The least squares Monte Carlo method of Longstaff and Schwartz (2001) has become a standard numerical method for option pricing with many potential risk factors. An important choice in the method is the number of regressors to use and using too few or too many regressors leads to biased results....

This paper develops a fast and numerically efficient method for pricing options, particularly with early exercise features, with state of the art simulation and regression based methods. Assuming nothing but homogeneity of the option price, a property satisfied by most option pricing models, and...

This paper considers estimation of price sensitivities, so-called Greeks, for American style options using flexible simulation methods combined with initial dispersed state variables. The asymptotic properties of the estimators are studied and convergence of the method is established under mild...

This paper proposes an innovative algorithm that significantly improves on the approximation of the optimal early exercise boundary obtained with simulation based methods for American option pricing. The method works by exploiting and leveraging the information in multiple cross sectional...

This paper develops a method to estimate price sensitivities, so-called Greeks, for American style options using flexible simulation methods combined with initially dispersed state variables. The asymptotic properties of the estimators are studied, and convergence of the method is established. A...

In relation to creating a CO2 emission permit market, there are two types of climate change policy risks: 1) It is uncertain whether and when a cap-and-trade system will be implemented; and 2) once a policy is in place, there may be government credibility issues. This paper examines the effect of...

This paper proposes an improved estimation and calibration method to a family of GARCH models. The suggested method fixes one parameter such that the unconditional kurtosis of the model matches the sample kurtosis. The method can be used to estimate the model on historical returns, or calibrate...

Using Quantile-Preserving Spreads and Stochastic Dominance, this paper studies how modifying a real option's characteristic affects the real option holding value and optimal exercise decision. We find that the direction of change in exercise probability and timing depends on the preserved...