methods for computing it: historical simulation; the variance-covariance method; and Monte Carlo or stochastic simulation. We …

-based framework for the analysis of stochastic volatility models. A highly effective method is developed that samples all the …. This approach is compared with several alternative methods using real data. The paper also develops simulation- based …-nested likelihood ratios and Bayes factors is also investigated. These methods are used to compare the fit of stochastic volatility and …

impacts on regional struc­tural change. At the centre of the thesis is the development of the spatial and dynamic simula­tion …

Using an aggregate econometric model for the EU we investigate by simulation methods some dynamic paths of the European …

two basic ways of assessing future inflation: forecast and simulation. A forecast is the most likely picture of the future … differentiating between a forecast and a simulation, we discuss the pros and cons of using the two ways of assessing future inflation …Inflation targeting is a regime based to a great extent on communication and, more specifically, on using and …

A simple transform of a standard uniform variate is given for simulation of the maximum attained by a Wiener process …