摘要
本文针对遗传算法的多项式样条函数利率期限模型中,单纯遗传算法在进化过程中容易丧失样本多样性的缺陷,提出一种基于成长机制的遗传算法,改进单纯遗传算法的求解能力,并利用2016年10月21日国债市场上10只性质一致的国债进行实证比较。实验证明,从定价误差角度来看,所提算法优于后者,能够较为精确地描述国债收益率与期限之间的关系。最后为我国国债市场的发展和相关政策制定提供相应参考建议。
Directed at the simple genetic algorithm that is easy to lose the sample diversity of evolution process in interest Rate term structure model of polynomial spline function based on genetic algorithms. The paper proposes a genetic algorithm based on growth mechanism, improves the solving ability of simple genetic algorithm, and uses ten national debt which are consistency property in October 21, 2016 to empirical comparison. Experiments shows that the proposed algorithm is superior to the latter, andcan describe the relationship between bond yield and maturity more accu-ratelyfrom the point of view of mispricing. Finally for the development and relevant policy-making ofnational debt market in China, provides reference suggestions.
出处
《价格理论与实践》
CSSCI
北大核心
2017年第10期126-129,共4页
Price:Theory & Practice
基金
国家自然科学基金项目<我国通胀预期和风险溢价与宏观因子作用机制的计量研究>(项目编号:71273044)
东北财经大学科研重点研究基地项目<我国通胀预期不确定性与通胀溢价和货币政策的影响关系研究>(项目编号:2014029)经费支持
关键词
国债收益率
利率期限结构
成长机制遗传算法
定价误差
Treasury Yields
IntereSt Rate Term Structure
Growth Mechanism of Genetic Algorithm
Mispricing