This paper investigates the effects of shocks to U.S. monetary policy on the dollar/yen exchange rate, using structural Vector Error Correction Model (VECM) methods. We compare our estimates of the impulse responses with those based on levels Vector Autoregression. We also compare results from short run and long run restrictions imposed on the structural VECM. We find evidence of overshooting b...

Two related issues are seldom jointly addressed in the cross market price discovery literature: i) a model that focuses on non-price parameter, ii) testing a non-price parameter model against a price parameter model. We have two objectives in this paper. First, develop a joint trade direction model (JTDM) from the single market model in Madhavan, Richardson and Roomans (1997). Second, estimate ...

Vector error -correction models (VECMs) have become increasingly popular in their applications to financial markets. Standard VECM models assume that the cointegrating vectors are of full rank such that they contain no zero elements. However, applications of VECM models to financial market data have revealed that zero entries are indeed possible. The existence of zero entries has not been fully...

This article offers a comparison of short-term forecasting ability of five demand systems with an application to U+S+ meat consumption+ Four static demand systems ~AIDS, Rotterdam, AIM, and DGM! and a dynamic Vector Error Correction Model ~VECM! are considered+ We tested the equality of mean square forecast errors+ We also investigated the possibility of forecast encompassing among competing mo...

Recently, we took part in a project with two local companies about the creation of a UML-based Model Driven rigorous method to develop VECM-based systems. VECM is a way to abstract from the details of different Enterprise Content Management (ECM) systems used within the same organization. This report details the experience made using our method to develop V-Protocol: a system able to protocol, ...