Can increasing gasoline supply in the United States affect ethanol production in Brazil?

The increasing supply of non-conventional oil in the U.S. has changed the dynamics of crude oil market and the flow of oil products in the Atlantic Basin. The Gulf of Mexico (GoM) emerges as an exportation hub of oil products, contributing to a scenario in which gasoline prices tend to decline. Meanwhile, from 2010, the competitiveness of the Brazilian sugarcane ethanol has been ruptured by the country's gasoline price policy that had not followed international price parity. The political conjuncture of the U.S. incites high utilization rates of their refining system in the GoM. In this context the profitability of the ethanol business can be impacted in Brazil, by either the current policy of controlled domestic gasoline prices or a future scenario of declining gasoline international prices. Therefore, this study tests if this gasoline price scenario can compromise even more the competitiveness of the Brazilian ethanol. Particularly, for a scenario of falling prices, ethanol production in Brazil would be under strong pressure of gasoline supply coming from the U.S. This can impact Brazil's ethanol industry, whose development has been justified by climate change policies. In that sense, the paper also discusses the future opportunities and challenges for Brazil's ethanol industry.     

Causes for an asymmetric relation between the price of crude oil and refined petroleum products

We revisit the issue of asymmetries in the relation between the price of crude oil and refined petroleum products in the United States. An econometric analysis of monthly data indicates that the asymmetric relation between the price of crude oil and motor gasoline is generated by refinery utilization rates and inventory behavior. The asymmetric relation between the price of crude oil and home heating oil probably is generated by contractual arrangements between retailers and consumers. Together, these results imply that price asymmetries may be generated by efficient markets. Under these conditions, there is little justification for policy interventions to reduce or eliminate price asymmetries in motor gasoline and home heating oil markets.     

Oil industry consolidation and refined product prices: Evidence from US wholesale gasoline terminals

Our objective in this paper is to quantify the impact of petroleum industry consolidation on refined product prices, controlling for other important factors that could also impact prices. Our empirical analysis focuses on the US petroleum refining industry using data on industry consolidation and wholesale gasoline prices collected over the interval 2000–2008. We match refinery units to wholesale city-terminal gasoline markets, and then estimate pooled cross-section time-series regressions to quantify the impact of petroleum industry consolidation on wholesale gasoline prices at city-specific terminals. The results of the empirical analysis of mergers are mixed, showing that some petroleum industry mergers resulted in statistically significant increases in refined product prices; others resulted in statistically significant declines and still others had no statistical impact at all. Our analysis of the effects of measures of market concentration—one at the level of city-specific wholesale terminals and another at the level of regional spot markets—found evidence that less concentrated markets are associated with lower price levels.     

Assessing the impact of US ethanol on fossil fuel markets: A structural VAR approach

Despite the growing importance of biofuels, the effect of biofuels on fossil fuel markets is not fully understood. We develop a joint structural Vector Auto Regression (VAR) model of the global crude oil, US gasoline, and US ethanol markets to examine whether the US ethanol market has had any impact on global oil markets. The structural VAR approach provides a unique method for decomposing price and quantity data into demand and supply shocks, allowing us to estimate the distinct dynamic effects of ethanol demand and supply shocks on the real prices of crude oil and US gasoline. Ethanol demand in the US is driven mainly by government support in the form of tax credits and blending mandates. Shocks to ethanol demand therefore reflect changes in policy more than any other factor. In contrast, ethanol supply shocks are driven by changes in feedstock prices. A principle finding is that a policy-driven ethanol demand expansion causes a statistically significant decline in real crude oil prices, while an ethanol supply expansion does not have a statistically significant impact on real oil prices. This suggests that even though US ethanol market is small, the influence of US biofuels policy on the crude oil market is pervasive. We also show that ethanol demand shocks are more important than ethanol supply shocks in explaining the fluctuation of real prices of crude oil and US gasoline.     

Asymmetric error correction models for the oil–gasoline price relationship

The existing literature on price asymmetries does not systematically investigate the sensitivity of the empirical results to the choice of a particular econometric specification. This paper fills this gap by providing a detailed comparison of the three most popular models designed to describe asymmetric price behavior, namely asymmetric ECM, autoregressive threshold ECM and ECM with threshold cointegration. Each model is estimated on a common monthly data set for the gasoline markets of France, Germany, Italy, Spain and UK over the period 1985–2003. All models are able to capture the temporal delay in the reaction of retail prices to changes in spot gasoline and crude oil prices, as well as some evidence of asymmetric behavior. However, the type of market and the number of countries which are characterized by asymmetric oil–gasoline price relations vary across models. The asymmetric ECM prescribes that long-run price asymmetries are most likely to be found in the second stage of the transmission chain. Conversely, the ECM with threshold cointegration suggests that long-run price asymmetries vary across countries and markets. Short-run price asymmetries are captured by the asymmetric ECM specification and the TAR-ECM. The latter model suggests that all European countries are likely to be affected by asymmetries at the distribution stage, while the results obtained with the asymmetric ECM are mixed.     

