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One For All or All For One? Using Multiple-listing Information in Event Studies

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Abstract

In an event study where at least some of the sample firms have their equity securities listed in more than one market, the question arises as to which is the most appropriate market (or markets) to use for the purpose of estimating mean abnormal returns. When arbitrage activity across these markets is restricted in some way, estimating abnormal returns from just one of the markets potentially throws away valuable information. On the other hand, indiscriminate pooling is likely to result in the same information being counted more than once. We develop a Generalized Least Squares estimator that (i) uses all the information available from multiple listings, (ii) ‘downweights’ listing observations that provide little new information, and (iii) yields efficient abnormal return estimates. Finally, we apply this generalized approach to a sample of Chinese foreign mergers and acquisitions and compare the results with conventional estimates of mean abnormal returns.

Suggested Citation

  • Lulu Gu & W. Robert Reed, 2011. "One For All or All For One? Using Multiple-listing Information in Event Studies," Working Papers in Economics 11/33, University of Canterbury, Department of Economics and Finance.
  • Handle: RePEc:cbt:econwp:11/33
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    File URL: http://www.econ.canterbury.ac.nz/RePEc/cbt/econwp/1133.pdf
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    More about this item

    Keywords

    event study; multiple listings; mergers and acquisitions; China;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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