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...

This paper applies a novel methodology to a unique dataset of large concentrations during the period 1990-2002 to assess merger control's effectiveness. By using data gathered from several sources and employing different evaluation techniques, we analyze the economic effects of the European...

We define a dynamic and self-adjusting mixture of Gaussian Graphical Models to cluster financial returns, and provide a new method for extraction of nonparametric estimates of dynamic alphas (excess return) and betas (to a choice set of explanatory factors) in a multivariate setting. This...

This paper applies an intuitive approach based on stock market data to a unique dataset of large concentrations during the period 1990-2002 to assess the effectiveness of European merger control. The basic idea is to relate announcement and decision abnormal returns. Under a set of four...

The purpose of the regulated halts on stock exchange markets is to spread the information on the market and to protect the interests of the small shareholders. The aim of this work is to empirically investigate the price limits on the French stock exchange market. We analyze the impact of such...

The aim of this paper is to use an econometric model for the period (3/1/2000- 31/12/2016) in order to examine if a (Μ&Α) affects the share prices of eight big US acquiring banks. GARCH analysis will be thus used on daily data. Some advantages of GARCH models will be explained

We apply a jump GARCH model to daily returns of the ten largest international securitized real estate markets and investigate the sources of large price changes. We document, for the first time, evidence for jump dynamics across major international securitized real estate markets. Large price...

We investigate predictive abilities of nonlinear models for stock returns when density forecasts are evaluated and compared instead of the conditional mean point forecasts. The aim of this paper is to show whether the in-sample evidence of strong nonlinearity in mean may be exploited for...