Effects of Inventory Announcement on Crude Oil Price Volatility


Book Description

This paper examines the behavior of crude oil futures price volatility and investigates how the EIA weekly crude oil inventory reports announcements, especially information shocks, impact crude oil price movement and volatility. This study focuses on inventory information shocks using a new measure rather than on inventory changes themselves. The empirical results reveal that inventory information shocks rather than actual inventory changes negatively affect crude oil returns on the day the EIA releases the inventory information, although inventory shocks have no effect on daily conditional variance, which mainly follows a GARCH(1,1) process. To test the robustness of our model, we re-estimate the models for three subsamples. According to all results, we find that the effect of inventory shocks is weakened in rapid growth periods and disappears in steep fall markets.




Oil Price Volatility and the Role of Speculation


Book Description

How much does speculation contribute to oil price volatility? We revisit this contentious question by estimating a sign-restricted structural vector autoregression (SVAR). First, using a simple storage model, we show that revisions to expectations regarding oil market fundamentals and the effect of mispricing in oil derivative markets can be observationally equivalent in a SVAR model of the world oil market à la Kilian and Murphy (2013), since both imply a positive co-movement of oil prices and inventories. Second, we impose additional restrictions on the set of admissible models embodying the assumption that the impact from noise trading shocks in oil derivative markets is temporary. Our additional restrictions effectively put a bound on the contribution of speculation to short-term oil price volatility (lying between 3 and 22 percent). This estimated short-run impact is smaller than that of flow demand shocks but possibly larger than that of flow supply shocks.




Dynamic Linkages and Volatility Spillover


Book Description

This book examines the dynamic relationship and volatility spillovers between crude oil prices, exchange rates and stock markets of emerging economies. Unfortunately very little research has been conducted to analyze the volatility spillovers and dynamic relationship between crude oil prices, exchange rates and stock markets of India.




On the Sources and Consequences of Oil Price Shocks


Book Description

Building on recent work on the role of speculation and inventories in oil markets, we embed a competitive oil storage model within a DSGE model of the U.S. economy. This enables us to formally analyze the impact of a (speculative) storage demand shock and to assess how the effects of various demand and supply shocks change in the presence of oil storage facility. We find that business-cycle driven oil demand shocks are the most important drivers of U.S. oil price fluctuations during 1982-2007. Disregarding the storage facility in the model causes a considerable upward bias in the estimated role of oil supply shocks in driving oil price fluctuations. Our results also confirm that a change in the composition of shocks helps explain the resilience of the macroeconomic environment to the oil price surge after 2003. Finally, speculative storage is shown to have a mitigating or amplifying role depending on the nature of the shock.




Measuring Oil-Price Shocks Using Market-Based Information


Book Description

The authors study the effects of oil-price shocks on the U.S economy combining narrative and quantitative approaches. After examining daily oil-related events since 1984, they classify them into various event types. They then develop measures of exogenous shocks that avoid endogeneity and predictability concerns. Estimation results indicate that oil-price shocks have had substantial and statistically significant effects during the last 25 years. In contrast, traditional vector auto-regression (VAR) approaches imply much weaker and insignificant effects for the same period. This discrepancy stems from the inability of VARs to separate exogenous oil-supply shocks from endogenous oil-price fluctuations driven by changes in oil demand. Illustrations.







Peaks, Spikes, and Barrels


Book Description

Global oil markets were roiled by sharp price swings in 2008, and economists are still divided over the reasons for the unusual volatility. Those emphasizing fundamentals point to inelastic supply and demand curves, others view the phenomenon mostly as a result of financial investors flocking into commodity markets. This paper attempts to infer the strength of these competing hypotheses, using a simultaneous equation model that enables us to undertake a separate analysis of supply and demand factors. The model broadly captures both the surge and subsequent fall in prices, with a particularly strong impact of demand factors. The model captures a strong effect of a measure for global liquidity but does not find support for a speculative motive.




Modelling the Impact of Oil Price Volatility on Investment Decision-making


Book Description

The energy industry is transforming from the old, vertically integrated model into a more competitive model in which most companies are exposed to different types of risk. One of the major challenges facing energy companies is making investment decision-making associated with the prices of crude oils. Since 1973, crude oil price behaviour has become more volatile, which suggested that different forces were driving crude oil prices. One of the main factors in generating the behaviour of crude oil prices is the role performed by OPEC and non-OPEC crude oil producers. Several theoretical and empirical analyses suggested that the economics behind OPEC's supply of crude oil is different than those of non-OPEC supply. This study investigates whether prices of OPEC crude oils and prices of non-OPEC crude oils share a common data-generating process. The study empirically tests oil price volatility of OPEC and non-OPEC crude oil prices using GARCH models. It also applies the Johansen Cointegration Model and the Engle-Granger Error Correlation Model (ECM) model to test the long - and short-term relationship between crude prices (OPEC and non-OPEC) and stock prices of different oil companies. Finally, a panel data approach using fixed and random effects is used to estimate the reaction of OPEC and non-OPEC crude oil prices to events and news items that could possibly affect oil supply and prices. The results obtained suggest that the behaviour of crude oil prices is not affected by OPEC or non-OPEC affiliation. This finding suggests that the international oil market is globally integrated market that is able to factor in any possible changes to supply behaviour of OPEC or non-OPEC producers.




Oil Supply Disruptions


Book Description




Transitory and Permanent Shocks in the Global Market for Crude Oil


Book Description

This paper documents the determinants of real oil price in the global market based on SVAR model embedding transitory and permanent shocks on oil demand and supply as well as speculative disturbances. We find evidence of significant differences in the propagation mechanisms of transitory versus permanent shocks, pointing to the importance of disentangling their distinct effects. Permanent supply disruptions turn out to be a bigger factor in historical oil price movements during the most recent decades, while speculative shocks became less influential.