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The fuzzy term structure of interest rates of the National Debt Market in China

机译:中国国债市场利率的模糊期限结构

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Some financial variables can always be observed with perturbations and be expected in the imprecise sense as a result of the fluctuation of financial markets from time to time. Therefore, this paper estimated the fuzzy term structure of interest rates of the National Debt Market in China based on fuzzy regression and fuzzy programming techniques. This method will enable to quantify the anticipated rates in the national debt markets for the future with fuzzy numbers. In order to construct the membership function of this fuzzy term structure of interest rates, it was approximated by using a triangular fuzzy number. Then a fuzzy programming procedure was applied to determine its lower bound and upper bound. Finally, the proposed fuzzy estimation model is tested with the national debt market data in China. The empirical results indicated that the proposed method was a useful tool for modeling the imprecise problems in the fixed income markets.
机译:由于金融市场不时的波动,某些金融变量总是可以被扰动地观察到,并且在不精确的意义上被预期。因此,本文基于模糊回归和模糊规划技术,估算了中国国债市场利率的模糊期限结构。这种方法将能够用模糊数字量化未来国家债券市场的预期利率。为了构造该利率的模糊期限结构的隶属函数,使用三角模糊数对其进行近似。然后应用模糊规划程序确定其下界和上限。最后,利用中国国债市场数据对提出的模糊估计模型进行了检验。实证结果表明,该方法是建模固定收益市场中不精确问题的有用工具。

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