scholarly journals Commodity Price Uncertainty and Output Growth: Svar-garch-m Model

2021 ◽  
pp. 409-422
Author(s):  
Mehmet Terzioğlu ◽  
Kübra Karadağ ◽  
Nurcan Metin ◽  
Süreyya Dal
1984 ◽  
Vol 11 (3) ◽  
pp. 285-301
Author(s):  
KATHRYN GORDON ◽  
SYLVIE LAGRANGE ◽  
CHRISTOPHE RIBOUD

2014 ◽  
Vol 9 (1) ◽  
pp. 34-50 ◽  
Author(s):  
Serhan Cevik ◽  
Tahsin Saadi Sedik

AbstractThis paper explores empirically the causes of extreme fluctuations in commodity prices from January 1990 to June 2010 and seeks to identify the relative contribution of advanced and emerging market economies to the changes in commodity prices. Our assumption is that analyzing two very distinct goods—crude oil and fine wine—helps to identify common determinants of commodity prices. We find that the growth rate of global aggregate demand is the key macroeconomic determinant of the fluctuations in both crude oil and fine wine prices over the sample period. While advanced economies account for more than half of global consumption, emerging market and developing economies make up the bulk of the incremental change in demand, thereby having a greater weight in commodity price formation. The coefficient of emerging market industrial output growth is about three times as high as that of advanced economies in oil price regressions and almost five times as powerful in fine wine price regressions. The results also show that the shift in the composition of aggregate commodity demand is a recent phenomenon. (JEL Classifications: Q11, Q39, Q41, Q43)


2017 ◽  
Vol 56 (5) ◽  
pp. 1601-1621 ◽  
Author(s):  
Aktham I. Maghyereh ◽  
Basil Awartani ◽  
Osama D. Sweidan

2011 ◽  
Vol 15 (S3) ◽  
pp. 437-471 ◽  
Author(s):  
Sajjadur Rahman ◽  
Apostolos Serletis

In this paper we investigate the effects of oil price uncertainty and its asymmetry on real economic activity in the United States, in the context of a bivariate vector autoregression with GARCH-in-mean errors. The model allows for the possibilities of spillovers and asymmetries in the variance–covariance structure for real output growth and the change in the real price of oil. Our measure of oil price uncertainty is the conditional variance of the oil price–change forecast error. We isolate the effects of volatility in the change in the price of oil and its asymmetry on output growth and employ simulation methods to calculate generalized impulse response functions and volatility impulse response functions to trace the effects of independent shocks on the conditional means and the conditional variances, respectively, of the variables. We find that oil price uncertainty has a negative effect on output, and that shocks to the price of oil and its uncertainty have asymmetric effects on output.


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