Fundamental Surprises, Market Structure, and Price Formation in Agricultural Commodity Futures Markets

Xiaodong Du, S. Kane
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Abstract

Our study seeks to provide a better understanding of price formation process and determining factors of price volatility in agricultural commodity markets. We focus on corn and soybean futures traded in CBOT (Chicago Board of Trade). We innovatively construct two sets of variables to represent fundamental changes and market structure of the commodity markets. Fundamental changes are captured by the deviations of the supply and demand condition estimates released by USDA from the pre-announcement analysts’ forecasts published by Bloomberg. We employ the transaction databases of CFTC (Commodity Futures Trading Commission) to construct the percentage shares of detailed participation group trading in the market. While fundamental changes are based on public observations and analysis, transaction percentage shares of trader groups are private information of individual traders. Both the fundamental surprises and the market structure related variables are found to have statistically significant effects on price and price volatility. Furthermore, the impacts vary across quantiles of the conditional distributions.
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农产品期货市场的基本意外、市场结构和价格形成
我们的研究旨在更好地理解农产品市场价格形成过程和价格波动的决定因素。我们关注芝加哥期货交易所(CBOT)的玉米和大豆期货。我们创新性地构建了两组变量来表示商品市场的基本变化和市场结构。美国农业部发布的供需状况估计值与彭博社(Bloomberg)发布的分析师预测之间的偏差体现了根本性的变化。我们利用美国商品期货交易委员会(CFTC)的交易数据库来构建详细参与群体交易在市场中的百分比份额。虽然基本变化是基于公众观察和分析,但交易者群体的交易百分比份额是个人交易者的私人信息。发现基本面意外和市场结构相关变量对价格和价格波动都有统计上显著的影响。此外,影响在条件分布的各个分位数之间有所不同。
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