Hybrid models – the official site of the Central Bank of Nepal https://www.nrb.org.np the official Site of the Central Bank of Nepal Tue, 16 Jan 2024 06:49:38 +0000 en-US hourly 1 https://wordpress.org/?v=5.3.18 https://www.nrb.org.np/contents/uploads/2020/01/logo.jpg Hybrid models – the official site of the Central Bank of Nepal https://www.nrb.org.np 32 32 Hybrids ARIMA-ANN models for GDP forecasting in Nepal https://www.nrb.org.np/er-article/hybrids-arima-ann-models-for-gdp-forecasting-in-nepal/?utm_source=rss&utm_medium=rss&utm_campaign=hybrids-arima-ann-models-for-gdp-forecasting-in-nepal Tue, 16 Jan 2024 06:49:38 +0000 https://www.nrb.org.np/?post_type=er-article&p=97865 Forecasting Nepal’s Gross Domestic Product (GDP) holds paramount importance for effective resource planning and allocation. In this research, Artificial Neural Networks (ANNs) have been introduced to predict the GDP time series, wherein the data have been dissected into linear and nonlinear components. The linear aspects have been handled by the ARIMA model, while the ANNs […]

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]]> Forecasting Nepal’s Gross Domestic Product (GDP) holds paramount importance for effective resource planning and allocation. In this research, Artificial Neural Networks (ANNs) have been introduced to predict the GDP time series, wherein the data have been dissected into linear and nonlinear components. The linear aspects have been handled by the ARIMA model, while the ANNs managed the nonlinear elements. Additionally, the study has delved into hybrid models, resulting in additive and multiplicative combinations of ARIMA and ANN. These hybrid models have aimed to enhance forecasting performance, minimize errors, and improve accuracy compared to standalone models. The findings revealed that both ANN and hybrid models surpassed other approaches in terms of prediction accuracy.

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