股票资产操纵行为研究——以美国纳斯达克证券交易所高科技公司股票为例

Evgenii V. Dorokhov
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摘要

本文以美国纳斯达克交易所的高科技公司股票为例,研究了股票资产价格操纵的过程。提出了股票资产操纵的概念,并给出了股票资产操纵的迹象。这项工作的主要目的是确定从公司股票在证券交易所(IPO)首次公开发行到现在的Facebook,纳斯达克和谷歌公司股价操纵的迹象。研究方法包括数据分析的统计方法:比较分析、相关分析和回归分析。基于Facebook、Google和Nasdaq的年度报价和财报,对投资乘数的年度值进行比较和相关性分析。本文特别关注这些公司在纳斯达克交易所首次公开募股后的初始时间阶段的数据的比较和统计分析。分析结果显示,在这一指标上,它们之间存在相当强的相关性。与此同时,与谷歌和纳斯达克的模拟公司以及美国标准普尔500指数上市公司相比,Facebook股票在交易所首次公开发行后的头几年就被严重高估了。这项研究的科学新颖性在于,所提出的方法可以识别公司股价操纵的迹象——类似于任何流动性充足的股票市场。本文的主题是股票市场参与者、股票分析师、潜在投资者和公司购买者以及处理其流程可靠性和安全性的股票市场监管机构感兴趣的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of Manipulation of Stock Assets on the Example of Shares of American High-Tech Companies of the Nasdaq Stock Exchange
The subject of the study is the processes of manipulation of stock asset prices on the example of shares of American high-tech companies of the NASDAQ exchange. The concept of manipulation of stock assets is formulated and the signs of manipulation of them are presented. The main purpose of the work is to identify signs of manipulation of the stock prices of Facebook, Nasdaq and Google companies from the moment of the initial public offering of the company's shares on the stock exchange (IPO) to the present. The methodology of the study includes statistical methods of data analysis: comparative analysis, correlation and regression analysis. Based on the annual quotes and financial reports of Facebook, Google and Nasdaq, a comparative and correlation analysis of the annual values of investment multipliers is carried out. Particular attention is paid to the comparative and statistical analysis of the data of these companies at the initial time stage after their IPO on the NASDAQ exchange. The result of the analysis showed a fairly strong correlation between them on this indicator. At the same time, a significant overvaluation of Facebook shares was established in the first years after its initial public offering on the stock exchange, in relation to the analog companies of Google and Nasdaq, as well as to the companies listed on the S&P500 stock market of the USA. The scientific novelty of the study lies in the fact that the presented methodology allows identifying signs of manipulation with the share prices of companies-analogues of any sufficiently liquid stock market. The topic of the article is of interest to stock market participants, stock analysts, potential investors and purchasers of companies, as well as to stock market regulators dealing with the reliability and security of its processes.
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