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Improving financial distress prediction using textual sentiment of annual reports · Study

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ArticleImproving financial distress prediction using textual sentiment of annual reports

Bo Huang2022

Article2022

Improving financial distress prediction using textual sentiment of annual reports

Bo Huang · Yinqing Luo · Jing Li

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

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Stock Market Forecasting Methods

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market 1966Financial Ratios As Predictors of Failure 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 2001Forecasting Bankruptcy More Accurately: A Simple Hazard Model 2008In Search of Distress Risk 2010The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach

Cited by

2023Speech emotion recognition and text sentiment analysis for financial distress prediction 2023Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter?2024Corporate financial distress prediction using the risk-related information content of annual reports 2024Financial distress prediction with annual reports-based deep textual feature extraction: A hybrid approach 2025

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Details

Year2022

Typearticle

Published2022-03-15

VenueAnnals of Operations Research

ISSN-L0254-5330

Languageen

Citations85

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/s10479-022-04633-3

openalex_workW4220840342

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