scholarly journals Crude oil prices and sectoral stock returns in Jordan around the Arab uprisings of 2010

2016 ◽  
Vol 56 ◽  
pp. 205-214 ◽  
Author(s):  
Elie Bouri ◽  
Basel Awartani ◽  
Aktham Maghyereh
Keyword(s):  
Crude Oil ◽  
Stock Returns ◽  
Oil Prices ◽  
Arab Uprisings ◽  
Crude Oil Prices

scholarly journals Dynamic Interrelationship and Volatility Spillover among Sustainability Stock Markets, Major European Conventional Indices, and International Crude Oil

2020 ◽  
Vol 12 (9) ◽  
pp. 3908 ◽  
Author(s):  
Basel Maraqa ◽  
Murad Bein
Keyword(s):  
Crude Oil ◽  
Stock Returns ◽  
Global Financial Crisis ◽  
Oil Prices ◽  
Volatility Spillover ◽  
Socially Responsible ◽  
Crude Oil Prices ◽  
Daily Data ◽  
Oil Markets ◽  
The Global Financial Crisis

This study examines the dynamic interrelationship and volatility spillover among stainability stock indices (SSIs), international crude oil prices and major stock returns of European oil-importing countries (UK, Germany, France, Italy, Switzerland and The Netherlands) and oil-exporting countries (Norway and Russia). We employ the DCC-MGARCH model and use daily data for the sample period from 28 September 2001 to 10 January 2020. We find that the dynamic interrelationship between SSIs, stock returns of European oil importing/exporting countries and oil markets is different. There is higher correlation between SSIs and oil-importing countries, while oil-exporting countries have higher correlation with the oil market. Notably, the correlation between oil and stock returns became higher during and after the global financial crisis. This study also reveals the existence of significant volatility spillover between sustainability stock returns, international oil prices and the major indices of oil importing/exporting countries. These results have important implications for investors who are seeking to hedge and diversify their assets and for socially responsible investors.

The dynamic information spill-over effect of WTI crude oil prices on China’s traditional energy sectors

2018 ◽  
Vol 10 (3) ◽  
pp. 516-534 ◽  
Author(s):  
Yue-Jun Zhang ◽  
Yao-Bin Wu
Keyword(s):  
Crude Oil ◽  
Stock Returns ◽  
Oil Prices ◽  
Petroleum Processing ◽  
Time Varying ◽  
Causality Test ◽  
Content Type ◽  
Market Values ◽  
Crude Oil Prices ◽  
Linear And Nonlinear

PurposeThe purpose of this paper is to explore the dynamic influence of WTI crude oil returns on the stock returns of China’s traditional energy sectors, including oil and gas exploitation, coal mining and processing, petroleum processing and coking, electricity, heat production and supply and mining services.Design/methodology/approachHong’s information spill-over test and the DP Granger causality test are applied to investigate the relationship between the two markets. Moreover, a rolling window is introduced into the above two tests to capture time-varying characteristics of the influence of WTI crude oil returns.FindingsThe empirical results indicate that, first, there exists significant bidirectional linear causality between WTI crude oil returns and China’s traditional energy sectoral stock returns, but the nonlinear causality appears weaker. Second, the influence of WTI crude oil returns on traditional energy sectoral stock returns has time-varying characteristics and industry heterogeneity both in the linear and nonlinear cases. Finally, the decline of WTI crude oil prices may strengthen its linear influence on the stock returns of traditional energy sectors, while the excessive rise of market values in traditional energy sectors may weaken the linear and nonlinear influence of WTI on them.Originality/valueThe general nexus between international crude oil market and China’s traditional energy stock market is explored both in the linear and nonlinear perspectives. In particular, the dynamic linear and nonlinear influence of WTI crude oil returns on China’s traditional energy sectoral stock returns and its industry heterogeneity are analysed in detail.

VOLATILITY OF CRUDE OIL PRICES, FOREIGN EXCHANGE EXPOSURES, AND COMPANY’S PERFORMANCE: EMPIRICAL EVIDENCE FROM TAIWANESE 3PL INDUSTRY

2018 ◽  
Vol 6 (1) ◽  
pp. 53-60
Author(s):  
Hsiao Chiu-Ming ◽  
Chen Chih-Hung ◽  
Lin Chun-Hsuan ◽  
Fang Bo-Wei ◽  
Tang Yen-Ju ◽  
...  
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Stock Returns ◽  
Foreign Exchange ◽  
Negative Impact ◽  
Oil Prices ◽  
Foreign Exchange Rate ◽  
Firm Level ◽  
Crude Oil Prices ◽  
The Impact

Purpose of the study: In this paper, we investigate the impact of the changes in crude oil prices and fluctuation of foreign exchange rate on the operating performances of Taiwanese 3PL industry.Methodology: Vector Autoregression Models. Through the empirical model, we find that all the 3PL companies are more suffered to the volatility of WTI and Dubai crude oil prices, but Dubai is insignificant to the warehousing companies. In the fluctuations of foreign exchange rate, some have positive effect and some are negative.Main Findings: All the Taiwanese 3PL companies are more suffered to the volatility of WTI and Dubai crude oil prices, however Dubai is insignificant to the warehousing companies. Moreover, we find an interesting result, that is, for some companies operating performance, the impact on the volatilities of crude oil have the same sign but in opposite direction. For example, in our empirical results, the stock returns are positively correlated to volatilities of Dubai and Brent crude oil prices, however, WTI’s volatility has negative impact on them.Implications: It implies that the company can make a “natural hedge” strategy to hedge the crude oil volatility risk by forming a portfolio which pools these three commodities together. In this way, we made recommendations to the company’s decision-making reminding that the company should make a portfolio of foreign exchange and crude oil price fluctuations in the hedge strategy to enhance the company’s risk management operations and to reduce the loss caused by these factors.Novelty/Originality of this study: This study contributes in the existing literature for an empirically study of a firm-level evidence from Taiwanese 3PL companies.

