Andrey V. Koren, Tatiana E. Danilovskikh, Tatiana V. Ershova
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Development of Modern Approaches to Exchange-Traded Financial Asset Evaluation
Estimation of exchange-traded financial asset fair value is one of the most important tasks in modern financial science. However, the importance of methods for prediction of future prices is constantly changing. The study provides a comparative analysis of fundamental and technical analysis methods, reveals their advantages and disadvantages. Such characteristics of fundamental analysis as profit, income, profitability and the level of debt burden are considered in detail, the degree of their influence on the price of securities is analyzed. After the study, conclusions were drawn about the increasingly narrow use of technical analysis during short-term and investment problem solution. A prediction is given for a further decrease of fundamental analysis importance as the main method of assessment. To obtain these conclusions, we used statistical data reflecting the dynamics of exchange-traded assets when companies entered IPOs. The data obtained indicate a clear correlation between the innovation component of a business, market share and its price. At the same time, the company profit has finally ceased to be the main characteristic of the business during its assessment. Additionally, they studied the relationship between the fairness of exchange-traded asset evaluation and quantitative easing (QE) programs. Conclusions are made about the need to increase the forecast prices in the case of a soft monetary policy application.
期刊介绍:
The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics: Official Statistics Computational Statistics Simulation Studies Mathematical Statistics Survey Sampling Statistics Education Time Series Analysis Biostatistics Nonparametric Methods Experimental Designs and Analysis Econometric Theory and Applications Other Applications