Asymmetric impact of oil price shocks on inflation: Evidence from quantile-on-quantile regression

被引:4
|
作者
Ge, Zhenyu [1 ]
Sun, Yang [1 ]
机构
[1] Xiangtan Univ, Business Sch, Xiangtan, Hunan, Peoples R China
关键词
Oil price shocks; Inflation; Asymmetric impact; Quantile-on-quantile regression; INTEREST-RATES; MONEY GROWTH; GASOLINE PRICES; SUPPLY SHOCKS; PASS-THROUGH; CHINA; DEMAND; MACROECONOMY; UNCERTAINTY; VOLATILITY;
D O I
10.1016/j.irfa.2024.103097
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this paper, we explore the asymmetric impact of different oil price shocks on inflation after decomposing the shocks into supply shocks, demand shocks, and risk shocks. Using the quantile-on-quantile regression (QQR) approach, we reveal that when inflation is positive, oil supply shocks have a negative impact on inflation, and demand shocks affect it asymmetrically. Positive demand shocks have a positive effect on inflation, while negative demand shocks affect inflation negatively. In a deflationary environment, positive supply shocks and negative demand shocks do not have a significant impact on inflation, while negative supply shocks and positive demand shocks are conducive to alleviating deflation. The risk shocks affect inflation insignificantly in most of the periods. Only when the risk shocks are dramatically high, they will negatively affect inflation which is in a positive situation. However, the risk shocks no longer affect inflation significantly when inflation is also extremely high. Our conclusions are robust after being compared with the results of the quantile regression approach. We finally explore the time-varying characteristic of impact, finding that the influence of shocks is relatively higher during the major supply, demand, and risk shock events than in other periods.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] The Impact of Uncertainties on Crude Oil Prices: Based on a Quantile-on-Quantile Method
    Ding, Yan
    Liu, Yue
    Failler, Pierre
    ENERGIES, 2022, 15 (10)
  • [32] Does geopolitical risk matter for global asset returns? Evidence from quantile-on-quantile regression
    Umar, Zaghum
    Bossman, Ahmed
    Choi, Sun-Yong
    Teplova, Tamara
    FINANCE RESEARCH LETTERS, 2022, 48
  • [33] The Role of Green Credit in Promoting Sustainable Development in Vietnam: Evidence from Quantile-on-Quantile Regression
    Van, Hai Nguyen
    Quoc, Huy Nguyen
    Quoc, Dinh Le
    RESEARCH ON WORLD AGRICULTURAL ECONOMY, 2025, 6 (01): : 88 - 99
  • [34] Natural resources volatility, political risk and economic performance: Evidence from quantile-on-quantile regression
    Tang, Shi
    Ma, Yechi
    Altuntas, Mehmet
    RESOURCES POLICY, 2022, 78
  • [35] Asymmetric openness-growth nexus in 20 highly open OIC countries: Evidence from quantile-on-quantile regression approach
    Ali, Sajid
    Yusop, Zulkornain
    Kaliappan, Shivee Ranjanee
    Chin, Lee
    Nazar, Raima
    JOURNAL OF INTERNATIONAL TRADE & ECONOMIC DEVELOPMENT, 2021, 30 (06): : 882 - 905
  • [36] Bitcoin vs Inflation: Can Bitcoin Be a Macro Hedge? Evidence from a Quantile-on-Quantile Model.
    Matkovskyy, Roman
    Jalan, Akanksha
    SSRN, 2021,
  • [37] Natural resources volatility, political risk and economic performance: Evidence from quantile-on-quantile regression
    Tang, Shi
    Ma, Yechi
    Altuntaş, Mehmet
    Resources Policy, 2022, 78
  • [38] The Asymmetric Effects of Oil Price Shocks on the Chinese Stock Market: Evidence from a Quantile Impulse Response Perspective
    Zhu, Huiming
    Su, Xianfang
    Guo, Yawei
    Ren, Yinghua
    SUSTAINABILITY, 2016, 8 (08):
  • [39] Oil price shocks and stock market returns of the GCC countries: empirical evidence from quantile regression analysis
    Salah A. Nusair
    Jamal A. Al-Khasawneh
    Economic Change and Restructuring, 2018, 51 : 339 - 372
  • [40] Oil price shocks and stock market returns of the GCC countries: empirical evidence from quantile regression analysis
    Nusair, Salah A.
    Al-Khasawneh, Jamal A.
    ECONOMIC CHANGE AND RESTRUCTURING, 2018, 51 (04) : 339 - 372