Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200013913> ?p ?o ?g. }
- W4200013913 endingPage "76" @default.
- W4200013913 startingPage "47" @default.
- W4200013913 abstract "This study seeks to identify the extent to which global oil and food price volatilities affected the interdependence of the Brazilian and Russian economies in the period from 1996 to 2021. The ARCH/GARCH framework was used to model the volatility of oil and food prices. The Structural Vector Autoregressive (SVAR) approach was used to ascertain the sensitivity of key economic indicators to oil and food shocks. The Impulse Response Function (IRF) was used to trace short-term effects over a period of 12 months. Subsequently, the multivariate dynamic conditional correlation DCC-GARCH model, created by Engle & Sheppard (2001), was used to model time-varying correlations of paired macroeconomic variables. This study contributes to the empirical literature in two fundamental ways. Firstly, it pairs the two largest oil and food producers in the BRICS bloc. Secondly, unlike some earlier studies, the applied methodology ensures the effectiveness of the results by using stationary time series data. The results show that Brazil and Russia have long-run spillover effects for all macroeconomic variables in response to both oil and food price shocks. Furthermore, money supply and exchange rate variables exhibited declining positive correlation coefficients during the global financial crisis of 2008–2009, but peaked in early 2020 due to the Covid-19 pandemic. As a corollary of the main findings, the researchers recommend that investors should diversify their portfolios beyond these two economies in order to minimize the risk of contagion during severe global crises." @default.
- W4200013913 created "2021-12-31" @default.
- W4200013913 creator A5018029451 @default.
- W4200013913 creator A5069606734 @default.
- W4200013913 date "2021-12-27" @default.
- W4200013913 modified "2023-10-16" @default.
- W4200013913 title "The impact of world oil and food price shocks on the interdependence of Brazil and Russia: SVAR-DCC-GARCH model" @default.
- W4200013913 cites W1492592930 @default.
- W4200013913 cites W1500470240 @default.
- W4200013913 cites W1505551547 @default.
- W4200013913 cites W1512020516 @default.
- W4200013913 cites W1534309228 @default.
- W4200013913 cites W1544585767 @default.
- W4200013913 cites W1545054898 @default.
- W4200013913 cites W1592714009 @default.
- W4200013913 cites W1727659491 @default.
- W4200013913 cites W1898264512 @default.
- W4200013913 cites W1909989710 @default.
- W4200013913 cites W1969266815 @default.
- W4200013913 cites W1969610664 @default.
- W4200013913 cites W1974294136 @default.
- W4200013913 cites W1979575715 @default.
- W4200013913 cites W1999996900 @default.
- W4200013913 cites W2011420151 @default.
- W4200013913 cites W2025753296 @default.
- W4200013913 cites W2027691664 @default.
- W4200013913 cites W2028964683 @default.
- W4200013913 cites W2032314740 @default.
- W4200013913 cites W2037272095 @default.
- W4200013913 cites W2044710040 @default.
- W4200013913 cites W2044711202 @default.
- W4200013913 cites W2045564168 @default.
- W4200013913 cites W2049912173 @default.
- W4200013913 cites W2053615472 @default.
- W4200013913 cites W2057493144 @default.
- W4200013913 cites W2060497350 @default.
- W4200013913 cites W2063593194 @default.
- W4200013913 cites W2064895224 @default.
- W4200013913 cites W2067219936 @default.
- W4200013913 cites W2074988857 @default.
- W4200013913 cites W2079280786 @default.
- W4200013913 cites W2090316129 @default.
- W4200013913 cites W2093728440 @default.
- W4200013913 cites W2093972087 @default.
- W4200013913 cites W2094858492 @default.
- W4200013913 cites W2097241502 @default.
- W4200013913 cites W2100000398 @default.
- W4200013913 cites W2107820934 @default.
- W4200013913 cites W2113337769 @default.
- W4200013913 cites W2117019869 @default.
- W4200013913 cites W2122549219 @default.
- W4200013913 cites W2124872518 @default.
- W4200013913 cites W2126812464 @default.
- W4200013913 cites W2141099198 @default.
- W4200013913 cites W2141949577 @default.
- W4200013913 cites W2142635246 @default.
- W4200013913 cites W2147281505 @default.
- W4200013913 cites W2147919775 @default.
- W4200013913 cites W2157869929 @default.
- W4200013913 cites W2158905545 @default.
- W4200013913 cites W2162397513 @default.
- W4200013913 cites W2163568221 @default.
- W4200013913 cites W2262090582 @default.
- W4200013913 cites W2335681629 @default.
- W4200013913 cites W2519923421 @default.
- W4200013913 cites W2896944627 @default.
- W4200013913 cites W2955342726 @default.
- W4200013913 cites W2971077481 @default.
- W4200013913 cites W3121495482 @default.
- W4200013913 cites W3122131252 @default.
- W4200013913 cites W3122202697 @default.
- W4200013913 cites W3122598397 @default.
- W4200013913 cites W3122617937 @default.
- W4200013913 cites W3124223476 @default.
- W4200013913 cites W3125266524 @default.
- W4200013913 cites W3153319816 @default.
- W4200013913 cites W3199481973 @default.
- W4200013913 cites W40692144 @default.
- W4200013913 cites W4247195115 @default.
- W4200013913 cites W4254364814 @default.
- W4200013913 cites W4255762423 @default.
- W4200013913 doi "https://doi.org/10.38050/2712-7508-2021-4-3" @default.
- W4200013913 hasPublicationYear "2021" @default.
- W4200013913 type Work @default.
- W4200013913 citedByCount "0" @default.
- W4200013913 crossrefType "journal-article" @default.
- W4200013913 hasAuthorship W4200013913A5018029451 @default.
- W4200013913 hasAuthorship W4200013913A5069606734 @default.
- W4200013913 hasBestOaLocation W42000139131 @default.
- W4200013913 hasConcept C106159729 @default.
- W4200013913 hasConcept C118518473 @default.
- W4200013913 hasConcept C127413603 @default.
- W4200013913 hasConcept C133029050 @default.
- W4200013913 hasConcept C139719470 @default.
- W4200013913 hasConcept C149782125 @default.
- W4200013913 hasConcept C162324750 @default.
- W4200013913 hasConcept C166957645 @default.
- W4200013913 hasConcept C205649164 @default.