Varying-coefficient linear models arise from multivariate nonparametric regression, nonlinear time series modelling and forecasting, functional data analysis, longitudinal data analysis, and others. It has been a common practice to assume that the vary-coefficients are functions of a given...

We reexamine the empirical relevance of habit formation preferences with micro-data on households' portfolio choices. We first derive the analytical solution to the risky asset share in a theoretical model with both habits and time-varying labor income. Our analytical results indicate that (1)...

We analyze whether relative risk aversion varies with wealth. We first derive theoretical predictions on how risky shares respond to wealth fluctuations in a portfolio choice model with both external habits and time-varying labor income. Our analytical results indicate that: (1) for each...

In this paper we study time-varying coefficient models with time trend function and serially correlated errors to characterize nonlinear, nonstationary and trending phenomenon in time series. Compared with the Nadaraya-Watson method, the local linear approach is developed to estimate the time...

This paper gives a selective review on the recent developments of nonparametric methods in continuous-time finance, particularly in the areas of nonparametric estimation of diffusion processes, nonparametric testing of parametric diffusion models, and nonparametric pricing of derivatives. For...