Anticipated and unanticipated effects of crude oil prices and gasoline inventory changes on gasoline prices

This paper examines the effect of anticipated and unanticipated changes in oil prices and gasoline inventory on US gasoline prices. We estimate empirical responses to anticipated and unanticipated changes in oil prices and gasoline inventory and show that gasoline price adjustments are faster and stronger for anticipated changes in oil prices and inventory levels than for unanticipated changes. Furthermore, this difference is statistically significant. We use these findings to evaluate the cost of adjustment hypothesis suggested by Borenstein and Shephard (2002). We also find that there is an asymmetry in the effect of gasoline inventory on gasoline and oil prices. This finding complements a well-known result that positive and negative changes in oil prices have asymmetric effect on gasoline prices.     

Assessment of the relationship between oil prices and US oil stocks

This paper qualitatively and quantitatively analyzes the relationship between US monthly ending oil stocks position with that of West Texas Intermediate (WTI) oil prices from February 1995 to July 2004. The paper concludes if other things are held constant, WTI is inversely related to the petroleum products (PPP), combined petroleum products and crude oil (CPPP), crude oil alone (Crude), total oil stocks including petroleum products, crude oil and strategic petroleum reserves SPR (Total), total gasoline (TGO), total distillate (TDO). It could not establish a statistically significant and negative relationship with SPR when run alone. One percent increase (decrease) in CPPP, PPP, Crude, Total, TGO and TDO leads to decrease (increase) in WTI, respectively, by 0.70, 0.43, 0.37, 0.97, 0.26 and 0.21 percent. Oil prices are largely influenced by total crude and Crude and PPP inventories levels while modestly with variations in gasoline and distillate stocks levels. Despite a healthy increase of over 22 percent in SPR from January 2001 to April 2004, it did not result in easing of oil prices. Primarily because SPR are meant for security of supply concern and are only released under extreme conditions by the President of United States, they are neither meant for the purposes of balancing supply–demand gap nor for the stability of oil prices. The aggressive SPR buildup in recent years is related to international terrorism, geopolitical situation in the Middle East, particularly in Iraq, that encourages US government to enhance its SPR to meet any short-term eventuality. The analyst must keep a close eye on CPPP and the total oil stocks variation to forecast WTI in the short run whilst gasoline and distillate influence oil prices modestly in the short run. SPR, on the other hand, are expected to play a pivotal role in balancing oil prices and in providing a critical resource for the economy in case of any major shortfall in the long run.     

The role of market fundamentals and speculation in recent price changes for crude oil

I hypothesize that the price spike and collapse of 2007–2008 are driven by both changes in both market fundamentals and speculative pressures. Contrary to arguments for a demand shock, I hypothesize that prices rise sharply in 2007–2008 because ongoing growth in Chinese oil demand runs into a sudden and unexpected halt to a decade long increase in non-OPEC production. This caused a loss of OPEC spare capacity because increased demand for OPEC production runs ahead of increases in OPEC capacity. These changes are reinforced by speculative expectations. Although difficult to measure directly, I argue for the role of speculation based on the following: (1) a significant increase in private US crude oil inventories since 2004; (2) repeated and extended break-downs (starting in 2004) in the cointegrating relationship between spot and far month future prices that are inconsistent with the law of one price and arbitrage opportunities; and (3) statistical and predictive failures by an econometric model of oil prices that is based on market fundamentals. These changes are related to the behavior and impact of noise traders on asset prices to sketch mechanisms by which speculative expectations can affect crude oil prices.     

Correlation between Chinese and international energy prices based on a HP filter and time difference analysis

To establish a reasonable system and mechanism for Chinese energy prices, we use the Granger causality test, Hodrick–Prescott (HP) filter and time difference analysis to research the pricing relationship between Chinese and international energy prices. We find that Chinese and international crude oil prices changed synchronously while Chinese refined oil prices follow the changes of international oil prices with the time difference being about 1 month to 2 months. Further, Australian coal prices Granger causes Chinese coal prices, and there is a high correlation between them. The U.S. electricity price is influenced by the WTI crude oil price, the U.S. gasoline price and the HenryHub gas price. Due to the unreasonable price-setting mechanism and regulation from the central government, China′s terminal market prices for both electricity and natural gas do not reflect the real supply–demand situation. This paper provides quantitative results on the correlation between Chinese and international energy prices to better predict the impact of international energy price fluctuations on China′s domestic energy supply and guide the design of more efficient energy pricing policies. Moreover, it provides references for developing countries to improve their energy market systems and trading, and to coordinate domestic and international energy markets.     

