When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on realised or bipower variation are applied. This article instead starts from a continuous time diffusion model and derives a parametric analog at high frequency for it, allowing...

Highly non-elliptical posterior distributions may occur in several econometric models, in particular, when the likelihood information is allowed to dominate and data information is weak. We explain the issue of highly non-elliptical posteriors in a model for the effect of education on income...

During the last decades, the growth of trade between China and the Netherlands has been larger than the increase in bilateral trade flows between China and most other countries. Using a time series based gravity model, this paper investigates the main determinants of this increase. The empirical...

The focus of this article is using dynamic correlation models for the calculation of minimum variance hedge ratios between pairs of assets. Finding an optimal hedge requires not only knowledge of the variability of both assets, but also of the co-movement between the two assets. For this...

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...

This paper discusses the design, implementation and use of standards from the perspective of transaction costs economics. A proper design and implementation of standards may lead to a considerable reduction of transaction costs, which enhances trade and, consequently, economic welfare. A major...