Genetic algorithms applications in the analysis of insolvency risk
AbstractNo abstract is available for this item.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Banking & Finance.
Volume (Year): 22 (1998)
Issue (Month): 10-11 (October)
Contact details of provider:
Web page: http://www.elsevier.com/locate/jbf
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- J. Kingdon & K. Feldman, 1995. "Genetic algorithms and applications to finance," Applied Mathematical Finance, Taylor & Francis Journals, vol. 2(2), pages 89-116.
- 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.
- Cummins, J. David & Lalonde, David & Phillips, Richard D., 2004.
"The basis risk of catastrophic-loss index securities,"
Journal of Financial Economics,
Elsevier, vol. 71(1), pages 77-111, January.
- J. David Cummins & David Lalonde & Richard D. Phillips, 2000. "The Basis Risk of Catastrophic-Loss Index Securities," Center for Financial Institutions Working Papers 00-22, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring," European Journal of Operational Research, Elsevier, vol. 195(3), pages 942-959, June.
- Laura Marta Nuã‘Ez, 2004. "The problem of variable selection for financial distress: applying GRASP methaeuristics," Working Papers Economia wp04-30, Instituto de Empresa, Area of Economic Environment.
- Rassoul Yazdipour & Richard Constand, 2010. "Predicting Firm Failure: A Behavioral Finance Perspective," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 14(3), pages 90-104, Fall.
- Bhimani, Alnoor & Gulamhussen, Mohamed Azzim & Lopes, Samuel Da-Rocha, 2010. "Accounting and non-accounting determinants of default: An analysis of privately-held firms," Journal of Accounting and Public Policy, Elsevier, vol. 29(6), pages 517-532, November.
- Tonatiuh Peña & Serafín Martínez & Bolanle Abudu, 2009. "Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques," Working Papers 2009-18, Banco de México.
- Marianna Lyra & Akwum Onwunta & Peter Winker, 2010. "Threshold Accepting for Credit Risk Assessment and Validation," Working Papers 039, COMISEF.
- 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.
- Marianna Lyra, 2010. "Heuristic Strategies in Finance – An Overview," Working Papers 045, COMISEF.
- Jan-Henning Trustorff & Paul Konrad & Jens Leker, 2011. "Credit risk prediction using support vector machines," Review of Quantitative Finance and Accounting, Springer, vol. 36(4), pages 565-581, May.
- Nunez-Letamendia, Laura, 2007. "Fitting the control parameters of a genetic algorithm: An application to technical trading systems design," European Journal of Operational Research, Elsevier, vol. 179(3), pages 847-868, June.
- Laura Marta Nuã‘Ez, 2004. "Do Moving Average Rules Make Profits? A Study Using The Madrid Stock Market," Working Papers Economia wp04-03, Instituto de Empresa, Area of Economic Environment.
- de Andres, Javier & Landajo, Manuel & Lorca, Pedro, 2005. "Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case," European Journal of Operational Research, Elsevier, vol. 167(2), pages 518-542, December.
- Doherr, Thorsten & Czarnitzki, Dirk, 2002. "Genetic algorithms: a tool for optimization in econometrics - basic concept and an example for empirical applications," ZEW Discussion Papers 02-41, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Beenstock, Michael & Szpiro, George, 2002. "Specification search in nonlinear time-series models using the genetic algorithm," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 811-835, May.
- Majocchi, Antonio & Bacchiocchi, Emanuele & Mayrhofer, Ulrike, 2005. "Firm size, business experience and export intensity in SMEs: A longitudinal approach to complex relationships," International Business Review, Elsevier, vol. 14(6), pages 719-738, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.