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Internet information arrival and volatility of SME PRICE INDEX

Citations

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Cited by:

  1. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
  2. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
  3. Zhang, Yongjie & Zhang, Zuochao & Liu, Lanbiao & Shen, Dehua, 2017. "The interaction of financial news between mass media and new media: Evidence from news on Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 535-541.
  4. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
  5. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and return skewness: Evidence from US industries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
  6. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2016. "Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
  7. Senarathne Chamil W. & Šoja Tijana, 2019. "Heteroskedasticity in Excess Bitcoin Return Data: Google Trend vs. Garch Effects," Financial Sciences. Nauki o Finansach, Sciendo, vol. 24(3), pages 35-45, September.
  8. Lin, Shen & Ren, Da & Zhang, Wei & Zhang, Yongjie & Shen, Dehua, 2016. "Network interdependency between social media and stock trading activities: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 305-312.
  9. Zhang, Wei & Bi, Zhengzheng & Shen, Dehua, 2017. "Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 345-355.
  10. Patrick Houlihan & Germán G. Creamer, 2017. "Can Sentiment Analysis and Options Volume Anticipate Future Returns?," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 669-685, December.
  11. Patrick Houlihan & Germán G. Creamer, 2021. "Leveraging Social Media to Predict Continuation and Reversal in Asset Prices," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 433-453, February.
  12. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
  13. Shen, Dehua & Li, Xiao & Xue, Mei & Zhang, Wei, 2017. "Does microblogging convey firm-specific information? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 621-626.
  14. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and stock return: Evidence from US," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
  15. Jin, Xi & Shen, Dehua & Zhang, Wei, 2016. "Has microblogging changed stock market behavior? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 151-156.
  16. Gang Chu & John W. Goodell & Xiao Li & Yongjie Zhang, 2023. "Understanding short‐term price pressure from index reconstitutions: Evidence from the CSI 300," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2421-2440, June.
  17. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
  18. Li, Xiao & Shen, Dehua & Xue, Mei & Zhang, Wei, 2017. "Daily happiness and stock returns: The case of Chinese company listed in the United States," Economic Modelling, Elsevier, vol. 64(C), pages 496-501.
  19. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "Daily happiness and stock returns: Some international evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 201-209.
  20. Xiong, Xiong & Bian, Yuxiang & Shen, Dehua, 2018. "The time-varying correlation between policy uncertainty and stock returns: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 413-419.
  21. Moussa, Faten & BenOuda, Olfa & Delhoumi, Ezzeddine, 2017. "The use of open source internet to analysis and predict stock market trading volume," Research in International Business and Finance, Elsevier, vol. 41(C), pages 399-411.
  22. Shen, Dehua & Liu, Lanbiao & Zhang, Yongjie, 2018. "Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 928-934.
  23. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
  24. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.
  25. Zhang, Yuzhao & Liu, Haifei, 2021. "Stock market reactions to social media: Evidence from WeChat recommendations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
  26. Shen, Dehua & Li, Xiao & Zhang, Wei, 2017. "Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks," Finance Research Letters, Elsevier, vol. 23(C), pages 210-216.
  27. Gao, Yang & Wang, Yaojun & Wang, Chao & Liu, Chao, 2018. "Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 802-811.
  28. Dehua Shen & Yongjie Zhang & Xiong Xiong & Wei Zhang, 2017. "Baidu index and predictability of Chinese stock returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-8, December.
  29. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
  30. Zhao, Ruwei & Xiong, Xiong & Shen, Dehua, 2018. "Investor attention and performance of IPO firms: Evidence from online searches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 342-348.
  31. Xiong Xiong & Zhang Jin & Feng Xu & Jin Xi, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
  32. Clements, A.E. & Liao, Y., 2020. "Firm-specific information and systemic risk," Economic Modelling, Elsevier, vol. 90(C), pages 480-493.
  33. Lahmiri, Salim, 2017. "Asymmetric and persistent responses in price volatility of fertilizers through stable and unstable periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 405-414.
  34. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
  35. Zhang, Zuochao & Zhang, Yongjie & Shen, Dehua & Zhang, Wei, 2018. "The cross-correlations between online sentiment proxies: Evidence from Google Trends and Twitter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 67-75.
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