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GARCH based artificial neural networks in forecasting conditional variance of stock returns

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Publication:2965681
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DOI10.17535/crorr.2014.0017zbMath1359.62439OpenAlexW1967136314MaRDI QIDQ2965681

Josip Arnerić, Zdravka Aljinović, Tea Poklepović

Publication date: 3 March 2017

Published in: Croatian Operational Research Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17535/crorr.2014.0017

zbMATH Keywords

GARCHvolatility persistenceconditional varianceneural networks (NN)forecast error


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Economic time series analysis (91B84)


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Volatility forecasting of financial time series using wavelet based exponential generalized autoregressive conditional heteroscedasticity model, Improving forecasts of the EGARCH model using artificial neural network and fuzzy inference system, Jordan neural network for inflation forecasting



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