A transformed metric entropy measure of dependence is studied which satisfies several desirable properties and is capable of impressive performance in identifying nonlinear dependence in time series. The measure is applicable for both continuous and discrete variables. A nonparametric kernel...

This paper applies recent tests of stochastic dominance of several orders proposed by Linton, Maasoumi and Whang (2003) to reexamine the equity premium puzzle. An advantage of this nonparametric framework is that it provides a means to assess whether the existence of a premium is due to an...

We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for the discount function although we do show how to impose various restrictions...

The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y=max[0,m(x)+e], where both the regression function m(x) and the distribution of the error e are unknown. This paper provides consistent estimators of m(x) and its derivatives with respect...