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Modelling Credit Risk for SMEs: Evidence from the U.S. Market. (2007). Altman, Edward I. ; Sabato, Gabriele.
In: Abacus.
RePEc:bla:abacus:v:43:y:2007:i:3:p:332-357.

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  10. Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods. (2023). Tang, Lian-Jie ; Wei, Zhen-Ke ; Xu, TA ; Xia, YU.
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  14. Predicting SMEs’ default risk: Evidence from bank-firm relationship data. (2023). Formisano, Vincenzo ; Gallucci, Carmen ; Pietrovito, Filomena ; Modina, Michele.
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  22. Revisiting SME default predictors: The Omega Score. (2022). Srhoj, Stjepan ; Altman, Edward ; Balzano, Marco ; Giannozzi, Alessandro.
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  26. Leveraging random forest in micro?enterprises credit risk modelling for accuracy and interpretability. (2022). Habib, Tabassum ; Chi, Guotai ; Uddin, Mohammad S.
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  33. Is the Financial Report Quality Important in the Default Prediction? SME Portuguese Construction Sector Evidence. (2022). Gameiro, Ana ; Lisboa, Ines ; Costa, Magali.
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  34. Leverage, Growth Opportunities, and Credit Risk: Evidence from Italian Innovative SMEs. (2022). Leone, Maria ; Pace, Roberta ; Manelli, Alberto.
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  36. Spatial dependence in microfinance credit default. (2022). Shi, Baofeng ; Dong, Yizhe ; Calabrese, Raffaella ; Medina-Olivares, Victor.
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  42. Rethinking SME default prediction: a systematic literature review and future perspectives. (2021). Marzi, Giacomo ; giannozzi, alessandro ; Ciampi, Francesco ; Altman, Edward I.
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  45. Crypto-exchanges and Credit Risk: Modelling and Forecasting the Probability of Closure. (2021). Fantazzini, Dean ; Calabrese, Raffaella.
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  46. The role of financial constraint factors in predicting SME default. (2021). Reoakova, Maria ; Karas, Michal.
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  50. Establishing a Credit Risk Evaluation System for SMEs Using the Soft Voting Fusion Model. (2021). Gao, Pengbin ; Wang, Hongxin.
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  66. Combining Kohonen maps and prior payment behavior for small enterprise default prediction. (2020). Fiano, Fabio ; Cillo, Valentina ; Ciampi, Francesco.
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  71. Can a quantitative approach be mitigated? Proposals for the application of the early warnings required by the new Italian Insolvency Code. (2020). di Trana, Melchior Gromis ; Cane, Massimo ; Bava, Fabrizio.
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  73. Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market. (2020). Serrasqueiro, Zelia ; Ashraf, Sumaira.
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  74. Assessing the credit worthiness of Italian SMEs and mini-bond issuers. (2020). Altman, Edward I ; Sabato, Gabriele ; Esentato, Maurizio.
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  76. European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors. (2020). Alaminos, David ; Antonio, Jose ; Campos, Juan Antonio ; Fernandez-Gamez, Manuel Angel.
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  77. The differential impact of leverage on the default risk of small and large firms. (2020). Rossi, Ludovico ; Varotto, Simone ; Dufour, Alfonso ; Cathcart, Lara.
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  79. The general dynamic risk assessment for the enterprise by the hologram approach in financial technology. (2019). Wang, Huiqi ; Yuan, George Xianzhi.
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  80. “Birds of a Feather” Fail Together: Exploring the Nature of Dependency in SME Defaults. (2019). Calabrese, Raffaella ; Ansell, Jake ; Andreeva, Galina.
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  82. Innovated Altman’s Model as a Predictor of Malfunctioning of Small and Medium-Sized Businesses in Bosnia and Herzegovina. (2019). Selma, Vidimli.
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  83. An empirical analysis of the impact of trade credit on bank debt restructuring. (2019). Migliardo, Carlo ; Forgione, Antonio Fabio.
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  84. Gender and Corporate Success: An Empirical Analysis of Gender-Based Corporate Performance on a Sample of Asian Small and Medium-Sized Enterprises. (2019). TAGHIZADEH-HESARY, Farhad ; Fukuda, Lisa ; Yoshino, Naoyuki.
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  85. Distinctiveness of Highly Risky Italian Firms That are Saved-A Logistic Approach. (2019). Muscettola, Marco.
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  86. A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies. (2019). Fantazzini, Dean ; Zimin, Stephan.
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  87. On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece. (2019). Charalambakis, Evangelos ; Garrett, Ian.
