We estimate the daily integrated variance and covariance of stock returns using high-frequency data in the presence of jumps, market microstructure noise and non-synchronous trading. For this we propose jump robust two time scale (co)variance estimators and verify their reduced bias and mean...

This paper proposes a new class of nonlinear interval models for interval-valued time series (ITS). By matching the interval model with interval observations, we develop a nonlinearminimum-distance estimation method for the proposed models, and establish the asymptotictheory for the proposed...

This article investigates returns and volatility linkages among stock markets, including emerging Asian (e.g., India, China, Bangladesh, Malaysia, Philippine, and South Korea) stock markets and developed (e.g., United States, United Kingdom, Japan, and Singapore) stock markets. During the sample...