allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a … provide a statistical approach to estimate the volatility of these factors. The efficacy of this approach relative to the use … of models based on squared returns is demonstrated for forecasts of the market volatility and a portfolio allocation …

This paper features an analysis of the cointegration relationships among agricultural commodity, ethanol and Cushing … cointegration and Markov-switching VECM and Impulse Response Analysis, confirms that these markets have significant linkages which … vary according to whether they are in low or high volatility regimes. …

In this paper, we study the dynamic interdependencies between high-frequency volatility, liquidity demand as well as …. Liquidity is causal for future volatility but not vice versa. Furthermore, trade sizes are negatively driven by past trading … ; volatility ; liquidity ; high-frequency data …

Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …

foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial … Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We … by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and …

The adjusted measure of realized volatility suggested in [20] is applied to high- frequency orderbook and transaction … data of DAX and BUND futures from EU- REX in order to identify the drivers of intraday volatility. Four components are … realized volatility can be predicted by a simple linear model based on the components identified. It is shown how the …