long-run risks and fat tails, the pricing of VIX (CBOE Volatility Index) options and the market price of risk embedded in … estimate the structural parameters of the proposed model by maximum likelihood. I find that the stochastic volatility model … volatility risk. However, there is no consensus on the premium for market volatility risk. It can be positive or negative. The …

volatility on foreign exchange markets. Starting point is the market participant's microeconomic investment decision, which is … trading volume and volatility on foreign exchange markets. We apply various two-country-models with representative market …

into volatility persistence in stock returns. In part two, I show that the introduction of continuous trading on the WSE is … volatility on days after limit hits and positive autocorrelation in stock returns. I do not find significant advantages of this …

We quantify the effects on contingent claim valuation of using an estimator for the volatility of a geometric Brownian … motion (GBM) process. That is, we show what difficulties can arise when failing to account for estimation risk. Our working … problem uses a direct estimator of volatility based on the sample standard deviation of increments from the underlying …

standard and international trade. The estimation results allow us to formulate some interesting policy conclusions. …

This paper is concerned with the Bayesian analysis of stochastic volatility (SV) models with leverage. Specifically …, the paper shows how the often used Kim et al. [1998. Stochastic volatility: likelihood inference and comparison with ARCH … volatility innovations by a suitably constructed ten-component mixture of bivariate normal distributions. The resulting posterior …