In this paper we present the neuro-fuzzy technology for the prediction of economic crisis of USA economy. Our findings support ANFIS models to traditional discrete choice models of Probit and Logit, indicating that the last models are not very useful for forecasting purposes. We have developed a...

In this paper we present, propose and examine additional membership functions as also we propose least squares with genetic algorithms optimization in order to find the optimum fuzzy membership functions parameters. More specifically, we present the tangent hyperbolic, Gaussian and Generalized...

In this paper we present, propose and examine additional membership functions. There is no reason why more functions cannot be proposed. More specifically, we present the tangent hyperbolic, Gaussian and Generalized bell functions. Because Smoothing Transition Autoregressive (STAR) models follow...

In this paper we present a very brief description of least mean square algorithm with applications in time-series analysis of economic and financial time series. We present some numerical applications; forecasts for the Gross Domestic Product growth rate of UK and Italy, forecasts for S&P 500...

This paper studies the economic recessions and the financial crisis in US economy, as these crisis periods affect not only USA but the rest of the world. The wrong government policies and the regulations in bond market among others lead to the longest and deepest financial crisis since the Great...

In this project we aren’t trying to make a criticism in the theory and the indications of Solow and Keynes. And so correctly as Keynes comments very equitably... 'Moreover, the characteristics of special case, which the classic theory was accepting , happened to be not those of economy in...

For hundred years the future was occupying the persons. The ancient Greeks, the Romans, the Egyptians, the Indians, the Chinese and other great ancient cultures, but also the modern, as the English, Germans and the Americans and with the help of the development of technology and computers they...

In econometric theory an important problem of estimation is the appearance of autocorrelation and of course the solution of it so that we will be able get off the problem of the autocorrelation from the old model ant to conduct to a new econometric model to forecast the prises in the future as...

Ground-level ozone is a critical criteria pollutant that is significantly generated by transportation patterns. We study the effect of smog–ozone warnings, triggered by the Environmental Protection Agency, on traffic volume in York County, South Carolina during the period 2006–10. In...

The current study examines the turn of the month effect on stock returns in 20 countries. This will allow us to explore whether the seasonal patterns usually found in global data; America, Australia, Europe and Asia. Ordinary Least Squares (OLS) is problematic as it leads to unreliable...