基于动态模型的并购交易偿付能力变化的协同效应评价

A. Tikhomirov, O. Kalchenko, T. Bogacheva
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引用次数: 1

摘要

大多数并购交易的主要目标是实现协同效应。本研究提出了一种从协同效应角度预测并购交易后果的方法和模型。作者考虑了并购中获得协同效应的可能性,这源于参与并购交易的公司之间的流动性流动之间的负相关关系。这种影响可以用一个模型来确定和评估,这个模型将公司的现金流描述为一个维纳过程,这个维纳过程来自一个具有一定流动性缓冲L0的点。在随后的每个阶段,公司流动性缓冲的增量被视为受正态分布规律支配的独立随机值(正或负)。每个后续的流动性缓冲值都满足马尔可夫过程的条件。偿债能力是用动态指数TX来评估的——在此期间,公司失去流动性缓冲的概率不超过X%。对于单个公司,TX值取决于流动性流量的参数L0、平均值μ和标准差σ。并购交易完成后,这些流量被合并。基于该模型的仿真计算表明,合并后公司的TX指标不仅由并购参与者的L0、μ和σ值决定,还由现金流量的配对相关系数ρ决定。研究发现,随着相关系数ρ的减小,合并后公司在本文方法框架内的偿付能力增加,当相关系数ρ = -1时达到最大值。此外,通过减少流动之间的相关性,可以通过降低其初始值L0来显著节省流动资金量。另一个重要方面是对协同效应进行初步定量评估的可能性。该研究的结果仅通过基于假设模型的计算得到证实,尽管它们使用了实际俄罗斯公司的流动性流动参数。
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Assessment of the synergistic effect from solvency changes in M&A transactions based on a dynamic model
The main goal of most merger and acquisition (M&A) transactions is to achieve a synergistic effect. This study proposes a method and a model for predicting the consequences of merger and acquisition transactions from the perspective of achieving synergy. The authors consider the possibility of obtaining a synergistic effect in mergers/acquisitions, which originates from a negative correlation between the liquidity flows passing through companies participating in an M&A transaction. This effect can be determined and assessed using a model that describes a company's cash flows as a Wiener process coming out of a point with a certain liquidity cushion L0. Increments in the company's liquidity cushion at each subsequent stage are viewed as independent random values (positive or negative) governed by the normal law of distribution. Each subsequent liquidity cushion value meets the conditions of the Markov process. Solvency is assessed using a dynamic index TX -- the time during which the probability of losing the liquidity cushion for the company will not exceed X%. For each individual company, the TX value depends on the parameters of the liquidity flow -- L0, mean value μ, and standard deviation σ. Upon conclusion of M&A transactions, the flows are combined. Calculations performed using simulation modeling based on the proposed model show that the TX indicator of the combined company is determined not only by the values of L0, μ,and σ of the M&A participants, but also by the pair correlation coefficient of cash flows ρ. It is found that with the reduction of the correlation coefficient ρ the solvency of the combined company within the framework of the proposed approach increases, reaching its maximum with the correlation coefficient ρ = -1. In addition, by reducing correlation between the flows it is possible to achieve a significant saving of the amount of liquid funds through the reduction of its initial value L0. Another important aspect is the possibility of preliminary quantitative assessment of the synergistic effect. The findings of the study are confirmed only by calculations based on hypothetical models, although they use liquidity flow parameters of actual Russian companies.
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