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~isPartOf:"Oxford bulletin of economics and statistics"
~isPartOf:"Report / Erasmus Center for Financial Research, Erasmus University"
~isPartOf:"Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet"
~subject:"Schätzung"
~subject:"Seasonal component"
~subject:"Ökonometrisches Modell"
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Oxford bulletin of economics and statistics
Report / Erasmus Center for Financial Research, Erasmus University
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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1
GARCH effects on a test of cointegration
Franses, Philip Hans
;
Kofman, Paul
;
Moser, James T.
-
1993
Persistent link: https://www.econbiz.de/10000893748
Saved in:
2
Testing for seasonal unit roots in monthly panels of time series
Kunst, Robert M.
;
Franses, Philip Hans
- In:
Oxford bulletin of economics and statistics
73
(
2011
)
4
,
pp. 469-488
Persistent link: https://www.econbiz.de/10009241613
Saved in:
3
Constructing seasonally adjusted data with time-varying confidence intervals
Koopman, Siem Jan
;
Franses, Philip Hans
- In:
Oxford bulletin of economics and statistics
64
(
2002
)
5
,
pp. 509-526
Persistent link: https://www.econbiz.de/10001741990
Saved in:
4
Forecasting exchange rates using neural networks for technical trading rules
Franses, Philip Hans
;
Griensven, Kapser van
-
1997
Persistent link: https://www.econbiz.de/10000969008
Saved in:
5
Additive outliers, garch and forecasting volatility
Franses, Philip Hans
;
Ghijsels, Hendrik
-
1997
Persistent link: https://www.econbiz.de/10000969033
Saved in:
6
Forecasting exchange rates using neural networks for technical trading rules
Franses, Philip Hans
(
contributor
); …
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
2
(
1997
)
4
,
pp. 115-131
Persistent link: https://www.econbiz.de/10001769675
Saved in:
7
Seasonal adjustment and the business cycle in unemployment
Franses, Philip Hans
(
contributor
); …
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
4
(
2000
)
2
,
pp. 73-84
Persistent link: https://www.econbiz.de/10001773117
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