Predicting
mergers
and
acquisitions
: a study of Tobin's Q.

This paper attempts to document the relations between takeover probability and a comprehensive set of takeover determinants, with an emphasis on Tobin’s Q. We find firms characterized by low Q ratios are more likely to be the targets of takeovers. This study makes use of a modified methodology that...

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Main Authors: Chong, Hui Shan., Lim, Jian Liang., Tan, Keng Tiong.
Other Authors: Angie Low An Chee
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/18927
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-18927
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spelling sg-ntu-dr.10356-189272023-05-19T06:16:13Z Predicting
mergers
and
acquisitions
: a study of Tobin's Q. Chong, Hui Shan. Lim, Jian Liang. Tan, Keng Tiong. Angie Low An Chee Nanyang Business School DRNTU::Business::Finance::Mergers and acquisitions This paper attempts to document the relations between takeover probability and a comprehensive set of takeover determinants, with an emphasis on Tobin’s Q. We find firms characterized by low Q ratios are more likely to be the targets of takeovers. This study makes use of a modified methodology that takes into account industry-wide levels in Q ratios. The results indicate that the industry-adjusted Q produces a more significant and accurate measure in determining takeovers targets. Analysis has also been done to examine whether takeovers motivated by low Q ratios are due to market misvaluation or the Q-theory of investments. We find insignificant support for the Q-theory of investments which implies that management inefficiencies have limited explanatory power for the takeover sample in this study. BUSINESS 2009-08-18T04:22:17Z 2009-08-18T04:22:17Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18927 en Nanyang Technological University 35 p.. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Finance::Mergers and acquisitions
spellingShingle DRNTU::Business::Finance::Mergers and acquisitions
Chong, Hui Shan.
Lim, Jian Liang.
Tan, Keng Tiong.
Predicting
mergers
and
acquisitions
: a study of Tobin's Q.
description This paper attempts to document the relations between takeover probability and a comprehensive set of takeover determinants, with an emphasis on Tobin’s Q. We find firms characterized by low Q ratios are more likely to be the targets of takeovers. This study makes use of a modified methodology that takes into account industry-wide levels in Q ratios. The results indicate that the industry-adjusted Q produces a more significant and accurate measure in determining takeovers targets. Analysis has also been done to examine whether takeovers motivated by low Q ratios are due to market misvaluation or the Q-theory of investments. We find insignificant support for the Q-theory of investments which implies that management inefficiencies have limited explanatory power for the takeover sample in this study.
author2 Angie Low An Chee
author_facet Angie Low An Chee
Chong, Hui Shan.
Lim, Jian Liang.
Tan, Keng Tiong.
format Final Year Project
author Chong, Hui Shan.
Lim, Jian Liang.
Tan, Keng Tiong.
author_sort Chong, Hui Shan.
title Predicting
mergers
and
acquisitions
: a study of Tobin's Q.
title_short Predicting
mergers
and
acquisitions
: a study of Tobin's Q.
title_full Predicting
mergers
and
acquisitions
: a study of Tobin's Q.
title_fullStr Predicting
mergers
and
acquisitions
: a study of Tobin's Q.
title_full_unstemmed Predicting
mergers
and
acquisitions
: a study of Tobin's Q.
title_sort predicting
mergers
and
acquisitions
: a study of tobin's q.
publishDate 2009
url http://hdl.handle.net/10356/18927
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