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Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior

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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.

Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, and Hongyuan Zha. 2016. Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 2690–2695. https://ijcai.org/proceedings/2016/382
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