Are day traders bias free?-evidence from internet stock message boards

被引:3
作者
Zhang Y. [1 ]
Swanson P.E. [2 ]
机构
[1] Department of Economics and Finance, Monmouth University, West Long Branch
[2] Department of Finance and Real Estate, University of Texas at Arlington, Arlington, TX 76019
关键词
Day traders; Internet stock message boards; Retail investor sentiment; Sentiment bias; Text classifiers;
D O I
10.1007/s12197-008-9063-1
中图分类号
学科分类号
摘要
This study addresses the issue whether day traders' recommendations on stocks are biasfree. We test whether on average day traders' "Hold" sentiment is skewed and different from a neutral opinion. Posted messages and mature text classifier technology provide a novel approach to analyze the content of these "Hold" sentiment postings among day traders. Findings indicate that the self-disclosed "Hold" sentiment conveys an optimistic opinion and significantly differs from neutral. These results help both investors and researchers to better understand day traders' psychology and behaviors when they recommend stocks. The paper also provides insight into the construction of future online sentiment indexes based on stock message boards. © Springer Science + Business Media, LLC 2008.
引用
收藏
页码:96 / 112
页数:16
相关论文
共 43 条
[1]  
Admati A.R., Pfleiderer P.C., Disclosing information on the internet: Is it noise or is it news?, Technical Report, (2001)
[2]  
Antweiler W., Frank M.Z., Is all that talk just noise? The information content of internet stock message boards, J Finance, 59, 3, pp. 1259-1295, (2004)
[3]  
Asquith P., Mikhail M.B., Au A.S., Information content of equity analyst reports, J Financ Econ, 75, pp. 245-282, (2005)
[4]  
Barber B.M., Odean T., The internet and the investor, J Econ Perspect, 15, pp. 41-54, (2001)
[5]  
Barber B., Lehavy R., McNichols M., Trueman B., Can investors profit from the prophets? Consensus analyst recommendations and stock returns, J Finance, 56, pp. 531-563, (2001)
[6]  
Barber B., Lehavy R., McNichols M., Trueman B., Buys, holds, and sells: The distribution of investment banks' stock ratings and the implications for the profitability of analysts' recommendations, J Account Econ, 41, pp. 87-117, (2006)
[7]  
Bender O., Macherey K., Och F.J., Ney H., Comparison of alignment templates and maximum entropy models for natural language understanding, Proceedings of the Tenth Conference on European Chapter of the Association for Computational Linguistics, pp. 11-18, (2003)
[8]  
Berger A.L., della pietra V.J., della pietra S.A., A maximum entropy approach to natural language processing, Comput Linguist, 22, 1, pp. 39-71, (1996)
[9]  
Carleton W.T., Chen C.R., Steiner T.L., Optimism biases among brokerage and non-brokerage firms' equity recommendations: Agency costs in the investment industry, Financ Manag, 27, 1, pp. 17-30, (1998)
[10]  
Choi W.S., Cho J.M., Seo J., Analysis system of speech acts and discourse structures using maximum entropy model, Proceedings of the 37th Conference on Association for Computational Linguistics, pp. 230-237