Investor Sentiment Measurement of Merger and Acquisition Companies in Indonesia
Abstract
This research is conducted about how to measure the investor sentiment, when the prospects of merger or acquisition have completed. The measurement is done by examining the likelihood of success or failure, which can determine the investment strategy, while holding a target when it is still occurred. It is to see whether the positive investor sentiment should increase or decrease when the probability of the acquisition’s success increases or decreases and that sentiment will also vary with events during the period of offering. The purpose of this paper is to make a probability model that will describe about the investor sentiment behavior during the merger and acquisition process in Indonesia. This model will also separate the effect of Indonesia markets and target company’s movement. The samples are taken from the companies that listed in Jakarta Stock Exchange from 2009 and 2012. The information that we used in this research is the public news from the Regulator Committee of Business Providers (Komite Penyelenggara Pengawasan Usaha/KPPU) and the available newspaper in Indonesia. The result shows that after the first announcement, the investor sentiment react very enthusiasm and the trend line of the sentiment tend to increase against the stock price and the market.Downloads
Copyright (c) 2013 Information Management and Business Review
This work is licensed under a Creative Commons Attribution 4.0 International License.
Author (s) should affirm that the material has not been published previously. It has not been submitted and it is not under consideration by any other journal. At the same time author (s) need to execute a publication permission agreement to assume the responsibility of the submitted content and any omissions and errors therein. After submission of revised paper in the light of suggestions of the reviewers, the editorial team edits and formats manuscripts to bring uniformity and standardization in published material.
This work will be licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) and under condition of the license, users are free to read, copy, remix, transform, redistribute, download, print, search or link to the full texts of articles and even build upon their work as long as they credit the author for the original work. Moreover, as per journal policy author (s) hold and retain copyrights without any restrictions.