Nonparametric Pricing of Interest Rate Derivative Securities

Yacine Ait-Sahalia
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引用次数: 15

Abstract

We propose a nonparametric estimation procedure for continuous- time stochastic models. Because prices of derivative securities depend crucially on the form of the instantaneous volatility of the underlying process, we leave the volatility function unrestricted and estimate it nonparametrically. Only discrete data are used but the estimation procedure still does not rely on replacing the continuous- time model by some discrete approximation. Instead the drift and volatility functions are forced to match the densities of the process. We estimate the stochastic differential equation followed by the short term interest rate and compute nonparametric prices for bonds and bond options.
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利率衍生证券的非参数定价
提出了一种连续时间随机模型的非参数估计方法。由于衍生证券的价格在很大程度上取决于基础过程的瞬时波动的形式,因此我们不限制波动函数并对其进行非参数估计。虽然只使用离散数据,但估计过程仍然不依赖于用某种离散近似代替连续时间模型。相反,漂移和挥发性函数被迫与过程的密度相匹配。我们先估计随机微分方程,然后估计短期利率,然后计算债券和债券期权的非参数价格。
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