Using estimated CAPM-models portfolio risks of Russian mutual funds are analyzed. Two questions are considered: how did mutual funds portfolio risks change during the crisis and postcrisis periods; did portfolio managers successfully fit the portfolio structure depending on market conditions?...

Non-parametric estimates of technical efficiency of Russian banks are considered for each quarter in the period of 2002–2006. Two types of DEA estimates CCR (Charnes, Cooper, Rhodes, 1978) and BCC (Banker, Charnes, Cooper, 1984), are compared with parametric SFA estimates. Semiparametric...

The article summarizes the key results of researches in the field of early warning systems for financial crises, conducted by the Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF) since 2005. The proposed early warning system consists of three major blocks: the leading...

Russian Abstract: В условиях неопределенности могут быть реализованы различные варианты денежных потоков и, соответственно, получены разные оценки эффективности, что...

Russian Abstract: Обратная задача отвечает на вопрос «как сделать так, чтобы?..», и целью решения подобных задач является формирование оптимальных управленческих...

In this paper we compare two types of models for forecasting Russia’s GDP under the structural breaks. We consider models that allow breaks in a deterministic trend, in which the dates of structural breaks set exogenously, and more flexible class of models – with a stochastic trend. We show...

Following methodological approach proposed by Edwards, the paper estimates empirically Russia's equilibrium real exchange rate (ERER) for the period 1995–2003. ERER is defined as the relative price of non-tradables to tradables consistent with the simultaneous achievement of internal and...

In this work we build a Bayesian vector autoregression model to estimate the impact of global economic activity shocks, supply shocks in the global oil market, as well as speculative oil shocks on key macroeconomic variables of the Russian economy: GDP, household consumption, fixed capital...

In this work we build a Bayesian vector autoregression model to estimate the impact of global economic activity shocks, supply shocks in the global oil market, as well as speculative oil shocks on key macroeconomic variables of the Russian economy: GDP, household consumption, fixed capital...

In this work we build a Bayesian vector autoregression model to estimate the impact of global economic activity shocks, supply shocks in the global oil market, as well as speculative oil shocks on key macroeconomic variables of the Russian economy: GDP, household consumption, fixed capital...