The study analyzes the family of regime switching GARCH neural network models, which allow the generalization of MS type RS-GARCH models to MS-GARCH-NN models by incorparating with neural network architectures with different dynamics and forecasting capabilities both in addition to the family of...

Recently, Donaldson and Kamstra (1997) proposed a class of NN-GARCH models which are extended to a class of NN-GARCH family by Bildirici and Ersin (2009). The study aims to analyze the nonlinear behavior and leptokurtic distribution in petrol prices by utilizing a newly developed family of...

The Turkish version of this paper can be found at: "http://ssrn.com/abstract=2222071" http://ssrn.com/abstract=2222071The study aims to investigate linear GARCH, fractionally integrated FI-GARCH and Asymmetric Power APGARCH models and their nonlinear counterparts based on Support Vector...

The English version of this paper can be found at: "http://ssrn.com/abstract=2227747" http://ssrn.com/abstract=2227747Çalışma, temel GARCH modelinin Destek Vektör Makinesi ve Yapay Sinir Ağları ile iyileştirilmiş modellerin incelenerek GARCH modelinin tahmin performansının...

The study proposes and a family of regime switching GARCH neural network models to model volatility. The proposed MS-ARMA-GARCH-NN models allow MS type regime switching in both the conditional mean and conditional variance for time series and further augmented with artificial neural networks to...

The effects of consanguineous marriages through genes have strong impacts not only on human capital, but also on political stability through the process that consanguineous marriages alter the sociological structure. Nevertheless, these types of marriages were abandoned by the developed nations...