Arbitrage is non-parametrically examined and empirically analyzed in US equity markets. Firstly, analyzed are the properties of arbitrage; and secondly, the factors explaining arbitrage are tested. Empirical analysis concerns a decade of intraday data of five US equity indices and is also...

We test for and model the volatility jumps for three major indices of the Athens Stock Exchange (ASE). Using intra-day data we first construct several, state-of-the-art realized volatility estimators. We use these estimators to construct the jump components of volatility and perform various...

Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six international equity indices. We detect jumps in these estimators, construct the jump components of volatility and perform various tests on their properties. Then we use the class of...

The intraday nonparametric estimation of the variance–covariance matrix adds to the literature in portfolio analysis of the Greek equity market. This paper examines the economic value of various realized volatility and covariance estimators under the strategy of volatility timing. I use three...

Range-based volatility estimators are analyzed in both daily and intraday sampling frequency and are also compared to the realized volatility estimator. The family of realized range-based estimators is extended as three range-based estimators are introduced. These three realized Parkinson...

In this paper I examine the properties of four realized correlation estimators and model their jumps. The correlations are between the French, German and Greek equity markets. Using intraday data I first construct four state-of-the-art realized correlation estimators which I then use to testing...