Details about Philippe du Jardin

Access statistics for papers by Philippe du Jardin.

Last updated 2025-10-10. Update your information in the RePEc Author Service.

Short-id: pdu253

Working Papers

2012

1. Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time
   MPRA Paper, University Library of Munich, Germany View citations (28)
   See also Journal Article Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time, European Journal of Operational Research, Elsevier (2012) View citations (28) (2012)
2. Forecasting financial failure using a Kohonen map: a comparative study to improve bankruptcy model over time
   Post-Print, HAL View citations (27)
3. The influence of variable selection methods on the accuracy of bankruptcy prediction models
   MPRA Paper, University Library of Munich, Germany View citations (3)

2011

4. Dividend policy
   MPRA Paper, University Library of Munich, Germany
   Also in Post-Print, HAL (2011) View citations (9)
5. Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model
   Post-Print, HAL View citations (17)
   Also in MPRA Paper, University Library of Munich, Germany (2011) View citations (19)

2010

6. Dynamic analysis of the business failure process: A study of bankruptcy trajectories
   MPRA Paper, University Library of Munich, Germany View citations (2)
7. Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy
   MPRA Paper, University Library of Munich, Germany View citations (30)

2009

8. Bankruptcy prediction models: How to choose the most relevant variables?
   MPRA Paper, University Library of Munich, Germany View citations (10)

2008

9. Bankruptcy prediction and neural networks: The contribution of variable selection methods
   MPRA Paper, University Library of Munich, Germany

Journal Articles

2025

1. A Quantification Approach of Changes in Firms' Financial Situation Using Neural Networks for Predicting Bankruptcy
   Journal of Forecasting, 2025, 44, (2), 781-802
2. Designing Ensemble-Based Models Using Neural Networks and Temporal Financial Profiles to Forecast Firms’ Financial Failure
   Computational Economics, 2025, 65, (1), 149-209

2023

3. Designing topological data to forecast bankruptcy using convolutional neural networks
   Annals of Operations Research, 2023, 325, (2), 1291-1332

2021

4. Forecasting bankruptcy using biclustering and neural network-based ensembles
   Annals of Operations Research, 2021, 299, (1), 531-566 View citations (7)
5. Forecasting corporate failure using ensemble of self-organizing neural networks
   European Journal of Operational Research, 2021, 288, (3), 869-885 View citations (8)

2019

6. Forecasting Corporate Bankruptcy Using Accrual-Based Models
   Computational Economics, 2019, 54, (1), 7-43 View citations (6)

2016

7. A two-stage classification technique for bankruptcy prediction
   European Journal of Operational Research, 2016, 254, (1), 236-252 View citations (30)

2015

8. Bankruptcy prediction using terminal failure processes
   European Journal of Operational Research, 2015, 242, (1), 286-303 View citations (41)

2012

9. Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time
   European Journal of Operational Research, 2012, 221, (2), 378-396 View citations (28)
   See also Working Paper Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time, MPRA Paper (2012) View citations (28) (2012)