Return and volatility transmission between world oil prices and stock markets of the GCC countries

This paper investigates the return links and volatility transmission between oil and stock markets in the Gulf Cooperation Council (GCC) countries over the period 2005-2010. We employ a recent generalized VAR-GARCH approach which allows for transmissions in return and volatility. In addition, we analyze the optimal weights and hedge ratios for oil-stock portfolio holdings. On the whole, our results point to the existence of substantial return and volatility spillovers between world oil prices and GCC stock markets, and appear to be crucial for international portfolio management in the presence of oil price risk.     

Oil price shocks and stock market activities: Evidence from oil-importing and oil-exporting countries

While the relationship between oil prices and stock markets is of great interest to economists, previous studies do not differentiate oil-exporting countries from oil-importing countries when they investigate the effects of oil price shocks on stock market returns. In this paper, we address this limitation using a structural VAR analysis. Our main findings can be summarized as follows: First, the magnitude, duration, and even direction of response by stock market in a country to oil price shocks highly depend on whether the country is a net importer or exporter in the world oil market, and whether changes in oil price are driven by supply or aggregate demand. Second, the relative contribution of each type of oil price shocks depends on the level of importance of oil to national economy, as well as the net position in oil market and the driving forces of oil price changes. Third, the effects of aggregate demand uncertainty on stock markets in oil-exporting countries are much stronger and more persistent than in oil-importing countries. Finally, positive aggregate and precautionary demand shocks are shown to result in a higher degree of co-movement among the stock markets in oil-exporting countries, but not among those in oil-importing countries.     

Return and volatility spillovers between china and world oil markets

We examine return and volatility spillovers between China and world oil markets. This topic is of great importance because China is the world's second-largest oil importer and has exhibited substantial growth in oil consumption. Extending Diebold and Yilmaz's (2012) method of catching spillover dynamics, it is found that return and volatility spillovers between China and world oil markets are bi-directional and asymmetric. The Chinese oil market is highly affected by world oil markets and exerts an influence on world oil markets, although to a lesser extent. Moreover, the volatility spillover index has increased significantly since the peak of the last financial crisis in September 2008. Although the US oil market impacts China's market most in terms of spillover, the influence of China's oil market on the world oil market has intensified in recent years.     

Oil prices and life satisfaction: asymmetries between oil exporting and oil importing countries

In spite of general consensus on the importance of oil prices for objective measures of economic well-being across countries, almost no research has been carried out to analyse the effects of oil prices on subjective well-being internationally. Using the World Values Survey (2009 World Values Survey 1981–2008 Official Aggregate v.20090901. (2009) World Values Survey Association, Aggregate File Producer: ASEP/JDS, Madrid. Available at www.worldvaluessurvey.org (accessed September 2010). [Google Scholar]), we help fill this gap by studying the effects of oil prices on life satisfaction for two groups of countries, oil importers and oil exporters. Although some previous studies have shown negative effects of oil prices on subjective well-being of one oil importing country the United States, since it is an outlier in terms of dependence on automobiles and in gasoline consumption per capita, these findings may not be representative of other oil importing countries. Our results show that, in fact, oil prices have quite strong negative effects on life satisfaction in a sample of over 40 oil importing countries. By contrast, for oil exporting countries for which there have been virtually no previous quantitative studies, but theoretical analyses suggest the results could be ambiguous, we find strong positive effects on life satisfaction. Hence, our results reveal quite strong asymmetries in the effects of oil prices on life satisfaction between oil importers and oil exporters.     

Firm return volatility and economic gains: The role of oil prices

In this paper we investigate whether the oil price contributes to stock return volatility for 560 firms listed on the NYSE. Using daily data, we find that the oil price is a significant determinant and predictor of firm return variance. We devise trading strategies based on forecasts of firm return variance using the oil prices and historical averages. We find that investors can make substantial gains in returns by using the oil price in forecasting firm return variances.     

News and volatility of food prices

Financial markets exhibit an asymmetric news effect with unexpected low prices generating more price volatility than ‘news’ of high prices. The present study examines US food markets for such asymmetric news effects. Analysis of 25 years of monthly data for 45 retail food items shows that price news destabilizes about a third of the markets with unexpected price increases more destabilizing.     

