Nexus of Ruble Exchange Rate and Other Macroeconomic Factors in the Period of Recent Economic Instability
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F15%3A00084880" target="_blank" >RIV/00216224:14560/15:00084880 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Nexus of Ruble Exchange Rate and Other Macroeconomic Factors in the Period of Recent Economic Instability
Popis výsledku v původním jazyce
Primary cause of recent Russian economic downturn was the decline in global oil prices, which led to currency crisis in Russia. But more factors need to be taken into consideration, specifically commodity prices, Russian interest rates, development of Russian stock market and development of the USD exchange rate. Existence of direct relationship between these individual factors and ruble exchange rate is likely. However, it is not sufficient to investigate only correlational relationships between thesevariables ? causal relationships need to be identified as well. Correlation between variables may be obvious from data, tables or plots, but causalities between variables are not clear at first sight. Determination of these causalities was the aim of this paper. This task was fulfilled by usage of VAR approach, which is considered to be standard econometric tool to determine Granger causality in case of stationary time series.
Název v anglickém jazyce
Nexus of Ruble Exchange Rate and Other Macroeconomic Factors in the Period of Recent Economic Instability
Popis výsledku anglicky
Primary cause of recent Russian economic downturn was the decline in global oil prices, which led to currency crisis in Russia. But more factors need to be taken into consideration, specifically commodity prices, Russian interest rates, development of Russian stock market and development of the USD exchange rate. Existence of direct relationship between these individual factors and ruble exchange rate is likely. However, it is not sufficient to investigate only correlational relationships between thesevariables ? causal relationships need to be identified as well. Correlation between variables may be obvious from data, tables or plots, but causalities between variables are not clear at first sight. Determination of these causalities was the aim of this paper. This task was fulfilled by usage of VAR approach, which is considered to be standard econometric tool to determine Granger causality in case of stationary time series.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
European Financial Systems 2015. Proceedings of the 12th International Scientific Conference
ISBN
9788021079625
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
641-648
Název nakladatele
Masaryk University
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
1. 1. 2015
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000370679200084