scholarly journals Elucidating the Relationship among EUA Spot Price, Brent Oil Price and Three European Stock Indices

2016 ◽  
Vol 4 (2) ◽  
pp. 53-72 ◽  
Author(s):  
John Wei-Shan Hu ◽  
Yi-Chung Hu ◽  
Jenny Chien
Keyword(s):  
Oil Price ◽  
Spot Price ◽  
Stock Indices ◽  
The Relationship

scholarly journals Effect of Oil Prices Fluctuation on Stock Indices-Comparative Study

2021 ◽  
pp. 80-89
Author(s):  
Ahmed J. Al-Dahlaki ◽  
Ghadhanfer A. Hussein ◽  
Mohammed S. Ahmed
Keyword(s):  
New York ◽  
Saudi Arabia ◽  
Comparative Study ◽  
Financial Markets ◽  
Crude Oil ◽  
Oil Prices ◽  
Oil Price ◽  
Market Index ◽  
Stock Indices ◽  
The Relationship

The study aims to examine the nature of the relationship and the effect of oil price fluctuations on stock indices in the financial markets of exporting and importing countries. For achieving that, the price of Brent crude oil was chosen as an index from the stock markets in Saudi Arabia, Russia and Iraq as oilexporting countries. While the market index was chosen from the markets of New York, Shanghai and Nikkei as an oil importer. The study came out with a set of conclusions and recommendations. The most important is that the degree of response of stock indices to fluctuations in oil prices was greater in exporting countries than in importing countries.

scholarly journals The Effect of Renewable Energy Generation on the Electric Power Spot Price of the Japan Electric Power Exchange

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2215 ◽  
Author(s):  
Jun Maekawa ◽  
Bui Hai ◽  
Sarana Shinkuma ◽  
Koji Shimada
Keyword(s):  
Electric Power ◽  
Panel Data Analysis ◽  
Renewable Energies ◽  
Policy Implications ◽  
Spot Price ◽  
Price Forecast ◽  
Weather Information ◽  
Power Exchange ◽  
Renewable Energy Generation ◽  
The Relationship

This study aims to explore the relationship between renewable energies and the electric power spot price of the Japan Electric Power Exchange (JEPX). By using panel data analysis and proxy modeling, this work attempts to estimate how renewable energies (displayed through the proxies) and other factors influence the electric power spot price in Japan. Based on an analysis of the estimations, some policy implications have been proposed, such as to incorporate weather information into the price forecast, or to provide a guide to more effectively transact on the JEPX.

Exploring the inflationary effect of oil price in the US

2019 ◽  
Vol 13 (1) ◽  
pp. 60-76 ◽  
Author(s):  
Amine Lahiani
Keyword(s):  
Growth Rate ◽  
Structural Breaks ◽  
Oil Prices ◽  
Oil Price ◽  
Inflation Expectations ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Content Type ◽  
The Us ◽  
The Relationship

PurposeThe purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04.Design/methodology/approachThe author uses the Bai and Perron (2003) structural break test to split the data sample into sub-periods delimited by the computed break dates. Afterwards, the author uses the quantile treatment effects over the full sample and then, by including sub-periods dummies to accommodate the selected structural breaks that drive the relationship between inflation and oil price growth.FindingsThe findings include a decreased transmission effect of oil price changes on inflation in recent years; a varied elasticity of inflation to the growth rate of oil prices across the distribution; and, finally, evidence of asymmetry in the relationship between the growth rate of oil prices and inflation, with a higher transmission mechanism for decreasing rather than increasing oil prices.Practical implicationsPolicymakers should remain alert to monitoring potential inflation increases and should take precautionary measures to anchor inflation expectations, because inflation reacts differently to positive and negative oil price shocks. Moreover, authorities should consider the asymmetric reaction of inflation to oil price shocks to adopt an appropriate monetary policy strategy to achieve the price stability target.Originality/valueThe paper used a quantile regression model with structural breaks, which has not yet been used in the literature.

scholarly journals WTI OIL SHOCKS IN EASTERN EUROPEAN STOCK MARKETS: A VAR APPROACH

2021 ◽  
Author(s):  
Rui Dias ◽  
◽  
Hortense Santos ◽  
Paula Heliodoro ◽  
Cristina Vasco ◽  
...  
Keyword(s):  
Stock Markets ◽  
Oil Prices ◽  
Oil Price ◽  
Portfolio Diversification ◽  
Oil Shocks ◽  
Eastern European ◽  
Safe Haven ◽  
Wald Tests ◽  
Stock Indices ◽  
European Stock Markets

