Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective

Energy ◽  
2021 ◽  
pp. 122501
Author(s):  
Kai-Hua Wang ◽  
Chi-Wei Su ◽  
Yidong Xiao ◽  
Lu Liu
Keyword(s):  
Quantile Regression ◽  
Oil Price ◽  
Automobile Market

The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach

2020 ◽  
Vol 65 ◽  
pp. 101571 ◽  
Author(s):  
Bisharat Hussain Chang ◽  
Arshian Sharif ◽  
Ameenullah Aman ◽  
Norazah Mohd Suki ◽  
Asma Salman ◽  
...  
Keyword(s):  
Quantile Regression ◽  
Oil Price ◽  
Asymmetric Effects ◽  
Regression Approach ◽  
New Evidence

scholarly journals The Impacts of Non-Fossil Energy, Economic Growth, Energy Consumption, and Oil Price on Carbon Intensity: Evidence from a Panel Quantile Regression Analysis of EU 28

2018 ◽  
Vol 10 (11) ◽  
pp. 4067 ◽  
Author(s):  
Cheng Cheng ◽  
Xiaohang Ren ◽  
Zhen Wang ◽  
Yukun Shi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Quantile Regression ◽  
Oil Price ◽  
Carbon Intensity ◽  
Fossil Energy ◽  
Empirical Results ◽  
Panel Quantile Regression ◽  
Growth Energy ◽  
Quantile Regression Method

This study investigates some determinants of carbon intensity in 28 countries in the European Union (EU), including non-fossil energy, economic growth, energy consumption, and oil price. A panel quantile regression method, which considers both individual heterogeneity and distributional heterogeneity, is applied in this paper. The empirical results imply that the influences of these determinants on carbon intensity are heterogeneous and asymmetric across different quantiles. Specifically, non-fossil energy can significantly decrease carbon intensity, but shows a U-shaped relationship. Economic growth has a negative impact on carbon intensity, especially for medium-emission and high-emission countries. The effects of heating degree days on carbon intensity are positive, although the coefficients are not significant at low quantiles, they become significant from medium quantiles. Besides, we find an inverse U-shaped relationship between crude oil price and carbon intensity. Finally, several relevant policy recommendations are proposed based on the empirical results.

Dependence between oil price changes and sectoral stock returns in Pakistan: Evidence from a quantile regression approach

2021 ◽  
pp. 0958305X2199798
Author(s):  
Mushtaq Hussain Khan ◽  
Junaid Ahmed ◽  
Mazhar Mughal
Keyword(s):  
Quantile Regression ◽  
Crude Oil ◽  
Stock Returns ◽  
Structural Breaks ◽  
Stock Exchange ◽  
Detailed Examination ◽  
Oil Price ◽  
Crude Oil Prices ◽  
Regression Approach ◽  
Relationship Change

This study explores the dependence between changes in world crude oil prices and the performance of the Pakistan Stock Exchange, at the aggregate as well as sectoral levels for the period from July 1997 to December 2016. Quantile regression approach is employed for a detailed examination of the structure and degree of dependence for three sub-periods corresponding to normal, rising, and falling oil price periods. We found that the dependence between changes in crude oil price and the sectoral stock returns is heterogeneous across industries and it exists in both bullish and bearish market trends. The dependence at the upper and lower quantiles is found to be a common feature across industries. Moreover, the dependence and direction of the relationship change at times of structural breaks. The findings highlight an external channel through which fluctuations in stock returns may impede the liquidity of the stock market of an oil-importing country such as Pakistan, thereby affecting the domestic economy.

Sign in / Sign up

Export Citation Format

Share Document