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On the Impact of News Tonality in International Media on the Russian Ruble Exchange Rate: Textual Analysis

Dmitriy Afanasyev, Elena Fedorova and Oleg Rogov
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Elena Fedorova: Financial University under the Government of the Russian Federation, Moscow, Russia
Oleg Rogov: Moscow Institute of Physics and Technology, Dolgoprudny, Russia

HSE Economic Journal, 2019, vol. 23, issue 2, 264-289

Abstract: Economic, technological, ecological changes significantly adjust structure of power. Based on a regression analysis on 215 projects, solar and wind energy is defined of density of the relationship between factors influencing the investment (construction time and power stations, the number of households, that received electricity, emission of carbon gas power plants location on land, offshore). As a result of the determined significance per kilowatt capacity input; reduction of gas emissions per kilowatt; decrease due to the investments of the emission of one ton of CO2. Based on a comparison of actual data refuted the prevailing stereotype and proved that the subsidies per ton of oil equivalent consumption of fossil energy sources exceed renew able energy grant. Leasing, being one of the most complex financial instruments, successfully established itself in many sectors of the economy. The article presents a new methodology for determining the socio-economic efficiency of leasing in renewable energy. Leasing renewable energy statistics is generated in Europe and the calculations saved lives, spending on health and the environment related to the replacement of fossil energy with renewable sources and emissions into the atmosphere harmful substances. Used in article database includes data on renewable energy projects; analytical and statistical reports BP Statistical Review of World Energy; Renewables Global Status Report (REN21); Bloomberg New Energy Finance – New Energy Outlook; World Leasing Yearbook; Leaseurope Annual Reports; International Energy Agency; the results of the authors' surveys of the leasing market in Russia.

Keywords: textual analysis; ruble exchange rate; news impact; news tonality (search for similar items in EconPapers)
JEL-codes: F31 G41 O24 (search for similar items in EconPapers)
Date: 2019
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