This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

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

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Enrico Tanuwidjaja (Singapore Centre for Applied and Policy Economics Department of Economics, National University of Singapore)
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 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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.fas.nus.edu.sg/ecs/pub/wp-scape/0607.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by National University of Singapore, Department of Economics, SCAPE in its series SCAPE Policy Research Working Paper Series with number 0607.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 11 pages
Date of creation: Apr 2006
Date of revision:
Handle: RePEc:sca:scaewp:0607

Contact details of provider:
Web page: http://www.fas.nus.edu.sg/ecs/scape/index.html
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: ().

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

Find related papers by JEL classification:
C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages
G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies
G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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 and Francis Journals, vol. 15(10), pages 679-690, June. [Downloadable!] (restricted)
  2. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March. [Downloadable!] (restricted)
  3. Abdul Magid Gadad & Hardy M. Thomas, 2005. "Sources of shareholders' wealth gains from asset sales," Applied Financial Economics, Taylor and Francis Journals, vol. 15(2), pages 137-141, January. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? IDEAS also indexes software components.

This page was last updated on 2009-12-1.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.