Code and Data Repository for Divide-and-Contrast: A Text-based Method for Firm Market Risk Prediction

The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper Divide-and-Contrast: A Machine Learning Method for Text-based Risk Prediction Using Earnings Conference Call Transcripts by Y. He, Y. Yang, D. Lian, and K. Zhang.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-03-25
DOI
https://doi.org/10.1287/ijoc.2023.0195.cd
Citations
2
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
4.21
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article

Code and Data Repository for Divide-and-Contrast: A Text-based Method for Firm Market Risk Prediction

Kunpeng Zhang, Yi He, Defu Lian, Yi Yang
2 citations
INFORMS journal on computing
Stock Market Forecasting Methods
4.21
article

Code and Data Repository for Divide-and-Contrast: A Text-based Method for Firm Market Risk Prediction

Kunpeng Zhang, Yi He, Defu Lian, Yi Yang
article en
2 citations

Abstract

The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper Divide-and-Contrast: A Machine Learning Method for Text-based Risk Prediction Using Earnings Conference Call Transcripts by Y. He, Y. Yang, D. Lian, and K. Zhang.

INFORMS journal on computing
Openalex Percentile: Top 7%
Stock Market Forecasting Methods
4.21
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Code and Data Repository for Divide-and-Contrast: A Text-based Method for Firm Market Risk Prediction — Kunpeng Zhang, Yi He, et al. · INFORMS journal on computing (2025) | TGRS Research Map | TGRS