The interaction between food prices and oil prices

Alghalith, Moawia

doi:10.1016/j.eneco.2010.08.012

Cited by 82 publications

(52 citation statements)

References 6 publications

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“…This result is similar with Alghalith [9] and Hanson, et al [16] said that there is positive relation between oil price and agricultural commodity price. Oil is input factor in sugar cane production like transportation and fertilizers of sugar industry.…”

Section: A Vi1 Analysis Of Impulse Response Function (Irf)supporting

confidence: 89%

“…If the price of good increase, then the supply of goods tend to increase also because the seller want to get more profit. According to Alghalith [9], an increase in the supply of world oil will reduces the food price, including sugar.…”

Section: A Vi1 Analysis Of Impulse Response Function (Irf)mentioning

confidence: 99%

“…Another paper from Alghalith [9], about the interaction between food prices and oil prices, used national Nominal Rate of Assistance to agricultural producers (NRA) and Nominal Assistance Coefficient (NAC). The empirical results indicate that higher oil price increases food price.…”

Section: Introductionmentioning

confidence: 99%

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Sugar Price Analysis in Indonesia

Jati¹

2013

IJSSH

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Abstract-This study examines the dynamic relationship between sugar price, exchange rate, oil price, rice price, and consumer price index (CPI); and to detect is there any difference between exchange rate, oil price, rice price, and CPI in effecting sugar price. We employ Vector Auto-regressions methods for a time series of monthly data from January 1998 to December 2011. Generally, the Impulse Response Function results provide the positive response of Indonesian sugar price from shock of the change of world sugar price, oil price, rice price and CPI; but there is negative response of Indonesian sugar price from shock of the change of exchange rate. The empirical results in variance decomposition test provide evidence that variability of the change of Indonesian sugar price are vary between each variable. Overall variance decomposition results are below than ten percent. These results indicate there is low transmission of international prices into Indonesian sugar prices.

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Section: A Vi1 Analysis Of Impulse Response Function (Irf)supporting

confidence: 89%

Section: A Vi1 Analysis Of Impulse Response Function (Irf)mentioning

confidence: 99%

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Sugar Price Analysis in Indonesia

Jati¹

2013

IJSSH

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“…Harri, Nalley and Hudson [11] and Chang and Su [2] examine the volatility spillover from crude oil futures to corn futures and find that volatility spillover from crude oil to corn are mainly significant during the periods of crisis and crashes in markets. Alghalith [12] and Chen et al [13] also find significant impact of return volatility in crude oil prices on return volatility of agricultural commodities. Gohin and Chantret [14] find a negative relationship between crude oil prices and agricultural commodity markets.…”

Section: Literature Reviewmentioning

confidence: 96%

On Volatility Transmission from Crude Oil to Agricultural Commodities

Kumar¹

2017

TEL

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The paper examines volatility transmission from crude oil market to agricultural commodities like wheat, corn, cotton and soybeans. We find that the volatility transmission from crude oil to agricultural commodities exhibits sudden changes over a study period. We also examine whether the sudden changes in volatility influence the observed sudden changes in volatility transmission from crude oil to agricultural commodities. Our results indicate the observed sudden change in volatility transmission mechanism is not influenced by sudden changes in volatility series.

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“…The second linkage is that the price of oil as cost of production, and a higher oil price is one of the fundamental sources of the agricultural commodity price volatility (Alghalith, 2010).…”

Section: Motivation From Previous Findingsmentioning

confidence: 99%

Commodity markets volatility transmission: Roles of risk perceptions and uncertainty in financial markets

Gözgör

Lau

Bilgin

2016

Journal of International Financial Markets, Institutions and Mo

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This paper uses a GJR-GARCH estimations to analyze the price volatility transmissions among the crude oil, corn, soybeans, sugar, and wheat markets. Special role is also given to two driving mechanisms of the relationship: i) the volatility index (VIX) as a measure of risk perceptions, and ii) the equity market uncertainty (EMU) index as a measure of uncertainty in financial markets. The analysis covers the daily futures markets data from January 1, 1990 to July 31, 2015, and several sub-periods in the empirical strategy are also considered. The empirical results show that i) crude oil return is positively related to four agricultural commodity returns; ii) a higher risk perception in financial markets suppresses the both corn and soybeans returns over the period August 1, 2008-July 31, 2015; iii) a higher uncertainty in financial markets is negatively related to the corn and soybeans returns for the period from June 1, 2010 to July 31, 2015; iv) the results for the effects of risk perceptions and uncertainty on wheat market returns are not statistically robust; i.e., these results are time-specific in the different sub-period analyses.

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The interaction between food prices and oil prices

Cited by 82 publications

References 6 publications

Sugar Price Analysis in Indonesia

Sugar Price Analysis in Indonesia

On Volatility Transmission from Crude Oil to Agricultural Commodities

Commodity markets volatility transmission: Roles of risk perceptions and uncertainty in financial markets

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