双因素CIR模型中零息债券定价的数值方法比较

IF 0.1 Q4 BUSINESS, FINANCE South African Actuarial Journal Pub Date : 2021-01-28 DOI:10.4314/SAAJ.V20I1.5
S. Emslie, S. Mataramvura
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引用次数: 0

摘要

在本文中,我们使用各种数值格式在Cox–Ingersoll–Ross(CIR)双因素模型下对零息债券进行定价。据我们所知,闭形式或显式价格函数并非微不足道,研究较少。使用和比较几种数值方法来确定债券价格是本文的一个贡献。常微分方程、有限差分格式和模拟是所考虑的三类数值方法。基于计算效率和精度对这些方法进行了比较,本文的第二个目的是确定最有效的数值方法。用于求解由CIR模型的仿射结构引起的常微分方程组的数值常微分方程方法比所考虑的其他类别的方法更准确、更有效,其中Runge–Kutta常微分方程法是最有效的。交替方向隐式(ADI)方法是所考虑的有限差分格式方法中最有效的,而模拟方法被证明是低效的。我们选择考虑这些方法,而不是其他已知的和明显新的数值方法(如快速傅立叶变换(FFT)方法、余弦(COS)方法等),是因为它们在处理利率工具时很受欢迎。
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Comparison of numerical methods to price zero coupon bonds in a two-factor CIR model
In this paper we price a zero coupon bond under a Cox–Ingersoll–Ross (CIR) two-factor model using various numerical schemes. To the best of our knowledge, a closed-form or explicit price functional is not trivial and has been less studied. The use and comparison of several numerical methods to determine the bond price is one contribution of this paper. Ordinary differential equations (ODEs) , finite difference schemes and simulation are the three classes of numerical methods considered. These are compared on the basis of computational efficiency and accuracy, with the second aim of this paper being to identify the most efficient numerical method. The numerical ODE methods used to solve the system of ODEs arising as a result of the affine structure of the CIR model are more accurate and efficient than the other classes of methods considered, with the Runge–Kutta ODE method being the most efficient. The Alternating Direction Implicit (ADI) method is the most efficient of the finite difference scheme methods considered, while the simulation methods are shown to be inefficient. Our choice of considering these methods instead of the other known and apparently new numerical methods (eg Fast Fourier Transform (FFT) method, Cosine (COS) method, etc.) is motivated by their popularity in handling interest rate instruments.
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South African Actuarial Journal
South African Actuarial Journal BUSINESS, FINANCE-
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