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Multi Factor SUR in Event Study Analysis: Evidence from M&A in Singapore’s Financial Industry


  • Enrico Tanuwidjaja

    (Singapore Centre for Applied and Policy Economics Department of Economics, National University of Singapore)


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.

Suggested Citation

  • Enrico Tanuwidjaja, 2006. "Multi Factor SUR in Event Study Analysis: Evidence from M&A in Singapore’s Financial Industry," SCAPE Policy Research Working Paper Series 0607, National University of Singapore, Department of Economics, SCAPE.
  • Handle: RePEc:sca:scaewp:0607

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    References listed on IDEAS

    1. Cabral, Luis M. B., 2000. "Introduction to Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262032864, July.
    2. 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.
    3. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    4. Abdul Magid Gadad & Hardy Thomas, 2005. "Sources of shareholders' wealth gains from asset sales," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 137-141.
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    More about this item


    Event study; Seemingly unrelated regression (SUR); Merger and Acquisition (M&A); Singapore; Financial Industry; Cross-sector;

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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