Volatility modelling in the forex market: an empirical evaluation

We compare three frequently used volatility modelling techniques: GARCH, Markovian switching and cumulative daily volatility models. Our primary goal is to highlight a practical and systematic way to measure the relative effectiveness of these techniques. Evaluation comprises the analysis of the validity of the statistical requirements of the various models and their performance in simple options hedging strategies. The latter puts them to test in a "real life" application. Though there was not much difference between the three techniques, a tendency in favour of the cumulative daily volatility estimates, based on tick data, seems dear. As the improvement is not very big, the message for the practitioner - out of the restricted evidence of our experiment - is that he will probably not be losing much if working with the Markovian switching method. This highlights that, in terms of volatility estimation, no clear winner exists among the more sophisticated techniques.

On the use (fulness) of CGE modelling in trade negotiations and policy

This paper discusses a series of issues related to the use and different possible applications of CGE modelling in trade negotiations. The points addressed range from practical to methodological questions: when to use the models, what they provide the users and how far the model structure and assumptions should be explained to them, the complementary roles of partial and general equilibrium modelling, areas to be improved and data questions. The relevance of the modeller as the final decision maker in all these instances is also highlighted.