The relationship between crude oil and gasoline prices

This study investigates the dynamic relationship between crude oil and retail gasoline prices during the last 21 years and determines that, in February 1986, the relationship had drastically changed. Since that date, the results show that gasoline prices include higher profit margins, respond substantially less to changes in crude oil prices(but still within one month), and are more volatile. Also discussed are the developments in crude oil and gasoline markets that have led to the above changes.     

Volatility transmission between oil prices and banks' stock prices as a new source of instability: Lessons from the United States experience

This paper examines whether American banks' exposure to the oil industry could lead to instability in both oil and financial markets. To address this issue, we investigate volatility spillovers between oil prices and the stock prices of the four major American banks involved in the oil industry by employing the vector autoregressive fractionally integrated moving average framework. We use high-frequency data from January 3, 2006, to June 30, 2016. Our results support the existence of such volatility spillovers, as evidenced by the significant volatility responses of oil price (banks' stock price) to a shock in banks' stock price (oil price). These responses, more pronounced following the banks' exposure to the shale industry, mainly reflect the financial fragility of shale companies and their high indebtedness levels. Thus, this paper emphasises how the shale oil industry could trigger turmoil in both oil and financial markets.     

Output volatility,composition of trade,and transmission of economic shocks across countries

In this paper we investigate how supply and demand shocks in one country affect output volatility in other countries. While the evidence for cross‐country transmission of demand shocks is mixed, we find that volatile supply in one country leads to larger imports and output volatility in other countries. As a result, the effect of trade openness on output volatility is highly heterogeneous across countries and depends on the composition of their trade. Those countries whose imports originate in economies with volatile supply experience a greater impact of trade on output volatility.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

Jumps and volatility dynamics in agricultural commodity spot prices

The spot commodities market exhibits both extreme volatility and price spikes, which lead to heavy-tailed distributions of price change and autocorrelation. This article uses various Lévy jump models to capture these features in a panel of agricultural commodities observed between January 1990 and February 2014. The results show that Levy jump models outperform the continuous Gaussian model. Our results prove that assuming a constant volatility or even a deterministic volatility and drift structure of agricultural commodity spot prices is not realistic and is less efficient than the stochastic assumption. The findings demonstrate an interesting correlation between volatility and jumps for a given commodity i, but no relationship between the volatility of commodity i and the probability of jumps of commodity j.     

A common factor of stochastic volatilities between oil and commodity prices

This article analyses the multivariate stochastic volatilities (SVs) with a common factor influencing volatilities in the prices of crude oil and agricultural commodities, used for both biofuel and nonbiofuel purposes. Modelling the volatility is crucial because the volatility is an important variable for asset allocation, risk management and derivative pricing. We develop a SV model comprising a latent common volatility factor with two asymptotic regimes with a smooth transition between them. In contrast to conventional volatility models, SVs are generated by the logistic transformation of latent factors, which comprise two components: the common volatility factor and an idiosyncratic component. We present a SV model with a common factor for oil, corn and wheat from 8 August 2005 to 10 October 2014, using a Markov chain Monte Carlo method to estimate the SVs and extract the common volatility factor. We find that the volatilities of oil and grain markets are persistent. According to the estimated common volatility factor, high volatility periods match the 2007–2009 recession and the 2007–2008 financial crisis quite well. Finally, the extracted common volatility factor exhibits a distinct pattern.     

Income inequality and export prices across countries

This paper provides theory and evidence on the links between income inequality within a destination country and the patterns of trade and export prices. The theoretical framework relates income inequality to product quality and prices using a simple demand composition effect. The model predicts that a more unequal income distribution in a destination country leads to higher average prices, though the effect is nonlinear and disappears for rich enough countries. The predictions are tested using detailed firm‐level data. Controlling for income per capita, prices are systematically higher in more unequal destinations, and the strength of this effect depends on income per capita. Results are particularly important for middle‐income countries and hold only for differentiated goods, and in particular for products with a high degree of vertical differentiation.     

The transmission of world commodity prices to domestic markets under policy reforms in developing countries

This paper examines the degree to which world price signals have been transmitted into domestic prices for eight countries and ten commodities, a total of 31 country/commodity pairs. The main characteristic of these countries was that they all undertook substantial policy reforms during the mid‐1980s to early 1990s. The paper investigates the effect of reforms on the speed at which signals were transmitted to domestic markets and on the extent of price transmission. We find that Chile, Mexico, and Argentina are the only countries whose domestic commodity markets were integrated with world markets. For the remaining cases (Ghana, Madagascar, Indonesia, Egypt, and Colombia) in only a few country/commodity pairs is there some passthrough of world price changes. In terms of the effects of policy reforms, in the majority of the cases the hypothesis of a structural break following the reform year is rejected.     

