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A Granger Causality Method to Testing Relations between Price of Agro-Share Sector and National Agriculture Economy

机译:一种经济份额与国家农业经济价格测试关系的格兰杰因果关系

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In this paper, the cross-correlation analysis methods and Granger causality test methods are applied to inspect the relationship between main agricultural economic variables and agricultural stock price index. The research results indicate that the agricultural index can reflect ahead of 6-9 months the change of the main agricultural economic variables such as gross agricultural products, and plays a role of "barometer" to some extent for agricultural economy.
机译:本文采用了互相关分析方法和格兰杰因果态测试方法来检查主要农业经济变量与农业股价指数之间的关系。研究结果表明,农业指标可以提前6-9个月,农产品总经济变化的变化,并在一定程度上发挥着“晴雨表”的作用。

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