Asymmetric effects of oil prices and exchange rates on China’s industrial prices

This paper explores the impacts of positive and negative changes in crude oil price and exchange rate variables on raw material procurement prices and product ex-factory prices of China’s industrial enterprises. We run the nonlinear autoregressive distributed lag (NARDL) model for the full sample from January 2000 to June 2019, and find the existence of the cointegrating relationships and the asymmetries of the long-run effects from positive and negative changes in oil price and exchange rate variables. Then, we run the OLS and quantile regressions for the two subsamples. Through the analysis of the estimates in different quantities in the latter model, we obtain rich and novel findings. The main findings include the inconsistency between the practice of oil price and exchange rate transmissions in China and the usual theoretical explanations, and the active roles of China’s oil product mechanism and exchange rate policy reforms in mitigating transmission distortions. In addition, we also find other asymmetries such as the asymmetric effects in different locations of dependent variable’s conditional distribution, and the different effects on raw material prices and product ex-factory prices from the same independent variables.     

Price and prospects for oil : Carrying the burden of excess capacity in the 1980s and beyond

The continuing decline in world oil prices will not be halted in the short term, and prospects for the long run are not encouraging. There is a problem of unprecedented gravity in the surplus capacity of the oil industry. A glut of 10 million bbl/day of crude oil remains unsold, the cohesion of the OPEC cartel is becoming more strained, and a sizeable proportion of refinery plant has been taken off-stream. The basic difficulty is that high interest rates have curbed international capital formation and depressed demand. Upward pressures on the US dollar have been created by the deficit on US domestic and external accounts, and have retarded the recovery of the global economy. Today the cost of money exceeds the factor price of oil, and the market is highly unstable. The devastating costs of carrying surplus capacity are likely to survive through the 1980s.     

World oil prices and agricultural commodity prices: Evidence from an emerging market

Oil prices are thought to have direct effect on agricultural prices followed by an indirect effect through the exchange rate. This paper examines the short- and long-run interdependence between world oil prices, lira-dollar exchange rate, and individual agricultural commodity prices (wheat, maize, cotton, soybeans, and sunflower) in Turkey. To this end, the Toda-Yamamoto causality approach and generalized impulse-response analysis for identification of the long- and short-run interrelationships are applied to the monthly data spanning from January 1994 to March 2010. The impulse-response analysis suggests the Turkish agricultural prices do not significantly react to oil price and exchange rate shocks in the short-run. The long-run causality analysis reveals that the changes in oil prices and appreciation/depreciation of the Turkish lira are not transmitted to agricultural commodity prices in Turkey. Hence, our results support neutrality of agricultural commodity markets in Turkey to both direct and indirect effects of oil price changes.     

Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model

As the uncertainty of oil price increases, impacts of the influential factors on oil price vary over time. It is of great importance to explore the core factors and its time-varying influence on oil price. In view of this, based on the PATH-ANALYSIS model, this paper obtains the core factors, builds an oil price system VAR model, which uses demand, supply, price, and inventory as endogenous variables, and China's net imports as well as dollar index as exogenous variables. Then we set up a BVAR-TVP (Time varying parameter) model to analyze dynamic impacts of core factors on oil price. The results show that: (1) oil prices became more sensitive to oil supply changes, and the influence delays became shorter; (2) the impact of oil inventories on oil prices with a time lag of two quarters but has a downward trend; (3) the impact of oil consumption on oil prices with a time lag of two quarters, and this effect is increasingly greater; (4) the US dollar index is always the important factor of oil price and its control power increases gradually, and the financial crisis (occurred in 2008) further strengthens the influence of US dollar.     

Hedging downside risk of oil refineries: A vine copula approach

The financial health of an oil refinery greatly depends on its refining margin or the difference between the prices of its refined products (typically, gasoline and heating oil) and the cost of crude oil. The refinery may hedge against the downside risk of unfavorable price movements using crude oil, gasoline, and heating oil futures. This paper examines the use of a vine copula approach to estimate multiproduct hedge ratios that minimize the downside risk of the refinery. The advantage of the vine copula approach is that it allows us to capture important characteristics of petroleum price changes, including skewness and fat-tailedness in the marginal distributions of individual price change series as well as heterogeneous (tail) dependence patterns between different pairs of price changes. The out-of-sample hedging effectiveness of two popular classes of vine copula models – canonical (C-) and drawable (D-) vine copula models – are evaluated and compared with that of the widely used nonparametric method and three standard multivariate copula models. The empirical results reveal that the D-vine copula model is a good and safe choice in managing the downside risk of the refinery.     

