Over the last decades, much attention has been drawn to the question of productivity variation across countries. The differences in cross-country productivity could be explained by both foreign and domestic innovation. In order to estimate the influence of the former, the international transfer...

Modern Portfolio Theory assumes that decisions are made by individual agents. In reality most investors are involved in group decision-making. In this research we propose to realize group decision-making process by application of Ensemble Learning algorithm, in particular Random Forest....

We focus on assessing RES- and energy-efficiency promoting policy mixes for Russia from multicriteria perspective with emphasis on GHG emission reduction. We start from two surveys: the first one studies country’s energy saving and RES potential to determine possible range of outcomes for...

We study how innovations affect increase of regional total factor productivity (TFP) as a result of productivity spillovers from foreign direct investment (FDI), and confirm the presence of phenomenon in Russian data. TFP is modeled using data envelopment analysis (DEA) with the human capital,...

The paper develops an algorithm for making long-term (up to three months ahead) predictions of volatility reversals based on long memory properties of financial time series. The approach for computing fractal dimension using sequence of the minimal covers with decreasing scale is used to...

The paper develops volatility forecasting model for exchange rate RUR/USD. To forecast volatility we decompose it to components, characterizing fractal structure of financial time series. Using regression analysis we confirm quasi-cyclical time structure for one of the fractal parameter. We...

We focus on assessing RES- and energy-efficiency promoting policy mixes for Russia from multicriteria perspective with emphasis on GHG emission reduction. We start from two surveys: the first one studies country's energy saving and RES potential to determine possible range of outcomes for policy...

Modern Portfolio Theory assumes that decisions are made by individual agents. In reality most investors are involved in group decision-making. In this research we propose to realize group decision-making process by application of Ensemble Learning algorithm, in particular Random Forest....

We study how innovations affect increase of regional total factor productivity (TFP) as a result of productivity spillovers from foreign direct investment (FDI), and confirm the presence of phenomenon in Russian data. TFP is modeled using data envelopment analysis (DEA) with the human capital,...

The paper develops an algorithm for making long-term (up to three months ahead) predictions of volatility reversals based on long memory properties of financial time series. The approach for computing fractal dimension using sequence of the minimal covers with decreasing scale is used to...