Empirical Properties, Information Flow, and Trading Strategies of China's Soybean Crush Spread

AuthorQingfeng Wilson Liu,Hui He Sono
Published date01 November 2016
DOIhttp://doi.org/10.1002/fut.21777
Date01 November 2016
Empirical Properties, Information Flow,
and Trading Strategies of Chinas
Soybean Crush Spread
Qingfeng WilsonLiu* and Hui He Sono
This study examines the empirical properties of soybean, soymeal, and soyoil futures prices at
Chinas Dalian Commodity Exchange. We nd that the three series are cointegrated, and that
the cointegration relationship is characterized by signicant seasonality and consistent time
trends. Further, employing a new trivariate VAR-GARCH model, we nd evidence of one-way
information ow from the soymeal and soyoil markets to the soybean market, but bidirectional
information ow and volatility spillover between the soymeal and soyoil markets. Trading
simulations based on the mean-reverting tendencies of the cointegration relationship and
5-day averages of the commonly-used spread both generate positive returns. © 2016 Wiley
Periodicals, Inc. Jrl Fut Mark 36:10571075, 2016
1. INTRODUCTION
The soybean crush spread measures the prot margin of soybean processors, who buy
soybeans and crushthem into soybean meal (soymeal) and soybean oil (soyoil).
Soybean processors are interested in using soybean futures crush spread for hedging
purposes, whereas traders seek protable trading opportunities generated by the spread.
As the world crush capacity increased in recent years, Chinas soybean crush capacity
grew rapidly and became the largest soybean crushing country in 2009 (See Figure 1a).
As a result, both Chinas soymeal and soyoil production took over the No.1 spot in the
worldandChinabecametheworlds largest importer of soybeans in 2013 (See
Figure 1b).
1
Fueled by the rapid growth in production and trade, the soymeal, soyoil and soybean
futures contracts at Chinas Dalian Commodity Exchange (DCE) also experienced
Qingfeng WilsonLiu and Hui He Sono are at the College of Business, James Madison University,
Harrisonburg, VA, USA. The authors would like to thank Alexander Kurov, the editor (Robert Webb), an
anonymous referee, and the participants at the 2014 EFA for comments that helped considerably improve the
paper. This work was supported by the College of Business, James Madison University.
*Correspondence author, MSC 0203, College of Business, James Madison University, Harrisonburg, VA 22807.
Tel: þ(540) 568-3086, Fax: (540) 568-3017, e-mail: liuqx@jmu.edu
Received September 2014; Accepted December 2015
1
Figure 1a and b are from USDA Foreign Agricultural Service. Figure 1a compares the soybean crush capacities of
the top four countriesChina, the U.S., Brazil and Argentina from 1964 to 2013. According to the USDA Foreign
Agricultural Service, Chinas total supply of soymeal in 2013 was 54.155 million metric tons, and the total supply of
soyoil in China was 14.616 million metric tons. Majority of soymeal and soyoil supply were for domestic
consumption. Figure 1b shows the soybean imports from 1964-2013. China accounts for about 76% of world total
soybean imports in 2013.
The Journal of Futures Markets, Vol. 36, No. 11, 10571075 (2016)
© 2016 Wiley Periodicals, Inc.
Published online 14 March 2016 in Wiley Online Library (wileyonlinelibrary.com).
DOI: 10.1002/fut.21777
exceptionally high growth in trading volume from 2008 to 2013.
2
Soybean processors in
China regularly participate in futures trading at the DCE to hedge their price risks. The
hedgers are mostly state-owned enterprises, as well as some private and foreign-funded
processing companies. On the other side of the transaction, the majority of the speculators
are individual market participants, along with some private enterprises as well. Furthermore,
the number of hedgers and speculators has been rising rapidly (Hong, Wang, & Liu, 2009). As
China has become such an important market for soymeal, soyoil, and soybeans, our
investigation of the crush spread in China would be important to the growing community of
futures traders.
A plethora of nance studies have explored the interactions among commodity futures
prices that are related to each other through production processes similar to the crush spread.
Examples include reners that long gasoline and heating oil and short crude oil futures (the
crack spread), electric utilities that long natural gas and short electricity futures (the spark
FIGURE 1
a: Soybean Crush Capacities (in 1000 Metric Tons, 19642013). b: Soybean Imports
(in 1000 Metric Tons, 19642013)
Note. Data of Figure 1a and b are from USDA Foreign Agricultural Service: http://apps.fas.usda.gov/
psdonline/psdDownload.aspx.
2
See the annual survey by Will Acworth, the Futures Industry Association, March 2014. According to the survey,
DCEs soymeal, soyoil and soybean futures contracts were all ranked No. 1 in trading volume in their respective
contracts in the world in 2013, and No. 1, 3, and 19, respectively among all agricultural futures and options
contracts. At the DCE, both soybean and soymeal futures contracts started trading in 1993, while the soyoil contract
was not launched until January 9, 2006.
1058 Liu and Sono

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