Price adjustment to news with uncertain precision

Arbeitspapier

Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that market participants perfectly know the quality of released news. However, in practice, news' precision is rarely disclosed. Therefore, we extend standard Bayesian learning allowing traders to infer news' precision from two different sources. If information is perceived to be imprecise, prices react stronger. Moreover, interactions of the different precision signals affect price responses nonlinearly. Empirical tests based on intra-day T-bond futures price reactions to employment releases confirm the model's predictions and reveal statistically and economically significant effects of news' precision. Keywords: Bayesian learning ; information quality ; precision signals ; macroeconomic announcements

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: SFB 649 Discussion Paper ; No. 2008,025

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Financial Markets and the Macroeconomy ; Information and Market Efficiency; Event Studies; Insider Trading
• Thema: Börsenkurs ; Anlageverhalten ; Informationsverhalten ; Lernprozess ; Wirtschaftsinformation ; Informationswert ; Ankündigungseffekt ; Theorie ; USA

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hautsch, Nikolaus ; Hess, Dieter E. ; Müller, Christoph
• Ereignis: Veröffentlichung
• (wer): Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
• (wo): Berlin
• (wann): 2008

Weitere Informationen

• Handle: http://hdl.handle.net/10419/25267
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