Demand, supply, monetary policy, and oil price shocks in the Russian economy (Analysis based on the BVAR model with sign restrictions)

2020 ◽  
pp. 83-104
Author(s):  
D. A. Lomonosov ◽  
A. V. Polbin ◽  
N. D. Fokin
Keyword(s):  
Monetary Policy ◽  
Positive Impact ◽  
Oil Price ◽  
Monetary Shocks ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Demand Shocks ◽  
Russian Economy ◽  
Sign Restrictions ◽  
The Impact

This paper considers a simple Bayesian vector autoregressive model for the Russian economy based on data for real GDP, GDP deflator and oil price as an exogenous variable that acts as a proxy variable for the terms of trade. Along with the impact of oil price shocks, the model estimates the impact of supply and demand shocks, the identification of which is based on the approach of sign restrictions. According to the results obtained, at the end of 2014 and in 2015, demand shocks had a positive impact on GDP growth, which can be interpreted as a positive effect of the ruble devaluation at the end of 2014. In the next years, demand shocks led mainly to a slowdown in economic growth. The paper also attempts to identify monetary policy shocks and assesses their impact on GDP, household consumption and investment. According to the results, the effect of monetary shocks in 2015—2019 on all endogenous variables was negative. However, an increase in the interest rate at the end of 2014 is identified mostly as an endogenous reaction to other shocks, and the effect of the monetary shock on GDP in 2015 is nearly zero. In 2017, monetary shocks slowed down GDP by 0.92 percentage points.

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.

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

The impact of oil price shocks on Turkish sovereign yield curve

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oğuzhan Çepni ◽  
Selçuk Gül ◽  
Muhammed Hasan Yılmaz ◽  
Brian Lucey
Keyword(s):  
Yield Curve ◽  
Structural Var ◽  
Oil Price ◽  
Inflation Expectations ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Demand Shocks ◽  
Content Type ◽  
Identification Scheme ◽  
The Impact

PurposeThis paper aims to investigate the impact of oil price shocks on the Turkish sovereign yield curve factors.Design/methodology/approachTo extract the latent factors (level, slope and curvature) of the Turkish sovereign yield curve, we estimate conventional Nelson and Siegel (1987) model with nonlinear least squares. Then, we decompose oil price shocks into supply, demand and risk shocks using structural VAR (structural VAR) models. After this separation, we apply Engle (2002) dynamic conditional correlation GARCH (DCC-GARCH (1,1)) method to investigate time-varying co-movements between yield curve factors and oil price shocks. Finally, using the LP (local projections) proposed by Jorda (2005), we estimate the impulse-response functions to examine the impact of different oil price shocks on yield curve factors.FindingsOur results demonstrate that the various oil price shocks influence the yield curve factors quite differently. A supply shock leads to a statistically significant increase in the level factor. This result shows that elevated oil prices due to supply disruptions are interpreted as a signal of a surge in inflation expectations since the cost channel prevails. Besides, unanticipated demand shocks have a positive impact on the slope factor as a result of the central bank policy response for offsetting the elevated inflation expectations. Finally, a risk shock is associated with a decrease in the curvature factor indicating that risk shocks influence the medium-term bonds due to the deflationary pressure resulting from depressed economic conditions.Practical implicationsOur results provide new insights to understand the driving forces of yield curve movements induced by various oil shocks to formulate appropriate policy responses.Originality/valueThe study contributes to the literature by two main dimensions. First, the recent oil shock identification scheme of Ready (2018) is modified using the “geopolitical oil price risk index” to capture the changes in the risk perceptions of oil markets driven by geopolitical tensions such as terrorism and conflicts and sanctions. The modified identification scheme attributes more power to demand shocks in explaining the variation of the oil price compared to that of the baseline scheme. Second, it provides recent evidence that distinguishes the impact of oil demand and supply shocks on Turkey's yield curve.

scholarly journals Monetary policy and the effect of the oil prices pass-through to inflation

2019 ◽  
Vol 5 (3) ◽  
pp. 211-219
Author(s):  
Philipp Kartaev ◽  
Ilya Medvedev
Keyword(s):  
Monetary Policy ◽  
Inflation Targeting ◽  
Dynamic Models ◽  
Oil Prices ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Policy Regime ◽  
Pass Through ◽  
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 2000–2017. It is shown that the impact of changes in oil prices on inflation is carried out predominantly 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 oil prices pass-through, limiting the negative effects of shock. During periods of decline in oil prices, this monetary policy regime, in contrast, contributes to a stronger pass-through, helping to reduce inflation.

scholarly journals Do the stock returns of clean energy corporations respond to oil price shocks and policy uncertainty?

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiaohui Zhao
Keyword(s):  
Stock Returns ◽  
Clean Energy ◽  
Oil Price ◽  
Policy Uncertainty ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Demand Shocks ◽  
Supply Shocks ◽  
Energy Companies ◽  
The Impact

Abstract This paper investigates the effects of oil price shocks and policy uncertainty on the stock returns of clean energy companies. We use a structural vector autoregressive (VAR) model to separate demand and supply shocks in the global crude oil market from 2001 to 2018. We find that oil supply shocks and aggregated demand shocks have a positive effect on the returns of clean energy companies, while policy uncertainty shocks and oil-specific-demand shocks have a negative effect. The impacts of these shocks are shown to last relatively long. Moreover, the effects of oil shocks on the clean energy stock returns are amplified by adding policy uncertainty as an endogenously driven factor to the model. The impact of policy uncertainty is mainly transmitted through the uncertainty of inflation.

The Impact of Oil Price Shocks on Turkish Sovereign Yield Curve

2020 ◽  
Author(s):  
Oguzhan Cepni ◽  
Selcuk Gul ◽  
Brian M. Lucey ◽  
Muhammed Hasan Yilmaz
Keyword(s):  
Yield Curve ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
The Impact

scholarly journals The Impact of Oil Price Shocks on National Income: Evidence from Azerbaijan

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1695
Author(s):  
Shahriyar Mukhtarov ◽  
Sugra Humbatova ◽  
Mubariz Mammadli ◽  
Natig Gadim‒Oglu Hajiyev
Keyword(s):  
Exchange Rate ◽  
Oil Price ◽  
Gdp Per Capita ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Total Trade ◽  
Trade Turnover ◽  
Per Capita ◽  
The Exchange Rate ◽  
The Impact

This study investigates the influence of oil price shocks on GDP per capita, exchange rate, and total trade turnover in Azerbaijan using the Structural Vector Autoregressive (SVAR) method to data collected from 1992 to 2019. The estimation results of the SVAR method conclude that oil price shocks (rise in oil prices) affect GDP per capita and total trade turnover positively, whereas its influence on the exchange rate is negative in the case of Azerbaijan. According to results of this study, Azerbaijan and similar oil-exporting countries should reduce the dependence of GDP per capita, the exchange rate, and total trade turnover from oil resources and its prices in the global market. Therefore, these countries should attempt to the diversification of GDP per capita, the exchange rate, and other sources of total trade turnover.

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