scholarly journals The Transmission of Global Commodity Prices to Consumer Prices in a Commodity Import-Dependent Country: Evidence from Morocco

2020 ◽  
Vol 67 (1) ◽  
pp. 15-32
Author(s):  
Mounir El-Karimi ◽  
El-Ghini Ahmed
Keyword(s):  
Commodity Prices ◽  
Oil Prices ◽  
Commodity Price ◽  
Food Prices ◽  
Food Price ◽  
Oil Price ◽  
Causality Test ◽  
Consumer Prices ◽  
Short Run ◽  
The Impact

This paper uses the Breitung and Candelon (2006) causality test to examine the effect of global oil and food price changes on the inflation in Morocco over the period from 1998Q1 to 2018Q1. The results show significant transmission from oil and food prices to domestic inflation. Specifically, the food prices are shown more important than oil prices in explaining inflation in the short-run, which reflects the high weight of food in the consumption basket. However, the effect of oil prices on inflation is much more persistent than the effect of food prices. Furthermore, the impact of commodity price shocks on inflation exhibits asymmetries. The oil price hikes affect more weakly the inflation than oil price decreases, whereas the food price increases are more transmitted to inflation than food price decreases. Our findings may provide useful information to researchers and policymakers in formulating more appropriate monetary policy.

scholarly journals Does Oil Price Drive World Food Prices? Evidence from Linear and Nonlinear ARDL Modeling

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Mourad Zmami ◽  
Ousama Ben-Salha
Keyword(s):  
Commodity Prices ◽  
Food Prices ◽  
Food Price ◽  
Oil Price ◽  
Agricultural Commodity ◽  
Distributed Lag ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Linear And Nonlinear ◽  
The Impact

The macroeconomic outcomes of oil price fluctuations have been at the forefront of the debate among economists, financial analysts and policymakers over the last decades. Among others, the oil price–food price nexus has particularly received a great deal of attention. While an abundant body of literature has focused on the linear relationship between oil price and food price, little is known regarding the nonlinear interactions between them. The aim of this paper is to conduct aggregated and disaggregated analyses of the impact of the Brent and West Texas Intermediate (WTI) oil prices on international food prices between January 1990 and October 2017. The empirical investigation is based on the estimation of linear and nonlinear autoregressive distributed lag (ARDL) models. The findings confirm the presence of asymmetries since the overall food price is only affected by positive shocks on oil price in the long-run. While the dairy price index reacts to both positive and negative changes of oil price, the impact of oil price increases is found to be greater. Finally, the asymmetry is present for some other agricultural commodity prices in the short-run, since they respond only to oil price decreases. All in all, the study concludes that studies assuming the presence of a symmetric impact of oil price on food price might be flawed. The findings are important for the undertaking of future studies and the design of international and national policies in the fight against food insecurity.

scholarly journals The Linkages between Crude Oil and Food Prices

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6545 ◽  
Author(s):  
Monika Roman ◽  
Aleksandra Górecka ◽  
Joanna Domagała
Keyword(s):  
Crude Oil ◽  
Oil Prices ◽  
Food Prices ◽  
Food Price ◽  
Price Transmission ◽  
Data Series ◽  
Food Groups ◽  
Causality Test ◽  
Crude Oil Prices ◽  
The Impact

This paper aims to indicate the linkages between crude oil prices and selected food price indexes (dairy, meat, oils, cereals, and sugar) and provide an empirical specification of the direction of the impact. This paper reviews the fuel–food price linkage models with consideration to the time series literature. This study adopts several methods, namely the Augmented Dickey–Fuller test, Granger causality test, the cointegration test, the vector autoregression model, and the vector error correction model, for studying the price transmission among the crude oil and five selected food groups. The data series covers the period between January 1990 and September 2020. The empirical results from the paper indicate that there are long-term relationships between crude oil and meat prices. The linkage of crude oil prices occurred with food, cereal, and oil prices in the short term. Furthermore, the linkages between the analyzed variables increased in 2006–2020.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

Global Food Commodity Prices and Domestic Food Inflation: Some Insights from Morocco

New Medit ◽  
2020 ◽  
Vol 19 (3) ◽  
Author(s):  
Ahmed EL GHIN ◽  
Mounir EL-KARIMI
Keyword(s):  
Exchange Rate Regime ◽  
Commodity Prices ◽  
Food Prices ◽  
Consumer Prices ◽  
Floating Exchange Rate ◽  
Pass Through ◽  
The Impact ◽  
Food Inflation ◽  
Global Food ◽  
Domestic Food

