Applying Artificial Neural Networks to Business, Economics and Finance
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Bibliographic InfoPaper provided by Penn Economics Department in its series Penn CARESS Working Papers with number 5ecbb5c20d3d547f357aa130654099f3.
Date of creation: Aug 2002
Date of revision:
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-03-10 (All new papers)
- NEP-CMP-2003-03-10 (Computational Economics)
- NEP-ETS-2003-03-10 (Econometric Time Series)
- NEP-FIN-2003-03-10 (Finance)
- NEP-HPE-2003-03-10 (History & Philosophy of Economics)
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.:
- 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.
- María Clara Aristizábal Restrepo, . "Evaluación asimétrica de una red neuronal artificial:Aplicación al caso de la inflación en Colombia," Borradores de Economia 377, Banco de la Republica de Colombia.
- Balcaen S. & Ooghe H., 2004.
"Alternative methodologies in studies on business failure: do they produce better results than the classic statistical methods?,"
Vlerick Leuven Gent Management School Working Paper Series
2004-16, Vlerick Leuven Gent Management School.
- S. Balcaen & H. Ooghe, 2004. "Alternative methodologies in studies on business failure: do they produce better results than the classical statistical methods?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/249, Ghent University, Faculty of Economics and Business Administration.
- Barrera, Carlos R., 2011. "Impacto amplificador del ajuste de inventarios ante choques de demanda según especificaciones flexibles," Working Papers 2011-009, Banco Central de Reserva del Perú.
- Virág, Miklós & Kristóf, Tamás, 2005.
"Az első hazai csődmodell újraszámítása neurális hálók segítségével
[Recalculation of the first Hungarian bankruptcy-prediction model using neural networks]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 144-162.
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