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Price Adjustment to News with Uncertain Precision

Author

Listed:
  • Nikolaus Hautsch

    (Humboldt-Universität zu Berlin)

  • Dieter Hess

    (University of Cologne)

  • Christoph Müller

    (University of Cologne)

Abstract

Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing the price impact of information requires perfect knowledge of news’ precision. In practice, however, precision is rarely disclosed. Therefore, we extend standard Bayesian learning, suggesting traders infer news’ precision from magnitudes of surprises and from external sources. We show that interactions of the different precision signals may result in highly nonlinear price responses. Empirical tests based on intra-day T-bond futures price reactions to employment releases confirm the model’s predictions and show that the effects are statistically and economically significant.

Suggested Citation

  • Nikolaus Hautsch & Dieter Hess & Christoph Müller, 2008. "Price Adjustment to News with Uncertain Precision," FRU Working Papers 2008/01, University of Copenhagen. Department of Economics. Finance Research Unit.
    • Handle: RePEc:kud:kuiefr:200801
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    Cited by:

    1. Hautsch, Nikolaus & Hess, Dieter & Veredas, David, 2011. "The impact of macroeconomic news on quote adjustments, noise, and informational volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2733-2746, October.
    2. Ying, Shan & Sheen, Jeffrey & Gu, Xin & Wang, Ben Zhe, 2025. "Does monetary policy uncertainty moderate the transmission of policy shocks to government bond yields?," Journal of International Money and Finance, Elsevier, vol. 154(C).
    3. repec:hum:wpaper:sfb649dp2010-005 is not listed on IDEAS
    4. Pervaiz Alam & Xiaoling Pu & Barry Hettler & Hai Lin, 2020. "The pricing of accruals quality in credit default swap spreads," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 1943-1977, September.
    5. Hess, Dieter & Orbe, Sebastian, 2011. "Irrationality or efficiency of macroeconomic survey forecasts? Implications from the anchoring bias test," CFR Working Papers 11-13, University of Cologne, Centre for Financial Research (CFR).

    More about this item

    Keywords

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    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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