In this paper I test for and model volatility jumps for the General Index (GD) of the Athens Stock Exchange (ASE …-of-the-art realized volatility estimators which I then use in testing and modeling for volatility jumps in the General Index of the ASE … volatility which are then used in modeling realized volatility with the class of Heterogeneous Autoregressive (HAR) models. This …

Volatility clustering and asymmetry are considered as an essential element in time series data analysis for portfolio … managers. This study is conducted to analyze the volatility clustering and asymmetry occurrence by employing different GARCH … findings of the study show that volatility clustering increases the asymmetric comportment of daily stock market returns. We …

volatility level. Single-factor stochastic volatility models are not flexible enough to account for the stochastic behavior of … the skew. On the other hand, multifactor stochastic volatility models are able to account for the existence of stochastic … that the consideration of additional volatility factors in the context of stochastic volatility models allows us to …

, provided they capture an asymmetric volatility response and a heavy-tailed returns distribution. Moreover, on ranking each …

liquid instrument suffers from liquidity shocks that induce periods of increased volatility and significant return … their historical limits, counterparties for trades become scarce and prices must adjust to induce trade. These liquidity …

volatility, tail risk, distress risk, or equity discount rates, but it can be partly explained by the market's discounting of …