Search Results
Report
Nonparametric pricing of multivariate contingent claims
In this paper, I derive and implement a nonparametric, arbitrage-free technique for multivariate contingent claim (MVCC) pricing. Using results from the method of copulas, I show that the multivariate risk-neutral density can be written as a product of marginal risk-neutral densities and a risk-neutral dependence function. I then develop a pricing technique using nonparametrically estimated marginal risk-neutral densities (based on options data) and a nonparametric dependence function (based on historical return data). By using nonparametric estimation, I avoid the pricing biases that result ...
Speech
Money markets after liftoff: assessment to date and the road ahead
Remarks at the 70th Anniversary Celebration of the School of International and Public Affairs at Columbia University, New York City.