WTI, Brent or implied volatility index: Perspective of volatility spillover from oil market to Chinese stock market.

This study investigates the impact of oil market uncertainty on the volatility of Chinese sector indexes. We utilize commonly used realized volatility of WTI and Brent oil price along with the CBOE crude oil volatility index (OVX) to embody the oil market uncertainty. Based on the sample span from Mar 16, 2011 to Dec 31, 2019, this study utilizes vector autoregression (VAR) model to derive the impacts of the three different uncertainty indicators on Chinese stock volatilities. The empirical results show, for all sectors, the impact of OVX on sectors volatilities are more economically and statistically significant than that of realized volatility of both WTI and Brent oil prices, especially after the Chinese refined oil pricing reform of March 27, 2013. That implies OVX is more informative than traditional WTI and Brent oil prices with respect to volatility spillover from oil market to Chinese stock market. This study could provide some important implications for the participants in Chinese stock market.

Inquiring asymmetric effects of oil prices, money supply, and domestic debt on consumer prices: an empirical evidence from Pakistan.

Oil prices (OP) may play a significant role in determining inflation in any oil-importing economy and could have an asymmetrical effect as well. Thus, this paper aims to explore the asymmetric influence of OP, broad money supply (BMS), and domestic debt (DD) on the Consumer Price Index (CPI) in the oil-importing economy of Pakistan using the nonlinear autoregressive distributive lag (NARDL) methodology on an annual sample from 1980 to 2021. The long-run results show that increasing OP and BMS have a positive effect on CPI. Similarly, decreasing OP and BMS have a positive effect on CPI. So, increasing OP and BMS is raising price levels, and decreasing OP and BMS is reducing price levels. OP has a positive and symmetrical effect on CPI. However, the BMS has a positive but asymmetrical effect on CPI. Furthermore, the effect of decreasing BMS is found greater than increasing BMS. Moreover, the effect of DD on CPI is also found asymmetrical. The increasing DD has a positive effect, and decreasing DD has a negative effect on CPI. The most of short-run results follow the long-run results. However, energy usage shows a negative effect on CPI in the short run, which is insignificant in the long-run results. This study recommends controlling the money supply and oil prices to reduce consumer prices.

Effect of oil price shocks on output and prices: evidence from Saudi Arabia.

The primary objective of this article is to estimate how the spike in oil prices has impacted Saudi Arabia's output and other macroeconomic indicators. To address this question, the study utilizes a simple VAR estimation and VAR estimation with sign restrictions, specifically an oil demand shock and an oil supply shock, to determine the influence of oil price shocks. The study's findings are consistent with conventional wisdom and current research from oil-exporting countries. Consistent with all model specifications for both periods (monthly 2010q1 to 2020q2 and quarterly 1996q1 to 2020q2), the study finds that an oil price shock benefits the Saudi Arabian economy. The results indicate that a 10% increase in oil prices leads to a 2% increase in output, a 0.15 percentage point increase in the consumer price index, a 6% increase in export value, and a 3% increase in import value. The study highlights the importance of considering both oil supply and demand shocks in analyzing the impact of oil price fluctuations and concludes that the demand shock is more influential than the supply shock.

Forecasting the realized variance of oil-price returns: a disaggregated analysis of the role of uncertainty and geopolitical risk.

We contribute to the empirical literature on the predictability of oil-market volatility by comparing the predictive role of aggregate versus several disaggregated metrics of policy-related and equity-market uncertainties of the USA and geopolitical risks for forecasting the future realized volatility of oil-price (WTI) returns over the monthly period from 1985:01 to 2021:08. Using machine-learning techniques, we find that adding the disaggregated metrics to the array of predictors improves the accuracy of forecasts at intermediate and long forecast horizons, and mainly when we use random forests to estimate our forecasting model.

The asymmetric and multi-scale volatility correlation between global oil price and economic policy uncertainty of China.

With the monthly data of WTI oil price and economic policy uncertainty (EPU) of China from January 2000 to August 2020, this paper detailedly investigates the asymmetric volatility correlations between two types of EPU of China and global oil price in different time scales. The empirical results demonstrate that the volatility correlation between EPU of China and West Texas Intermediate (WTI) oil price is mainly reflected in the monetary policy uncertainty (MPU), while that of fiscal policy uncertainty (FPU) is much weaker. Specifically speaking, the volatility correlation between MPU of China and downward WTI oil price is significantly negative in the short-middle term (4-8 months) and changes to positive in the middle-long term (8-16 months), while that of upward WTI oil price is only significantly positive in the long term (16-32 months). Our findings provide a deeper understanding of the oil price-EPU correlation in China, and can be valuable guidance for diversified market participants such as government policy-makers and global investors.

