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Название Analysis of securities of non-ferrous metallurgy companies in the conditions of information access limitation
DOI 10.17580/tsm.2015.07.03
Автор Sokolova G. V.
Информация об авторе

National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute), Moscow, Russia:

G. V. Sokolova, Assistant Professor of Financial Management Chair, e-mail: gvs06@yandex.ru

Реферат

This article shows the possibilities of the basic analysis of investment attractiveness of public accessible securities of non-ferrous metallurgy companies. A brief review of investment activity on stock market points the prospects of presence of non-ferrous metallurgy companies and possibilities of expansion of finance instrument spectrum, which defines the urgency of adaptation of general analysis principles to the branch financial assets. This article solves the issue of preference pattern formation in the choice of assets and guiding lines of decision-making on speculative and skew security market. Comparative assessment of yield and risk indices, according to the assets of Russian stock market companies, was carried out on the basis of statistic methods. Standard deviation indices are shown together with variation constant and -coefficient. Use of price formation model on fixed assets allowed to calculate the yield, reflecting the systemic risks of non-ferrous metallurgy companies. A range of values by each security is shown, reflecting the guiding lines of investor, which prefers the adequate combination of risk and yield. Analysis of calculated indices allowed to make the following conclusions:
– it is possible to form the safe investment portfolio and its optimization within the securities, owned by one-branch emitters;
– in the conditions of limitation of information access, inexperienced investor can create a preference pattern in the choice of assets, define a degree of belief to published data and set the guiding lines of decision-making on security market.

Ключевые слова Security market, standard deviation, variation constant, β-coefficient, asset yield, system risks, investment decisions
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