This paper examines the world commodity prices pass-through to food inflation in Morocco, over the period 2004-2018, by using Structural Vector Autoregression (SVAR) model on monthly data. Several interesting results are found from this study. First, the impact of global food prices on domestic food inflation is shown significant, which reflects the large imported component in the domestic food consumption basket. Second, the transmission effect is found to vary across commodities. Consumer prices of cereals and oils significantly and positively respond to external price shocks, while those of dairy and beverages are weakly influenced. Third, there is evidence of asymmetries in the pass-through from world to domestic food prices, where external positive shocks generate a stronger local prices response than negative ones. This situation is indicative of policy and market distortions, namely the subsidies, price controls, and weak competitive market structures. Our findings suggest that food price movements should require much attention in monetary policymaking, especially that the country has taken preliminary steps towards the adoption of floating exchange rate regime.

scholarly journals THE IMPACT OF THE WORLD FOOD PRICE INDEX ON SOME EAST-EUROPEAN ECONOMIES

2018 ◽  
Vol 19 (2) ◽  
pp. 268-287
Author(s):  
Corina Saman ◽  
Cecilia Alexandri
Keyword(s):  
Price Volatility ◽  
Agricultural Trade ◽  
Food Prices ◽  
Food Price ◽  
Long Run ◽  
Short Run ◽  
Positive Shock ◽  
Macroeconomic Implications ◽  
The Impact ◽  
Global Food

This paper deals with the dynamic response of exchange rates, inflation and agricultural foreign trade in Bulgaria, Poland and Romania to global food prices. We employ time-varying VARs with stochastic volatility to estimate the behaviour of these macroeconomic variables over the 2001M1–2015M12 period. The original contribution of this paper is that it captures the time variation and nonlinearities of the relationship between variables taking into account food price volatility and its macroeconomic implications. The main findings of the paper are: (i) high global food prices were transmitted to domestic economies causing pressure on inflation in the long run; (ii) in the short run the impact of a positive shock in international food price increases domestic inflation, depreci-ates the currency and reduces the agricultural trade; (iii) the vulnerabilities to global food prices are more pregnant for Romania and Bulgaria; (iv) the difference in the transmission of world prices is related to the different status of the countries as regards food and agricultural trade. The findings of the research would be significant for the governments to promote policies to help farmers respond to the rising of food prices by growing more and responding to export opportunities that may arise.

scholarly journals Effect Of Oil Prices On Food prices: Time Series Analysis Using Vector Autoregressive (VAR) Model

2020 ◽  
Author(s):  
Sassi Mohamed Taher
Keyword(s):  
Impulse Response ◽  
Impulse Response Function ◽  
Commodity Prices ◽  
Oil Prices ◽  
Food Prices ◽  
Estimation Methods ◽  
Short Term ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Rice Prices

This study examines the effect of oil prices on food prices using worldwide monthly data covering crude oil prices wheat, soybeans and rice prices from 08.2013 until 06.2017 from World-Bank-Database 2017. It specifically considers the identification of the short-term causal relationship between oil and the selected commodity prices using the Vector-Autoregressive-Model as main model and its post-estimation methods, Granger-Causality-Test and Impulse response function. The results show that there is no long run relationship between the variables but a significant causal short-term relationship between oil prices and wheat prices is confirmed. The impulse response results after a simulated shock on oil prices showed mainly negative response of soybeans prices a and persistent increase on wheat prices, for the rice prices response there was a slight increase on rice prices after the shock of oil prices. This research targets the detection of one influencing factor to food prices in order to support food security. To achieve this objective and recommend solutions research needed to further investigate the interaction of food prices with other variables.

scholarly journals Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries

2020 ◽  
Vol 66 (No. 10) ◽  
pp. 458-468
Author(s):  
Chen Ding ◽  
Umar Muhammad Gummi ◽  
Shan-bing Lu ◽  
Asiya Muazu
Keyword(s):  
Least Squares ◽  
Low Income ◽  
Ordinary Least Squares ◽  
Food Prices ◽  
Oil Price ◽  
Low Income Countries ◽  
Long Run ◽  
Oil Markets ◽  
Short Run ◽  
The Impact

Oil exporting economies were the most hit by the recent oil price shock that spills on the food market in an increasingly volatile macroeconomic environment. This paper examines and compares sub-samples [before crisis <br />(2000 Q1–2013 Q1) and during crisis (2013 Q2–2019 Q4)] as to the impact of oil price on food prices in high- and low-income oil-exporting countries. We found an inverse relationship between oil and food prices in the long run based on full samples and sub-samples in high-income countries. The story is different during the crisis period: in low-income countries and all the countries combined, oil and food prices co-move in the long run as measured by the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our findings suggest that economic structure and uncertain events (crises) dictate the behaviour and relationship between food and oil markets. Food and oil prices may drift away in the short-run, but market forces turn them toward equilibrium in the long-run. Moreover, low-income countries are indifferent in both periods due to limited capacity to balance the increasing demand for and supply of food items.

