The integration of fuzzy logic systems and neural networks in data driven nonlinear modeling applications has generally been limited to functions based upon the multiplicative fuzzy implication rule for theoretical and computational reasons. We derive a universal approximation result for the...

In response to the perceived instability of the relations between traditional monetary aggregates and nominal aggregate demand a number of nonstandard indicator variables have been developed to enable monetary policy to respond to, and counteract, incipient inflationary pressures before much...

Leading indicators are typical constructs used in macroeconomics to guide decision making in several areas of economic activity, including policy formation and long term investment. Researchers often evaluate and select leading indicators on a seemingly ad hoc basis involving OLS regression,...

This note examines how the DEM/USD rate and US short-term and long-term interest rates respond to the release of payroll announcements. In contrast to a recent paper by Edison (1997), who employs a linear econometric model, we test the influence of news by comparing the absolute values of the...

The integration of fuzzy logic systems and neural networks in data driven nonlinear modeling applications has generally been limited to functions based upon the multiplicative fuzzy implication rule for theoretical and computational reasons. We derive a universal approximation result for the...

This paper investigates the stability of the German money supply focusing on the period 1991 - 1998. It is shown that the standard ARIMA-Transfer model approach in the literature needs to be augmented by a cointegration term to adequately model the dynamics of money supply in Germany. Additional...