| Abstract [eng] |
This MBA paper work is the question of analytical information available on the stock markets. Stock markets in today's world, no one investor to invest in order to successfully track and analytical information that appears on the market. Properly evaluated and used, can be a great help for successful investing. The main object of this work is qualitatively characterized by subjectivism and analytical information analysis. The main point of this work is to offer information and investigate a model system to analyze and evaluate the analytical information available on the stock market. The first part is the examination of all the literature related to analytical information influences stock markets, its analysis capabilities. The second part of the system model, which analyze the implications of the market, and properly evaluate it. The essence of the proposed model is an overall assessment of the analytical information available on the U.S. stock market. The model consists of two phases: Guru Recommendations and justification of major U.S. economic indicators influence the stock market. Later, on the basis of the proposed model system was investigated. Virtual environment experiment was conducted, during which the portfolio includes four U.S. companies' shares, recommended by the gurus. The obtained experimental results show that the guru's repeated recommendations of the portfolio return after half-day 15.05.2011 was +13.42%. S & P500 index change +2.97% experimentation time. The average 40-day return of 12.66%. The obtained results confirmed the gurus ekpserimento rekomendacijas.Tyrimo the basis of correlation and regression analysis found that most of the S & P500 index is associated with the U.S. unemployment rate obtained from the correlation koficientas was the highest compared to U.S. inflation and GDP figures. Both inflation and GDP is also active in the U.S. stock market, but the strength of their relationship with the S & P500 index is weaker, because their correlation coefficients are lower. |
