Assessing the impact of oil prices on firms of different sizes: Its tough being in the middle

Recent empirical research has found evidence of a relationship between oil price movements and stock prices. Most published research investigates the relationship between oil price movements and stock prices using either economy-wide measures of stock prices or industry sector measures of stock prices. An important question that has largely gone unanswered relates to the relationship between oil prices and stock prices when the size of firms is allowed to vary. Relative to large firms, do oil price movements have larger or smaller impacts on the stock prices of small- or medium-sized firms? The answer to this question could have important policy implications that affect economic growth and prosperity. In this paper, a panel of firms is followed over a 17-year period to investigate the relationship between oil price movements, firm size, and stock prices. Evidence is found that shows the relationship between oil price movements and stock prices does vary with firm size and the relationship is strongest for medium-sized firms.     

A broadened causality in variance approach to assess the risk dynamics between crude oil prices and the Jordanian stock market

Within the new developed causality-in-variance approach, this paper builds up a broad methodological framework to more accurately capture the risk spillover effects between global oil prices and Jordanian stock market returns during the period 1 March 2003–31 January 2014. The sample period is divided, on the basis of the 2008 financial crisis, into pre-crisis and post-crisis periods. Results for the pre-crisis period show a lack of risk spillovers between global oil and the Jordanian stock market. After the crisis, however, we find evidence for one-way risk spillover running from the oil market. These findings have implications for the design of appropriate asset allocation and regulatory policies to manage risk spillover effects.     

Cointegration between oil spot and future prices of the same and different grades in the presence of structural change

The purpose of this study is to examine whether crude oil spot and futures prices of the same and different grades are cointegrated using a residual-based cointegration test that allows for one structural break in the cointegrating vector and high-frequency data. We choose the US WTI and the UK Brent as the representative crudes for this analysis since these two crudes have well-established spot and futures markets. We find that spot and future prices of the same grade as well as spot and futures prices of different grades are cointegrated. We examine potential causes of structural change as revealed by the cointegration test in terms of events that have impacted on world oil markets as well as discuss the implications of the results for hedge managers, investors and regulators.     

Dynamic cyclical comovements of oil prices with industrial production,consumer prices,unemployment, and stock prices

This paper examines the empirical relationship between oil prices and several key macroeconomic variables. In particular, we investigate the cyclical comovements of crude oil prices with output, consumer prices, unemployment, and stock prices. The methodology involves the use of the Hodrick–Prescott [Hodrick, R.J., Prescott, E.C., 1980. Post-War US Business Cycles: An Empirical Investigation. Working Paper, Carnegie Mellon University] and Baxter–King [Baxter, M., King, R.G., 1999. Measuring business cycles: approximate band-pass filters for economic time series. Review of Economics and Statistics 81, 575–593] filters, as well as the recently developed full-sample asymmetric Christiano–Fitzgerald [Christiano, L.J., Fitzgerald, T.J., 2003. The band pass filter. International Economic Review 44, 435–465] band-pass filter. Contemporaneous and cross-correlation estimates are made using the stationary cyclical components of the time series to make inference about the degree to which oil prices move with the cycle. Besides documenting a number of important cyclical relationships using three different time series filtering methods, the results suggest that crude oil prices are procyclical and lag industrial production. Additionally, we find that oil prices lead consumer prices.     

The impact of global oil price shocks on China’s stock returns: Evidence from the ARJI(-ht)-EGARCH model

This paper investigated the impact of global oil price shocks on China’s stock market, using the ARJI(-h_t)-EGARCH model. We separated the volatilities into expected, unexpected and negatively unexpected ones to identify how oil prices influence the stock returns. The results reveal that there are jumps varying in time in China’s stock market, and that China’s stock returns are correlated only with expected volatilities in world oil prices, contrary to previous research. While world oil prices have a positive effect on China’s stock returns, results from this study suggest that this effect is minor.     

The impact of oil prices on GDP in European countries: An empirical investigation based on asymmetric cointegration

This paper investigates the existence of a long-term relationship between oil prices and GDP in 12 European countries. To account for the fact that economic activity responds asymmetrically to oil price shocks, we propose an approach based on asymmetric cointegration. Our results show that, while standard cointegration is rejected, there is evidence for asymmetric cointegration between oil prices and GDP in the majority of the considered European countries.     

Exploring asymmetric behavior pattern from Indian oil products prices using NARDL and GHSOM approaches

The present work endeavors to explore the potential asymmetries in the pricing of oil products in India where prices are not only affected by the crude oil price changes in the international markets but are also subject to government interventions. In order to protect domestic consumers from this volatility, historically the government of India tried to control the domestic price of petroleum products by cross subsidization and giving subsidies. In this paper, we analyze the impact of crude oil price on domestic oil prices by applying nonlinear autoregressive distributed lag (NARDL) and Growing Hierarchical Self-Organizing Map (GHSOM) approaches for the period of April, 2005–July, 2014. The GHSOM has been explored through pattern analysis on the asymmetric behavior using similarity measures. From the study it can be interpreted that the prices of products left to be determined by the market exhibit a strong asymmetry. However, pricing of the products that are monitored and controlled by the government do not exhibit any such asymmetry. Hence, the question still remains – should the government intervene in pricing petroleum products when monopolistic attitudes of large oil companies are detrimental to the interest of retail consumers?     

