The Front-End’s Lending Decision System for the Agricultural Bank in Thailand
Author
Abstract
Suggested Citation
DOI: 10.22004/ag.econ.334389
Download full text from publisher
References listed on IDEAS
- Songkran Somboon, 2015. "Credit Scoring System for Managing Risk in Agricultural Loan Portfolio of the Thai Rural Financial Market," Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 22(1), pages 27-50, June.
- Barney, Douglas K. & Finley Graves, O. & Johnson, John D., 1999. "The farmers home administration and farm debt failure prediction," Journal of Accounting and Public Policy, Elsevier, vol. 18(2), pages 99-139.
- James R. Coakley & Carol E. Brown, 2000. "Artificial neural networks in accounting and finance: modeling issues," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 119-144, June.
- Wu, Chunchi & Wang, Xu-Ming, 2000. "A Neural Network Approach for Analyzing Small Business Lending Decisions," Review of Quantitative Finance and Accounting, Springer, vol. 15(3), pages 259-276, November.
- Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
- Calum G. Turvey & Alfons Weersink, 1997. "Credit Risk and the Demand for Agricultural Loans," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 45(3), pages 201-217, November.
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.- 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.
- Catherine Refait, 2004.
"La prévision de la faillite fondée sur l’analyse financière de l’entreprise : un état des lieux,"
Économie et Prévision, Programme National Persée, vol. 162(1), pages 129-147.
- Catherine Refait-Alexandre, 2004. "La prévision de la faillite fondée sur l'analyse financière de l'entreprise : un état des lieux," Economie & Prévision, La Documentation Française, vol. 162(1), pages 129-147.
- Catherine Refait-Alexandre, 2004. "A Review of Business Failure Prediction Based on Financial Analysis of the Firm [La prévision de la faillite fondée sur l'analyse financière de l'entreprise : un état des lieux]," Post-Print hal-01391654, HAL.
- Angelini, Eliana & di Tollo, Giacomo & Roli, Andrea, 2008. "A neural network approach for credit risk evaluation," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 733-755, November.
- Matthew Smith & Francisco Alvarez, 2022. "Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 263-295, January.
- Bello Musa Zango & Sanni Mohammed Lekan & Mohammed Jibrin Katun, 2020. "Conventional Methods in Housing Market Analysis: A Review of Literature," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 8(1), pages 227-241, January.
- Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
- 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.
- Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
- Haider A. Khan, 2002. "Can Banks Learn to Be Rational?," CIRJE F-Series CIRJE-F-151, CIRJE, Faculty of Economics, University of Tokyo.
- Dimitras, A. I. & Slowinski, R. & Susmaga, R. & Zopounidis, C., 1999. "Business failure prediction using rough sets," European Journal of Operational Research, Elsevier, vol. 114(2), pages 263-280, April.
- Fougère, D. & Golfier, C. & Horny, G. & Kremp, E., 2013. "What has been the impact of the 2008 crisis on firms’ default? (in French)," Working papers 463, Banque de France.
- Fabio Panetta & Fabiano Schivardi & Matthew Shum, 2009.
"Do Mergers Improve Information? Evidence from the Loan Market,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 673-709, June.
- Fabio Panetta & Fabiano Schivardi & Matthew Shum, 2009. "Do Mergers Improve Information? Evidence from the Loan Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 673-709, June.
- Fabio Panetta & Fabiano Schivardi & Matthew Shum, 2004. "Do mergers improve information? evidence from the loan market," Proceedings 942, Federal Reserve Bank of Chicago.
- Fabio Panetta & Fabiano Schivardi & Matthew Shum, 2004. "Do mergers improve information? Evidence from the loan market," Temi di discussione (Economic working papers) 521, Bank of Italy, Economic Research and International Relations Area.
- Panetta, Fabio & Schivardi, Fabiano & Shum, Matthew, 2005. "Do Mergers Improve Information? Evidence from the Loan Market," CEPR Discussion Papers 4961, C.E.P.R. Discussion Papers.
- Greta Falavigna, 2006. "Models for Default Risk Analysis: Focus on Artificial Neural Networks, Model Comparisons, Hybrid Frameworks," CERIS Working Paper 200610, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
- Jun Li & Junpeng Wu & Jiaquan Lin & Can Li & Huazhong Lu & Caixia Lin, 2022. "Nondestructive Identification of Litchi Downy Blight at Different Stages Based on Spectroscopy Analysis," Agriculture, MDPI, vol. 12(3), pages 1-17, March.
- Beynon, Malcolm J. & Peel, Michael J., 2001. "Variable precision rough set theory and data discretisation: an application to corporate failure prediction," Omega, Elsevier, vol. 29(6), pages 561-576, December.
- 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.
- Dejan JOVANOVIĆ & Mirjana TODOROVIĆ & Milka GRBIĆ, 2017. "Financial Indicators As Predictors Of Illiquidity," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-149, March.
- Haider A. Khan, 2004.
"General Conclusions: From Crisis to a Global Political Economy of Freedom,"
Palgrave Macmillan Books, in: Global Markets and Financial Crises in Asia, chapter 9, pages 193-211,
Palgrave Macmillan.
- Haider Ali Khan, 2003. "General Conclusions: From Crisis to A Global Political Economy of Freedom," CIRJE F-Series CIRJE-F-192, CIRJE, Faculty of Economics, University of Tokyo.
- Altman, Edward I. & Saunders, Anthony, 1997.
"Credit risk measurement: Developments over the last 20 years,"
Journal of Banking & Finance, Elsevier, vol. 21(11-12), pages 1721-1742, December.
- Edward I. Altman & Anthony Saunders, 1996. "Credit Risk Measurement: Developments over the Last 20 Years," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-3, New York University, Leonard N. Stern School of Business-.
Corrections
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:ags:thkase:334389. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/darkuth.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.