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  88. Do Auditors Reflect the True Image of the Company Contrary to the Clients’ Interests? An Artificial Intelligence Approach. (2019). Alonso, Jesus B ; Blazquez-Santana, Felix ; Sanchez-Medina, Agustin J.
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  89. Integrating Capital Structure, Financial and Non-Financial Performance: Distress Prediction of SMEs. (2019). Kristanti, Farida Titik.
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  90. Analysis and Comparison of Economic and Financial Risk Sources in SMEs of the Visegrad Group and Serbia. (2019). Virglerova, Zuzana ; Kovacs, Sandor ; Olah, Judit ; Popp, Jozsef ; Kovacova, Maria ; Lakner, Zoltan.
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  91. Stakeholders and Long-Term Sustainability of SMEs. Who Really Matters in Crisis Contexts, and When. (2019). Priego, Alba Maria ; Alfaro-Cortes, Esteban ; Manzaneque-Lizano, Montserrat.
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  92. Eliciting Weights of Significance of Criteria for a Monitoring Model of Performance of SMEs for Successful Insolvency Administrator’s Intervention. (2019). Lapinskiene, Giedre ; Kurschus, Ralph ; Podviezko, Askoldas.
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  93. Credit Risk Assessment Model for Small and Micro-Enterprises: The Case of Lithuania. (2019). Spicas, Renatas ; Kanapickiene, Rasa.
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  94. Improving the effectiveness of predictors in accounting-based models. (2019). Trigueiros, Duarte.
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  95. Applying a nonparametric random forest algorithm to assess the credit risk of the energy industry in China. (2019). Cai, Fei ; Tang, Lingxiao ; Ouyang, Yao .
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    RePEc:eee:tefoso:v:144:y:2019:i:c:p:563-572.

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  96. The impact of government-supported participative loans on the growth of entrepreneurial ventures. (2019). Bertoni, Fabio ; Reverte, Carmelo ; Marti, Jose.
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  97. Forecasting SMEs credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. (2019). Wang, Gang-Jin ; Xie, Chi ; Zhou, LI ; Zhu, You ; Nguyen, Truong V.
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  98. Explaining the causes of business failure using audit report disclosures. (2019). Pascual-Ezama, David ; Camacho-Miñano, Maria-del-Mar, ; Segovia-Vargas, Maria Jesus ; Muoz-Izquierdo, Nora .
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  99. Grabit: Gradient tree-boosted Tobit models for default prediction. (2019). Hirnschall, Christoph ; Sigrist, Fabio.
    In: Journal of Banking & Finance.
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  100. The use of accounting anomalies indicators to predict business failure. (2019). Gutiérrez-Nieto, Begoña ; Bernate-Valbuena, Martha ; Gutierrez-Nieto, Begoa ; Serrano-Cinca, Carlos.
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  102. The Effects of R&D Subsidies to Small and Medium-Sized Enterprises. Evidence from a Regional Program. (2018). Mariani, Marco ; Mealli, Fabrizia.
    In: Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti.
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  103. Crisi delle PMI e strumenti di warning. Un test di verifica nel settore manifatturiero. (2018). Paoloni, Mauro ; Celli, Massimiliano.
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  104. Lending technology and credit risk under different types of loans to SMEs: Evidence from China. (2018). Song, Zhuo-Lin ; Zhang, Xiao-Mei .
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  105. Forecasting distress in cooperative banks: The role of asset quality. (2018). Migliardo, Carlo ; Forgione, Antonio Fabio .
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  106. The co-insurance effect hypothesis and the cost of bank loans: Evidence from Indonesian pyramidal business groups. (2018). Chandera, Yane ; Setia-Atmaja, Lukas ; Husodo, Zaafri Ananto ; Utama, Cynthia Afriani.
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  107. Moral hazard and default risk of SMEs with collateralized loans. (2018). Perote, Javier ; Mora-Valencia, Andres ; Castillo, Jose A.
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  108. Impact of market-based finance on SMEs failure. (2018). Gupta, Jairaj ; Gregoriou, Andros.
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  109. European trade credit use and SME survival. (2018). McGuinness, Gerard ; Powell, Ronan ; Hogan, Teresa .
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  110. Predicting unlisted SMEs default: Incorporating market information on accounting-based models for improved accuracy. (2018). Andrikopoulos, Panagiotis ; Khorasgani, Amir.
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  112. PSO-based tuning of MURAME parameters for creditworthiness evaluation of Italian SMEs. (2017). Gusso, Riccardo ; Fasano, Giovanni ; Corazza, Marco ; Funari, Stefania.