Simulation study on falling oil prices: supply-demand and prices scenarios to 2000

The simulation study concludes that crude oil prices in the next 2–3 years will continue to repeat sharp fluctuations, with an average price staying at levels of around $15–18. But speculative crudes, such as North Sea Brent, WTI and Dubai, will show even sharper fluctuations in their market prices. When the volatile period of sharp fluctuations is over, prices will then temporarily settle at the early-20-dollar level in the late 1980s through to the early 1990s. Then, from the mid-1990s, prices will enter an upward period, reaching around $24 in 1995 and around $30 in 2000 (in terms of the 1986 real price).     

Dynamics of oil price,precious metal prices and the exchange rate in the long-run

We examine the relationship between the oil price, prices of precious metals (gold, silver, and platinum) and the US dollar/British Pound exchange rate using parametric and non-parametric modelling over a 135-year period. For the parametric model, we employ a two-regime threshold vector error correction model (TVECM) and find non-linearity and asymmetries in the long-term relationship between the oil-gold price and oil-silver price pairs during the ‘typical regime’, in which the majority of observations lie. Non-linear Granger causality suggests evidence of bidirectional and unidirectional causality. For the non-parametric model, we employ Local Linear (LL) non-parametric regression to relax the assumptions regarding functional form. The relationship between the oil price and each of the precious metal prices and the exchange rate exhibit non-linearities. The relationship between precious metal prices and the oil price is positive and generally increasing over time, while the LL estimates for the exchange rate are negative and then positive and highly non-linear.     

The long-run impact of energy prices on world agricultural markets: The role of macro-economic linkages

The world prices of some food and energy products have followed similar large swings in recent years. We investigate the long-run relationship between these prices using a world Computable General Equilibrium model with detailed representations of food and energy markets. Particular attention is paid to specifying macro-economic linkages which have often been overlooked in recent analysis and debate. We find that the omission of these macro-economic linkages has a substantial bearing on this relationship. A positive relationship due to the cost push effect has been identified in most analysis, but we find that the introduction of the real income effect may indeed imply a negative relationship between world food and energy prices.     

Analysis of real oil prices via trend-cycle decomposition

The recent fluctuations in the oil prices have intensified the discussion on the dynamics and causes of real oil price changes. While the long-run component of real oil prices seems to have a stochastic trend, global real economic activity has been thought to generate important changes in real oil prices. Based on this argument, in this paper, we analyze the real oil prices within a trend-cycle decomposition framework, where we impose a stochastic trend and assume the cyclical term to be affected by global economic conditions. We also let the parameters vary over time to see whether shocks to trend and the cycle have changing effects on the real oil prices. As a result, we find that shocks to trend are more persistent recently. In that sense, this paper contributes to the literature by offering an explanation for the increased volatility in oil prices. In addition, we show that global economic activity contributed also to the previous oil price shocks, which were regarded mainly as supply-side driven.     

Unit root properties of crude oil spot and futures prices

In this article, we examine whether WTI and Brent crude oil spot and futures prices (at 1, 3 and 6 months to maturity) contain a unit root with one and two structural breaks, employing weekly data over the period 1991–2004. To realise this objective we employ Lagrange multiplier (LM) unit root tests with one and two endogenous structural breaks proposed by Lee and Strazicich [2003. Minimum Lagrange multiplier unit root test with two structural breaks. Review of Economics and Statistics, 85, 1082–1089; 2004. Minimum LM unit root test with one structural break. Working Paper no. 04–17, Department of Economics, Appalachian State University]. We find that each of the oil price series can be characterised as a random walk process and that the endogenous structural breaks are significant and meaningful in terms of events that have impacted on world oil markets.     

A comparison of petroleum futures versus spot prices as predictors of prices in the future

Even though studies have indicated that the futures market leads the spot market in price discovery, this paper hypothesizes that the ‘predictive’ significance of each should be the same. A number of different statistical tests are presented to test this hypothesis. When deseasonalized data is employed the predictive significance of each series is found to be the same, but when actual prices are employed, futures prices did correctly anticipate the observed seasonal pattern.     

