Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 2690-2695.
Abstract
Merger and Acquisition (M&A) has been a critical practice about corporate restructuring. Previous studies are mostly devoted to evaluating the suitability of M&A between a pair of investor and target company, or a target company for its propensity of being acquired. This paper focuses on the dual problem of predicting an investor's prospective M&A based on its activities and firmographics. We propose to use a mutually-exciting point process with a regression prior to quantify the investor's M&A behavior. Our model is motivated by the so-called contagious 'wave-like' M&A phenomenon, which has been well-recognized by the economics and management communities. A tailored model learning algorithm is devised that incorporates both static profile covariates and past M&A activities. Results on CrunchBase suggest the superiority of our model. The collected dataset and code will be released together with the paper.
@inproceedings{ijcai2016p382,
title = {Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior},
author = {Yan, Junchi and Xiao, Shuai and Li, Changsheng and Jin, Bo and Wang, Xiangfeng and Ke, Bin and Yang, Xiaokang and Zha, Hongyuan},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {2690--2695},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/382},
}
TY - CPAPER TI - Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior AU - Yan, Junchi AU - Xiao, Shuai AU - Li, Changsheng AU - Jin, Bo AU - Wang, Xiangfeng AU - Ke, Bin AU - Yang, Xiaokang AU - Zha, Hongyuan T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 2690 EP - 2695 UR - https://ijcai.org/proceedings/2016/382 ER -Copied
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