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Oil price fluctuations and their impact on oil-exporting emerging economies

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Abstract

How do oil price fluctuations affect economic activity and policy in the context of oil-exporting emerging economies? Past research suggests that the output responses to oil price innovations are asymmetric in nature but does not directly test the asymmetry in the government expenditure adjustments triggered by the shock. Moreover, many studies quantifying these asymmetric responses are fraught with methodological concerns. This paper assesses the empirical relevance of such asymmetries by studying how output and government expenditure respond to oil price shocks. Our estimation employing unbiased methodologies allows us to be agnostic regarding asymmetries in the responses depending on the direction and size of the shock. Using data for a diverse group of emerging economies, we find substantial evidence for the presence of asymmetries. Country-specific factors and/or fiscal stabilization incentives are possible explanations for the asymmetric responses. We draw policy recommendations for understanding the growth process specific to resource-rich emerging economies.

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The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for the crude oil spot and futures returns of two major benchmark international crude oil markets, Brent and WTI, to calculate optimal portfolio weights and optimal hedge ratios, and to suggest a crude oil hedge strategy. The empirical results show that the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger proportions than spot. For WTI, however, DCC and BEKK suggest holding crude oil futures to spot, but CCC and VARMA-GARCH suggest holding crude oil spot to futures. In addition, the calculated optimal hedge ratios (OHRs) from each multivariate conditional volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one dollar long in crude oil spot. Finally, the hedging effectiveness indicates that DCC (BEKK) is the best (worst) model for OHR calculation in terms of reducing the variance of the portfolio.
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Using a newly developed measure of global real economic activity, a structural decomposition of the real price of crude oil in four components is proposed: oil supply shocks driven by political events in OPEC countries; other oil supply shocks; aggregate shocks to the demand for industrial commodities; and demand shocks that are specific to the crude oil market. The latter shock is designed to capture shifts in the price of oil driven by higher precautionary demand associated with concerns about the availability of future oil supplies. The paper quantifies the magnitude and timing of these shocks, their dynamic effects on the real price of oil and their relative importance in determining the real price of oil during 1975-2005. The analysis also sheds light on the origins of the major oil price shocks since 1979. Distinguishing between the sources of higher oil prices is shown to be crucial for assessing the effect of higher oil prices on U.S. real GDP and CPI inflation. It is shown that policies aimed at dealing with higher oil prices must take careful account of the origins of higher oil prices. The paper also quantifies the extent to which the macroeconomic performance of the U.S. since the mid-1970s has been determined by the external economic shocks driving the real price of oil as opposed to domestic economic factors and policies.
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