The initial impact of EU ETS verification events on stock prices

This paper studies the impact of verified emissions publications in the European Emissions Trading Scheme (EU ETS) on the market value of participating companies. Using event study methodology on a unique sample of 368 listed companies, we show that verified emissions only resulted in statistically significant market responses when the carbon price was high and allowance scarcity was anticipated. The cross-section analysis of abnormal returns surrounding the publication of verified emissions shows that share prices decrease when actual emissions relative to allocated emissions increase. This negative relationship between allocation shortfalls and firm value is only significant for firms that are either carbon-intensive, compared to sector peers, or are less likely to pass through carbon-related costs in their product prices. The results suggest that although the EU ETS has been deemed unsuccessful so far due to over-allocation and low carbon price, shareholders initially perceived allowance holdings as value relevant. Our results highlight that a significant carbon market price and addressing pass-through costing are essential for successful future reforms of the EU ETS and other analogous carbon cap-and-trade systems implemented or planned worldwide.     

Investigating the impact of variable energy prices and renewable generation on the annualized cost of hydrogen

Hydrogen can be produced from onsite renewable energy, energy from the power grid, or a combination of both. While the cost of grid energy is driven by the energy prices, onsite renewable investments are driven by the levelized cost of renewable energy. Energy prices can widely vary in time and in different locations, potentially having a large impact on the annualized cost of hydrogen (ACOH). Renewable sources can also vary significantly for different locations and seasons. In this paper, we develop a semi-empirical model to find key ACOH locational drivers and trends. The model finds the optimal capacity of the onsite solar and wind generators and the electrolyzer, together with the optimal use of grid energy. We found that an optimal balance between onsite renewable investments and grid energy use is strongly driven by the type of energy price (fixed or variable) and location.     

The impact of Australian ETS news on wholesale spot electricity prices: An exploratory analysis

This article investigates the impact of news concerning the development of emissions trading in Australia (such as the Carbon Pollution Reduction Scheme (CPRS)) on wholesale electricity spot prices, by using a database of 117 news announcements from December 1, 1998 to July 1, 2009. As power producers constitute the bulk of the participants of the proposed Australian emissions trading scheme, regulatory changes (about allocation, banking, coverage, targets) are indeed likely to affect the five interconnected electricity markets in New South Wales, Queensland, South Australia, Victoria, and Tasmania. We assess these effects with an ARMA(1,1)-GARCH(1,1) model, where daily electricity spot prices are regressed against exogenous variables in the mean and variance equations. This article constitutes the first empirical analysis of Australian ETS news effects on electricity wholesale spot prices. Our results show two asymmetric types of news effects, depending on their information content.     

The effect of the downturn in oil prices on the external surpluses of the GCC countries

The paper examines the impact of the downturn in oil prices on the performance of the external sectors of the members of the Gulf Co-operation Council (GCC). The paper also developes and tests a simultaneous-equations model to examine the interaction between the economies of the GCC and the rest of the world. The analysis shows that the slump in oil exports has reduced drastically the external surplus of the GCC and has resulted in structural shifts in the import and resource balance functions.     

Modeling the relationship between the oil price and global food prices

The growth of corn-based ethanol production and soybean-based bio-diesel production following the increase in the oil prices have significantly affect the world agricultural grain productions and its prices. The main purpose of this paper is to investigate the relationships between the crude oil price and the global grain prices for corn, soybean, and wheat. The empirical results show that the change in each grain price is significantly influenced by the changes in the crude oil price and other grain prices during the period extending from the 3rd week in 2005 to the 20th week in 2008 which implies that grain commodities are competing with the derived demand for bio-fuels by using soybean or corn to produce ethanol or bio-diesel during the period of higher crude oil prices in these recent years. The subsidy policies in relation to the bio-fuel industries in some nations engaging in bio-fuel production should be considered to avoid the consequences resulting from high oil prices.     

The effect of the downturn in oil prices on the relative efficiency of government expenditure in the gcc countries

This paper tests a control model to discover the effect of the decline in oil prices on the relative efficiency of government expenditure in the member states of the Gulf Cooperation Council. The econometric analysis shows that as a consequence of the decline in oil prices, the GCC countries need a relatively higher proportional rate of growth in their government expenditure to maintain a given percentage of income growth in the long run. This may, however, prove difficult, which necessitates greater reliance on other means of control.     

Optimal oil import tariffs: An international perspective for the 1980s

Since the oil price explosion of 1973–74, oil policy has focused on two problem areas: firstly, chronically high international oil prices and secondly, vulnerability to disruptions in oil supply. Until recently, many held that measures designed to reduce the level of oil imports would mitigate both of these problems. Oil import reductions would put downward pressure on world oil prices during normal supply conditions, while simultaneously reducing the importer's exposure to oil supply interruptions. By the end of the 1970s, however, several analysts had concluded that certain characteristics of the world oil market would minimize both of these potential benefits of oil import reductions. Now, after more than two years of glut on the world oil market, many doubt that policy-induced import reductions would have any beneficial effects at all. This paper assesses the value of oil import reduction policies during the oil market conditions that are expected to prevail during the 1980s. The conclusion is that there are still substantial benefits to be gained by implementing efficient import reductions. This conclusion is robust over a broad range of assumptions about OPEC objectives and other key determinants of world oil market behaviour.