Please use this identifier to cite or link to this item:
|Title:||Multi-factor SUR in event study analysis: Evidence from M&A in Singapore's financial industry|
|Source:||Tanuwidjaja, E. (2007-01-01). Multi-factor SUR in event study analysis: Evidence from M&A in Singapore's financial industry. Applied Financial Economics Letters 3 (1) : 55-62. ScholarBank@NUS Repository. https://doi.org/10.1080/17446540600706882|
|Abstract:||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 acquisitions in Singapore's financial industry. In contrast 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 firms post mergers and takeovers in the banking and insurance industries tend to have high a possibility of negative returns. © 2007 Taylor & Francis.|
|Source Title:||Applied Financial Economics Letters|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 12, 2017
checked on Dec 15, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.