Appraising the oil-stock nexus during the COVID-19 pandemic shock: a panel threshold analysis.

We examine the oil-stock nexus in 24 countries amidst the COVID-19 pandemic and test for threshold effects on oil prices using Hansen (1999) panel dynamic threshold model and recent extensions of Kremer et al. (2013) and Seo and Shin (2016). We find evidence of nonlinearities and threshold effects in oil prices. As an addition to literature, our estimated model shows that stock market prices react in a regime-style manner, when the joint effects of oil prices, exchange rate changes, number of reported cases, and the number of death due to COVID-19 pandemic are analyzed. This is in support of the theoretical model of investor sentiment by Barberis et al. (1998). Therefore, we are of the opinion that policymakers, governments, and investors in their business decision-making process should put into consideration and also observe changes in the global reported cases alongside the number of deaths and how oil prices are evolving, as the global economy is further affected by the COVID-19 pandemic shock.

Return and volatility transmission between oil price shocks and agricultural commodities.

This paper studies the connectedness between oil price shocks and agricultural commodities. Our sample period ranges from January 2002 to July 2020, covering the three global crises; Global Financial Crisis, the European sovereign debt crisis and Covid-19 pandemic crisis. We employ Granger causality tests, and the static and dynamic connectedness spillover index methodology. We find that the shocks in oil prices are Granger-caused mainly by price changes of grains, live cattle, and wheat, while supply shock granger causes variations mostly in grain prices. We find that, from the point of view of static connectedness, for both, price and volatility spillovers, the livestock is the largest transmitter, while the lean hogs are the major receiver. Our dynamic analysis evidences that connectedness increases during the financial crisis period. Our results are potentially useful for investors, portfolios managers and policy makers.

COVID-19 Deaths Cases Impact on Oil Prices: Probable Scenarios on Saudi Arabia Economy.

The purpose of this paper is to discuss death cases on the World, exacerbated investor fears, uncertainties, and increased volatility of crude oil prices in financial markets. The reaction absorbed the epidemic gradually until January 22. Still, the market situation changed soon with a sharp drop in prices, and prices slowly recovered after that until June 14. The data of this research using an econometric model, the ARDL (Autoregressive Distributed Lag), according to the Gets methodology, using daily data, January 22 -June 14, 2020. Our ARDL shows, the death ratio has a significant negative effect on oil price dynamics. However, the death ratio has an indirect impact on volatility in Crude Oil prices. The findings show that the death toll of COVID-19 has a significant impact on oil prices in Saudi Arabia (KSA). However, the preliminary results mainly influence by the situation reported in the USA. When we assess the case outside the USA, and we see the positive effect of the COVID-19 death figures on oil prices, therefore, stress the amplification of death-related risks to the financial market and the real economy, caused by increased, policy-induced economic uncertainty in the United States.

Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses.

This paper examines the sentiment spillovers among oil, gold, and Bitcoin markets by employing spillovers index methods in a time-frequency framework. We find that the total sentiment spillover among crude oil, gold and Bitcoin markets is time-varying and is greatly affected by major market events. The directional sentiment spillovers are also time-varying. On average, the Bitcoin market is the major transmitter of directional sentiment spillovers, whereas the crude oil and gold markets are the major receivers. In particular, the sentiment spillover effects are major created at high-frequency components, implying that the markets rapidly process the sentiment spillover effects and the shock is transmitted over the short-term. Moreover, we also find that the sentiment spillover effects differ significantly in term of intensity and direction when compared with return and volatility spillover effects. The present study has certain applications for investors and policymakers.

Dynamic interactions between oil price and exchange rate.

