Philippe du Jardin : Citation Profile


Are you Philippe du Jardin?

Groupe EDHEC (École de Hautes Études Commerciales du Nord)

7

H index

6

i10 index

143

Citations

RESEARCH PRODUCTION:

6

Articles

11

Papers

RESEARCH ACTIVITY:

   13 years (2008 - 2021). See details.
   Cites by year: 11
   Journals where Philippe du Jardin has often published
   Relations with other researchers
   Recent citing documents: 25.    Total self citations: 5 (3.38 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pdu253
   Updated: 2022-08-13    RAS profile: 2021-06-05    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Philippe du Jardin.

Is cited by:

BEN JABEUR, SAMI (4)

Gutiérrez-Nieto, Begoña (2)

HENTATI KAFFEL, Rania (2)

Alam, Md. Mahmudul (2)

PRUSAK, BŁAŻEJ (2)

Lee, King Fuei (2)

Muga, Luis (2)

Silva, Pedro (2)

Amendola, Alessandra (1)

Bărbuţă-Mişu, Nicoleta (1)

Piasecki, Krzysztof (1)

Cites to:

Ooghe, Hubert (8)

Lensberg, Terje (5)

Peel, Michael (3)

PSILLAKI, Maria (2)

Silva, Pedro (1)

Chava, Sudheer (1)

Leone, Andrew (1)

Sunder, Shyam (1)

Degeorge, Francois (1)

Barth, James (1)

Wu, Yanrui (1)

Main data


Where Philippe du Jardin has published?


Journals with more than one article published# docs
European Journal of Operational Research4

Working Papers Series with more than one paper published# docs
MPRA Paper / University Library of Munich, Germany8
Post-Print / HAL3

Recent works citing Philippe du Jardin (2022 and 2021)


YearTitle of citing document
2022Fifty years since Altman (1968): Performance of financial distress prediction models. (2022). Singh, Manish K ; Bhatia, Surbhi . In: Working Papers. RePEc:anf:wpaper:12.

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2021Assessment of a failure prediction model in the energy sector: a multicriteria discrimination approach with Promethee based classification. (2021). Angilella, Silvia ; Pappalardo, Maria Rosaria. In: Papers. RePEc:arx:papers:2102.07656.

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2021Look Whos Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default. (2021). Liberati, Caterina ; Repetto, Marco ; Crosato, Lisa. In: Papers. RePEc:arx:papers:2108.13914.

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2021A transformer-based model for default prediction in mid-cap corporate markets. (2021). Bravo, Cristi'An ; Mues, Christophe ; Korangi, Kamesh. In: Papers. RePEc:arx:papers:2111.09902.

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2021Applications of machine learning for corporate bond yield spread forecasting. (2021). Jung, Hojin ; Kim, Dong H. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:58:y:2021:i:c:s1062940821001510.

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2022A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description. (2022). Yin, Hailei ; Zhou, Ying ; Chi, Guotai ; Yuan, Kunpeng. In: Research in International Business and Finance. RePEc:eee:riibaf:v:59:y:2022:i:c:s0275531921001574.

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2022No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure. (2022). Mardawi, Zeena ; Dwekat, Aladdin ; Carmona, Pedro. In: Research in International Business and Finance. RePEc:eee:riibaf:v:61:y:2022:i:c:s027553192200037x.

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2021CatBoost model and artificial intelligence techniques for corporate failure prediction. (2021). ben Arfi, Wissal ; Mefteh-Wali, Salma ; Gharib, Cheima ; ben Jabeur, Sami. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000901.

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2021Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods. (2021). Ptak-Chmielewska, Aneta. In: Statistics in Transition New Series. RePEc:exl:29stat:v:22:y:2021:i:1:p:179-195.

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2021Self-Organising (Kohonen) Maps for the Vietnam Banking Industry. (2021). Anthony, Patricia ; Nguyen, Cuong ; Gan, Christopher ; Ha, Man. In: Journal of Risk and Financial Management. RePEc:gam:jjrfmx:v:14:y:2021:i:10:p:485-:d:655598.

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2021Artificial Intelligence for Cluster Analysis: Case Study of Transport Companies in Czech Republic. (2021). Kalinova, Eva. In: Journal of Risk and Financial Management. RePEc:gam:jjrfmx:v:14:y:2021:i:9:p:411-:d:627341.

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2021.

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2021An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression. (2021). el Moudden, Abdeslam ; Oudgou, Mohamed ; el Goumi, Badreddine ; Jamali-Alaoui, Amine ; Zizi, Youssef. In: Risks. RePEc:gam:jrisks:v:9:y:2021:i:11:p:200-:d:674179.

