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Prediction of acquisitions and portfolio returns

Author

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  • Georgios Ouzounis
  • Chrysovalantis Gaganis
  • Constantin Zopounidis

Abstract

Over recent decades, the forecasting and prediction of stock market acquisitions have been subject to increased interest due to the economic importance for various stakeholders. This study consists of two stages: dealing with the development of prediction models and their subsequent use within an investment strategy. During the first stage, we explore the ability to predict the acquisition of listed firms in the UK. In the second stage of the analysis, we explore whether it is possible to earn abnormal returns by investing in portfolios consisted of the predicted targets. The training sample includes 658 listed companies half of which were acquired between 2001 and 2005. The validation sample consists of 1,576 listed firms, of which 416 were acquired during 2006. The results indicate that the portfolios can generate abnormal returns of up to 4.78% depending on the investment horizon and the methodology employed.

Suggested Citation

  • Georgios Ouzounis & Chrysovalantis Gaganis & Constantin Zopounidis, 2009. "Prediction of acquisitions and portfolio returns," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 1(4), pages 381-406.
    • Handle: RePEc:ids:injbaf:v:1:y:2009:i:4:p:381-406
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    Citations

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    Cited by:

    1. Andriosopoulos, Dimitrios & Gaganis, Chrysovalantis & Pasiouras, Fotios & Zopounidis, Constantin, 2012. "An application of multicriteria decision aid models in the prediction of open market share repurchases," Omega, Elsevier, vol. 40(6), pages 882-890.
    2. Abe De Jong & Philip T. Fliers, 2020. "Predicting Takeover Targets: Long-Run Evidence from the Netherlands," De Economist, Springer, vol. 168(3), pages 343-368, September.
    3. Dimitris Andriosopoulos & Chrysovalantis Gaganis & Fotios Pasiouras, 2016. "Prediction of open market share repurchases and portfolio returns: evidence from France, Germany and the UK," Review of Quantitative Finance and Accounting, Springer, vol. 46(2), pages 387-416, February.

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