This paper contributes to better understand the dynamic interactions between effective exchange rate (EER) and oil price for an oil-importing country like the U.S. by considering a Time-Varying Parameter VAR model with the use of monthly data from 1974:01 to 2019:07. Our findings show a depreciation after an oil price shock in the short-run for any period of time, although the pattern of long-run responses of U.S. EER is diverse across time periods, with an appreciation being observed before the mid-2000s and after the mid-2010s, and a depreciation between both periods. This diversity of response should lead policy makers to react differently in order to counteract such shocks. Furthermore, the reaction of oil price to an appreciation of U.S. EER is negative and different over time, which may generate different adverse effects on investment. The knowledge of such effects may help financial investors to diversify their investments in order to optimize the risk-return profile of their portfolios.

Relationship between uncertainty in the oil and stock markets before and after the shale gas revolution: Evidence from the OVX, VIX, and VKOSPI volatility indices.

We investigate the relationship between crude oil prices and stock markets. Unlike prior studies, we use implied volatility indices and evaluate the change in the relationship between the volatility indices through a sub-period analysis. Specifically, we examine the causal relationships among the crude oil, S&P 500 index, and KOSPI 200 index volatilities by using the autoregressive distributed lag (ARDL) bounds and the Toda-Yamamoto Granger causality tests. In addition, a BEKK-GARCH model is employed to enhance the robustness of the causality test results. These experiments indicate that the OVX and VIX show bi-directional causality in the period that includes the shale gas revolution and no causality in the period that does not. Further, the OVX Granger causes the VKOSPI in the former period, but there is no causality between them in the latter period. Finally, we find strong unidirectional causality from the VIX to the VKOSPI in both sub-periods. These results have important implications for the analysis of portfolio risk management and for assisting energy policymakers and traders in making effective decisions and investments, respectively.

Metacognitive Octonion-Valued Neural Networks as They Relate to Time Series Analysis.

In this paper, a metacognitive octonion-valued neural network (Mc-OVNN) learning algorithm and its application to diverse time series prediction are presented. The Mc-OVNN is comprised of two components: the octonion-valued neural network that represents the cognitive component and the metacognitive component that serves to self-regulate the learning algorithm. At each epoch, the metacognitive component decides if, how, and when learning occurs. The algorithm deletes unneeded samples and only stores those that will be used. This decision is determined by the octonion magnitude and the seven phases. To evaluate the Mc-OVNN algorithm's performance, it is applied to five real-world forecasting problems: the power consumption of a home in Honolulu, HI, USA, Box and Jenkins J series, Euro to Algerian Dinar (DZ) real-time conversion rates, the Mackey-Glass equation, and Europe Brent oil price prediction in a time series. When comparing the Mc-OVNN to other relevant techniques, Mc-OVNN displays its capability for efficient time series prediction. The real-time evaluation of the proposed algorithm is presented using the power consumption of a home in Boumerdès, Algeria, as a case study.

Oil price shocks, economic policy uncertainty and industrial economic growth in China.

This paper combines a Granger causality test and a VAR model to investigate the relationships among oil price shocks, global economic policy uncertainty (GEPU), and China's industrial economic growth. Based on monthly data from 2000 to 2017, we reveal that GEPU and world oil prices jointly Granger cause China's industrial economic growth; world oil prices have a positive effect on China's industrial economic growth, while GEPU has a negative effect. Further analyses investigate the asymmetry effect of oil prices and find that the negative component shows a more significant impact on China's industrial economic growth. The results are robust to different oil price and EPU proxies.

An econometric analysis of inter-fuel substitution in energy sector of Pakistan.

Hydroelectricity is playing a significant role in lowering CO2 emissions as it contributes a desirable platform to fulfill the growing energy demand while releasing fewer GHGs in comparison to other fossil fuels. Utilizing the trans-log production model, this study is an endeavor to investigate the potential inter-fuel substitution by estimating the substitution elasticity between pairs of coal, natural gas, petroleum, and hydroelectricity to suggest policy for Pakistan to achieve higher economic growth, environmental sustainability, and increased energy access by its citizens. Over the period 1980-2013, the ridge regression was approved to estimate the model's parameters. The findings show that the output elasticity of hydroelectricity is the highest and all the factor inputs are substitutes; whereas, the elasticity of substitution between coal vs. natural gas is the highest, thus suggesting an increased focus on the coal extraction to switch from the alternative usage of gas. Moreover, encouragement of energy subsidy programs, coupled with taxes and infrastructural developments, can be adapted to redirect technology towards hydroelectricity. Hence, the result that hydroelectricity is substituted for all fuels submit that Pakistan has the potential to switch from petroleum to cleaner energy; therefore, reducing the adverse environmental implications and to retain the ability to fuel its energy sector.

