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...

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...

World oil prices in 2020 have undergone tangible shocks, which are associated primarily with two events - the collapse of the OPEC+ deal and the coronavirus pandemic. Based on the BVAR model of the oil market, the quantitative role of these events in the dynamics of oil prices was assessed, and...

Russian Abstract: Мировые цены на нефть в 2020 г. претерпели ощутимые потрясения, которые связывают прежде всего с двумя событиями – срывом сделки ОПЕК+ и пандемией...

Accidents forecast of various nature with sufficient economic damage, maximal loss enhancement, elimination of their consequences is a national wide problem It is an important concern of authorities and all levels management In order to solve this problem we need a forecast system for...