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Результаты поиска 21 - 30 из 139
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Competitiveness features and factors of universities educational services market

Mushketova N.S. PhD of Economics Sciences, Associate Professor of the Department of Marketing and Advertising, Volgograd State University ( nmushketova@yandex.ru )

Fedorova S.V. Senior Lecturer of the Department of Marketing and Advertising, Volgograd State University ( Savelia11@mail.ru )

Journal: Economic Analysis: Theory and Practice, #5, 2014

In article the competition in the Russian market of educational services is investigated, not price methods of competitive fight, including unfair, the factors influencing development of the competition between higher education institutions come to light


Methodological aspects of evaluation function currency and stock markets in crisis

Fedorova E.A. Associate Professor of Financial Management All-Russia Financial and Economic Institute, Moscow ( ecolena@mail.ru )

Journal: Finance and Credit, #35, 2010

This article discusses the methodological apparatus of assessing the interdependence of currency and stock markets. To identify the relationship between markets used econometric modeling: causal analysis Grenzhera-cosalite, the construction of a vector autoregressive models. The proposed methodological apparatus can be used to assess the interdependence of the time series in the short and long term.


Influence of price of oil on stock markets of the countries of BRICS

Fedorova E.A. Doctor of Economics, Professor, the Department of Financial Management, the Financial University under the Government of the Russian Federation ( ecolena@mail.ru )

Journal: Finance and Credit, #46, 2013

In the article by means of the econometric analysis influence of price of oil and world oil production on behavior of stock markets of the countries of BRICS is considered. As a result of research it was revealed that price of oil influences share indexes of BRICS, and world oil production is almost neutral in relation to these markets.


Forecasting exchange rates using neural networks

Fedorova E.A. Doctor of Economics, Associate Professor of Department"Financial Management", the Financial University under the Government of the Russian Federation ( ecolena@mail.ru )

Linkova M.A. Graduate Student of Department"Financial Management", the Financial University under the Government of the Russian Federation ( m_linkova@mail.ru )

Journal: Financial Analytics: Science and Experience, #11, 2013

In the article a comparison of methods of forecasting the currency - the US dollar and the euro, based on neural networks and GARCH-methodology are presented. Prediction method of neural networks for the dollar is 89% predictive power, for euro - 91%.


Conditional ICAPM: assessment of global and local risks of the russian stock market and stock markets of the BRIK countries

Fedorova E.A. PhD in Economics, associate professor of the financial management department, All-Russian Distance Institute of Finance and Economics ( ecolena@mail.ru )

Journal: Financial Analytics: Science and Experience, #40, 2011

In the article financial integration and financial risks of stock market of the Russian Federation and the countries BRICK by means of classical models of the theory of investments (IСAPM) and econometric modeling (GARCH-BEKK-model) are estimated. The received results of estimation can be taken as a principle formations of the international investment strategy.


Planning methods of inflation central banks: foreign and domestic experience

Fedorova E.A. Financial University under the Government of the Russian Federation, Moscow, Russian Federation ( ecolena@mail.ru )

Mukhin A.S. Financial University under the Government of the Russian Federation, Moscow, Russian Federation ( mukhin.alexey@gmail.com )

Journal: Digest Finance, #1, 2014

 In this article the international experience of an inflation targeting considered. Taylor rule for the Russian financial market with econometric methods are estimated. The results can be applied to the monetary policy of the Central Bank of the Russian Federation


Specific characteristics of valuation the level steadiness high technology manufactures

Fedorova L.A. associate professor, Rayzan State University ( LAF2006@yandex.ru )

Journal: National Interests: Priorities and Security, #17, 2010

Now in Russia be absent the scorecard, characterize the level steadiness high technology manufactures in national economy of country, that considerably difficult real valuation our competitiveness and defences. The sake of development innovation economy of country it is necessary valuation scientifically - technology and productive potential, about at modernization and instruction personnel spend means smaller than building and forming a new specialist.


Application of the Taylor rule for Russia: an empirical analysis

Fedorova E.A. Doctor of Economics, Associate Professor, Department «Financial and Investment Management», the Financial University under the Government of the Russian Federation, Moscow ( ecolena@mail.ru )

Polikarpova A.A. Economist Category 2, the Bank of Russia ( diamondetenity@mail.ru )

Journal: Finance and Credit, #14, 2013

In the article the analysis of a monetary policy of the Russian Federation is carried out to the pre-crisis, crisis and post-crisis periods, based on Taylor's rule. The choice of the most suitable model for the Russian Federation from 9 alternative options of calculation of the rule of Taylor is revealed.


The technique of financial-stability assessment of the managing entities in housing and communal services

Kameneva E.A. Financial University under the Government of the Russian Federation, Moscow, Russian Federation ( kameneva.e@rambler.ru )

Fedorova E.A. Financial University under the Government of the Russian Federation, Moscow, Russian Federation ( ecolena@mail.ru )

Journal: Regional Economics: Theory and Practice, #12, 2014

The subject of the study is the development of the industry standards of financial stability to improve financial management of the managing organizations in the housing and communal services. The methodology of the present study envisages the economic-mathematical modeling, i.e. the analysis of variance, logit and probit analyses, CART algorithm.


Investment in precious metals: assessment of internal spillover-effects

Fedorova E.A. Doctor of Economics, Professor, the Department of Financial Management, the Financial University under the Government of the Russian Federation ( ecolena@mail.ru )

Lanets I.V. Applicant of the Department of Financial Management, the Financial University under the Government of the Russian Federation ( lanets-inna@yandex.ru )

Journal: Finance and Credit, #48, 2013

In the article internal spillover-effects between profitability and conditional volatility of palladium, gold, silver and platinum by means of GARCH modeling on the basis of daily data (1985-2013) are considered. The received results can be the basis for optimum investment strategy in the financial market.


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