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The value of text for small business default prediction: A Deep Learning approach · Study

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ArticleThe value of text for small business default prediction: A Deep Learning approach

Christophe Mues2021

OA

Articlegreen2021

The value of text for small business default prediction: A Deep Learning approach

Christophe Mues · Cristián Bravo

128 citations·0/0 files stored·European Journal of Operational Research

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Financial Distress and Bankruptcy Prediction Banking stability, regulation, efficiency Topic Modeling

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Citations in this library

Stored only when both papers are in the corpus — 128 citations exist upstream.

References

2017Deep learning with long short-term memory networks for financial market predictions 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2020How Are Small Businesses Adjusting to COVID-19? Early Evidence from a Survey 2014Access to finance for innovative SMEs since the financial crisis 2018Deep learning models for bankruptcy prediction using textual disclosures 2012Small business financing in the UK before and during the current financial crisis 2020How are Small Businesses Adjusting to COVID-19? Early Evidence from a Survey 2015Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms

Cited by

2021Credit default prediction from user-generated text in peer-to-peer lending using deep learning 2023Explainable artificial intelligence modeling to forecast bitcoin prices 2022Credit scoring methods: Latest trends and points to consider 2022A transformer-based model for default prediction in mid-cap corporate markets 2023Forecasting movements of stock time series based on hidden state guided deep learning approach 2023Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation 2021How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments 2024A fused large language model for predicting startup success

Details

Year2021

Typearticle

Published2021-03-13

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations128

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

Identifiers

doi10.1016/j.ejor.2021.03.008

openalex_workW3012625840

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