Futures Commodities Prices and Media Coverage
AbstractIn this paper we examine the effects of media coverage of commodity prices increases and decreases on the price of the commodity and how media coverage in other commodities affects prices. We provide evidence of the relationship between media coverage and its intensity to the price level of agricultural commodities and oil futures. We find that price movements are correlated with the media coverage of up movements, or increase in prices. The direction of the correlation is robust and positive for media coverage of increases in prices, and negative for decreases in prices. These results point to increases in prices being exacerbated by media attention by 8%. In addition, we find interesting countervailing effects of this reinforcing price pressures due to media activity in the previous days. Finally, we find that even though volatility is higher for the set of days where there is media coverage, this hides important dynamics between media coverage and volatility. The volatility of market adjusted returns is negatively correlated with the media coverage, both up and down media coverage. Markets days with intense media coverage of commodity prices tends to have lower volatility.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Bonn, Center for Development Research (ZEF) in its series Discussion Papers with number 149414.
Date of creation: May 2013
Date of revision:
prices; future prices; volatility; media; food security; time series; commodity returns; Agricultural Finance; Demand and Price Analysis; Food Security and Poverty; G13; Q11; C53; C58; D84; D82;
Find related papers by JEL classification:
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
This paper has been announced in the following NEP Reports:
- NEP-AGR-2013-06-04 (Agricultural Economics)
- NEP-ALL-2013-06-04 (All new papers)
- NEP-CUL-2013-06-04 (Cultural Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Blundell, R. & Bond, S., 1995.
"Initial Conditions and Moment Restrictions in Dynamic Panel Data Models,"
104, Economics Group, Nuffield College, University of Oxford.
- Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
- Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
- R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
- M Arellano & O Bover, 1990.
"Another Look at the Instrumental Variable Estimation of Error-Components Models,"
CEP Discussion Papers
dp0007, Centre for Economic Performance, LSE.
- Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- Ohlson, James A. & Penman, Stephen H., 1985. "Volatility increases subsequent to stock splits: An empirical aberration," Journal of Financial Economics, Elsevier, vol. 14(2), pages 251-266, June.
- Randal R. Rucker & Walter N. Thurman & Jonathan K. Yoder, 2005. "Estimating the Structure of Market Reaction to News: Information Events and Lumber Futures Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 482-500.
- Han, Chirok & Phillips, Peter C. B., 2010.
"Gmm Estimation For Dynamic Panels With Fixed Effects And Strong Instruments At Unity,"
Cambridge University Press, vol. 26(01), pages 119-151, February.
- Chirok Han & Peter C.B. Phillips, 2007. "GMM Estimation for Dynamic Panels with Fixed Effects and Strong Instruments at Unity," Cowles Foundation Discussion Papers 1599, Cowles Foundation for Research in Economics, Yale University.
- Carter, Colin A. & Smith, Aaron D., 2004. "The Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," Working Papers 11997, University of California, Davis, Department of Agricultural and Resource Economics.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Arellano, Manuel & Bond, Stephen, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Wiley Blackwell, vol. 58(2), pages 277-97, April.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.