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Determinants of Poster Reputation on Internet Stock Message Boards

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  • Ying Zhang

Abstract

Problem statement: I investigate the determinants of poster reputation in a user-rewarding reputation system on Thelion!WallStreetPit stock message board. My empirical analyses deal with two hypotheses: First, is a poster’s reputation affected by his/her characteristics at the time the message was posted? Second, is reputation also associated with the characteristics of the stock to which the message refers? Approach: To answer these two questions, I tested two sets of explanatory variables in relation to poster reputation in two fixed-effects panel regressions. Results: First, the poster’s popularity in the community, the poster’s sentiment, information quality not quantity and one day follow-up opinion on the stock all have positive impacts on the poster’s reputation; Second, recommending stocks with high price to earnings ratio and high institutional investors holding percentage reduce the chance of receiving reputation credits while promoting high liquidity stocks did the opposite. Conclusion: This study discarded light on the future construction of a credit-weighted sentiment index should the researchers consider weighing each poster’s sentiment based on its reputation. This study also helped us to build a more effective and better functional reputation system in the future. Finally, findings in this study allowed us to better examine the relationship between sentiment and stock returns in future studies.

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  • Ying Zhang, 2009. "Determinants of Poster Reputation on Internet Stock Message Boards," American Journal of Economics and Business Administration, Science Publications, vol. 1(2), pages 114-121, June.
    • Handle: RePEc:abk:jajeba:ajebasp.2009.114.121
    DOI: 10.3844/ajebasp.2009.114.121
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    1. Arezoo Hatefi Ghahfarrokhi & Mehrnoush Shamsfard, 2020. "Tehran stock exchange prediction using sentiment analysis of online textual opinions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 22-37, January.
    2. Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.
    3. Arezoo Hatefi Ghahfarrokhi & Mehrnoush Shamsfard, 2019. "Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinions," Papers 1909.03792, arXiv.org, revised Sep 2019.
    4. Xiong Xiong & Chunchun Luo & Ye Zhang & Shen Lin, 2019. "Do stock bulletin board systems (BBS) contain useful information? A viewpoint of interaction between BBS quality and predicting ability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1385-1411, March.

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