The cumulative covariance estimator in Hayashi and Yoshida (2005b) which suits for non-synchronous observations possibly has a bias in the presence of the observational noise. We propose the test statistic to detect whether the observational noise causes a measurable bias in the estimator of...

There are many approaches for estimating an integrated variance and covariance in the presence of market microstructure noise. It is important to know a dependence of noise to construct the integrated variance and covariance estimators. We study a time dependence of bivariate noise processes in...

The cumulative covariance estimator in Hayashi and Yoshida (2005) which suits for non-synchronous observations possibly has a bias in the presence of the observational noise. We propose the test statistic to detect whether the observational noise causes a measurable bias in the estimator of...

In this paper we analyze return and volatility spillovers during overlapping trading hours between China (Shanghai Composite Index) and Japan (Nikkei 225 Index) using intraday high-frequency data. We first adjusted the 5-min. returns for intraday periodicity with Flexible Fourier Form (FFF)....

We analyze the mechanism of return and volatility spillover effects from the Chinese to the Japanese stock market. We construct a stock price index comprised of those companies that have substantial operations in China. This China-related index responds to changes in the Shanghai Composite Index...

This paper analyzes intraday volatility of the stock markets of mainland China, Hong Kong, Japan, and the US for the period of two months around the Lehman crisis. Specifically, dividing the observation period from July 15 to November 28, 2008 into two sub-periods at the failure of Lehman...

This paper analyzes intraday volatility of the stock markets of mainland China, Hong Kong, Japan, and the US for the period of two months around the Lehman crisis. Specifically, dividing the observation period from July 15 to November 28, 2008 into two sub-periods at the failure of Lehman...