July 7, 2025Highlights in Business Economics and Management

An empirical study of the relationship between investor sentiment and stock market performance based on support vector machine modeling

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Authors

SYShuo YangWuhan No.1 Hospital JZJikai ZhangMongolian University of Science and Technology

Discussion

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Implication

Empirical analysis demonstrates significant effects of investor sentiment on stock market volatility, suggesting enhanced prediction accuracy with machine learning models.

Key Points

Investor sentiment significantly influences stock market volatility and can aid in making informed investment decisions.
The study achieved high accuracy using a support vector machine model to predict market movements from sentiment analysis.
An empirical approach involved collecting and analyzing market-related text data to construct a machine learning prediction model.
Future work can enhance prediction stability and accuracy through optimization of sentiment models and real-time data processing.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68af6d967567bf4f94feb349 https://doi.org/10.54097/q77pes64

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July 7, 2025Highlights in Business Economics and Management

An empirical study of the relationship between investor sentiment and stock market performance based on support vector machine modeling

View Full Paper

Ask AI

Bookmark

Authors

SYShuo YangWuhan No.1 Hospital JZJikai ZhangMongolian University of Science and Technology

Discussion

Member takes

Implication

Empirical analysis demonstrates significant effects of investor sentiment on stock market volatility, suggesting enhanced prediction accuracy with machine learning models.

Key Points

Investor sentiment significantly influences stock market volatility and can aid in making informed investment decisions.
The study achieved high accuracy using a support vector machine model to predict market movements from sentiment analysis.
An empirical approach involved collecting and analyzing market-related text data to construct a machine learning prediction model.
Future work can enhance prediction stability and accuracy through optimization of sentiment models and real-time data processing.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68af6d967567bf4f94feb349 https://doi.org/10.54097/q77pes64

View Full Paper

Ask AI

Bookmark