The DOI matches its Crossref record.
News or Noise? Internet Postings and Stock Prices
Abstract
The anecdotal evidence is growing that postings in Internet financial forums affect stock prices, either because the postings contain new information or because they represent successful attempts to manipulate stock prices. From an investment perspective, knowing whether this phenomenon is pervasive is important. We examined the relationship between Internet message board activity and abnormal stock returns and trading volume in the period from mid-April 1999 to mid-February 2000. Our study focused on the RagingBull.com discussion forum, an extremely popular site whose format permits the construction of an objective measure of investor opinions. For stocks in the Internet service sector, we found that on days with abnormally high message activity, changes in investor opinion correlated with abnormal industry-adjusted returns. These event days also coincided with abnormally high trading volume, which persisted for a second day. However, we found that message board activity did not predict industry-adjusted returns or abnormal trading volume, which is consistent with market efficiency.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards
Antweiler, W., & Frank, M. Z. (2004) · The Journal of Finance · doi:10.1111/j.1540-6261.2004.00662.x · Cited by 2,373
Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media
Chen, H., De, P., Hu, Y. (., & Hwang, B.-H. (2014) · Review of Financial Studies · doi:10.1093/rfs/hhu001 · Cited by 1,251
Tweets and Trades: the Information Content of Stock Microblogs
Sprenger, T. O., Tumasjan, A., Sandner, P. G., & Welpe, I. M. (2014) · European Financial Management · doi:10.1111/j.1468-036x.2013.12007.x · Cited by 561
News or Noise? Using Twitter to Identify and Understand Company-specific News Flow
Sprenger, T. O., Sandner, P. G., Tumasjan, A., & Welpe, I. M. (2014) · Journal of Business Finance & Accounting · doi:10.1111/jbfa.12086 · Cited by 160
Park, J., Konana, P., Gu, B., Kumar, A., & Raghunathan, R. (2013) · Information Systems Research · doi:10.1287/isre.2013.0492 · Cited by 123
Metadata
- Authors
- Tumarkin, R., & Whitelaw, R. F.
- Venue
- Financial Analysts Journal
- Publisher
- Informa UK Limited
- Published
- 2001-05
- Volume
- 57
- Issue
- 3
- Pages
- 41-51
- ISSN
- 0015-198X (ISSN-L)
- 1938-3312
- OpenAlex
- W2038519406
- Cited by
- 402
- References
- 0
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: News or Noise? Internet Postings and Stock Prices. https://app.cochat.ai/papers/10.2469/faj.v57.n3.2449
- The paper
- Tumarkin, R., & Whitelaw, R. F. (2001). News or Noise? Internet Postings and Stock Prices. Financial Analysts Journal. https://doi.org/10.2469/faj.v57.n3.2449
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.