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What do we know about comparing aggregate and disaggregate forecasts?

Sbrana, Giacomo; Silvestrini, Andrea - 2009

Persistent link: https://www.econbiz.de/10003850961

Hybrid forecasting with estimated temporally aggregated linear processes

Grigoryeva, Lyudmila; Ortega, Juan-Pablo - In: Journal of forecasting 33 (2014) 8, pp. 577-595

Persistent link: https://www.econbiz.de/10011282858

[Rezension von: Lütkepohl, H., Forecasting aggregated vector ARMA processes]

Deistler, Manfred - In: Journal of economics 50 (1989) 2, pp. 198-199

Persistent link: https://www.econbiz.de/10001344074

The impact of temporal aggregation on supply chains with ARMA(1,1) demand processes

Rostami-Tabar, Bahman; Babai, M. Zied; Ali, Mohammad; … - In: European journal of operational research : EJOR 273 (2019) 3, pp. 920-932

Persistent link: https://www.econbiz.de/10011987658

Mixed frequency models with MA components

Foroni, Claudia; Marcellino, Massimiliano; Stevanović, … - 2018

Temporal aggregation in general introduces a moving average (MA) component in the aggregated model. A similar feature …

Persistent link: https://www.econbiz.de/10011937289

Mixed frequency models with MA components

Foroni, Claudia; Marcellino, Massimiliano; Stevanović, … - 2018

Temporal aggregation in general introduces a moving average (MA) component in the aggregated model. A similar feature …

Persistent link: https://www.econbiz.de/10011792277

Bayesian approach for Indonesia inflation forecasting

Amry, Zul - In: International journal of economics and financial issues … 8 (2018) 5, pp. 96-102

Persistent link: https://www.econbiz.de/10011979753

Recurrent support vector regression for a nonlinear ARMA model with applications to forecasting financial returns

Chen, Shiyi (contributor); Jeong, Kiho (contributor); … - 2008

Recurrent Support Vector Regression for a Nonlinear ARMA Model with Applications to Forecasting Financial Returns Abstract: Motivated by the recurrent Neural Networks, this paper proposes a recurrent Support Vector Regression (SVR) procedure to forecast nonlinear ARMA model based simulated data...

Persistent link: https://www.econbiz.de/10003770766

A comparison of univariate methods for forecasting electricity demand up to a day ahead

Taylor, James W.; De Menezes, Lilian M.; McSharry, … - In: International journal of forecasting 22 (2006) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10003283925

Forecasting with VARMA models

Lütkepohl, Helmut - 2006

Persistent link: https://www.econbiz.de/10003338428

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