scholarly journals The impact of Indonesian oil price (CPI) and macroeconomics on investments in the manufacturing sector in Indonesia

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 338
Author(s):  
Handri Handri ◽  
Hendrati Dwi Mulyaningsih ◽  
Achmad Kemal Hidayat ◽  
Rudi Kurniawan ◽  
Ani Wahyu Rachmawati
Keyword(s):  
Energy Source ◽  
Stock Prices ◽  
Manufacturing Sector ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
The Impact

Background: Indonesia consumes oil as the main energy source in the production process and as a result of the development of the manufacturing industry. Thus, investment in manufacturing stocks will be affected by oil price fluctuations and macroeconomic conditions. Changes in oil prices will affect the performance of the manufacturing sector which in turn affects manufacturing stock prices. This paper aims to examine the impact of Indonesia's oil price shocks and macroeconomic factors on stock price movements in the manufacturing sector. Methods: This study uses monthly data for the 2009-2016 period in the manufacturing sector, and 67 stocks were selected on the basis consistently available in the period of the research. The cointegration and causality technique was used in this paper; firstly we applied a unit-panel root test, Secondly, we performed a residual test to indicate whether there was cointegration among variables in the long run equilibrium, and short the short run, we used a Granger causality test. Results: The panel unit root test (both Shin and Fisher) and the Pedroni cointegration residual test show that the data is stationary at 1%  level of significance, thus all variables simultaneously achieve long-run equilibrium, and in the short run, the Granger causality test shows that there is one way direction causality Conclusions: For long-term investment in manufacturing stocks, investors must consider the exchange rate, as it is also as a determining factor in influencing the movement of manufacturing stock prices, inflation, and the production index. Meanwhile, weakening of the rupiah in the short run will also determine investment conditions due to the dependency on raw materials for production from foreign sources. The price of oil as an energy source in the manufacturing sector does not have a long-term relationship with other variables.

scholarly journals Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes

2020 ◽  
Vol 31 (4) ◽  
pp. 859-879
Author(s):  
Pilar Poncela ◽  
Eva Senra ◽  
Lya Paola Sierra
Keyword(s):  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Commodity Markets ◽  
Small Scale ◽  
Policy Makers ◽  
Economic Agents ◽  
Short Run ◽  
The Impact ◽  
Predictive Content

Abstract Commodity prices influence price levels of a broad range of goods and, in the case of some developing economies, production and export activity. Therefore, information about future commodity inflation is useful for central banks, forward-looking policy-makers, and economic agents whose decisions depend on their expectations about it. After 2004, we have witnessed the so-called financialization of the commodity markets, which might induce greater communalities among commodity prices. This paper reports evidence on the relevance of the forecasting content of co-movement after 2004. With the use of large and small scale factor models we find that for the short run, in addition to dynamics, sectoral communality has relevant predictive content. For 12 months ahead, dynamics lose relevance while communality remains relevant.

An empirical study on the dynamic relationship between oil prices and Indian stock market

2014 ◽  
Vol 40 (2) ◽  
pp. 200-215 ◽  
Author(s):  
Tarak Nath Sahu ◽  
Kalpataru Bandopadhyay ◽  
Debasish Mondal
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Oil Prices ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market

Purpose – This study aims to investigate the dynamic relationships between oil price shocks and Indian stock market. Design/methodology/approach – The study used daily data for the period starting from January 2001 to March 2013. In this study, Johansen's cointegration test, vector error correction model (VECM), Granger causality test, impulse response functions (IRFs) and variance decompositions (VDCs) test have been applied to exhibit the long-run and short-run relationship between them. Findings – The cointegration result indicates the existence of long-term relationship. Further, the error correction term of VECM shows a long-run causality moves from Indian stock market to oil price but not the vice versa. The results of the Granger causality test under the VECM framework confirm that no short-run causality between the variables exists. The VDCs analysis revealed that the Indian stock markets and crude oil prices are strongly exogenous. Finally, from the IRFs, analysis revealed that a positive shock in oil price has a small but persistence and growing positive impact on Indian stock markets in short run. Originality/value – The study would enhance the understandings of the interaction between oil price volatilities and emerging stock market performances. Further, the study would enable foreign investors who are interested in Indian stock market helps in understanding the conditional relationship between the variables.

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