computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. nowadays, despite the numerous time series forecasting models propos...

Both theoretical and empirical findings have suggested that combining different models can be an effective way to improve the predictive performance of each individual model. It is especially occurred when the models in the ensemble are quite different. Hybrid techniques that decompose a time series into its linear and nonlinear components are one of the most important kinds of the hybrid model...

strategic entrepreneurship is the intersection of entrepreneurship research and strategic management. there is no consensus on the definition, dimensions and constituent elements and a few models have limitations. the aim of this paper is to review previous studies with an emphasis on empirical evidence, to summarize them in an innovative framework to make a greater understanding of strategic e...

This article is devoted to look at how the factors micro-loan risks in microfinance are related to the micro-borrowers. In this regard, the present analysis involves the using of a set representative and fundamental variables in our research. The study basically use the socio-economic and socio-demographic features specific to the micro-borrowers, which are expected to affect the repayment dela...