A nonparametric decision approach for entrepreneurship
Author
Abstract
Suggested Citation
DOI: 10.1007/s11365-017-0465-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
- Mark Schreiner, 2001. "A Scoring Model of the Risk of Costly Arrears at a Microfinance Lender in Bolivia," Development and Comp Systems 0109005, University Library of Munich, Germany.
- Dean Fantazzini & Silvia Figini, 2009. "Random Survival Forests Models for SME Credit Risk Measurement," Methodology and Computing in Applied Probability, Springer, vol. 11(1), pages 29-45, March.
- Loretta J. Mester, 1997. "What's the point of credit scoring?," Business Review, Federal Reserve Bank of Philadelphia, issue Sep, pages 3-16.
- Khatami, Seyed Hossein & Marchica, Maria-Teresa & Mura, Roberto, 2016. "Rating friends: The effect of personal connections on credit ratings," Journal of Corporate Finance, Elsevier, vol. 39(C), pages 222-241.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Sabahi, Sima & Parast, Mahour Mellat, 2020. "The impact of entrepreneurship orientation on project performance: A machine learning approach," International Journal of Production Economics, Elsevier, vol. 226(C).
- Xuefang Xie & Xuemei Xie & Carla Martínez-Climent, 2019. "Identifying the factors determining the entrepreneurial ecosystem of internet cultural industries in emerging economies," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 503-522, June.
- Francisco-José Cossío-Silva & María-Ángeles Revilla-Camacho & Beatriz Palacios-Florencio & Dolores Garzón Benítez, 2019. "How to face a political boycott: the relevance of entrepreneurs’ awareness," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 321-339, June.
- Márton Gosztonyi & Csákné Filep Judit, 2022. "Profiling (Non-)Nascent Entrepreneurs in Hungary Based on Machine Learning Approaches," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yao-Zhi Xu & Jian-Lin Zhang & Ying Hua & Lin-Yue Wang, 2019. "Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
- Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019. "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 22-33.
- Dean Fantazzini & Stephan Zimin, 2020.
"A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies,"
Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 19-69, March.
- Fantazzini, Dean & Zimin, Stephan, 2019. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," MPRA Paper 95988, University Library of Munich, Germany.
- Dean Fantazzini, 2022.
"Crypto-Coins and Credit Risk: Modelling and Forecasting Their Probability of Death,"
JRFM, MDPI, vol. 15(7), pages 1-34, July.
- Fantazzini, Dean, 2022. "Crypto Coins and Credit Risk: Modelling and Forecasting their Probability of Death," MPRA Paper 113744, University Library of Munich, Germany.
- DeYoung, Robert & Glennon, Dennis & Nigro, Peter, 2008. "Borrower-lender distance, credit scoring, and loan performance: Evidence from informational-opaque small business borrowers," Journal of Financial Intermediation, Elsevier, vol. 17(1), pages 113-143, January.
- Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
- Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
- Mahfuzur Rahman & Cheong Li Sa & Md. Abdul Kaium Masud, 2021. "Predicting Firms’ Financial Distress: An Empirical Analysis Using the F-Score Model," JRFM, MDPI, vol. 14(5), pages 1-16, May.
- Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
- Sangcheol Song, 2014. "Subsidiary Divestment: The Role of Multinational Flexibility," Management International Review, Springer, vol. 54(1), pages 47-70, February.
- Vogelgesang, Ulrike, 2003.
"Microfinance in Times of Crisis: The Effects of Competition, Rising Indebtedness, and Economic Crisis on Repayment Behavior,"
World Development, Elsevier, vol. 31(12), pages 2085-2114, December.
- Ulrike Vogelgesang, 2001. "Microfinance in Times of Crisis: The Effects of Competition, Rising Indebtedness, and Economic Crisis on Repayment Behavior," GK working paper series 2001-06, Post Graduate Programme "Allocation on Financial Markets", University of Mannheim, revised Nov 2001.
- Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
- Veres Ferrer, Ernesto Jesús & Labatut Serer, Gregorio & Pozuelo Campillo, Jose, 2009. "Hacia una ordenación de las pequeñas empresas atendiendo a su posible situación de fracaso/Towards a Ranking of Smaller Companies According to Their Failure Risk," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 775(18á)-77, Diciembre.
