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Designing topological data to forecast bankruptcy using convolutional neural networks · Study

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ArticleDesigning topological data to forecast bankruptcy using convolutional neural networks

Philippe du Jardin2022

Article2022

Designing topological data to forecast bankruptcy using convolutional neural networks

Philippe du Jardin

22 citations·0/0 files stored·Annals of Operations Research

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Financial Distress and Bankruptcy Prediction Neural Networks and Applications Topological and Geometric Data Analysis

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References

2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review 2020Deep learning for financial applications : A survey 2018Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study 2019Deep learning in business analytics and operations research: Models, applications and managerial implications 2018Bankruptcy prediction using imaged financial ratios and convolutional neural networks 2017Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations 2016A two-stage classification technique for bankruptcy prediction

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Year2022

Typearticle

Published2022-06-22

VenueAnnals of Operations Research

ISSN-L0254-5330

Languageen

Citations22

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/s10479-022-04780-7

openalex_workW4283397490

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