Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches

By Jie Sun, Hui Li, Qinghua Huang, Kai-Yu He. 2014

365 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek
4. Saaid Achchab
5. Zineb Lanbouri

In Artificial Intelligence

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. A. Ozbayoglu
4. Saaid Achchab
5. Zineb Lanbouri

Citations in the corpus

• Deep Learning for Financial Applications : A Survey (2020, background): “[92] provided a comprehensive survey about research on financial distress and corporate failures.”
• A hybrid Deep belief network approach for Financial distress prediction (2015, methodology): “Statistical techniques are initially implemented from Single variable analysis to Multiple Discriminant Analysis (MDA) by [9] and the Logit model [16].”