Research on Stock Market Volatility Forecasting Based on Search Index

With the development of the Internet,online search has become a main way for gaining data. This research is mainly to explore the correlation between search data of Baidu index and stock fluctuation and assess the prediction ability of Baidu index on stock fluctuation. The research used China stock market and Baidu search index from 2011 to 2022,which covers the information of A-share listed company and online search behavior. The result of experiment indicates that there is a strong correlation between search index and stock volatility, which means that we could use Baidu search index to predict stock market volatility. The innovation of the study is the systematic use of long-term search data to study the stock volatility of A-share listed company, and the research use XGBoost model to build prediction model. The result of this research might provide a new view for market volatility and it is novelty for investor and relevant apartment to invest and manage.

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Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1145/3746709.3746817
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

Research on Stock Market Volatility Forecasting Based on Search Index

Q Wang, Liqing Yao
Stock Market Forecasting Methods
article

Research on Stock Market Volatility Forecasting Based on Search Index

Q Wang, Liqing Yao
article en

Abstract

With the development of the Internet,online search has become a main way for gaining data. This research is mainly to explore the correlation between search data of Baidu index and stock fluctuation and assess the prediction ability of Baidu index on stock fluctuation. The research used China stock market and Baidu search index from 2011 to 2022,which covers the information of A-share listed company and online search behavior. The result of experiment indicates that there is a strong correlation between search index and stock volatility, which means that we could use Baidu search index to predict stock market volatility. The innovation of the study is the systematic use of long-term search data to study the stock volatility of A-share listed company, and the research use XGBoost model to build prediction model. The result of this research might provide a new view for market volatility and it is novelty for investor and relevant apartment to invest and manage.

Beijing Information Science & Technology University (CN)
Openalex Percentile: Top 73%
Stock Market Forecasting Methods
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