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The Relationship Between Uncertainty and the Market Reaction to Information: How is it Influenced by Market and Stock-Specific Characteristics?



Numerous empirical studies dating back to Ball and Brown (1968) have investigated how markets react to the receipt of new information. However, it is only recently that authors have focussed on differentiating between, and learning from, how investors react to good and bad news. In this paper we find that investors swing between being optimistic and being pessimistic in their interpretation of the new information driven by not only the prevailing market uncertainty and sentiment but also by a significant number of firm-specific characteristics. Pessimism prevails when uncertainty is high, sentiment is weak and the information is being disseminated by companies that are lowly-valued, have high risk, are thinly traded and/or are small cap stocks. However, investors swing to being optimistic when one reverses some or all of these factors. The conclusion that we draw is that risk, uncertainty and the attitude of investors combine to determine how the markets react to new information and this flows through to asset valuations.

Suggested Citation

  • Ron Bird & Krishna Reddy & Danny Yeung, 2011. "The Relationship Between Uncertainty and the Market Reaction to Information: How is it Influenced by Market and Stock-Specific Characteristics?," Working Paper Series 14, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.
  • Handle: RePEc:uts:pwcwps:14

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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