NECESSITY AND DIRECTIONS OF STATE ADJUSTMENT AND PREVENTION OF MANIPULATIVE TRANSACTIONS ON THE STOCK MARKET
The stock-market is one of the most important segments of any national economy. At the same time, the operation of the stock-market is always closely connected with risk, one of the manifestations of which is the involvement of transaction participants in manipulative practices. Unfortunately, only a small amount of modern research is devoted to this problem. The concept “manipulative trade” does not reflect modern challenges and needs constant adaptation. The article suggests concentrating on detailing and countering a specific list of manipulative practices, based on the damage they cause. The subject of the study are manipulative transactions in the stock market and the methods for identifying manipulative transactions on the Russian stock market. The purpose of the study is to develop specific proposals and select statistical methods which would be relevant to the Russian stock market, to improve the existing system of state control, aimed on identifying various types and ways of manipulative trading in the stock market. Within the framework of the study such methods were used as: abstract-logical method, factor analysis, analogy method, k nearest-neighbor method, system approach, comparative assessment method, economic-statistical method, extrapolation method. The authors present a classification of the methods of manipulation, the properties of which have not been yet touched upon in the works of Russian economists. The also study examined a classification of the statistical methods for identifying manipulative trade. On the basis of foreign research, it has been suggested that the most effective of them can be used in the domestic economy. The practical significance of the research consists in creating and testing a statistical machine algorithm, based on the k nearest neighbors method, in the actual conditions of the Russian stock market, which can detect non-standard trading operations. The article presents statistical information which reflects the dynamics of the individual properties of the Russian stock market. The authors propose formulas for calculating reduction in labor costs thanks to primary processing of information through the introduction of the k nearest neighbors method, as well as legislative and practical proposals for improving the efficiency of the national system of detecting manipulative trading on the stock market. The application of special technical approaches during the research reflects the originality of the methodology used by the authors.