Un essai de prévision non paramétrique de l'action France Télécom
[A nonparametric prediction test of the France Telecom stock proces]
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- Ullah, Aman, 1988. "Nonparametric Estimation and Hypothesis Testing in Econometric Models," Empirical Economics, Springer, vol. 13(3/4), pages 223-249.
- Lijian Yang & Wolfgang Hardle & Jens Nielsen, 1999.
"Nonparametric Autoregression with Multiplicative Volatility and Additive mean,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 20(5), pages 579-604, September.
- Yang, L. & Härdle, Wolfgang, 1996. "Nonparametric Autoregression with Multiplicative Volatility and Additive Mean," SFB 373 Discussion Papers 1996,62, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Yang, Lijian & Härdle, Wolfgang & Nielsen, Jens P., 1998. "Nonparametric autoregression with multiplicative volatility and additive mean," SFB 373 Discussion Papers 1998,107, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- L. Yang & R. Tschernig, 1999. "Multivariate bandwidth selection for local linear regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(4), pages 793-815.
- Chiu, Shean-Tsong, 1989. "Bandwidth selection for kernel estimate with correlated noise," Statistics & Probability Letters, Elsevier, vol. 8(4), pages 347-354, September.
- Bruce Mizrach, 1995. "A Simple Nonparametric Test for Independence," Departmental Working Papers 199523, Rutgers University, Department of Economics.
- Härdle, Wolfgang & Chen, R., 1995. "Nonparametric Time Series Analysis, a selectiv review with examples," SFB 373 Discussion Papers 1995,14, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
- Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
- Yang, Lijian & Tschernig, Rolf, 2002.
"Non- And Semiparametric Identification Of Seasonal Nonlinear Autoregression Models,"
Econometric Theory, Cambridge University Press, vol. 18(6), pages 1408-1448, December.
- Yang, L. & Tschernig, R., 1998. "Non- and Semiparametric Identification of Seasonal Nonlinear Autoregression Models," SFB 373 Discussion Papers 1998,114, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Wolfgang Härdle & Helmut Lütkepohl & Rong Chen, 1997.
"A Review of Nonparametric Time Series Analysis,"
International Statistical Review, International Statistical Institute, vol. 65(1), pages 49-72, April.
- Härdle, Wolfgang & Lütkepohl, H. & Chen, R., 1996. "A Review of Nonparametric Time Series Analysis," SFB 373 Discussion Papers 1996,48, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Tschernig, R., 1996. "Nonlinearities in German Unemployment Rates: A Nonparametric Analysis," SFB 373 Discussion Papers 1996,45, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Masry, Elias & Tjøstheim, Dag, 1995. "Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality," Econometric Theory, Cambridge University Press, vol. 11(2), pages 258-289, February.
- Rolf Tschernig & Lijian Yang, 2000.
"Nonparametric Lag Selection for Time Series,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 21(4), pages 457-487, July.
- Tschernig, Rolf & Yang, Lijian, 1997. "Nonparametric lag selection for time series," SFB 373 Discussion Papers 1997,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- P. M. Robinson, 1983. "Nonparametric Estimators For Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(3), pages 185-207, May.
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More about this item
Keywords
Mots-clé: Sélection des retards; erreur de prédiction finale; noyau; fenêtre; processus autorégressif fonctionnel; prévision.;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
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