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2021Factors determining Z-score and corporate failure in Malaysian companies. (2021). Said, Jamaliah ; Alam, Md Mahmudul ; Lokman, Norziana ; Hasanah, Nurul Izzaty. In: Post-Print. RePEc:hal:journl:hal-03520192.

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2022Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data. (2022). Ryu, Doojin ; Cho, Hoon ; Kim, Hyeongjun. In: Computational Economics. RePEc:kap:compec:v:59:y:2022:i:3:d:10.1007_s10614-021-10126-5.

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2021Factors Determining Z-score and Corporate Failure in Malaysian Companies. (2021). Alam, Md. Mahmudul ; Lokman, Norziana ; Hasanah, Nurul Izzaty ; Said, Jamaliah. In: OSF Preprints. RePEc:osf:osfxxx:ke8ab.

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2021Does the life cycle affect earnings management and bankruptcy?. (2021). Tumpach, Milos ; Marousek, Josef ; Privara, Andrej ; Michalkova, Lucia ; Durana, Pavol. In: Oeconomia Copernicana. RePEc:pes:ieroec:v:12:y:2021:i:2:p:425-461.

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2021Can earnings management information improve bankruptcy prediction models?. (2021). Severin, Eric ; Veganzones, David. In: Annals of Operations Research. RePEc:spr:annopr:v:306:y:2021:i:1:d:10.1007_s10479-021-04183-0.

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2022A new approach to deal with variable selection in neural networks: an application to bankruptcy prediction. (2022). Ayadi, Rim ; Abid, Ilyes ; Mkaouar, Farid ; Guesmi, Khaled. In: Annals of Operations Research. RePEc:spr:annopr:v:313:y:2022:i:2:d:10.1007_s10479-021-04236-4.

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2021Predicting future technological convergence patterns based on machine learning using link prediction. (2021). Sohn, So Young ; Lee, Jung Pyo ; Cho, Joon Hyung. In: Scientometrics. RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-03999-8.

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2021Firm financial performance during the financial crisis: A French case study. (2021). Meftehwali, Salma ; Hassine, Rabi Belhaj ; ben Jabeur, Sami. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:26:y:2021:i:2:p:2800-2812.

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2022A two?stage Bayesian network model for corporate bankruptcy prediction. (2022). Hua, Shan ; Zhai, Jia ; Liu, Xiaoquan ; Cao, YI. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:27:y:2022:i:1:p:455-472.

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2021Prediction of remaining time on site for e?commerce users: A SOM and long short?term memory study. (2021). Yu, Chang ; Wang, Hungjui ; Chiu, Chihchou ; Kao, Lingjing. In: Journal of Forecasting. RePEc:wly:jforec:v:40:y:2021:i:7:p:1274-1290.

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2021Human resources and corporate failure prediction modeling: Evidence from Belgium. (2021). Veganzones, David ; Severin, Eric ; Bredart, Xavier. In: Journal of Forecasting. RePEc:wly:jforec:v:40:y:2021:i:7:p:1325-1341.

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2022Corporate failure prediction using threshold?based models. (2022). Veganzones, David. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:5:p:956-979.

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Works by Philippe du Jardin:


YearTitleTypeCited
2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time In: European Journal of Operational Research.
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article18
2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time.(2012) In: MPRA Paper.
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This paper has another version. Agregated cites: 18
paper
2015Bankruptcy prediction using terminal failure processes In: European Journal of Operational Research.
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article24
2016A two-stage classification technique for bankruptcy prediction In: European Journal of Operational Research.
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article18
2021Forecasting corporate failure using ensemble of self-organizing neural networks In: European Journal of Operational Research.
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article0
2012Forecasting financial failure using a Kohonen map: a comparative study to improve bankruptcy model over time In: Post-Print.
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paper16
2011Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model In: Post-Print.
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paper18
2011Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model.(2011) In: MPRA Paper.
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This paper has another version. Agregated cites: 18
paper
2011Dividend policy In: Post-Print.
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paper9
2011Dividend policy.(2011) In: MPRA Paper.
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This paper has another version. Agregated cites: 9
paper
2019Forecasting Corporate Bankruptcy Using Accrual-Based Models In: Computational Economics.
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article3
2010Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy In: MPRA Paper.
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paper25
2010Dynamic analysis of the business failure process: A study of bankruptcy trajectories In: MPRA Paper.
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paper2
2009Bankruptcy prediction models: How to choose the most relevant variables? In: MPRA Paper.
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paper5
2012The influence of variable selection methods on the accuracy of bankruptcy prediction models In: MPRA Paper.
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paper3
2008Bankruptcy prediction and neural networks: The contribution of variable selection methods In: MPRA Paper.
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paper0
2021Forecasting bankruptcy using biclustering and neural network-based ensembles In: Annals of Operations Research.
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article2

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