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Learning about noise

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  • Marmora, Paul
  • Rytchkov, Oleg

Abstract

This paper studies how acquisition of non-fundamental information (learning about noise) affects financial markets. We develop a rational expectations model with investors who are endowed with fundamental and non-fundamental information of heterogeneous quality and who optimally allocate learning capacity between fundamentals and noise. We demonstrate that learning about noise increases price informativeness, and the price can be the most informative when the majority of investors acquire non-fundamental information. We also find that i) investors whose prior fundamental information is relatively precise (imprecise) compared to their prior non-fundamental information learn only about fundamentals (noise) and ii) learning about fundamentals (noise) increases (decreases) the heterogeneity in the fundamental information quality across investors.

Suggested Citation

  • Marmora, Paul & Rytchkov, Oleg, 2018. "Learning about noise," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 209-224.
  • Handle: RePEc:eee:jbfina:v:89:y:2018:i:c:p:209-224
    DOI: 10.1016/j.jbankfin.2018.02.005
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    Cited by:

    1. David Russ, 2020. "Multidimensional Noise and Non-Fundamental Information Diversity," Working Papers 201, Bavarian Graduate Program in Economics (BGPE).
    2. Ping-Chen Tsai & Chi-Ming Tsai, 2021. "Estimating the proportion of informed and speculative traders in financial markets: evidence from exchange rate," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 443-470, July.
    3. Jordi Mondria & Xavier Vives & Liyan Yang, 2022. "Costly Interpretation of Asset Prices," Management Science, INFORMS, vol. 68(1), pages 52-74, January.
    4. Russ, David, 2022. "Multidimensional noise and non-fundamental information diversity," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).

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    More about this item

    Keywords

    Rational expectations; Information acquisition; Entropy; Price informativeness;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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