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Advances in Computational Intelligence and Robotics
In recent years researchers in financial management have shown considerable interest in predicting future takeover target companies in merger and acquisition (M&A) scenarios. However, most of these predictions are based upon multiple instances of previous takeovers. Now consider a company that is at the early stage of its acquisition spree and therefore has only limited data of possibly only a single previous takeover. Traditional studies on M&A, based upon statistical records of multiple previous takeovers, may not be suitable for suggesting future takeover targets for this company since the lack of history data strongly limits the applicability of statistical techniques. The challenge then is to extract as much knowledge as possible from the single/limited takeover history in order to guide this company during future takeover selections. Under such an extreme case, the authors present a new algorithmic approach for suggesting future takeover targets for acquiring companies based o...
First BRICS Countries Congress on Computational Intelligence
Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification Theory and Case Study2013 •
In this paper, we propose a new methodology based on the Negative Selection Algorithm that belongs to the field of Computational Intelligence (specifically, Artificial Immune Systems - AIS) to identify takeover targets. Although considerable research based on customary statistical techniques and some contemporary Computational Intelligence techniques have been devoted to identify takeover targets, most of the existing studies are based upon multiple previous mergers and acquisitions. Contrary to previous research, the novelty of this proposal lies in the methodology’s ability to suggest takeover targets for novice firms that are at the beginning of their merger and acquisition spree. We first discuss the theoretical perspective and then provide a case study with details for practical implementation, both capitalizing from unique generalization capabilities of AIS algorithms.
2012 •
Abstract Merger and Acquisition (M&A) prediction has been an interesting and challenging research topic in the past a few decades. However, past work has only adopted numerical features in building models, and yet the valuable textual information from the great variety of social media sites has not been touched at all. To fully explore this information, we used the profiles and news articles for companies and people on TechCrunch, the leading and largest public database for the tech world, which anybody can edit.
International Journal of Financial Services Management
Predicting Greek mergers and acquisitions: a new approach2007 •
The current tensions between the West and Russia, which peaked after the Russian military intervention in Ukraine, can be traced back to the rebuilding of relations between Russia and the West at the end of the Cold War, the collapse of the Soviet Union and the creation of Russia, and many of today's crises can be traced back to those years.
La Ciencia Política en España
Emociones y Política: La evolución científica de la disciplina en España2024 •
2013 •
1992 •
IBM Journal of Research and Development
Emergencies do not stop at night: Advanced analysis of displacement based on satellite-derived nighttime light observations2019 •
Journal of Gastrointestinal and Liver Diseases
Patient-Physician Relationship in Irritable Bowel Syndrome: Review on Empathy and Stigma2024 •
2012 •
2023 •
RePEc: Research Papers in Economics
Nonparametric Estimation of Multiproduct and Product-Specific Economies of Scale2004 •
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desain banner cafe,desain banner sidoarjo,desain banner produk.pptx2019 •