This paper builds on Kočenda (2001) and extends it in two ways. First, two new intervals of the proximity parameter ε (over which the correlation integral is calculated) are specified. For these ε- ranges new critical values for various lengths of the data sets are introduced and through...

This paper extends and generalizes the BDS test presented by Brock, Dechert, Scheinkman, and LeBaron (1996). In doing so it aims to remove the limitation of having to arbitrarily select a proximity parameter by integrating across the correlation integral. The Monte Carlo simulation is used to...

In this paper we investigate the so called foresight bias that may appear in the Monte-Carlo pricing of Bermudan and compound options if the exercise criteria is calculated by the same Monte-Carlo simulation as the exercise values. The standard approach to remove the foresight bias is to use two...

In this paper we study the relationship between the number of replications and the accuracy of the estimated quantiles of a distribution obtained by simulation. A method for testing hypotheses on the quantiles of a theoretical distribution using the simulated distribution is proposed, as well as...

We use the well known USDA dataset of real exchange rates to address the question of whether PPP holds for agricultural commodities. Both unit root tests and the recently proposed more powerful class of panel unit root tests, which take into account cross-section correlation across the units in...

This paper reassesses the long-run relation between nominal interest rates and inflation using German data. It shows that the empirical rejection of the strict Fisher effect in previous studies, i.e., the finding of interest rates not fully adjusting to changes in inflation, can be attributed to...