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A robust test for threshold-type nonlinearity in multivariate time series analysis
Chan, Wai-Sum; Cheung, Siu-hung; Chow, Wai Kit; Zhang, … - In: Journal of forecasting 34 (2015) 6, pp. 441-454
Persistent link: https://www.econbiz.de/10011342703
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A robust cusum test for SETAR-type nonlinearity in time series
Petruccelli, Joseph D.; Onofrei, Alina; Wilbur, Jayson D. - In: Journal of forecasting 28 (2009) 3, pp. 266-276
Persistent link: https://www.econbiz.de/10003823249
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Nonlinear forecasting using factor-augmented models
Giovannetti, Bruno - In: Journal of forecasting 32 (2013) 1, pp. 32-40
Persistent link: https://www.econbiz.de/10009758729
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Building neural network models for time series : a statistical approach
Medeiros, Marcelo C.; Teräsvirta, Timo; Rech, Gianluigi - In: Journal of forecasting 25 (2006) 1, pp. 49-75
Persistent link: https://www.econbiz.de/10003268447
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Unemployment variation over the business cycles : a comparison of forecasting models
Moshiri, Saeed; Brown, Laura - In: Journal of forecasting 23 (2004) 7, pp. 497-511
Persistent link: https://www.econbiz.de/10002431279
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A forecasting procedure for nonlinear autoregressive time series models
Cai, Yuzhi - In: Journal of forecasting 24 (2005) 5, pp. 335-352
Persistent link: https://www.econbiz.de/10003070039
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On SETAR non-linearity and forecasting
Clements, Michael P.; Franses, Philip Hans; Smith, Jeremy; … - In: Journal of forecasting 22 (2003) 5, pp. 359-375
Persistent link: https://www.econbiz.de/10001781684
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Asymmetries in conditional mean and variance : modelling stock returns by asMA-asQGARCH
Brännäs, Kurt; Gooijer, Jan G. de - In: Journal of forecasting 23 (2004) 3, pp. 155-171
Persistent link: https://www.econbiz.de/10002027340
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Robustness of alternative non-linearity tests for SETAR models
Chan, Wai-Sum; Ng, Man-wai - In: Journal of forecasting 23 (2004) 3, pp. 215-231
Persistent link: https://www.econbiz.de/10002027376
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On a robust test for SETAR-type nonlinearity in time series analysis
Hung, King Chi; Cheung, Siu-hung; Chan, Wai-Sum; Zhang, … - In: Journal of forecasting 28 (2009) 5, pp. 445-464
Persistent link: https://www.econbiz.de/10003878614