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author:

Tang, Z. (Tang, Z..) [1] | Lin, Q. (Lin, Q..) [2] | Cai, Y. (Cai, Y..) [3] | Chen, K. (Chen, K..) [4] | Liu, D. (Liu, D..) [5]

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Abstract:

This research utilizes data mining and text analysis methods to extract investor attention, emotion, and opinion convergence from stock forums. A Restricted Reverse MIDAS model is constructed to explore the dynamic effects of real-time public opinion on intraday high-frequency stock index and trading volume. The empirical results demonstrate a positive impact of forum public opinion on high-frequency stock index and trading volume, with a time attenuation effect observed. Specifically, midday public opinion significantly influences the afternoon high-frequency stock index, exhibiting an initial increase and subsequent decrease in investor sentiment, while investor attention and opinion convergence exhibit a decreasing trend. Nighttime attention and sentiment primarily affect the next morning's high-frequency stock index. Moreover, the real-time emotional impact on the stock market varies across different environments. © 2023

Keyword:

Data mining High-frequency stock index Real-time public opinion Reverse mixed-frequency analysis

Community:

  • [ 1 ] [Tang Z.]College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 2 ] [Lin Q.]College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 3 ] [Cai Y.]College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
  • [ 4 ] [Chen K.]College of Economics and Management, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Liu D.]College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China

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Source :

International Review of Financial Analysis

ISSN: 1057-5219

Year: 2024

Volume: 93

7 . 5 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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