We propose a least squares regression framework for the estimation of the realized covariation matrix using high frequency data. The new estimator is robust to market microstructure noise (MMS) and non-synchronous trading. Comprehensive simulation and empirical analysis show that our estimator...

This paper comprehensively investigates the role of realized jumps detected from high frequency data in predicting future volatility from both statistical and economic perspectives. Using seven major jump tests, we show that separating jumps from diffusion improves volatility forecasting both...

We investigate the pricing of volatility risks in currency markets. First, we show that pricing ability of volatility risk is concentrated in some of its components. Diffusive volatility dominates jump volatility in pricing carry trade returns, while jump volatility is important in jointly...