Эффективность парного статистического арбитража на российском фондовом рынке
In this article the market-neutral strategy of paired statistical arbitrage is considered. This trading strategy is relatively new for the Russian stock market, but is widespread among western investors. The essence of paired statistical arbitration is revealed and the effectiveness of this method is estimated on the basis of the model developed by the authors.
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.
The article is devoted to a new approach for the Russian market, aimed at predicting the prices of financial assets and making market operations - a statistical arbitrage. Despite the fact that the western markets, investors have long been actively using the methods of statistical arbitrage, in Russia they have not yet received adequate distribution. The authors reveal the essence of this approach and demonstrated its effectiveness in the Russian stock market.
This article deals with the influence of different factors on the RTSI in the period from March 2007 to August 2009. The period is further subdivided into three subperiods − pre-crisis, high oil prices and time of crisis ones. The stationarity testing, the Granger causality analysis, the analysis of cointegration, the impulse response functions and the variance decomposition let us get the information on the degree of oil price impact, the S&P-500 and FTSE-100 stock indices one and the «investors' fear gauge» index VIX influence on the RTSI. The time series cointegration analysis demonstrates the presence of the cointegration relations. The results of the research can be applied in making scenario forecasts based on the middle-run and long-run oil prices.