Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis

This paper delves into the intricate dynamics of the likelihood of merger and acquisition (M&A) completion in China and scrutinizes the influence of global and domestic economic conditions through survival analysis. By utilizing data from 3227 domestic M&A transactions from 1998 to 2024, thi...

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Main Author: Dan Xu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-11-01
Series:Journal of Economy and Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2949948824000635
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author Dan Xu
author_facet Dan Xu
author_sort Dan Xu
collection DOAJ
description This paper delves into the intricate dynamics of the likelihood of merger and acquisition (M&A) completion in China and scrutinizes the influence of global and domestic economic conditions through survival analysis. By utilizing data from 3227 domestic M&A transactions from 1998 to 2024, this study employs quantitative survival analysis and the Cox proportional hazards model to evaluate how economic indicators shape M&A success rates. Notably, increases in the industrial production index (IPI) and producer price index (PPI) are positively associated with an increased likelihood of completion, reflecting how economic expansion fosters financial stability, strengthens firm capacity, and facilitates deal finalization. In contrast, rising global policy uncertainty, as captured by the global economic policy uncertainty (EPU) index, significantly reduces the likelihood of M&A completion by amplifying valuation ambiguity, negotiation frictions, and regulatory risks. Unexpectedly, the global economic growth—represented by the global real economic activity (GREA) index—correlates with a decreased likelihood of success in domestic M&A, potentially due to a shift in focus toward international opportunities and rising costs of domestic operations. Furthermore, the KaplanMeier estimator of the hazard function reveals a nonlinear curve depicting the likelihood of deal completion over time, emphasizing fluctuations in the probability of success. Our results indicate that the time elapsed from the announcement of a deal can provide crucial information on the ex-ante probability of its success or failure, highlighting the importance of considering the temporal aspect of the deal.
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spelling doaj-art-a5926f6813d146a59ad3d0cface6b9342025-08-20T02:07:20ZengKeAi Communications Co., Ltd.Journal of Economy and Technology2949-94882025-11-01320222210.1016/j.ject.2024.12.002Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysisDan Xu0Copenhagen Business School, Solbjerg Pl. 3, Frederiksberg, Copenhagen 2000, DenmarkThis paper delves into the intricate dynamics of the likelihood of merger and acquisition (M&A) completion in China and scrutinizes the influence of global and domestic economic conditions through survival analysis. By utilizing data from 3227 domestic M&A transactions from 1998 to 2024, this study employs quantitative survival analysis and the Cox proportional hazards model to evaluate how economic indicators shape M&A success rates. Notably, increases in the industrial production index (IPI) and producer price index (PPI) are positively associated with an increased likelihood of completion, reflecting how economic expansion fosters financial stability, strengthens firm capacity, and facilitates deal finalization. In contrast, rising global policy uncertainty, as captured by the global economic policy uncertainty (EPU) index, significantly reduces the likelihood of M&A completion by amplifying valuation ambiguity, negotiation frictions, and regulatory risks. Unexpectedly, the global economic growth—represented by the global real economic activity (GREA) index—correlates with a decreased likelihood of success in domestic M&A, potentially due to a shift in focus toward international opportunities and rising costs of domestic operations. Furthermore, the KaplanMeier estimator of the hazard function reveals a nonlinear curve depicting the likelihood of deal completion over time, emphasizing fluctuations in the probability of success. Our results indicate that the time elapsed from the announcement of a deal can provide crucial information on the ex-ante probability of its success or failure, highlighting the importance of considering the temporal aspect of the deal.http://www.sciencedirect.com/science/article/pii/S2949948824000635Mergers and Acquisitions (M&A)Macroeconomic VolatilitySurvival AnalysisKaplanMeier estimatorCox proportional hazard model
spellingShingle Dan Xu
Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis
Journal of Economy and Technology
Mergers and Acquisitions (M&A)
Macroeconomic Volatility
Survival Analysis
KaplanMeier estimator
Cox proportional hazard model
title Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis
title_full Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis
title_fullStr Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis
title_full_unstemmed Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis
title_short Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis
title_sort quantitative modeling of m a success probability integrating macroeconomic volatility and temporal factors through survival analysis
topic Mergers and Acquisitions (M&A)
Macroeconomic Volatility
Survival Analysis
KaplanMeier estimator
Cox proportional hazard model
url http://www.sciencedirect.com/science/article/pii/S2949948824000635
work_keys_str_mv AT danxu quantitativemodelingofmasuccessprobabilityintegratingmacroeconomicvolatilityandtemporalfactorsthroughsurvivalanalysis