Title :
Trend Decomposition, informativeness and co-integration of futures market price discovery
Author_Institution :
Inst. of Syst. Eng., Southeast Univ., Nanjing, China
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;
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
DOI :
10.1109/AIMSEC.2011.6010370