The 2020 Russia-Saudi Oil Price War was an economic war triggered in March 2020 by Saudi Arabia in response to Russia’s refusal to reduce oil production to keep oil prices at a moderate level. In view of these events, this study aims to analyze oil shocks (WTI) in the eastern European stock markets, namely the stock indices of Hungary (BUX), Croatia (CROBE), Russia (MOEX), Czech Republic (PRAGUE), Slovakia (SAX 16), Slovenia (SBI TOP), Bulgaria (SOFIX), from September 2019 to January 2021. The results show mostly structural breakdowns in March 2020, while the VAR Granger Causality/Block Exogeneity Wald Tests model shows two-way shocks between oil (WTI) and the stock markets analyzed. These findings show that the hypothesis of portfolio diversification may be called into question. As a final discussion, we consider that investors should avoid investments in stock markets, at least as long as this pandemic last, and rebalance their portfolios into assets considered “safe haven” for the purpose of mitigating risk and improving the efficiency of their portfolios.

scholarly journals Oil price effect on sectoral stock returns: A conditional covariance and correlation approach for Mexico

2020 ◽  
Vol 16 (1) ◽  
pp. 1-15
Author(s):  
Rodrigo A. Morales Fernández Rafaelly ◽  
Roberto J. Santillán-Salgado
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Spillover Effect ◽  
Oil Prices ◽  
Oil Price ◽  
Price Effect ◽  
Stock Market Performance ◽  
Original Contribution ◽  
Bivariate Garch Model ◽  
The Relationship

This paper analyzes the relationship between the volatility of oil price and selected sectoral stock returns in Mexico (industrials, materials, financials and consumer discretionary) by implementing a Diagonal VECH-type bivariate GARCH model in order to estimate conditional covariances and correlations. The econometric results suggest that there exists a statistically significant relationship between sector indices, as well as between Mexico’s aggregate stock exchange returns, and variations in oil prices. Conditional correlations suggest that during most of the analyzed period, the relationship between oil price fluctuations and sectoral stock returns is positive. The recommendation, supported by these results, is that investors should take into consideration the interaction between the analyzed variables in order to generate more robust risk-hedge strategies. An important limitation for this work is information availability at sector level in the country. The original contribution of this paper lies mainly in the analysis of the influence of oil prices over sectoral indices of the Mexican Stock Exchange. These results provide more support to the current that suggests that a price increase in oil has a direct spillover effect on stock market performance.

The Effect of the Relationship Between Oil Price and Stock Markets in Energy Sustainable Countries

2016 ◽  
pp. 123-144
Author(s):  
Şahnaz Koçoğlu ◽  
Mehmet Baha Karan ◽  
Ayhan Kapusuzoğlu
Keyword(s):  
Stock Markets ◽  
Oil Price ◽  
The Relationship

The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain

2020 ◽  
Vol 8 (3) ◽  
pp. 224-239
Author(s):  
Jingjing Li ◽  
Ling Tang ◽  
Ling Li
Keyword(s):  
Crude Oil ◽  
Test Method ◽  
Oil Price ◽  
Spot Price ◽  
Causality Analysis ◽  
Crude Oil Price ◽  
Causality Test ◽  
Low Frequencies ◽  
Oil Market

AbstractWith the boom of web technology, Internet concerns (IC) have become emerging drivers of crude oil price. This paper makes the first attempt to measure the frequency-varying co-movements between crude oil price and IC in five domains (i.e., fundamentals, supply-demand, crisis, war and weather) by using the frequency causality test method. Based on the monthly Brent spot price and search volumes (SVs) captured by Google Trends from January 2004 to September 2019, new and complementary insights regarding the co-movements between crude oil price and IC are obtained. 1) The co-movements between crude oil price and the IC of supply-demand, war, and weather support a neutral hypothesis at all frequencies due to the characteristics (low value or volatility) of these IC data. 2) There is a unidirectional causal relationship between crude oil price and the IC of fundamentals, running from the latter to the former at low frequencies (long-term). 3) There is a feedback relationship between crude oil price and the IC of crisis, with the IC of crisis driving crude oil price at medium and low frequencies (mid- and long-term) and crude oil price causing the IC of crisis to change permanently. The conclusions of this paper provide important implications for both oil market economists and investors.

scholarly journals Does the Development of Bioenergy Exacerbate the Price Increase of Maize?

2019 ◽  
Vol 11 (18) ◽  
pp. 4845
Author(s):  
Zhengyi Dong
Keyword(s):  
Oil Prices ◽  
Food Prices ◽  
Biomass Energy ◽  
Price Increase ◽  
Oil Price ◽  
Price Ratio ◽  
Cost Channel ◽  
The Cost ◽  
The Relationship

The relationship between oil prices and food prices is complex, and maize is the most prominent example. Whether the development of bioenergy will exacerbate the price increase of maize caused by the increasing price of oil is a topic that is attracting great attention. This paper studies the relationship between oil prices and maize prices. First, the effects of the development of biomass energy on maize price in theory is analyzed by constructing a theoretical model that includes the effects of the cost channel and the demand channel, while setting the maize–oil price ratio as a trigger for the demand channel. Then, this paper empirically analyzes the price data. Both theoretical and empirical analyses show the effects of the demand channel in the long term; that is, the effect of the development of bioenergy on maize prices is weak, and maize prices did not increase sharply. The effect of the cost channel is the main cause of the increases in the price of maize and other foods.

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