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Measuring Effects On Stock Returns Of Sentiment Indexes Created From Stock Message Boards

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  • Ying Zhang
  • Peggy E. Swanson
  • Wikrom Prombutr

Abstract

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  • Ying Zhang & Peggy E. Swanson & Wikrom Prombutr, 2012. "Measuring Effects On Stock Returns Of Sentiment Indexes Created From Stock Message Boards," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 35(1), pages 79-114, March.
    • Handle: RePEc:bla:jfnres:v:35:y:2012:i:1:p:79-114
    DOI: j.1475-6803.2011.01310.x
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    Citations

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    Cited by:

    1. Leung, Henry & Ton, Thai, 2015. "The impact of internet stock message boards on cross-sectional returns of small-capitalization stocks," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 37-55.
    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. Tran, Chi Phuong & Pernia, Ronald A. & Nguyen-Thanh, Nhan, 2023. "Mess or match? How do academic perspectives meet the practitioner perspectives in terms of digital transformation?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Cao, Siqing & Lyu, Hanjia & Xu, Xian, 2020. "InsurTech development: Evidence from Chinese media reports," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2020. "Can overnight return really serve as a proxy for firm-specific investor sentiment? Cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    6. Qing Liu & Hosung Son, 2024. "Data selection and collection for constructing investor sentiment from social media," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    7. 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.
    8. Agarwal, Arvind & Gupta, Aparna & Kumar, Arun & Tamilselvam, Srikanth G., 2019. "Learning risk culture of banks using news analytics," European Journal of Operational Research, Elsevier, vol. 277(2), pages 770-783.
    9. Gupta, Kartick & Banerjee, Rajabrata, 2019. "Does OPEC news sentiment influence stock returns of energy firms in the United States?," Energy Economics, Elsevier, vol. 77(C), pages 34-45.
    10. He, Feng & Qin, Shuqi & Zhang, Xiaotao, 2021. "Investor attention and platform interest rate in Chinese peer-to-peer lending market," Finance Research Letters, Elsevier, vol. 39(C).
    11. Xiong Xiong & Zhang Jin & Jin Xi & Feng Xu, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
    12. Smales, Lee A., 2015. "Time-variation in the impact of news sentiment," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 40-50.
    13. Chang, Yen-Cheng & Shao, Ran & Wang, Na, 2022. "Can stock message board sentiment predict future returns? Local versus nonlocal posts," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    14. Mariano González-Sánchez & M. Encina Morales de Vega, 2021. "Influence of Bloomberg’s Investor Sentiment Index: Evidence from European Union Financial Sector," Mathematics, MDPI, vol. 9(4), pages 1-21, February.

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