (2023) Role of entrepreneurial resilience in SMEs to promote marketing and entrepreneurship amid Covid19 challenges. Journal of Research in Marketing and Entrepreneurship 26:1, pages 44-62.
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Jingjing Long, Cuiqing Jiang, Stanko Dimitrov & Zhao Wang. (2022) Clues from networks: quantifying relational risk for credit risk evaluation of SMEs. Financial Innovation 8:1.
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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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Yi Xiao, Guangyi Chen, Xiaoyi Nie, Zhansheng Bai & Xiaoping Zhu. (2021) Intelligent Prediction of Anti-risk Repayment Ability of Small and Medium-sized Enterprise Commercial Loan Data Based on Ant Colony Algorithm. Intelligent Prediction of Anti-risk Repayment Ability of Small and Medium-sized Enterprise Commercial Loan Data Based on Ant Colony Algorithm.
Raffaella Calabrese, Galina Andreeva & Jake Ansell. (2017) “Birds of a Feather” Fail Together: Exploring the Nature of Dependency in SME Defaults. Risk Analysis 39:1, pages 71-84.
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Ba-Hung Nguyen, Galina Andreeva & Nam Huynh. 2019. Knowledge and Systems Sciences. Knowledge and Systems Sciences 186 200 .
Galina Andreeva, Raffaella Calabrese & Silvia Angela Osmetti. (2016) A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models. European Journal of Operational Research 249:2, pages 506-516.
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