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On the risk prediction and analysis of soft information in finance reports · Study

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ArticleOn the risk prediction and analysis of soft information in finance reports

Ming-Feng Tsai2016

Article2016

On the risk prediction and analysis of soft information in finance reports

Ming-Feng Tsai · Chuan‐Ju Wang

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

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Financial Distress and Bankruptcy Prediction Sentiment Analysis and Opinion Mining Computational and Text Analysis Methods

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References

1938A NEW MEASURE OF RANK CORRELATION 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks 2006Analysis of Financial Time Series 2011Research design and statistical analysis 2012Sentiment During Recessions 2009Textual analysis of stock market prediction using breaking financial news 2011Earnings conference calls and stock returns: The incremental informativeness of textual tone 2011Textual Analysis of Corporate Disclosures: A Survey of the Literature

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2019Detecting fake news for reducing misinformation risks using analytics approaches 2022Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques 2020Evaluating the credit risk of SMEs using legal judgments 2019Social collateral, soft information and online peer-to-peer lending: A theoretical model 2022Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions

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Year2016

Typearticle

Published2016-07-17

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations104

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.ejor.2016.06.069

openalex_workW2492461111

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2022

Systematic Review of Financial Distress Identification using Artificial Intelligence Methods

2018News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions

2021Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China