指定做市商与农产品期货市场质量:来自中国大连商品交易所的证据

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY
Miao Li, Tao Xiong, Ziran Li, Wendong Zhang
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引用次数: 0

摘要

许多金融市场都使用指定做市商(DMM),但DMM对农产品期货市场的影响--尤其是如何在不同月份到期的合约中安排DMM--在很大程度上被忽视了。2017年,中国的交易所开始在不活跃合约变为邻近合约时招募DMM,以解决最近到期合约交易活动不连续的问题,这使我们能够利用准实验框架研究为不活跃合约招募DMM的收益和成本。利用玉米和豆粕期货的逐笔数据,我们发现 DMM 提高了不活跃合约的市场质量,而不会破坏优势合约的市场质量。政策设置的异质性分析表明,更多的 DMM 有利于提高玉米和豆粕期货的市场质量。我们证明了 DMM 政策是促进中国农产品期货市场持续活跃的可行措施。我们的研究结果对于交易所和监管机构更好地设计和实施农产品期货市场指定做市商计划具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designated market makers and agricultural futures market quality: Evidence from China's Dalian commodity exchange

Many financial markets use designated market makers (DMMs), but the impacts of DMMs on agricultural futures markets – and in particular, how to arrange DMMs among contracts expiring in different months – are largely neglected. In 2017, Chinese exchanges started recruiting DMMs for inactive contracts when they become nearby contracts to address the discontinuous trading activity of nearest-to-maturity contracts, which enables us to study the benefit and cost of recruiting DMMs for inactive contracts using a quasi-experimental framework. Leveraging tick-by-tick data on corn and soybean meal futures, we find that DMMs improve the market quality of inactive contracts without disrupting the market quality of dominant contracts. Heterogeneity analysis in policy settings suggests that more DMMs are conducive to improving market quality for corn and soybean meal futures. We demonstrate that DMM policy is a feasible measure to facilitate continuous activeness in Chinese agricultural futures markets. Our results are important for exchanges and regulators seeking to better design and implement designated market-making programs in agricultural futures markets.

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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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