Airfares and oil prices: ‘Feathers and Rockets’ adjustments

One reason that the US Department of Justice is examining collusion within the airline industry may be the small (12%) decline in airfares that follows a large (57%) drop in crude oil prices. This relatively small response could be caused by three mechanisms related to the oil market; (1) slow rates of adjustment, (2) airfares adjust asymmetrically to changes in the oil market, or (3) asymmetric adjustments within the oil market that are communicated symmetrically to airfares. I evaluate these hypotheses by estimating a cointegrating vector autoregression model from monthly data and testing the error correction mechanism for asymmetry. Although small, estimated rates of adjustment indicate that the large reduction in oil prices has been passed to airfares. Tests of the error correction model do not provide evidence for asymmetric adjustments between airfares and oil market. Contrary to the relation between crude oil and motor gasoline prices, prices for jet fuel adjust faster to reductions in crude oil prices and so cannot be responsible for the relatively small decline in airfares. Although the CVAR model does not identify an oil-related mechanism that can generate the small decline in airfares relative to the large decline in the price for crude oil, this absence does not imply the converse, that airlines collude to set airfares.     

Asymmetry in retail gasoline and crude oil price movements in the United States: An application of hidden cointegration technique

There is a common belief that gasoline prices respond more quickly to crude oil price increases than decreases. Some economists and politicians believe that asymmetry in oil and gasoline price movements is the outcome of a non-competitive gasoline market requiring that governments take policy action to address “unfair pricing”. There is no consensus as to the existence, or nature, of the asymmetric relationship between prices of gasoline and crude oil. Much of this literature specifies asymmetry in the speed of adjustment and short-run adjustment coefficients. In contrast, Granger and Yoon's [Granger, C.W. and Yoon, G. “Hidden Cointegration”, University of California, San Diego, Department of Economics Working Paper, (2002).] Crouching Error Correction Model (CECM) identifies asymmetry of the cointegrating vectors between components (cumulative positive and negative changes) of the series. Applying the CECM to retail gasoline and crude oil prices for the U.S., we find that there is only evidence of cointegration between positive components of crude oil prices and negative components of gasoline prices. In contrast to the literature which attributes asymmetric price movements to market power of refiners, these findings suggest that gasoline prices –in the long run– are more influenced by the technological changes on the demand side than crude oil price movements on the supply side.     

Price discovery in Brazil: causal relations among prices for crude oil,ethanol, and gasoline

ABSTRACT

Brazil is among the largest producers of ethanol and crude oil. Like other emerging countries, Brazil seeks to keep domestic prices for liquid fuels consistent with the international market. To evaluate Brazil’s policy of pricing petroleum products, price controls to curb inflation, and price liberalization (international parity), we analyze causal relations among domestic prices for hydrated ethanol, gasohol (anhydrous ethanol blended into gasoline), and gasoline, and the crude oil benchmark WTI during four sample periods. Before October 2016, flex-fuel vehicles make hydrated ethanol and gasohol substitutes, which creates a bidirectional causal relation between their prices. This causal relation disappears after October 2016. During this period, WTI and gasoline are the main source of new information for the price of hydrated ethanol.     

Risk management in the oil industry: can information on long-run equilibrium prices be utilized?

We analyze co-movements between the prices of crude oil and major refined products during the period 1992–1998. Specifically, we explore the existence of long-run equilibrium price relationships, and whether deviations from estimated equilibrium can be utilized for predictions of short-term price changes and for risk management. The econometric evidence strongly supports the hypothesis that crude and product prices are co-integrated. Past deviations from long-term equilibrium are significant in an error correction specification of short-term product price changes. The results represent valuable information for hedging, particularly in integrated oil companies for which price risk is related to margin variations.     

2010年国际原油价格走势分析与判断

2010年国际原油价格走势将继续受到全球经济复苏、需求、供应、库存、美元走势、投机以及地缘政治等因素的影响。预计2010年国际油价仍将在震荡中不断走高,波动区间大致为70～90美元/桶。为应对国际油价的波动,中国应更多地参与国际油价的决定,关键是建立和完善石油战略储备体系和石油金融战略体系。