统计研究

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基于Copula模型的棉花收入保险费率测算研究

晁娜娜等   

  • 出版日期:2017-08-15 发布日期:2017-08-25

A Study on Estimation of Premium for Cotton Revenue Insurance based on Clayton Copula Function

Chao Nana et al.   

  • Online:2017-08-15 Published:2017-08-25

摘要: 在新疆推行棉花收入保险有助于维护我国棉花产业的稳定发展。本文以新疆棉花为研究对象,设定棉花期货市场为有效市场,采用棉花单产及11月棉花期货合约价格,测算了棉花单位面积产量风险及价格风险,运用ClaytonCopula模型模拟了两变量的联合风险分布,测算了4种不同保障收入及其不同保障水平下的收入保险费率。研究发现:模拟的棉花亩期望收入具有合理性,在棉花总成本75%的保障水平以下试行收入保险具有可行性,测算结果具有一定的实践指导价值。

关键词: 新疆棉花, 棉花期货价格, 收入保险, Copula函数, 费率测算

Abstract: The cotton revenue insurance promoted in Xinjiang is helpful for the steady development of cotton industry in China. Focusing on the cotton in Xinjiang, this paper measures the cotton revenue premium rates under 4 scenarios with various secured incomes and revenue premium rates under these secured income by using the cotton yield and cotton futures prices in November contracts, estimating the production risks of unit cotton area and price risks, and simulating the joint risk distribution with these two variables in Clayton Copula function, with the assumption that the cotton futures market is effective. It shows that the simulated revenue is reasonable and at the level of 75% of the total cotton cost to be secured the revenue insurance to be applied is much practical. The measurement results achieved is quite applicable in reality.

Key words: Xinjiang Cotton, Cotton Futures Price, Revenue Insurance, Copula function, Premium Rate