Фондовый рынок. Тенденции развития фондового рынка в посткризисный период. Восьмая Межвузовская научная конференция, Москва, 19 апреля 2011 г.
The general issues of determining the liquidation value are discussed, such as the choice of market liquidity risk model and the choice of a price benchmark for estimating transaction costs. The layout for the portfolio management process is proposed which is grounded on a previously developed approach to determining the liquidation value of a portfolio. It allows not only defining and linking the rational liquidation strategies for different time horizons but also considering some microstructural effects, such as volatility momentum, corresponding to the intervals between trading sessions.
This paper studies fiscal policy in Russia 2004–2010 with the aid of structural budget balance and fiscal impulse measures. To check for robustness several methods estimating the potential GDP are employed. The research suggests a hypothesis that the output in Russia is subject to two types of shocks: persistent outward shocks and short-term internal shocks. In 2004–2010, fiscal policy coped with the internal shocks but could not smooth outward instability. Fiscal policy in Russia is procyclical; it does not stabilize the output.
In this paper we study convergence among Russian regions. We find that while there was no convergence in 1990s, the situation changed dramatically in 2000s. While interregional GDP per capita gaps still persist, the differentials in incomes and wages decreased substantially. We show that fiscal redistribution did not play a major role in convergence. We therefore try to understand the phenomenon of recent convergence using panel data on the interregional reallocation of capital and labor. We find that capital market in Russian regions is integrated in a sense that local investment does not depend on local savings. We also show that economic growth and financial development has substantially decreased the barriers to labor mobility. We find that in 1990s many poor Russian regions were in a poverty trap: potential workers wanted to leave those regions but could not afford to finance the move. In 2000s (especially in late 2000s), these barriers were no longer binding. Overall economic development allowed even poorest Russian regions to grow out of the poverty traps. This resulted in convergence in Russian labor market; the interregional gaps in incomes, wages and unemployment rates are now below those in Europe. The results imply that economic growth and development of financial and real estate markets eventually result in interregional convergence.
The article analyses the EU activity in assisting developing countries to develop energy sector throughperspective of the functional approach. The author identifies the EU approach by assessing EU compliance with the G8 commitments on assisting developing countries to develop energy sector. The assessment is made on the basis of the analysis of EU implementation of its commitments made in four major spheres of international engagement for energy development, such as ensuring developing countries’ access to modern energy sources, clean energy development, raw natural energy resources, sustainable management and environmental protection. In order to ensure comprehensive and unbiased assessment the author applies the methodology of global governance delivery function approach and compares EU compliance with compliance of other traditional donors such as USA and emerging donors such as Russia. In conclusion some recommendations on how to raise effectiveness in assisting developing countries to develop energy sector are made for the Russian Federation.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.