Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design-Reference-Cited by-同舟云学术

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Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design

Published:2019-04-12 Issue:9 Volume:19 Page:1569-1577
ISSN:1469-7688
Container-title:Quantitative Finance
language:en
Short-container-title:Quantitative Finance

Author:

Lahmiri Salim¹,Bekiros Stelios²³

Affiliation:

1. ESCA School of Management, 7, Abou Youssef El Kindy Street, BD Moulay Youssef, Casablanca, Morocco

2. Department of Economics, European University Institute (EUI), Via delle Fontanelle 18, I-50014 Florence, Italy

3. Department of Acc. & Finance, Athens University of Economics and Business (AUEB), 76 Patission Str., GR10434 Athens, Greece

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/14697688.2019.1588468

Reference46 articles.

1. Modeling default risk with support vector machines

2. Developing SFNN models to predict financial distress of construction companies

3. Using a hybrid evolution approach to forecast financial failures for Taiwan-listed companies

4. Clustering and visualization of bankruptcy trajectory using self-organizing map

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