We derive nonparametric tests of symmetry using asymmetric kernels with either shrinkingor fixed bandwidths. We show how to extend the approach to examine conditional symmetry byderiving conditions under which our tests are applicable to residuals from semiparametric modelswith a (sufficiently...

The pricing kernel puzzle is the observation that the pricing kernelmight be increasing in some range of the market returns. This paperanalyzes the pricing kernel in a nancial market equilibrium. If mar-kets are complete and investors are risk-averse and have common andtrue beliefs, the pricing...

We provide a new method to derive the state price density per unit probabilitybased on option prices and GARCH model. We derive the risk neutraldistribution using the result in Breeden and Litzenberger (1978) and thehistorical density adapting the GARCH model of Barone-Adesi, Engle, andMancini...

Credibility weighting is helpful in many insurance applications where sparse data crave information from other sources of data. In this paper we aim at estimating a hazard curve using the nonparametric kernel method...

"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an introductory chapter providing a framework of kernel methods; the others address Bioegineering, Signal Processing and Communications and...