DocumentCode
3169586
Title
Trend Decomposition, informativeness and co-integration of futures market price discovery
Author
Shi, Jixin
Author_Institution
Inst. of Syst. Eng., Southeast Univ., Nanjing, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
3575
Lastpage
3578
Abstract
In this paper Beveridge-Nelson Decomposition is used to examine trend content of soybean purchase price of oil plant in northeast China and soybean future prices of DCE and CBOT, in order to uncover full information in soybean´s price discovery process and avoid contemporaneous correlation. It was found that DCE price was consistently more imformative about the fundamental price of soybean because of its lower noise level. Co-integration analysis and error correction model proved that there is a long-term equilibrium among three sample series; however, no evidence shows co-integration between two futures prices. Both DCE price and CBOT price are Granger Causes of domestic spot price. Price discovery process in DCE is independent of CBOT while price in CBOT sharing information from DCE, due to current situation in Chinese soybean spot market.
Keywords
agriculture; pricing; vegetable oils; Beveridge-Nelson decomposition; CBOT; DCE; co-integration analysis; error correction model; market price discovery; oil plant; price discovery process; soybean price; trend decomposition; Aluminum; Biological system modeling; Correlation; Error correction; Industrial economics; Security; Beveridge-Nelson decomposition; agricultural futures markets; co-integration; error correction model; price discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6010370
Filename
6010370
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