Multi Factor SUR in Event Study Analysis: Evidence from M&A in Singapore’s Financial Industry
This paper proposes a use of multi-factor seemingly unrelated regression (SUR) in event study analysis to study mergers and acquisitions in Singapore’s financial industry. We also study the cross-sector (banking and insurance)domestic acquisition in Singapore’s financial industry. By contrasting to the use of ordinary least squares (OLS) method, it is found that OLS method seems to underestimate the value of the sample cumulative abnormal returns as compared to SUR. The study also found that post mergers and takeovers in banking and insurance industries tend to have high possibility of negative returns.
|Date of creation:||Apr 2006|
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- A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
- Luís M. B. Cabral, 2000. "Introduction to Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262032864, June.
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- Abhay Abhyankar & Keng-Yu Ho & Huainan Zhao, 2005. "Long-run post-merger stock performance of UK acquiring firms: a stochastic dominance perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 15(10), pages 679-690.
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