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N. M. Leepsa
Researcher at Arizona State University
Publications - 22
Citations - 346
N. M. Leepsa is an academic researcher from Arizona State University. The author has contributed to research in topics: Mergers and acquisitions & Financial services. The author has an hindex of 6, co-authored 22 publications receiving 213 citations. Previous affiliations of N. M. Leepsa include Indian Institute of Technology Kharagpur & National Institute of Technology, Rourkela.
Papers
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Agency theory: Review of Theory and Evidence on Problems and Perspectives:
Brahmadev Panda,N. M. Leepsa +1 more
TL;DR: In this paper, the main ideas, perspectives, problems and issues related to the agency theory through a literature survey is explored. But, the authors have focused on the main issues and issues of the agency problem.
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Wealth creation through acquisitions
N. M. Leepsa,Chandra S. Mishra +1 more
TL;DR: In this article, an attempt to examine post M&A performance in manufacturing companies in India has been made, where the authors considered the economic value added (EVA), a registered trademark of Stern Stewart & Co and a measure of economic profit, in evaluating the industry adjusted returns for the companies that have gone for acquisitions.
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Does institutional ownership engagement matter for greater financial performance?: Evidence from a developing market
Brahmadev Panda,N. M. Leepsa +1 more
TL;DR: In this paper, the impact of the ownership engagement by pressure-resistant, pressure-sensitive and foreign institutions on the corporate financial performance in a developing market like India post US financial crisis was assessed.
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Payment Methods in Mergers and Acquisitions: A Theoretical Framework
B. P. Bijay Sankar,N. M. Leepsa +1 more
TL;DR: In this article, a review of the prior literature on payment methods in Mergers and Acquisitions (M&As) and summarizing its effects on the performance of companies involved in M&As is presented.
Posted Content
Predicting Success of Mergers and Acquisitions in Manufacturing Sector in India: A Logistic Analysis
N. M. Leepsa,C. S. Mishra +1 more
TL;DR: In this paper, it was estimated that the Z score below 0.02 would indicate the company was probably headed for failure, while companies with scores above 0.2 were likely to be successful.