The (time-varying) Importance of Oil Prices to U.S. Stock Returns: A Tale of Two Beauty-Contests

2020 ◽  
Vol 41 (01) ◽  
Author(s):  
David C. Broadstock ◽  
George Filis
Keyword(s):  
Stock Returns ◽  
Oil Prices ◽  
Time Varying ◽  
Beauty Contests

scholarly journals The time-varying effects of oil prices on oil–gas stock returns of the fragile five countries

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Begüm Yurteri Kösedağlı ◽  
Gül Huyugüzel Kışla ◽  
A. Nazif Çatık
Keyword(s):  
Stock Returns ◽  
Positive Impact ◽  
Structural Break ◽  
Oil Prices ◽  
Time Varying ◽  
Asset Pricing Model ◽  
Daily Data ◽  
Structural Break Test ◽  
The Impact ◽  
Oil Gas

AbstractThis study analyzes oil price exposure of the oil–gas sector stock returns for the fragile five countries based on a multi-factor asset pricing model using daily data from 29 May 1996 to 27 January 2020. The endogenous structural break test suggests the presence of serious parameter instabilities due to fluctuations in the oil and stock markets over the period under study. Moreover, the time-varying estimates indicate that the oil–gas sectors of these countries are riskier than the overall stock market. The results further suggest that, except for Indonesia, oil prices have a positive impact on the sectoral returns of all markets, whereas the impact of the exchange rates on the oil–gas sector returns varies across time and countries.

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.

scholarly journals Oil Prices, Exchange Rates and Sectoral Stock Returns in the BRICS-T Countries: A Time-Varying Approach

2021 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Abdurrahman Nazif Catik ◽  
‪Gül Şerife Huyugüzel Kışla ◽  
Mohamad Husam Helmi ◽  
Coskun Akdeniz
Keyword(s):  
Exchange Rates ◽  
Stock Returns ◽  
Oil Prices ◽  
Time Varying

Time-varying impact of oil prices on sectoral stock returns: Evidence from Turkey

2020 ◽  
Vol 69 ◽  
pp. 101845
Author(s):  
Abdurrahman Nazif Çatık ◽  
Gül Huyugüzel Kışla ◽  
Coşkun Akdeni̇z
Keyword(s):  
Stock Returns ◽  
Oil Prices ◽  
Time Varying

scholarly journals Dynamic Spillover Between The Oil And Stock Markets Of Emerging Oil-Exporting Countries

2013 ◽  
Vol 30 (1) ◽  
pp. 51 ◽  
Author(s):  
Frederic Teulon ◽  
Khaled Guesmi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
United Arab Emirates ◽  
Stock Markets ◽  
Oil Prices ◽  
Multivariate Garch ◽  
Time Varying ◽  
Global Business ◽  
Stock Market Returns ◽  
Volatility Spillovers

<p>The paper investigates the time-varying correlations between stock market returns and oil prices in oil-exporting countries. A multivariate GARCH-DCC process is employed to evaluate this relationship based on data from Venezuela, the United Arab Emirates, Saudi Arabia and Kuwait. The results show that there are time-varying correlations between the oil and stock markets in emerging, oil-producing countries, indicating that they are affected by conditions in world markets. In addition, the relationship between oil prices and stock returns is found to be influenced by the origin of shocks to oil prices, with stock market responses being stronger to demand-side shocks caused by political turmoil or fluctuations in the global business cycle than to supply-side shocks caused by cuts in oil production. The results also provide evidence of volatility spillovers between the oil and stock markets.</p>

scholarly journals Oil Prices and Global Stock Markets: A Time-Varying Causality-In-Mean and Causality-in-Variance Analysis

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2848 ◽  
Author(s):  
Emrah Çevik ◽  
Erdal Atukeren ◽  
Turhan Korkmaz
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Granger Causality ◽  
Oil Prices ◽  
Causal Link ◽  
Oil Price ◽  
Time Varying ◽  
G7 Countries ◽  
Price Movements ◽  
Global Stock

