This study seeks to investigate and highlight the usefulness of the Artificial Neural Networks (ANN) methodology as an alternative to the Box-Jenkins methodology in analysing tourism demand. To this end, each of the above-mentioned methodologies is centred on the treatment, analysis and...

Performance in the manufacturing sector, in relation to productivity growth, scale efficiency and technical efficiency in India is dichotomous in nature, depending on whether the firm in question functions in the formal or informal sector. The main differences between these two sectors and the...

Econometrics has strongly evolved in recent years on both methodological level and in terms of applications. This article presents different econometric methods (time series econometrics, information panels, models of duration) and their applications to companies: demand analysis and forecasting...

Realized measures of volatility based on high frequency data contain valuable information about the unobserved conditional volatility. In this paper, we use the Realized GARCH model developed by Hansen, Huang and Shek (2012) to estimate and forecast price volatility for four agricultural...

The transition from the centralized economy to the market economy has determined important changes in higher education in the countries of the former socialist bloc. In a relatively short period an impressive growth in the number of students has been recorded without taking into account the...

The paper analyzes the regression problem for small and undersized sample. Two classical algorithms are compared: Simulated Annealing (SA) versus Repetitive Stochastic Guesstimation (RSG). An improved version of RSG is built and compared to the previous two algorithms. The author concludes that...

In this study we analyse the issue of mean reversion in forward discount based on nonlinear framework for seven currencies. Compared to previous study, we apply a novel approach of a threshold regression (TAR) and followed by nonlinear unit root tests. This approach disentangles tbodhe issue of...

This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...

We discuss the application of a new test for nonlinearity for economic time series. We apply the test for several monthly unemployment series from the developed economies. We find nonlinearities in the unemployment for most of the European economies, but not for US, UK or Japan.

There is a relationship between predictability and complexity. The problem of evaluating the complexity of the macroeconomic phenomenon can be reduced to decomposition into its principal components (which may have, in their turn, a certain degree of complexity) and to identify its common sources...