In this paper, we propose a nonparametric identification and estimation procedure for an It6 diffusion process based on discrete sampling observations. The nonparametric kernel estimator for the diffusion function developed in this paper deals with general It6 diffusion processes and avoids any...

This paper develops a nonparametric model of interest rate term structure dynamics based on a spot rate process that permits only positive interest rates and a market price of interest rate risk that precludes arbitrage opportunities. Both the spot rate process and the market price of interest...

Existing literature has documented a number of cross-sectional stock return predictive patterns or the so-called anomalies. This paper examines two important issues: are the anomalies pervasive in different stock samples and do factor models provide valid inferences on anomalous returns? First,...

In this paper, we show that conditions derived under the CAPM ensure only weak exogeneity in a linear regression setting. Since strong exogeneity is not guaranteed, the OLS estimator of CAPM beta is only consistent but not necessarily unbiased. We provide empirical evidence that individual daily...