Nonparametric estimation of state-price densities implicit in financial asset prices

Yacine Aït-Sahalia, A. Lo
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引用次数: 739

Abstract

Implicit in the prices of traded financial assets are Arrow-Debreu state prices or, in the continuous-state case, the state-price density (SPD) that may be used to price all assets, traded or non-traded. Using recently developed techniques in nonparametric analysis, we construct an estimator for the SPD implicit in financial asset prices and we derive an asymptotic sampling theory for this estimator to gauge its accuracy. We perform Monte Carlo simulation experiments to see whether the SPD estimator can be used successfully to price and hedge derivative securities, and we also provide several illustrative empirical examples using both hypothetical and actual options prices on S&P 500 index options.
隐含在金融资产价格中的国家价格密度的非参数估计
交易金融资产价格中隐含的是阿罗-德布鲁状态价格,或者在连续状态情况下,可以用来为所有交易或非交易资产定价的状态-价格密度(SPD)。利用最近发展的非参数分析技术,我们构造了金融资产价格中隐含SPD的估计量,并推导了该估计量的渐近抽样理论来衡量其准确性。我们进行了蒙特卡罗模拟实验,看看SPD估计器是否可以成功地用于衍生品证券的定价和对冲,我们还提供了几个说明性的经验例子,使用标准普尔500指数期权的假设和实际期权价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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