非线性资本市场扩散型金融系统的并购交易策略
Mergers and acquisitions transactions strategies in diffusion - type financial systems in highly volatile global capital markets with nonlinearities
摘要：
并购交易代表了企业转型交易中广泛的独特业务优化机会，这些交易通常具有高水平的总风险。在金融领域，通过考虑投资规模、购买价格、交易方向、交易类型，并利用现代可比交易分析和扩散型金融系统中的企业估值技术，可以成功地实施并购交易。我们开发了嵌入优化的近实时人工智能算法的MicroMA软件程序，以创建成功的良性并购战略，使用所涉及的公司的财务业绩特征，并估计并购交易完成成功的概率。我们认为，M和A交易数在一定时间段内的波动依赖性是准周期的。我们认为，有很多因素可以产生并购交易数量在时域上的准周期振荡，例如：股票市场泡沫效应。在Matlab环境下研究了M和A交易数准周期振荡的非线性特性，包括理想相关性、线性相关性、二次相关性和指数相关性。我们发现M和A交易时间序列中随机数之和的平均值代表了一个具有准周期系统振荡的时间序列，它可以用多项式很好地近似。我们认为，在并购交易实施过程中，企业吸收新获得的知识和创造新的创新知识基础的能力，是并购交易成功的关键先决条件，就像在瑞士一样。
英文摘要：
The M and A transactions represent a wide range of unique business optimization opportunities in the corporate transformation deals, which are usually characterized by the high level of total risk. The M and A transactions can be successfully implemented by taking to an account the size of investments, purchase price, direction of transaction, type of transaction, and using the modern comparable transactions analysis and the business valuation techniques in the diffusion type financial systems in the finances. We developed the MicroMA software program with the embedded optimized near-real-time artificial intelligence algorithm to create the winning virtuous M and A strategies, using the financial performance characteristics of the involved firms, and to estimate the probability of the M and A transaction completion success. We believe that the fluctuating dependence of M and A transactions number over the certain time period is quasi periodic. We think that there are many factors, which can generate the quasi periodic oscillations of the M and A transactions number in the time domain, for example: the stock market bubble effects. We performed the research of the nonlinearities in the M and A transactions number quasi-periodic oscillations in Matlab, including the ideal, linear, quadratic, and exponential dependences. We discovered that the average of a sum of random numbers in the M and A transactions time series represents a time series with the quasi periodic systematic oscillations, which can be finely approximated by the polynomial numbers. We think that, in the course of the M and A transaction implementation, the ability by the companies to absorb the newly acquired knowledge and to create the new innovative knowledge bases, is a key predeterminant of the M and A deal completion success as in Switzerland.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
