Abstract
By law, stock-listed companies must immediately disclose any information that might influence the valuation of the company in order to ensure a fair supply of information to all interested parties. However, laws and regulations do not specify clear requirements regarding the language used and the exact timing when information may be considered relevant enough for disclosure. Previous research shows that delaying bad news provides more time to adjust the language of an announcement in order to encourage a more optimistic perception. This paper investigates how the positive or negative character of news content influences the daily timing of the announcement and how the timing relates to stock performance. We find that negative messages are slightly longer than positive ones. In addition, announcements released before trading tend to have a more positive sentiment than those released during intraday trading, which may reflect a longer preparation time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Deutsche Gesellschaft für Ad-hoc Publizität (DGAP). http://www.dgap.de/.
- 2.
References
Bundesministeriums der Justiz und für Verbraucherschutz: Gesetz über den Wertpapierhandel, 6 July 1994. https://www.gesetze-im-internet.de/wphg/
Botosan, C.A., Plumlee, M.A.: A re-examination of disclosure level and the expected cost of equity capital. J. Account. Res. 40, 21–40 (2002)
Chan, L.K., Jegadeesh, N., Lakonishok, J.: Momentum Strategies. J. Finance 51(5), 1681–1713 (1996)
Brooks, C.: Introductory Econometrics for Finance. Cambridge University Press, Cambridge (2014)
Dadvar, M., Hauff, C., de Jong, F.: Scope of negation detection in sentiment analysis. In: Proceedings of the Dutch-Belgian Information Retrieval Workshop (DIR 2011), Amsterdam, Netherlands, pp. 16–20 (2011)
Demers, E.A., Vega, C.: Soft information in earnings announcements: news or noise? SSRN Electron. J. (INSEAD Working Paper No. 2010/33/AC) (2010)
Fama, E.F., French, K.R.: Common risk factors in the returns on stocks and bonds. J. Financ. Econ. 33(1), 3–56 (1993)
Feuerriegel, S., Neumann, D.: News or noise? how news drives commodity prices. In: Proceedings of the 34th International Conference on Information Systems (ICIS 2013). Association for Information Systems (2013)
Henry, E.: Are investors influenced by how earnings press releases are written? J. Bus. Commun. 45(4), 363–407 (2008)
Graham, J., Harvey, C., Rajgopal, S.: The economic implications of corporate financial reporting. J. Account. Econ. 40, 3–73 (2005)
Jegadeesh, N., Titman, S.: Returns to buying winners and selling losers: implications for stock market efficiency. J. Finance 48(1), 65–91 (1993)
Konchitchki, Y., O’Leary, D.E.: Event study methodologies in information systems research. Int. J. Account. Inf. Syst. 12(2), 99–115 (2011)
Lewis, D., Yang, Y., Rose, T., Li, F.: RCV1: a new benchmark collection for text categorization research. J. Mach. Learn. Res. 5, 361–397 (2004)
Li, F.: Annual report readability, current earnings, and earnings persistence. J. Account. Econ. 45(2–3), 221–247 (2008)
Loughran, T., McDonald, B.: Textual analysis in accounting and finance: a survey. J. Account. Res. 54(4), 1187–1230 (2016)
Liebmann, M., Hagenau, M., Häussler, M., Neumann, D.: Effects behind words: quantifying qualitative information in corporate announcements. In: 33rd International Conference on Information Systems (ICIS 2012) (2012)
MacKinlay, A.C.: Event studies in economics and finance. J. Econ. Lit. 35(1), 13–39 (1997)
Manning, C.D., Schütze, H.: Foundations of Statistical Natural Language Processing. MIT Press, Cambridge (1999)
Nicholas, C.: Barberis: thirty years of prospect theory in economics: a review and assessment. J. Econ. Perspect. 27(1), 173–196 (2013)
Pröllochs, N., Feuerriegel, S., Neumann, D.: Enhancing sentiment analysis of financial news by detecting negation scopes. In: 48th Hawaii International Conference on System Sciences (HICSS). IEEE Computer Society (2015)
Pröllochs, N., Feuerriegel, S., Neumann, D.: Generating domain-specific dictionaries using bayesian learning. In: 23rd European Conference on Information Systems (ECIS 2015), Münster, Germany (2015)
Bloomfield, R.J.: The incomplete revelation hypothesis and financial reporting. Account. Horiz. 16, 233–243 (2002)
Kotari, S.P., Shu, S., Wysocki, P.: Do managers withhold bad news? J. Account. Res. 47(1), 241–276 (2009)
Tetlock, P.C.: Giving content to investor sentiment: the role of media in the stock market. J. Finance 62(3), 1139–1168 (2007)
Tetlock, P.C., Saar-Tsechansky, M., Macskassy, S.: More than words: quantifying language to measure firms’ fundamentals. J. Finance 63(3), 1437–1467 (2008)
Thaler, R.H.: Advances in Behavioral Finance. Roundtable Series in Behavioral Economics, vol. 2. Princeton University Press, Princeton (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Palade, D., Alfano, S., Neumann, D. (2017). Say It at the Right Time: Publication Time of Financial News. In: Feuerriegel, S., Neumann, D. (eds) Enterprise Applications, Markets and Services in the Finance Industry. FinanceCom 2016. Lecture Notes in Business Information Processing, vol 276. Springer, Cham. https://doi.org/10.1007/978-3-319-52764-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-52764-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52763-5
Online ISBN: 978-3-319-52764-2
eBook Packages: Business and ManagementBusiness and Management (R0)