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The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach

机译:美国金融中介和通货膨胀对美国石油供应及需求冲击的时变响应:来自贝叶斯电视 - SVAR-SV方法的证据

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摘要

The perception of the pass-through of oil price shocks on the real and financial spheres has undergone considerable evolution with the emergence of a literature devoted to the sources of oil price fluctuations. This perception is also found to evolve over time depending on market expectations, structural changes or crises. Focusing on the specific case of the US, this paper investigates the time-varying effects of oil price shocks on financial intermediation (credit market) and inflation as a transmission channel. Monthly data are used for a period that encompasses the recent Covid-19 pandemic crisis. Prior to the construction of a time-varying parameter structural vector autoregression stochastic volatility (TVP-SVAR-SV), a structural VAR (SVAR) model is estimated to disentangle oil price shocks in four shocks: oil supply, aggregate demand, domestic demand and oil-specific demand shocks. The results underscore the increasing response of financial intermediation to oil supply, aggregate demand and oil specific demand shocks since the shale revolution. In addition, the response of credit markets to aggregate demand shocks during the covid-19 pandemic is different from that observed during the subprime crisis. It appears also that the response of inflation influence the reaction of the credit market to aggregate and domestic demand shocks.
机译:对真实和金融领域的石油价格冲击的传递的看得经历了相当大的演变,其中致力于油价波动来源的文学的出现。此感知也被发现随着时间的推移而发展,这取决于市场期望,结构变化或危机。专注于美国的具体案例,本文调查了油价冲击对金融中介(信贷市场)和通货膨胀作为传输渠道的时变影响。每月数据用于包括最近Covid-19大流行危机的时期。在建造时变参数结构载体自动增速随机波动率(TVP-SVAR-SV)之前,估计结构var(SVAR)模型四次冲击率解开油价冲击:供油,需求总需求,国内需求和特定于石油需求冲击。结果强调了由于页岩革命以来,金融中介对石油供应,总需求和石油特定需求的响应。此外,在Covid-19大流行期间,信贷市场在Covid-19大流行期间的需求冲击的反应与次次危机期间观察到的不同。它还似乎,通货膨胀的响应会影响信贷市场的反应,以汇总和国内需求冲击。

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