- Ono, Arito & Hasumi, Ryo & Hirata, Hideaki, 2014.
"Differentiated use of small business credit scoring by relationship lenders and transactional lenders: Evidence from firm–bank matched data in Japan,"
Journal of Banking & Finance, Elsevier, vol. 42(C), pages 371-380.
- Arito Ono & Ryo Hasumi & Hideaki Hirata, "undated". "Differentiated Use of Small Business Credit Scoring by Relationship Lenders and Transactional Lenders: Evidence from Firm?Bank Matched Data in Japan," Working Paper 164441, Harvard University OpenScholar.
- HASUMI Ryo & HIRATA Hideaki & ONO Arito, 2011. "Differentiated Use of Small Business Credit Scoring by Relationship Lenders and Transactional Lenders: Evidence from firm-bank matched data in Japan," Discussion papers 11070, Research Institute of Economy, Trade and Industry (RIETI).
- Hasumi, Ryo & Hirata, Hideaki & Ono, Arito, 2012. "Differentiated Use of Small Business Credit Scoring by Relationship Lenders and Transactional Lenders: Evidence from Firm-Bank Matched Data in Japan," Working Paper Series 23, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
- Ilhan Meric & Christine Lentz & Sherry F. Li & Gulser Meric, 2014. "A Comparison Of The Financial Characteristics Of Hong Kong And Singapore Manufacturing Firms," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 8(3), pages 31-37.
- Nguyen, Quan M.P. & Do, Hung Xuan & Molchanov, Alexander & Nguyen, Lily & Nguyen, Nhut H., 2023. "Political similarities in credit ratings," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Giuseppe Cascarino & Mirko Moscatelli & Fabio Parlapiano, 2022. "Explainable Artificial Intelligence: interpreting default forecasting models based on Machine Learning," Questioni di Economia e Finanza (Occasional Papers) 674, Bank of Italy, Economic Research and International Relations Area.
- MERIC Gulser & BENTLEY T. Jerome & McCALL W.Charles & MERIC Ilhan, 2016. "A Comparison Of The Financial Characteristics Of U.S. And European Manufacturing Firms," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(2), pages 58-67, August.
- Chen, An-Sing & Chu, Hsiang-Hui & Hung, Pi-Hsia & Cheng, Miao-Sih, 2020. "Financial risk and acquirers' stockholder wealth in mergers and acquisitions," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
- Jalal Akhavein & W. Scott Frame & Lawrence J. White, 2005.
"The Diffusion of Financial Innovations: An Examination of the Adoption of Small Business Credit Scoring by Large Banking Organizations,"
The Journal of Business, University of Chicago Press, vol. 78(2), pages 577-596, March.
- Jalal D. Akhavein & W. Scott Frame & Lawrence J. White, 2001. "The diffusion of financial innovations: an examination of the adoption of small business credit scoring by large banking organizations," FRB Atlanta Working Paper 2001-9, Federal Reserve Bank of Atlanta.
- Jalal Akhavein & W. Scott Frame & Lawrence J. White, 2001. "The Diffusion of Financial Innovations: An Examination of The Adoption of Small Business Credit Scoring by Large Banking Organizations," Center for Financial Institutions Working Papers 01-19, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Jalal Akhavein & W. Scott Frame & Lawrence J. White, 2001. "The Diffusion of Financial Innovations: An Examination of the Adoption of Small Business Credit Scoring By Large Banking Organizations," Working Papers 01-08, New York University, Leonard N. Stern School of Business, Department of Economics.
- Jalal D. Akhavein & W. Scott Frame & Lawrence J. White, 2001. "The diffusion of financial innovations: an examination of the adoption of small business credit scoring by large banking organizations," Proceedings 724, Federal Reserve Bank of Chicago.
More about this item
Keywords
Enterprise credit; Entrepreneurship; Non parametric; Decision tree; Random forest;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:intemj:v:14:y:2018:i:1:d:10.1007_s11365-017-0465-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.