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  113. Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises. (2017). Manuel, ; Jalali, Marjan S ; Perez-Bustamante, Guillermo O ; Fernando, .
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  114. Exploring the Success and Failure of Small Business in Beckley, West Virginia. (2017). Stone, Billy.
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  115. System dynamics modelling of retailers credit risk. (2017). Baradaran, Vahid ; Keshavarz, Maryam .
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  116. Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach. (2016). Savona, Roberto ; Vezzoli, Marika ; Sarlin, Peter ; Figini, Silvia.
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  117. The Value of Governance Variables in Predicting Financial Distress Among Small and Medium-Sized Enterprises in Malaysia. (2016). Khaw, Karren Lee-Hwei ; Hiau, Nur Adiana ; Ma, Muhammad M.
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  118. Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs. (2016). Inekwe, John.
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  119. Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models. (2016). Wang, Gang-Jin ; Sun, BO ; Xie, Chi ; Zhu, You ; Yan, Xin-Guo .
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  120. Predicting Operational Loss Exposure Using Past Losses. (2016). Migueis, Marco ; Curti, Filippo.
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  121. Internationalization of Albanian Firms: Challenges and Opportunities. (2016). Ashiku, Marsida .
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  122. Credit rating model development: An ordered analysis based on accounting data. (2016). Tsipouri, Lena ; Balios, Dimitris ; Thomadakis, Stavros.
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  123. Modeling default prediction with earnings management. (2016). Wu, Ruei-Shian ; Lin, Hsiou-Wei William ; Lo, Huai-Chun .
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  124. Escalation of commitment in venture capital decision making: Differentiating between domestic and international investors. (2016). wright, mike ; Manigart, Sophie ; Devigne, David .
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  125. Forecasting distress in European SME portfolios. (2016). Filipe, Sara Ferreira ; Michala, Dimitra ; Grammatikos, Theoharry.
    In: Journal of Banking & Finance.
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  126. The effect of size on the failure probabilities of SMEs: An empirical study on the US market using discrete hazard model. (2016). Hudson, Robert ; el Kalak, Izidin.
    In: International Review of Financial Analysis.
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  127. A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models. (2016). Calabrese, Raffaella ; Andreeva, Galina ; Osmetti, Silvia Angela .
    In: European Journal of Operational Research.
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  128. Creditworthiness evaluation of Italian SMEs at the beginning of the 2007–2008 crisis: An MCDA approach. (2016). Gusso, Riccardo ; Funari, Stefania ; Corazza, Marco.
    In: The North American Journal of Economics and Finance.
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  129. Energy Efficiency and Sustainable Development: An Analysis of Financial Reliability in Energy Service Companies Industry. (2016). Iazzolino, Gianpaolo ; Gabriele, Rossella .
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  130. Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method. (2016). Carfora, Alfonso ; Romano, Antonio Angelo ; Gabriele, Rossella ; Iazzolino, Gianpaolo ; Scandurra, Giuseppe.
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  131. Bankruptcy Prediction: A Survey on Evolution, Critiques, and Solutions. (2015). Gergely, Fejer-Kiraly .
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  132. Analysis of Credit Ratings for Small and Medium-Sized Enterprises: Evidence from Asia. (2015). Yoshino, Naoyuki ; TAGHIZADEH-HESARY, Farhad.
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  133. An integrated approach of system dynamics simulation and fuzzy inference system for retailers’ credit scoring. (2015). Keshavarz, Maryam ; Baradaran, Vahid.
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  134. Firm size, credit scoring accuracy and banks production of soft information. (2015). McIndoe-Calder, Tara ; McCann, Fergal.
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  135. The Role of Leverage in Firm Solvency: Evidence From Bank Loans. (2015). D'Ignazio, Alessio ; Bonaccorsi di Patti, Emilia ; Micucci, Giacinto ; Gallo, Marco ; Dignazio, Alessio.
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  136. A review of accounting research in the Asia Pacific region. (2015). Tutticci, Irene ; Smith, Tom ; Clarkson, Peter M ; Benson, Karen.
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  137. Forecasting bankruptcy for SMEs using hazard function: To what extent does size matter?. (2015). Healy, Jerome ; Gregoriou, Andros ; Gupta, Jairaj.
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  138. Systemic Sovereign Risk and Asset Prices: Evidence from the CDS Market, Stressed European Economies and Nonlinear Causality Tests. (2015). Diéguez, Ana ; Irimia-Dieguez, Ana ; Wilson, Nicholas ; Oliver-Alfonso, Maria ; Blanco-Oliver, Antonio .
