Праведнов С. В., Шаш Н. Н. Финансовый вестник: Финансы, налоги, страхование, бухгалтерский учет. 2013. № 5. С. 27-34.
The article presents the key aspects of successful investment process modeling for investment projects. A successful investment process means a series of investment decisions on timing, risk and investment objects and activities for their implementation, aimed to generating positive indicator "alpha", which is the maximum possible total return of specific investment project. In practice, there is no unique investment process, applicable to any investment decision, however, there are basic requirements that must be met to ensure a successful outcome of investment process. These requirements include availability of investment opportunities, forecasting skills and mechanism for investment project implementation.
Added: Dec 3, 2013
Соколова А. Г. М.: Издательство ИНЭП, 2010.
Added: Jan 25, 2013
Бабан С. М. М.: МИИТ, 2009.
Added: Jan 30, 2013
Ч. 1. Волгоград: Волгоградское научное издательство, 2010.
Added: Jan 18, 2013
Дуненко Т.,
Таратухин В. В. Автоматизация, телемеханизация и связь в нефтяной промышленности. 2010. № 10.
С. 7-13.
At present many industries reveal tendency for setting up of vertically integrated companies (VIC) the structure of which unites all technological processes. This tendency proved its efficiency in oil industry where coordination of all successive stages of technological process, namely, oil prospecting and production -oil transportation - oil processing - oil chemistry - oil products and oil chemicals marketing, is necessary. The article considers specific features of introduction of "personnel management" module at enterprises of oil and gas industry.
vertically integrated companies; personnel management
Added: Oct 4, 2012
Вып. 1. М.: Издательский дом ГУ-ВШЭ, 2009.
Added: Oct 27, 2012
Aistov A. Education. EDU. Высшая школа экономики, 2012. No. 5.
This research focuses on estimating the signalling role of education on the Russian labour market. Two well-known screening hypotheses are initially considered. According to first of these, education is an ideal filter of persons with low productivity: education does not increase the productivity of a person, but it does give him the possibility to signal about his innate productivity via an educational certicate. The second of these hypotheses admits that productivity actually does increase during the period of study, but nevertheless the main objective of getting an education is to acquire a signal about one's productivity. Information theory suggests that employees use education signals during the hiring processes whereby employers screen potential employees. Employers and other categories of self-employed workers are usually not screened by the labour market via their educational attainments. Comparison of the returns to education of employees vs. self-employed workers could show the difference between the returns to signals and the returns to human capital. Yet another way to understand the signals is to consider the time dynamics of the returns to education for employees staying in the same firm. This helps us to answer the question about whether the signals are valuable only during the hiring process, or whether they remain valuable during the whole experience with the firm. This research is based on the Mincerian-type earnings functions, estimated on RLMS-HSE and NOBUS data. On the basis of the available information, we cannot say that the returns to signals and human capital differ significantly in Russia. Nevertheless we can say that, for the majority of men, the return to educational signals decreases with time spent in the same firm, while we observe the opposite for women.
Added: May 15, 2012
Зайцев Ю. К., Перфильева О. В., Рахмангулов М. Р. и др. М.: Издательский дом НИУ ВШЭ, 2011.
Added: Feb 14, 2013
The advantage of Trends in International Mathematics and Science Study is that not only does it perform a direct cognitive assessment of students concerning these students' teachers, but also their education, work experience and the instructional strategies used in their classes. In order to estimate teachers’ characteristics effects on a student’s achievements and overcome the limits of the TIMSS' correlational design, we have employed the first-difference method. Teachers’ characteristics effects have also been measured with the usual regression method. The effects discovered varied from one subject field to another, and there has been a difference between the results gained by using the firstdifference method and OLS regression analysis model. The first-difference method has revealed a negative effect of reproductive tasks and group work in math class, whereas comprehension tasks and tasks for developing meta-cognitive skills have shown a positive effect. On the contrary, reproductive tasks for science classes have had a positive effect while comprehension tasks and tasks for developing meta-cognitive skills have had either none or negative effects. Apart from this, a teacher's experience has had a significant effect on natural science subjects as opposed to mathematics. The possible interpretations of these results are discussed in this paper
Added: May 28, 2012
Betschinger M. Исследования по экономике и финансам. WP9. Высшая школа экономики, 2012. No. 2,4.
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Added: May 14, 2012
Федоренко А. И., Зеленов Н. Н. Логистика сегодня. 2010. № 5. С. 296-311.
портовый менеджмент, показатели деятельности, анализ эффективности, система учета, распределение издержек, методы анализа деятельности портовой системы
Added: Oct 17, 2012
