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Oil Price Uncertainty

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TLDR
This article used multivariate volatility models to investigate the relationship between the price of oil and the level of economic activity, focusing on the role of uncertainty about oil prices, using a fully specified multivariate framework, based on both structural and reduced form VARs that are modified to accommodate GARCH-in-Mean errors.
Abstract
The relationship between the price of oil and the level of economic activity is a fundamental issue in macroeconomics. There is an ongoing debate in the literature about whether positive oil price shocks cause recessions in the United States (and other oil-importing countries), and although there exists a vast empirical literature that investigates the effects of oil price shocks, there are relatively few studies that investigate the direct effects of uncertainty about oil prices on the real economy. The book uses recent advances in macroeconomics and financial economics to investigate the effects of oil price shocks and uncertainty about the price of oil on the level of economic activity. Contents: Introduction Univariate Volatility Models Multivariate Volatility Models Oil Price Uncertainty The Asymmetric Effects of Oil Price Shocks Evidence from Canada Readership: Scholars & industry professionals interested in the effects of oil pricing. Key Features: The book uses multivariate volatility models to investigate the relationship between the price of oil and the level of economic activity, focusing on the role of uncertainty about oil prices It uses a fully specified multivariate framework, based on both structural and reduced form VARs that are modified to accommodate GARCH-in-Mean errors It investigates the robustness of the results to i) alternative measures of the price of oil, ii) alternative measures of the level of economic activity, and iii) alternative data frequencies and model specifications

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Do oil prices predict Indonesian macroeconomy

TL;DR: This paper examined whether oil price is a significant predictor of 31 macroeconomic variables and found that it is dependent on the choice of the forecasting horizon, which is the case for most of the variables.
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TL;DR: In this article, a structural vector autoregression model (SVAR) complements studies on why Brent and WTI started to diverge around early-2011, and the variance decomposition of stock returns for the aggregate market (S&P 500), the S&P Energy sector and Chevron and Exxon Mobil oil companies was examined.
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Macroeconomic uncertainty and natural gas prices: Revisiting the Asian Premium

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References
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Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation

Robert F. Engle
- 01 Jul 1982 - 
TL;DR: In this article, a new class of stochastic processes called autoregressive conditional heteroscedastic (ARCH) processes are introduced, which are mean zero, serially uncorrelated processes with nonconstant variances conditional on the past, but constant unconditional variances.
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Multivariate Simultaneous Generalized ARCH

TL;DR: In this paper, a new parameterization of the multivariate ARCH process is proposed and equivalence relations are discussed for the various ARCH parameterizations, and conditions suffcient to guarantee the positive deffniteness of the covariance matrices are developed.
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Oil and the Macroeconomy since World War II

TL;DR: The authors found that all but one of the U.S. recessions since World War II have been preceded, typically with a lag of around three-fourths of a year, by a dramatic increase in the price of crude petroleum.
Posted Content

Not All Oil Price Shocks are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market

TL;DR: In this paper, 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 shock; aggregate shocks to the demand for industrial commodities; and demand shocks that are specific to the crude oil market.
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Evaluating Natural Resource Investments

TL;DR: In this article, it is shown that continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing, managing, and abandoning them.