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Testing the mixture of distributions hypothesis on target stocks

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  • Carroll, Rachael
  • Kearney, Colm

Abstract

We test the mixture of distributions hypothesis (MDH) in which equity trading volumes and return volatilities are derived from an unobservable mixing variable, the speed of information flow to the market. Interpreting the public announcement of a takeover offer as a regime-changing firm-specific informational event, we study the daily trading volumes and price volatilities of 190 US targets from four years before the takeover announcement until the conclusion of the bid. We find strong evidence for MDH-consistent positive volume–volatility relationships before and after takeover announcements that are supportive of the applicability of the MDH in the market for corporate control.

Suggested Citation

  • Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
    • Handle: RePEc:eee:intfin:v:39:y:2015:i:c:p:1-14
    DOI: 10.1016/j.intfin.2015.05.003
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    More about this item

    Keywords

    GARCH models; Takeovers; Target stocks; Volume and volatility;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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