Option Pricing with Model-Guided Nonparametric Methods
55 Pages Posted: 20 Feb 2007 Last revised: 13 Feb 2009
Date Written: February 9, 2009
Abstract
Parametric option pricing models are largely used in Finance. These models capture several features of asset price dynamics. However, their pricing performance can be significantly enhanced when they are combined with nonparametric learning approaches that learn and correct empirically the pricing errors. In this paper, we propose a new nonparametric method for pricing derivatives assets. Our method relies on the state price distribution instead of the state price density because the former is easier to estimate nonparametrically than the latter. A parametric model is used as an initial estimate of the state price distribution. Then the pricing errors induced by the parametric model are fitted nonparametrically. This model-guided method estimates the state price distribution nonparametrically and is called Automatic Correction of Errors (ACE). The method is easy to implement and can be combined with any model-based pricing formula to correct the systematic biases of pricing errors. We also develop a nonparametric test based on the generalized likelihood ratio to document the efficacy of the ACE method. Empirical studies based on S&P 500 index options show that our method outperforms several competing pricing models in terms of predictive and hedging abilities.
Keywords: Nonparametric regression, state price distribution, model misspecification, out-of-sample analysis, generalized likelihood ratio test
JEL Classification: C14, G13
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Transform Analysis and Asset Pricing for Affine Jump-Diffusions
By Darrell Duffie, Jun Pan, ...
-
Transform Analysis and Asset Pricing for Affine Jump-Diffusions
By Darrell Duffie, Jun Pan, ...
-
The Impact of Jumps in Volatility and Returns
By Michael S. Johannes, Bjorn Eraker, ...
-
Implied Volatility Functions: Empirical Tests
By Bernard Dumas, Jeff Fleming, ...
-
Recovering Risk Aversion from Option Prices and Realized Returns
-
Recovering Probabilities and Risk Aversion from Option Prices and Realized Returns
-
Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options
By Gurdip Bakshi, Nikunj Kapadia, ...
-
Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options
By Nikunj Kapadia, Gurdip Bakshi, ...
-
Nonparametric Estimation of State-Price Densities Implicit in Financial Asset Prices
By Yacine Ait-sahalia and Andrew W. Lo