Natural gas prices and stock prices: Evidence from EU-15 countries

This study investigates the long-run relationship between natural gas prices and stock prices by using the Johansen and Juselius cointegration test and error–correction based Granger causality models for the EU-15 countries. We employ quarterly data covering the period from 1990:1 to 2008:1. Empirical findings suggest that there is a unique long-term equilibrium relationship between natural gas prices, industrial production and stock prices in Austria, Denmark, Finland, Germany and Luxembourg. However, no relationship is found between these variables in the other ten EU-15 countries. Although we detect a significant long-run relationship between stock prices and natural gas prices, Granger causality test results imply an indirect Granger causal relationship between these two variables. In addition, we investigate the Granger causal relationship between stock returns, industrial production growth and natural gas price increase for Austria, Denmark, Finland, Germany and Luxembourg. As a result, increase in natural gas prices seem to impact industrial production growth at the first place. In turn, industrial production growth appears to affect stock returns.     

Inflation volatility and stock prices: Evidence from ARCH effects

This paper examines the impact of inflation uncertainty on stock prices in developed as well as in emerging capital markets over the period 1980:1–93:12 via an Autoregressive Conditional Heteroskedasticity (ARCH) model for inflation. The results seem to support the presence of a negative association between inflation uncertainty and stock prices.The authors would like to thank, without implicating, Gikas Hardouvelis, Costas Karfakis, and especially the discussant of the conference session held in Williasmsburg, Robert C. Winder, for helpful comments and suggestions.     

Modeling volatility and conditional correlations between socially responsible investments,gold and oil

Socially responsible investing (SRI) is one of the fastest growing areas of investing. While there is a considerable literature comparing SRI to various benchmarks, very little is known about the volatility dynamics of socially responsible investing. In this paper, multivariate GARCH models are used to model volatilities and conditional correlations between a stock price index comprised of socially responsible companies, oil prices, and gold prices. The dynamic conditional correlation model is found to fit the data the best and used to generate dynamic conditional correlations, hedge ratios and optimal portfolio weights. From a risk management perspective, SRI offers very similar results in terms of dynamic conditional correlations, hedge ratios, and optimal portfolio weights as investing in the S&P 500. For example, SRI investors can expect to pay a similar amount to hedge their investment with oil or gold as investors in the S&P 500 would pay. These results can help investors and portfolio managers make more informed investment decisions.     

The volatility of prices in the English and Welsh electricity pool

The volatility of spot prices has been a notable feature of the English and Welsh Electricity Pool since its formation in 1990. This study investigates the possibility that the volatility of spot prices is strongly affected by the functioning of the contract market for electricity. This paper suggest that generators with market power may have an incentive to create volatility in the spot market in order to benefit from higher risk premia in the contract market. A simple theoretical model is used to illustrate this argument. Nonparametric techniques are used to test for changes in volatility after the expiry of the coal contracts in 1993 and during the price cap of 1994–1996. Strongly significant increases in volatility are found in the latter period.     

Asset prices and economic fluctuations: The implications of stochastic volatility

This paper investigates whether the multi-factor stochastic volatility of stock returns is related to economic fluctuations and affects asset prices. We address these issues in a dynamic Fama-French three-factor volatility model framework. Consistent with the ICAPM with stochastic volatility (Campbell et al., 2017), we find that the conditional volatility of the size and value factors is significantly related to economic uncertainty. These volatilities are also significant pricing factors. The out-of-sample forecasting analysis further reveals that the conditional volatility can predict stock returns and deliver economic gain in asset allocation. Our analysis sharpens the understanding on the link between the stock market and economic fundamentals.     

Fiscal sustainability,volatility and oil wealth

Whether fiscal policy is sustainable depends on a government’s future revenue and expenditure streams, both of which are highly uncertain. In commodity‐rich countries, this problem is intensified by unpredictable and volatile commodity prices. We show how spending rules for oil income and non‐oil primary deficits interact and influence the stochastic distribution of future debt stocks and demonstrate the variance reducing impact of feedback rules for primary deficits in a case study of oil‐and‐gas exporter Azerbaijan.