In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and … indices and foreign exchange rates. -- Stochastic volatility ; Markov chain Monte Carlo ; Metropolis-Hastings algorithm Jump …

require to bear the risk of fluctuations in stock market volatility. We develop a model in which return volatility and … volatility risk-premia are stochastic and derive no-arbitrage conditions linking volatility to macroeconomic factors. We estimate … realized volatility. We find that volatility risk-premia are strongly countercyclical, even more so than standard measures of …

require to bear the risk of fluctuations in stock market volatility. We develop a model in which stock volatility and … volatility risk-premia are stochastic and derive no-arbitrage conditions linking volatility to macroeconomic factors. We estimate … realized volatility. We find that volatility risk-premia are strongly countercyclical, even more so than standard measures of …

. Proposed extensions include a volatility regime switching mechanism (using dummy variables and the Markov approach) and the … fifth risk factor based on realized volatility of index returns. Moreover, instead of using data for stocks of a particular …

dynamic factor and a vector autoregressive model and includes stochastic volatility, denoted by FAVAR-SV. Next, a Bayesian … risk features like volatility and largest loss, which indicates that complete densities provide useful information for risk. …

and the short-run or transitory components of the volatility of daily stock market returns using bivariate mixture models …. For this purpose, the Standard bivariate mixture model of Tauchen and Pitts (1983) in which volatility and volume are … each endowed with their own dynamic behavior are allowed to direct volatility and volume. Since the latent information …

frequency can be obtained almost as precisely as if volatility is observable by simply incorporating the strong information … content of realized volatility measures extracted from high-frequency data. For this purpose, we introduce asymptotically … exact volatility measurement equations in state space form and propose a Bayesian estimation approach. Our highly efficient …

leverage effect and the volatility feedback effect. We stress the importance of distinguishing between realized volatility and … implied volatility, and find that implied volatilities are essential for assessing the volatility feedback effect. The … leverage hypothesis asserts that return shocks lead to changes in conditional volatility, while the volatility feedback effect …