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An Intervention Analysis on the Tokyo Grain Exchange Non- Genetically Modified and Conventional Soybean Futures Market

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  • Aruga, Kentaka

Abstract

This paper examines how efficiently the price premium for non-genetically modified (non-GM) soybeans at the Tokyo Grain Exchange (TGE) react to an announcement to change the contract unit, suppliers, and expiration date on the conventional soybean futures contract. Intervention analysis is used for this purpose. The results reveal that the price premium for non-GM soybeans increases after the change and this effect remains at least for a month. Hence, prices of the two soybean futures markets did not respond quickly to the announcement and there was an informational inefficiency after the announcement occurred.

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File URL: http://mpra.ub.uni-muenchen.de/36088/
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File URL: http://mpra.ub.uni-muenchen.de/36150/
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File URL: http://mpra.ub.uni-muenchen.de/56250/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 36088.

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Date of creation: 09 Nov 2011
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Handle: RePEc:pra:mprapa:36088

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Related research

Keywords: price premium; non-genetically modified soybeans; conventional soybeans; intervention analysis; Tokyo Grain Exchange;

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  1. McCluskey, Jill J. & Grimsrud, Kristine M. & Ouchi, Hiromi & Wahl, Thomas I., 2003. "Consumer Response to Genetically Modified Food Products in Japan," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 32(2), October.
  2. Bullock, David S. & Desquilbet, Marion & Nitsi, Elisavet I., 2000. "The Economics Of Non-Gmo Segregation And Identity Preservation," 2000 Annual meeting, July 30-August 2, Tampa, FL 21845, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Wachenheim, Cheryl J. & Vanwechel, Tamara, 2004. "The Influence Of Environmental-Impact Information On Consumer Willingness To Pay For Products Labeled As Free Of Genetically Modified Ingredients," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(02), July.
  4. 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.
  5. Wallace E. Huffman, 2003. "Consumers' Acceptance of (and Resistance to) Genetically Modified Foods in High-Income Countries: Effects of Labels and Information in an Uncertain Environment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(5), pages 1112-1118.
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