scholarly journals Exchange Rates, Oil Price Shocks, and Monetary Policy In an Economy with Traded and Non-Traded Goods

2009 ◽  
Author(s):  
Michael Plante
Keyword(s):  
Monetary Policy ◽  
Exchange Rates ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Traded Goods

Monetary policy and the effect of the transfer of oil prices to inflation

2020 ◽  
pp. 41-50
Author(s):  
Ph. S. Kartaev ◽  
I. D. Medvedev
Keyword(s):  
Monetary Policy ◽  
Inflation Targeting ◽  
Dynamic Models ◽  
Oil Prices ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Negative Effects ◽  
Price Shocks ◽  
Policy Regime ◽  
The Impact

The paper examines the impact of oil price shocks on inflation, as well as the impact of the choice of the monetary policy regime on the strength of this influence. We used dynamic models on panel data for the countries of the world for the period from 2000 to 2017. It is shown that mainly the impact of changes in oil prices on inflation is carried out through the channel of exchange rate. The paper demonstrates the influence of the transition to inflation targeting on the nature of the relationship between oil price shocks and inflation. This effect is asymmetrical: during periods of rising oil prices, inflation targeting reduces the effect of the transfer of oil prices, limiting negative effects of shock. During periods of decline in oil prices, this monetary policy regime, in contrast, contributes to a stronger transfer, helping to reduce inflation.

On the asymmetric response of the exchange rate to shocks in the crude oil market

2020 ◽  
Vol 14 (4) ◽  
pp. 839-852 ◽  
Author(s):  
Huthaifa Alqaralleh
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Financial Crises ◽  
Oil Price ◽  
Series Data ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Content Type ◽  
The Exchange Rate ◽  
Asymmetric Cointegration

Purpose This paper aims to investigate the nonlinear dynamics in the effects of oil price shocks on the exchange rate for a sample from the Group of Twenty (G20) over the period 1994:1-2019:1. Design/methodology/approach Using monthly time series data covering the period1994:1-2019:1, the author first use the non-parametric triples test of Randles et al. (1980) to ascertain the existence of asymmetric properties in the sample of exchange rates. Then the author used the nonlinear ARDL cointegration approach developed by Shin et al. (2014) to examine the reaction of these exchange rates to the oil price shocks. Findings This study has identified significant evidence that the exchange rate is asymmetrically distributed, with the effect that high appreciation of the exchange rate is followed by slower depreciation. The NARDL results support such asymmetry even more strongly because in the test the exchange rate is shown to react differently in the long term to positive and negative shocks in oil prices. Another major finding was that the speed of adjustment differed over the sample, as the cumulative dynamic multipliers effect highlighted. Research limitations/implications This change in direction and the employment of non-linear technique can be to obtain better insight into the model specification, which the author believes, will not only enhance the findings in the literature but also enhance forecasting and decision-making. Practical implications A practical implication of this change is the possibility that policymakers and participants concerned with exchange rate stability should intervene in the market to alleviate the unfavourable impact of oil price shocks on the exchange rate. Originality/value Addressing this nonlinear dynamic in the effects of oil price shocks on the exchange rate have at least the following two important reasons: asymmetry and regime change are types of nonlinearities that affect the market dynamics, especially, over marked sample period with such financial crises as the global financial crises of 2007, thereby violating the linear models. Adopting an asymmetric cointegration technique permits to incorporate cointegrated positive and negative components of the considered series.

A financial CGE model analysis: Oil price shocks and monetary policy responses in China

2015 ◽  
Vol 51 ◽  
pp. 534-543 ◽  
Author(s):  
Jing-Yu Liu ◽  
Shih-Mo Lin ◽  
Yan Xia ◽  
Ying Fan ◽  
Jie Wu
Keyword(s):  
Monetary Policy ◽  
Model Analysis ◽  
Oil Price ◽  
Cge Model ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Policy Responses

scholarly journals Oil Price Shocks, Systematic Monetary Policy and Economic Activity

2019 ◽  
Vol 58 (1) ◽  
pp. 65-81 ◽  
Author(s):  
Muhammad Zeshan ◽  
Wasim Shahid Malik ◽  
Muhammad Nasir
Keyword(s):  
Monetary Policy ◽  
Jel Classification ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Structural Vector Autoregression ◽  
Price Shocks ◽  
Output Loss ◽  
The Impact ◽  
Auto Regression ◽  
Structural Vector

This study quantifies the impact of oil price shocks and the subsequent monetary policy response on output for Pakistan. It employs a quarterly Structural Vector Auto-regression framework for the period 1993–2015. It first discovers that Hamilton’s (1996) Net Oil Price Increase indicator appropriately reveals most of the oil price shocks hitting Pakistan’s economy. We find that a contractionary monetary policy, resulting from the oil price shocks, contributes to significant output loss in Pakistan. After encountering the Lucas critique, the present study finds that around 42 percent of the output loss is due to the ensuing tight monetary policy. This suggests that the central bank of Pakistan can reduce the impact of oil price shocks by reducing its intervention in the market. JEL Classification: E1, E3, E5 Keywords: Oil Price Shocks, Monetary Policy, Structural Vector Autoregression

scholarly journals Oil price shocks and China's economy: Reactions of the monetary policy to oil price shocks

2017 ◽  
Vol 62 ◽  
pp. 61-69 ◽  
Author(s):  
Won Joong Kim ◽  
Shawkat Hammoudeh ◽  
Jun Seog Hyun ◽  
Rangan Gupta
Keyword(s):  
Monetary Policy ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
China’S Economy
Sign in / Sign up

Export Citation Format

Share Document