This study examines the Granger-causal relationships between oil price movements and global stock returns by using time-varying Granger-causality tests in mean and in variance. We use the daily returns from Morgan Stanley Capital International (MSCI) G7 and the MSCI Emerging Stock Market Indexes to distinguish between the effects of daily oil price movements on G7 countries’ and emerging market countries’ stock markets. We further divide the emerging markets into two groups as oil-exporting and oil-importing countries. For the oil market, we use both the West Texas Intermediate (WTI) and Brent oil daily price movements. While the Granger-causality-in-mean tests indicate a causal link from WTI oil prices and G7 countries’ stock returns to MSCI emerging countries’ stock returns, the Granger-causality-in-variance tests suggest no causal link from global oil market prices to stock market returns. Nonetheless, a causal link from the G7 countries’ stock returns to the MSCI emerging countries’ stock returns is detected. In addition, G7 countries’ stock market volatility is found to Granger-cause Brent oil price volatility. The time-varying Granger-causality-in-mean and Granger-causality-in-variance tests present new and further insights. A causal relationship between oil price changes and G7 countries’ stock returns is found for some periods during and after the global financial crisis. Time-varying Granger-causality-in-variance test results indicate evidence of causal linkages among oil prices and global stock market returns that are specific only to certain time periods. We also find that there might be a difference between the movements in Brent and WTI oil prices with respect to their Granger-causal effects on oil-importing emerging markets’ stock returns—especially after the global financial crisis. Our results provide further evidence that the effects of oil price movements on stock returns might be different depending on the volatility in the stock markets.

Time-varying persistence in real oil prices and its determinant

2020 ◽  
Vol 85 ◽  
pp. 104328 ◽  
Author(s):  
Robinson Kruse ◽  
Christoph Wegener
Keyword(s):  
Oil Prices ◽  
Time Varying

scholarly journals Bayesian analysis of time-varying interactions between stock returns and foreign equity flows

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Boubekeur Baba ◽  
Güven Sevil
Keyword(s):  
Stock Returns ◽  
Negative Feedback ◽  
Positive Feedback ◽  
Positive Response ◽  
Time Varying ◽  
Economic Uncertainty ◽  
Foreign Investors ◽  
New Findings ◽  
Net Flows ◽  
Feedback Trading

AbstractThis study discusses the trading behavior of foreign investors with respect to economic uncertainty in the South Korean stock market from a time-varying perspective. We employ a news-based measure of economic uncertainty along with the model of time-varying parameter vector autoregression with stochastic volatility. The empirical analysis reveals several new findings about foreign investors’ trading behaviors. First, we find evidence that positive feedback trading often appears during periods of high economic uncertainty, whereas negative feedback trading is exclusively observable during periods of low economic uncertainty. Second, the foreign investors’ feedback trading appears mostly to be well-timed and often leads the time-varying economic uncertainty except in periods of global crises. Third, lagged negative (positive) response of net flows to economic uncertainty is found to be coupled with lagged positive (negative) feedback trading. Fourth, the study documents an asymmetric response of foreign investors with regard to negative and positive shocks of economic uncertainty. Specifically, we find that they instantly turn to positive feedback trading after a negative contemporaneous response of net flows to shocks of economic uncertainty. In contrast, they move slowly toward negative feedback trading after a positive response of net flows to uncertainty shocks.

scholarly journals The Dynamic Impacts of the COVID-19 Pandemic on Log Prices in China: An Analysis Based on the TVP-VAR Model

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 449
Author(s):  
Chenlu Tao ◽  
Gang Diao ◽  
Baodong Cheng
Keyword(s):  
Exchange Rate ◽  
Structural Changes ◽  
Raw Materials ◽  
Supply And Demand ◽  
Oil Prices ◽  
Control Measures ◽  
Var Model ◽  
Time Varying ◽  
Wood Industry ◽  
The Impact

China’s wood industry is vulnerable to the COVID-19 pandemic since wood raw materials and sales of products are dependent on the international market. This study seeks to explore the speed of log price recovery under different control measures, and to perhaps find a better way to respond to the pandemic. With the daily data, we utilized the time-varying parameter autoregressive (TVP-VAR) model, which can incorporate structural changes in emergencies into the model through time-varying parameters, to estimate the dynamic impact of the pandemic on log prices at different time points. We found that the impact of the pandemic on oil prices and Renminbi exchange rate is synchronized with the severity of the pandemic, and the ascending in the exchange rate would lead to an increase in log prices, while oil prices would not. Moreover, the impulse response in June converged faster than in February 2020. Thus, partial quarantine is effective. However, the pandemic’s impact on log prices is not consistent with changes of the pandemic. After the pandemic eased in June 2020, the impact of the pandemic on log prices remained increasing. This means that the COVID-19 pandemic has long-term influences on the wood industry, and the work resumption was not smooth, thus the imbalance between supply and demand should be resolved as soon as possible. Therefore, it is necessary to promote the development of the domestic wood market and realize a “dual circulation” strategy as the pandemic becomes a “new normal”.

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