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Selecting a nonlinear time series model using weighted tests od equal forecasr accuracy
Dijk, Dick van; Franses, Philip Hans - In: Oxford bulletin of economics and statistics 65 (2003) suppl, pp. 727-744
Persistent link: https://www.econbiz.de/10001860094
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Forecasting aggregates using panels of nonlinear time series
Fok, Dennis (contributor); Dijk, Dick van (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002449418
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Semi-parametric modelling of correlation dynamics
Hafner, Christian M. (contributor);  … - 2005
Persistent link: https://www.econbiz.de/10003010850
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A multivariate STAR analysis of the relationship between money and output
Rothman, Philip; Dijk, Dick van; Franses, Philip Hans - 1999
Persistent link: https://www.econbiz.de/10001526112
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Special issue: Recent developments in business cycle analysis
Dijk, Dick van (contributor);  … - 2005
Persistent link: https://www.econbiz.de/10002728630
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On the dynamics of business cycle analysis : editors' introduction
Dijk, Dick van; Dijk, Herman K. van; Franses, Philip Hans - In: Journal of applied econometrics 20 (2005) 2, pp. 147-150
Persistent link: https://www.econbiz.de/10002728682
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The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production
Franses, Philip Hans; Dijk, Dick van - In: International journal of forecasting 21 (2005) 1, pp. 87-102
Persistent link: https://www.econbiz.de/10002547141
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Short patches of outliers, ARCH and volatility modelling
Franses, Philip Hans; Dijk, Dick van; Lucas, André - In: Applied financial economics 14 (2004) 4, pp. 221-231
Persistent link: https://www.econbiz.de/10001939247
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Testing for Arch in the Presence of Additive Outliers
Franses, Philip Hans; Lucas, André; Dijk, Dick van - 1998
In this paper we investigate the properties of the Lagrange Multiplier (LM) test for autoregressive conditional heteroskedasticity (ARCH) and generalized ARCH (GARCH) in the presence of additive outliers (AO's). We show analytically that both the asymptotic size and power are adversely affected...
Persistent link: https://www.econbiz.de/10014200208
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Do We Often Find Arch Because of Neglected Outliers?
Franses, Philip Hans; Dijk, Dick van - 1998
In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily and weekly data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a new LM test that is resistant to additive outliers. The data...
Persistent link: https://www.econbiz.de/10014157068