Риски алгоритмической торговли и их регулирование
As a result of scaled expansion of algorithmic trading, its impact on markets significantly increased in recent years. At the same time the risks, connected with the specificity of its influence, also rose. In this paper authors analyze the most important risks of algorithmic trading and the main regulating arrangements towards them, and draw a conclusion about the perspectives of future development of algorithmic trading.
The article describes proposed by the authors methodology of analysis of the Russian mutual funds. The aim of this methodology is to find out how attractive they are to investors and if they are able to provide the possibility of obtaining higher returns with less risk than the market in general. The study determines what type of fund management (active or passive) is more optimal. It also explains the effectiveness of focusing on past performance of the funds for making future investments. In addition, the ability of the management companies to repeat their past results is analyzed. Moreover, it is shown if it makes sense to focus on management companies that achieved the best results in the past while making decisions about future investments. These and other results achieved in this article reveal the features of the Russian market of collective investments and allow investors to form more competent policy of mutual funds’ investments. The methodology proposed by the authors is universal. Its application for the analysis of the other markets of collective investments will allow revealing their features.
The present article is devoted to consideration of investment strategy in stock market. The questions connected with designing of such strategy are systemically considered in it. The emphasis is thus placed on adaptation of the general (managerial) theory of engineering to engineering of investment strategy. Engineering of investment strategy is considered in indissoluble interrelation with the analysis of their typology. The most actual types and directions of engineering of investment strategy are characterized in the conclusion of article.
Random matrix theory (RMT) is applied to investigate the cross-correlation matrix of a financial time series in four different stock markets: Russian, American, German, and Chinese. The deviations of distribution of eigenvalues of market correlation matrix from RMT global regime are investigated. Specific properties of each market are observed and discussed.
Thriving development of new market segment – algorithmic trading, resulted in the case that nowadays it exerts rather significant influence on the process of market’s price formation. It is noted not only in the leading world stock exchanges but also in the domestic market. Unfortunately, the development of this segment often causes the rise of negative consequences for markets, and Russian market is no exception. The following paper is dedicated to the revelation of negative effects of algorithmic trading’s spreading in the Russian stock market.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.