Futures Markets and Macroeconomics: Empirical Evidence from China

Tian Chen Gao, Hui Gao
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Abstract

This paper uses the methods of Granger causality test, cointegration relationship test, error correction model and shock response function in cointegration correlation theory, and uses the monthly data from 2003.1 to 2023.5 to study the role and influence of futures market variables (price index, total turnover, total open interest) on sixteen macroeconomic variables. The results show that the three indicators of the futures market have a guiding effect on industrial added value, net export, fiscal revenue and fiscal expenditure at the same time. The price index and total turnover also have a guiding effect on the interbank  7-day interest rate and the RMB real effective exchange rate index. The total turnover and total open interest also have a strong guiding effect on the total import and export volume, the investment amount of fixed assets, and the total retail sales of social consumer goods. The price index also has a strong guiding effect on the producer price index, total loans, and the exchange rate of the US dollar against the RMB. The total open interest also has a strong guiding effect on the total loan. The cointegration test and error correction model show that in the short and long term, the futures market variables have a strong or weak quantitative impact on twelve macro variables, and the shock response function curve shows that the futures market variables have different impact effects on twelve macro variables. It shows that the futures market has a relatively strong impact on the macroeconomy, but there is still much room for improvement in the scope and depth of influence. It is suggested that the futures market should make efforts in terms of variety expansion, internationalization and supervision to further promote the comprehensive development of the domestic macroeconomy.
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期货市场与宏观经济:中国的经验证据
本文运用协整相关理论中的格兰杰因果检验、协整关系检验、误差修正模型和冲击响应函数等方法,利用2003.1-2023.5月度数据,研究期货市场变量(价格指数、总成交额、总持仓量)对十六个宏观经济变量的作用和影响。结果表明,期货市场的三个指标同时对工业增加值、净出口、财政收入和财政支出具有引导作用。价格指数和总成交额对银行间 7 天利率和人民币实际有效汇率指数也有引导作用。总成交额和总利息对进出口总额、固定资产投资额和社会消费品零售总额也有很强的引导作用。价格指数对生产者价格指数、贷款总额、美元兑人民币汇率也有很强的指导作用。公开市场利息总额对贷款总额也有很强的导向作用。协整检验和误差修正模型表明,从短期和长期来看,期货市场变量对十二个宏观变量的数量影响有强有弱,冲击响应函数曲线表明,期货市场变量对十二个宏观变量的影响效果各不相同。由此可见,期货市场对宏观经济的影响相对较强,但在影响的广度和深度上还有很大的提升空间。建议期货市场在品种拓展、国际化、监管等方面下功夫,进一步促进国内宏观经济的全面发展。
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