Dynamic effects and driving intermediations of oil price shocks on major economies

经济 石油价格 汇率 波动性(金融) 货币经济学 贝叶斯向量自回归 中国 经济 计量经济学 贝叶斯概率 人工智能 计算机科学 法学 政治学
作者
Jie Lin,Hao Xiao,Jian Chai
出处
期刊:Energy Economics [Elsevier BV]
卷期号:124: 106779-106779 被引量:7
标识
DOI:10.1016/j.eneco.2023.106779
摘要

Interest in oil price shocks' economic effects has grown in recent years. However, previous studies mostly failed to clarify the dynamic transmissions of oil price shocks on representative economies from global and driver perspectives, even ignoring oil price fluctuations when linking oil prices and economy together. This paper examines the dynamic relationships and driving intermediations between multiple oil price shocks and macroeconomy by applying Bayesian vector autoregressive models with stochastic volatility and time-varying parameters, using the USA, China, the Euro-19, and Japan as research objects. Results show that, in the whole sample, all oil prices have the strongest effects on Japan, followed by China, Euro-19, and the USA, with possible directional differences. All oil prices' economic effects intensified during the crisis and Covid-19, accompanying significant oil price fluctuations. Regarding asymmetry, in the whole sample and critical times, stronger effects of rising oil prices show in the short term, but opposite in the long term. Consumer price, interest rate, and exchange rate are the general intermediations of oil prices in China and the USA, Euro-19, and Japan, respectively, and exchange rate is the additional intermediation in China, Euro-19, and Japan during the crisis and Covid-19. Overall, the results are solid.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Nole应助甜甜奇迹采纳,获得10
2秒前
2秒前
3秒前
153发布了新的文献求助50
3秒前
Jake发布了新的文献求助10
4秒前
激动的白羊完成签到,获得积分10
4秒前
暖楠完成签到 ,获得积分10
4秒前
lll发布了新的文献求助10
8秒前
8秒前
Derrick发布了新的文献求助10
9秒前
共享精神应助xzs采纳,获得10
10秒前
11秒前
12秒前
12秒前
今后应助易如反掌采纳,获得10
12秒前
13秒前
13秒前
13秒前
hingyao发布了新的文献求助10
13秒前
梁正凤完成签到,获得积分10
16秒前
16秒前
徐doc发布了新的文献求助10
19秒前
枢泱发布了新的文献求助10
19秒前
美好海莲发布了新的文献求助10
20秒前
YsHHH发布了新的文献求助10
20秒前
22秒前
科研通AI6.4应助hingyao采纳,获得10
23秒前
23秒前
Nole应助魁梧的开山采纳,获得10
23秒前
C_完成签到,获得积分10
23秒前
Nabya完成签到,获得积分10
24秒前
大乐完成签到,获得积分10
27秒前
27秒前
C_发布了新的文献求助10
28秒前
28秒前
科研通AI6.4应助凤梨采纳,获得10
30秒前
Ava应助Echo采纳,获得30
30秒前
Raven完成签到 ,获得积分10
30秒前
33秒前
盼芙完成签到 ,获得积分10
34秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
Geist der Kunst und Kultur 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7423257
求助须知:如何正确求助?哪些是违规求助? 9026202
关于积分的说明 19229303
捐赠科研通 7052797
什么是DOI,文献DOI怎么找? 3235472
关于科研通互助平台的介绍 2398457
邀请新用户注册赠送积分活动 2217753