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

被引:2
|
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
  • [41] Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression
    You, Wanhai
    Guo, Yawei
    Zhu, Huiming
    Tang, Yong
    [J]. ENERGY ECONOMICS, 2017, 68 : 1 - 18
  • [42] The asymmetric impact of oil price uncertainty on emerging market financial stress: A quantile regression approach
    Das, Debojyoti
    Dutta, Anupam
    Jana, Rabin K.
    Ghosh, Indranil
    [J]. INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2023, 28 (04) : 4299 - 4323
  • [43] Heterogeneous effects of oil shocks on exchange rates: evidence from a quantile regression approach
    Su, Xianfang
    Zhu, Huiming
    You, Wanhai
    Ren, Yinghua
    [J]. SPRINGERPLUS, 2016, 5
  • [44] The linkages between oil market uncertainty and Islamic stock markets: Evidence from quantile-on-quantile approach
    Lin, Boqiang
    Su, Tong
    [J]. ENERGY ECONOMICS, 2020, 88
  • [45] The Asymmetric Effects of Monetary Policy, Currency Crises and Oil Price on Food Inflation in Iran: An Application of Quantile Regression
    Mahmoudinia, Davoud
    [J]. MACROECONOMICS AND FINANCE IN EMERGING MARKET ECONOMIES, 2021,
  • [46] How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression
    Liu, Lu
    Wang, Kai-Hua
    Xiao, Yidong
    [J]. FRONTIERS IN PUBLIC HEALTH, 2021, 9
  • [47] The Emission-Inequality Nexus: Empirical Evidence From a Wavelet-Based Quantile-on-Quantile Regression Approach
    Yang, Zhenkai
    Ren, Jiameng
    Ma, Shiqun
    Chen, Xiao
    Cui, Shihao
    Xiang, Lijin
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [48] Visiting effects of crude oil price on economic growth in BRICS countries: Fresh evidence from wavelet-based quantile-on-quantile tests
    Mo, Bin
    Chen, Cuiqiong
    Nie, He
    Jiang, Yonghong
    [J]. ENERGY, 2019, 178 : 234 - 251
  • [49] Digital financial inclusion, financial stability, and sustainable development: Evidence from a quantile-on-quantile regression and wavelet coherence
    Oanh, Tran Thi Kim
    Dinh, Le Quoc
    [J]. SUSTAINABLE DEVELOPMENT, 2024,
  • [50] Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach
    Miao, Xiaoyu
    Wang, Qunwei
    Dai, Xingyu
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2022, 77 : 450 - 470