Abstract
In order to improve the convergence and accuracy of M&A risk assessment method, an M&A risk assessment method based on adaptive immune genetic algorithm is proposed. The risk of M&A is divided into M&A preparation stage, M&A implementation stage, and M&A integration stage. The event tree analysis method is used to clarify the inducement of M&A risk events. We optimize the traditional genetic algorithm, design adaptive immune genetic algorithm to ensure the convergence of risk assessment algorithm, select the risk assessment indicators of enterprise M&A, determine the weight of the assessment indicators, and construct the quantitative model of enterprise M&A risk assessment. The experimental results show that the proposed risk assessment method takes less time, has higher accuracy, and has less probability of enterprise data imbalance.
Highlights
Synergetic M&A of industrial chain means that the enterprises obtain the control right of the target enterprises through the property right transaction with the upstream and downstream enterprises of industrial chain under the function of market mechanism and obtain the scale benefit
Risk event 1 including the obstacles brought by the uncertainty of political level, policy level, and legal level to the implementation of enterprise M&A integration; social and humanistic factors, reflected in the differences of social customs, ideology, and cultural origin, which are the inducement of the risk of M&A integration; macroeconomic environment and market factors, where the risk incentives mainly come from two aspects: macroeconomic situation and market environment
Based on the quantitative model of M&A risk evaluation, the optimal solution of parameters is calculated by adaptive immune genetic algorithm, and the risk evaluation interval is worked out. e evaluation of M&A risk based on adaptive immune genetic algorithm is realized [30]
Summary
Synergetic M&A of industrial chain means that the enterprises obtain the control right of the target enterprises through the property right transaction with the upstream and downstream enterprises of industrial chain under the function of market mechanism and obtain the scale benefit. E motivation of M&A from the perspective of capital has changed fundamentally, that is, from the original goal of improving the efficiency of enterprises to the goal of serving the overall strategy of enterprises through asset M&A [3] At present, both the international market and the domestic market are extremely competitive; to ensure that enterprises stand out in the fierce market competition, they need to have a strong market size and core competitiveness. Both the international market and the domestic market are extremely competitive; to ensure that enterprises stand out in the fierce market competition, they need to have a strong market size and core competitiveness Both vertical and horizontal M&A modes can enlarge the scale and market share of enterprises, and the merger and acquisition of upstream and downstream enterprises in the industry chain can realize the deep integration of capital, technology, talents, information, and other resources and enhance the core market competitiveness and organizational decisionmaking ability of enterprises. E above M&A risk assessment methods have the problem of poor convergence, resulting in unsatisfactory risk assessment accuracy and low efficiency. erefore, an enterprise M&A risk assessment method based on adaptive immune genetic algorithm is proposed
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