Volatility of the alternative energy input prices and spillover effects: a VAR [MA]-MGARCH in BEKK approach for the Turkish economy.

The interaction among the energy unit prices, which are considered as the most effective factor on the realization of economic growth, and the distribution of this interaction throughout the manufacturing process have become popular subjects in research recently. Especially, the scarcity of energy resources and the problems encountered in their supply make it necessary to utilize alternative energy resources. Thus, the realization of production using different energy inputs simultaneously results in an interaction between the factors and the spillover effect. Thus, in the study, alternative vector autoregressive M-GARCH (VAR [-MA] -MGARH) models would be predicted based on the spillover effect between the conditional variance and alternative energy input prices.

The environmental Kuznets curve by considering asymmetric oil price shocks: evidence from the top two.

This study is the first attempt to investigate the validity of the environmental Kuznets curve (EKC) hypothesis by considering the asymmetric oil price effects on the CO2 emission in the USA and China. The oil prices were incorporated as an indicator (proxy) of energy consumption in order to avoid potential endogeneity problems and allow exploring the asymmetric effects of the energy fluctuation on the CO2 release. The nonlinear autoregressive distributed lag (NARDL)-bound testing approach to cointegration of Shin et al. (2014) in the presence of structural break is used to identify both short-run and long-run dynamic relationships between real oil prices, per capita GDP, and per capita CO2 emissions over the period 1976-2013. The results indicate that the inverted U-shaped EKC hypothesis is not supported in the short and long terms in both countries. Asymmetric findings suggest that positive and negative fluctuations in crude oil prices affect CO2 emissions differently in the USA and China. Unlike China, rising energy prices in the USA could be a contributing factor in the fight against pollution. More taxation of fossil energy and renewable energy subsidies are recommended for the American economy. However, the growth priority seems to outweigh the environmental issue for the Chinese economy.

Re-assessing causality between energy consumption and economic growth.

The energy consumption-growth nexus has been widely studied in the empirical literature, though results have been inconclusive regarding the direction, or even the existence, of causality. These inconsistent results can be explained by two important limitations of the literature. First, the use of bivariate models, which fail to detect more complex causal relations, or the ad hoc approach to selecting variables in a multivariate framework; and, second, the use of linear causal models, which are unable to capture more complex nonlinear causal relationships. In this paper, we aim to overcome both limitations by analysing the energy consumption-growth nexus using a Flexible Fourier form due to Enders and Jones (2016). The analysis focuses on the US over the period 1949 to 2014. From our results we can conclude that, where the linear methodology supports the neutrality hypothesis (no causality between energy consumption and growth), the Flexible Fourier form points to the existence of causality from energy consumption to growth. This is contrary to the linear analysis, suggesting that lowering energy consumption would adversely affect US economic growth. Thus, by employing the Flexible Fourier form we find the conclusions can be quite different.

An event study analysis of price adjustment of refined oil and air quality in China.

Since marketization of the refined oil price, the Chinese government has used refined oil price adjustments to control air pollution. Using an event study analysis, we examine whether these price adjustments have impacted air quality. We test the abnormal returns of 12 price adjustments between 2014 and 2015 in 51 major cities of China. The results show that the impact on air quality of refined oil price decreases is larger than the impact of oil price increases. Although results indicate air quality has deteriorated, the impact is insignificant for most of the cities. Consequently, we conclude that price suspension of refined oil has had a negligible impact on air quality. This policy is not a viable method to improve the air quality in the short run.

The moderating role of oil price changes in the effects of service trade and tourism on growth: the case of Turkey.

The aim of this study is to examine the role of oil price changes in the effects of services trade and tourism on real income growth in Turkey. Time series analysis using the 1960-2017 annual period has been adapted with this respect. Results confirm the long-term impacts of tourism and services trade sectors on real income growth in Turkey. Tourism and trade (both services and manufacturing) exert positively significant effects on the long-term performance of macroeconomic activity as measured by gross domestic product. Oil prices negatively impact on real income growth of Turkey. It is also found that oil prices negatively moderate the effects of foreign trade, services trade, and tourism on real income growth in Turkey. This finding reveals that significant effects of foreign trade, services trade, and tourism on real income are negatively influenced from oil price changes.