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Information Demand and Agriculture Commodity Prices

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  • Peri, Massimo
  • Vandone, Daniela
  • Baldi, Lucia

Abstract

This paper investigates the effect of information flow on corn futures price variability for the period January 2004 -July 2011. The theoretical framework is the Mixture Distribution Hypothesis, that posits a joint dependence of return volatility and information. The main contribution of this article is that we use two different proxy for the observed component of information flow that allow to separate the effect of supply (News) and demand (Internet Search Volume) of information. Empirical estimates highlight that: i) results support the MDH since observed volatility persistence appears to be related to the information flow; ii) variation in information demand has a significant effect on volatility of futures corn returns even controlling for variation in information supply and such result can be interpreted in light of behavioural finance.

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File URL: http://purl.umn.edu/144973
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Bibliographic Info

Paper provided by International European Forum on Innovation and System Dynamics in Food Networks in its series 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria with number 144973.

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Date of creation: Sep 2012
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Handle: RePEc:ags:iefi12:144973

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Web page: http://www.fooddynamics.org/

Related research

Keywords: commodity prices; information; futures markets; Mixture Distribution Hypothesis; egarch; Agribusiness; Agricultural Finance; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; C32; G13; G14; Q11;

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  1. Kalev, Petko S. & Liu, Wai-Man & Pham, Peter K. & Jarnecic, Elvis, 2004. "Public information arrival and volatility of intraday stock returns," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1441-1467, June.
  2. Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
  3. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-21, March.
  4. Harris, Lawrence, 1987. "Transaction Data Tests of the Mixture of Distributions Hypothesis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(02), pages 127-141, June.
  5. Laura Veldkamp, 2004. "Media Frenzies in Markets for Financial Information," Econometric Society 2004 North American Winter Meetings 4, Econometric Society.
  6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
  7. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-55, January.
  8. Mitchell, Mark L & Mulherin, J Harold, 1994. " The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-50, July.
  9. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
  10. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  11. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
  12. Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March.
  13. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
  14. Ederington, Louis H & Lee, Jae Ha, 1993. " How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-91, September.
  15. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
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