Add to ORKGThis study proposes a nonlinear generalisation of factor models based on artificial neural networks for forecasting financial time series with many predictors
Nonlinear models have many applications in the economic and financial fields. The following works fo...
When forecasting time series, it is important to classify them according linearity behavior that the...
Egrioglu, Erol/0000-0003-4301-4149; Aladag, Cagdas Hakan/0000-0002-3953-7601WOS: 000316516000011Arti...
In this thesis, I study high-dimensional nonlinear time series analysis, and its applications in fin...
Neural networks demonstrate great potential for discovering non-linear relationships in time-series ...
In nonlinear time series forecasting, neural networks are interpreted as a nonlinear autoregressive ...
Neural networks demonstrate great potential for discovering non-linear relationships in time-series...
Abstract. – Prediction of financial time series using artificial neural networks has been the subjec...
Prediction of financial time series using artificial neural networks has been the subject of many pu...
This paper is concerned with approximating nonlinear time series by an artificial neural network bas...
The object of research. The object of research is modeling and forecasting nonlinear nonstationary p...
Prediction of financial time series using artificial neural networks has been the subject of many pu...
L’obiettivo principale di questa tesi è di introdurre un modello non lineare, “Feedforward Neural Ne...
We developed in this paper a method to predict time series with non-linear tools. The specificity o...
Prediction of financial time series using artificial neural networks has been the subject of many p...
Nonlinear models have many applications in the economic and financial fields. The following works fo...
When forecasting time series, it is important to classify them according linearity behavior that the...
Egrioglu, Erol/0000-0003-4301-4149; Aladag, Cagdas Hakan/0000-0002-3953-7601WOS: 000316516000011Arti...
In this thesis, I study high-dimensional nonlinear time series analysis, and its applications in fin...
Neural networks demonstrate great potential for discovering non-linear relationships in time-series ...
In nonlinear time series forecasting, neural networks are interpreted as a nonlinear autoregressive ...
Neural networks demonstrate great potential for discovering non-linear relationships in time-series...
Abstract. – Prediction of financial time series using artificial neural networks has been the subjec...
Prediction of financial time series using artificial neural networks has been the subject of many pu...
This paper is concerned with approximating nonlinear time series by an artificial neural network bas...
The object of research. The object of research is modeling and forecasting nonlinear nonstationary p...
Prediction of financial time series using artificial neural networks has been the subject of many pu...
L’obiettivo principale di questa tesi è di introdurre un modello non lineare, “Feedforward Neural Ne...
We developed in this paper a method to predict time series with non-linear tools. The specificity o...
Prediction of financial time series using artificial neural networks has been the subject of many p...
Nonlinear models have many applications in the economic and financial fields. The following works fo...
When forecasting time series, it is important to classify them according linearity behavior that the...
Egrioglu, Erol/0000-0003-4301-4149; Aladag, Cagdas Hakan/0000-0002-3953-7601WOS: 000316516000011Arti...