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The application of feed forward neural networks to merger arbitrage : a return-based analysis
Braun, Declan; Han, Yue; Wang, Heng - In: Finance research letters 58 (2023) 2, pp. 1-6
Persistent link: https://www.econbiz.de/10014583408
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On modeling acquirer delisting post-merger using machine learning techniques
Thompson, Ephraim Kwashie; Kim, Changki; Kim, So-Yeun - In: Journal of management analytics 11 (2024) 2, pp. 247-275
Persistent link: https://www.econbiz.de/10015048061
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Predicting acquisitions in the Indian financial services sector
Vinod, Venkateswaran; Sudarsanam S. K. - In: Finance India : the quarterly journal of Indian … 37 (2023) 3, pp. 717-736
Persistent link: https://www.econbiz.de/10014583069
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Grenzüberschreitende Mergers & Acquisitions : Erfolg und Erfolgsfaktoren internationaler Unternehmenszusammenschlüsse in Japan
Thomas, Ingo - 2008 - 1. Aufl.
Persistent link: https://www.econbiz.de/10003707227
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How do advisors influence mergers and acquisitions? : an analysis of acquisitions in Japan
Koo, Ja Seung - In: Journal of Asian finance, economics and business : JAFEB 7 (2020) 7, pp. 123-129
Persistent link: https://www.econbiz.de/10012668036
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The Views of Japanese Employees on Cross-Border M&As
Thiele, Kai Oliver - 2018
, but also offer invaluable opportunities for all parties. Since Japan lags expectations regarding the amount of cross …. However, how the employees’ view on a merger can be successfully managed to leverage the M&As’ success rate remains yet …-border M&As’ success rate. Contents Foundations of mergers and acquisitions Mergers and acquisitions in Japan Employee …
Persistent link: https://www.econbiz.de/10012395867
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Mergers and acquisitions in Asia : a global perspective
Tang, Roger Y. W. - 2006
Persistent link: https://www.econbiz.de/10013439758
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Rivalen als Partner : strategische Allianzen und Akquisitionen im globalen Markt
Bleeke, Joel (ed.); Ernst, David (contributor) - 1994
Persistent link: https://www.econbiz.de/10000423105
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The views of Japanese employees on cross-border M&As
Thiele, Kai Oliver - 2018
Persistent link: https://www.econbiz.de/10011977590