Predicting stock returns using crude oil prices: A firm level analysis of Nigeria's oil and gas sector

2020 ◽  
Vol 68 ◽  
pp. 101708
Author(s):  
Wasiu Adekunle ◽  
Abubakar M. Bagudo ◽  
Monsuru Odumosu ◽  
Suraj B. Inuolaji
Keyword(s):  
Crude Oil ◽  
Stock Returns ◽  
Oil And Gas ◽  
Oil Prices ◽  
Firm Level ◽  
Crude Oil Prices ◽  
Oil And Gas Sector ◽  
Level Analysis

scholarly journals Nexus between crude oil prices, clean energy investments, technology companies and energy democracy

Green Finance ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 337-350
Author(s):  
Caner Özdurak ◽  
Keyword(s):  
Crude Oil ◽  
Stock Returns ◽  
Technology Development ◽  
Oil Prices ◽  
Clean Energy ◽  
Oil Price ◽  
Oil Futures ◽  
Company Stock ◽  
Volatility Index ◽  
Crude Oil Prices

<abstract> <p>In this study, we examine the nexus between crude oil prices, clean energy investments, technology companies, and energy democracy. Our dataset incorporates four variables which are S &amp; P Global Clean Energy Index (SPClean), Brent crude oil futures (Brent), CBOE Volatility Index (VIX), and NASDAQ 100 Technology Sector (DXNT) daily prices between 2009 and 2021. The novelty of our study is that we included technology development and market fear as important factors and assess their impact on clean energy investments. DCC-GARCH models are utilized to analyze the spillover impact of market fear, oil prices, and technology company stock returns to clean energy investments. According to our findings when oil prices decrease, the volatility index usually responds by increasing which means that the market is afraid of oil price surges. Renewable investments also tend to decrease in that period following the oil price trend. Moreover, a positive relationship between technology stocks and renewable energy stock returns also exists.</p> </abstract>

An Empirical Investigation of Factors Affecting Stock Prices in Vietnam

2014 ◽  
pp. 74-89 ◽  
Author(s):  
Vinh Vo Xuan
Keyword(s):  
Exchange Rates ◽  
Crude Oil ◽  
Foreign Exchange ◽  
Stock Prices ◽  
Global Financial Crisis ◽  
Oil Prices ◽  
Foreign Exchange Rates ◽  
Factors Affecting ◽  
Crude Oil Prices ◽  
Before And After

This paper investigates factors affecting Vietnam’s stock prices including US stock prices, foreign exchange rates, gold prices and crude oil prices. Using the daily data from 2005 to 2012, the results indicate that Vietnam’s stock prices are influenced by crude oil prices. In addition, Vietnam’s stock prices are also affected significantly by US stock prices, and foreign exchange rates over the period before the 2008 Global Financial Crisis. There is evidence that Vietnam’s stock prices are highly correlated with US stock prices, foreign exchange rates and gold prices for the same period. Furthermore, Vietnam’s stock prices were cointegrated with US stock prices both before and after the crisis, and with foreign exchange rates, gold prices and crude oil prices only during and after the crisis.

Determinants of Inflation in Vietnam: A VECM Approach

2015 ◽  
Vol 22 (04) ◽  
pp. 26-50
Author(s):  
Ngoc Tran Thi Bich ◽  
Huong Pham Hoang Cam
Keyword(s):  
Interest Rate ◽  
Crude Oil ◽  
Error Correction ◽  
Budget Deficit ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
Domestic Credit ◽  
Short Run ◽  
The Impact

This paper aims to examine the main determinants of inflation in Vietnam during the period from 2002Q1 to 2013Q2. The cointegration theory and the Vector Error Correction Model (VECM) approach are used to examine the impact of domestic credit, interest rate, budget deficit, and crude oil prices on inflation in both long and short terms. The results show that while there are long-term relations among inflation and the others, such factors as oil prices, domestic credit, and interest rate, in the short run, have no impact on fluctuations of inflation. Particularly, the budget deficit itself actually has a short-run impact, but its level is fundamentally weak. The cause of the current inflation is mainly due to public's expectations of the inflation in the last period. Although the error correction, from the long-run relationship, has affected inflation in the short run, the coefficient is small and insignificant. In other words, it means that the speed of the adjustment is very low or near zero. This also implies that once the relationship among inflation, domestic credit, interest rate, budget deficit, and crude oil prices deviate from the long-term trend, it will take the economy a lot of time to return to the equilibrium state.

Dynamic Relationship between Crude Oil and Stock Prices in India: Before And After the Subprime Financial Crisis 2008

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu
Keyword(s):  
Financial Crisis ◽  
Crude Oil ◽  
Stock Prices ◽  
Oil Prices ◽  
Energy Index ◽  
Data Set ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run ◽  
Before And After

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.

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