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  139. L’approccio delle funzioni dose-risposta per la valutazione di trattamenti continui nei sussidi alla r&s. (2015). Mariani, Marco ; Bocci, Chiara .
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  140. Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms. (2015). Ciampi, Francesco .
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  141. The financing of innovative SMEs: A multicriteria credit rating model. (2015). Angilella, Silvia ; Mazzu, Sebastiano .
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  143. Analytical framework on credit risks for financing small and medium-sized enterprises in Asia. (2014). Yoshino, Naoyuki ; TAGHIZADEH-HESARY, Farhad.
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  144. Soft Information and Default Prediction in Cooperative and Social Banks.. (2014). CORNEE, Simon.
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  145. The value of operating cash flow in modelling credit risk for SMEs. (2014). Gregoriou, Andros ; Wilson, Nicholas ; Healy, Jerome ; Gupta, Jairaj.
    In: Applied Financial Economics.
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  146. Hometown Investment Trust Funds: An Analysis of Credit Risk. (2014). Yoshino, Naoyuki ; TAGHIZADEH-HESARY, Farhad.
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  147. Forecasting Distress in European SME Portfolios. (2014). Michala, Dimitra ; Grammatikos, Theoharry ; Filipe, Sara Ferreira.
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  148. The Determinants of Credit Default on Portuguese Start-Up Firms: .An Econometric model. (2014). Brando, Elisio ; Gonalves, Vitor ; Martins, Francisco Vitorino.
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  149. ANALYSIS OF ROMANIAN SMALL AND MEDIUM ENTERPRISES BANKRUPTCY RISK. (2014). Edina, Kulcsar.
    In: Annals of Faculty of Economics.
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  150. The effect of internationalisation on modelling credit risk for SMEs: Evidence from UK market. (2014). Gregoriou, Andros ; Wilson, Nicholas ; Healy, Jerome ; Gupta, Jairaj.
    In: Journal of International Financial Markets, Institutions and Money.
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  151. Estimation of Firms Default Rates in terms of Intangible Assets. (2014). Tsuchiya, Saiki ; Nishioka, Shinichi.
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  152. On corporate financial distress prediction: what can we learn from private firms in a small open economy?. (2014). Charalambakis, Evangelos.
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  153. A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models. (2014). Calabrese, Raffaella ; Andreeva, Galina ; Osmetti, Silvia Angela .
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  154. Finance Access of SMEs: What Role for the ECB?. (2013). Belke, Ansgar.
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  155. Forecasting distress in European SME portfolios. (2013). Filipe, Sara Ferreira ; Grammatikos, Theoharry ; Michala, Dimitra .
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  156. Analyzing the role of mutual guarantee societies on bank capital requirements for small and medium-sized enterprises. (2013). Trujillo-Ponce, Antonio ; Briozzo, Anahi ; Cardone-Riportella, Clara .
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  157. Credit risk estimation using payment history data: a comparative study of Turkish retail stores. (2013). Kaya, Mustafa ; Ulucan, Aydin ; Karan, Mehmet .
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  158. Finance Access of SMEs: What Role for the ECB?*. (2013). Belke, Ansgar.
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  159. Assessing Municipal Bond Default Probabilities. (2013). Joffe, Marc ; Holian, Matthew.
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  160. Forecasting distress in European SME portfolios. (2013). Michala, Dimitra ; Grammatikos, Theoharry ; Filipe, Sara Ferreira.
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  161. Modelling Credit Risk for Innovative SMEs: the Role of Innovation Measures. (2013). Torricelli, Costanza ; Thoma, Grid ; Pederzoli, Chiara.
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  162. Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables. (2013). Tinoco, Mario Hernandez ; Wilson, Nick.
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  163. Early warning models against bankruptcy risk for Central European and Latin American enterprises. (2013). Korol, Tomasz .
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  164. Forecasting distress in European SME portfolios. (2013). Michala, Dimitra ; Grammatikos, Theoharry ; Filipe, Sara Ferreira.
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  165. Improving Classifier Performance Assessment of Credit Scoring Models. (2012). Calabrese, Raffaella.
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  166. Patent value and liquidity: evidence from patent-collateralized loans in China. (2012). Motohashi, Kazuyuki ; Dang, Jianwei .
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  167. Examining what best explains corporate credit risk: accounting-based versus market-based models. (2012). Trujillo-Ponce, Antonio ; Samaniego-Medina, Reyes ; Cardone-Riportella, Clara .
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  168. Examining what best explains corporate credit risk: accounting-based versus market-based models. (2012). Trujillo-Ponce, Antonio ; Samaniego-Medina, Reyes ; Cardone-Riportella, Clara .
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