Food versus fuel: What do prices tell us?

Zhang, Zibin; Lohr, Luanne; Escalante, Cesar L.; Wetzstein, Michael E.

doi:10.1016/j.enpol.2009.09.034

Cited by 374 publications

(225 citation statements)

References 16 publications

Supporting

Mentioning

204

Contrasting

Unclassified

Order By: Relevance

“…Although this number is bigger than the variability of exchange rate, rice and CPI, but this is one of indication that there is no direct channel between variability of oil price to explain the variability of world raw sugar price. The similar result also mention in Zhang et al [20] that there is no direct price relation between fuel and agricultural commodity prices.…”

Section: B Vi2 Variance Decomposition (Vdcs)supporting

confidence: 86%

Sugar Price Analysis in Indonesia

Jati¹

2013

IJSSH

View full text Add to dashboard Cite

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.

show abstract

Section: B Vi2 Variance Decomposition (Vdcs)supporting

confidence: 86%

Sugar Price Analysis in Indonesia

Jati¹

2013

IJSSH

View full text Add to dashboard Cite

show abstract

“…This assumption implied a belief that the link between corn and energy markets comes through the error term if such a link exists. Zhang et al (2010) performed a cointegration analysis of global commodity prices. They analyzed crude oil, gasoline, ethanol, corn, soybeans, wheat, sugar, and rice spot prices, finding no long-run relationship between the energy and agricultural commodities.…”

Section: Previous Workmentioning

confidence: 99%

How market efficiency and the theory of storage link corn and ethanol markets

2012

View full text Add to dashboard Cite

In this article we use the theories of market efficiency and supply of storage to develop a conceptual link between the corn and ethanol markets and explore statistical evidence for the link. We propose that a long-run no-profit condition is established in distant futures markets for ethanol, corn, and natural gas and then use the theory of storage to define an inter-temporal equilibrium among these prices. The relationship shows that under certain conditions, future price expectations will influence current spot prices and that a short-term relationship between input and output prices will exist. This short-term relationship will contain fixed costs. We demonstrate validity of the theory using a structural price model and then by means of time-series techniques. AbstractIn this article we use the theories of market efficiency and supply of storage to

show abstract

“…Using co-integration approach, Saghaian [16] and Alom et al [17] observed strong correlation between crude oil prices and agricultural commodities prices. However, Mutuc et al [18] and Zhang et al [19] find no direct correlation between crude oil prices and agricultural commodities prices. Moreover, Kaltalioglu and Soutas [20] did not find any evidence of volatility spillover from crude oil to agricultural commodities.…”

Section: Literature Reviewmentioning

confidence: 99%

On Volatility Transmission from Crude Oil to Agricultural Commodities

Kumar¹

2017

TEL

View full text Add to dashboard Cite

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.

show abstract

Food versus fuel: What do prices tell us?

Cited by 374 publications

References 16 publications

Sugar Price Analysis in Indonesia

Sugar Price Analysis in Indonesia

How market efficiency and the theory of storage link corn and ethanol markets

On Volatility Transmission from Crude Oil to Agricultural Commodities

Contact Info

Product

Resources

About