taxes is to contain price rise and volatility, to generate revenue, and to increase transparency, these arguments are …, volatility and transaction cost using a three-equation structural model for five top selected commodities namely Gold, Copper … cost and liquidity, and a positive relationship between transaction cost and volatility. Therefore, if the government …

-variance analysis of alternative investments has been hampered by the lack of a systematic treatment of volatility in these markets … underlying volatility. For example, in art markets, auction houses often give price guarantees to the seller that resemble put … the price index, allowing to treat the volatility parameter as the object of interest. The model can be estimated using …

on some high frequency basis has spurred the research in the field of volatility modeling and forecasting into new … directions. First, the realized variance is a much better estimate of the latent volatility than the sum of the weighted daily … squared returns. As such it is better suited for comparing the out-of-sample performances of competing volatility models …

achieve similar volatility than fully deregulated labor markets. Flexibility at the margin produces a gap in separation costs … de labor market volatility. This increased volatility is partially reverted when limitations in the duration and number … explain the similar volatility observed in many regulated OECD labor markets with flexibility at the margin vis-à-vis the …

Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components … forecasts which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo …

forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo … linear compared to optimal forecasts is small. Extending the number of volatility components beyond what is feasible with MLE …

This paper analyzes the impacts of news shocks on macroeconomic volatility. Whereas in any purely forward-looking model …, such as the baseline New Keynesian model, anticipation amplifies volatility, we obtain ambiguous results when including a …) to provide numerical evidence that news shocks increase the volatility of key macroeconomic variables in the euro area …

may be generalized, if we use alternative measures of volatility. We choose one feasible alternative and derive a … generalized volatility model. Applying this model to some exemplary market indices, we are able to give some empirical evidence …