The estimation and the analysis of long memory parameters have mainly focused on the analysis of long-range dependence in stock return volatility using traditional time and spectral domain estimators of long memory. The definitive ubiquity and existence of long memory in the volatility of stock...

In this article, we test a linear Gaussian space model and the Kalman filter ARMA(1,3) model to estimate logarithmic monthly returns of US corporate bonds. The purpose of this article is to estimate expectations that arise from the interaction of arbitrageurs and noise traders. An arbitrageur...

This paper develops a method to improve the estimation of jump variation using high frequency data with the existence of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component of volatility in finance for portfolio allocation,...