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An Application of Nonlinear Time Series Forecasting

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  • Maravall, Agustin

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  • Maravall, Agustin, 1983. "An Application of Nonlinear Time Series Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(1), pages 66-74, January.
    • Handle: RePEc:bes:jnlbes:v:1:y:1983:i:1:p:66-74
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    Cited by:

    1. Nwokike Chukwudike C. & Ugoala & Chukwuma B. & Obubu Maxwell & Uche-Ikonne Okezie O. & Offorha Bright C. & Ukomah Henry I., 2020. "Forecasting Monthly Prices of Gold Using Artificial Neural Network," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(3), pages 1-2.
    2. Broto, Carmen & Ruiz, Esther, 2006. "Unobserved component models with asymmetric conditional variances," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2146-2166, May.
    3. Pena D. & Rodriguez J., 2002. "A Powerful Portmanteau Test of Lack of Fit for Time Series," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 601-610, June.
    4. Daniela Hristova, 2004. "Maximum Likelihood Estimation of a Unit Root Bilinear Model with an Application to Prices," Computing in Economics and Finance 2004 47, Society for Computational Economics.
    5. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.
    6. Anders Bredahl Kock & Timo Teräsvirta, 2010. "Forecasting with nonlinear time series models," CREATES Research Papers 2010-01, Department of Economics and Business Economics, Aarhus University.
    7. Pellegrini, Santiago & Ruiz, Esther & Espasa, Antoni, 2010. "Conditionally heteroscedastic unobserved component models and their reduced form," Economics Letters, Elsevier, vol. 107(2), pages 88-90, May.
    8. Zacharias Psaradakis & Marián Vávra, 2019. "Portmanteau tests for linearity of stationary time series," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 248-262, February.
    9. Rossen Anja, 2016. "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 389-409, May.
    10. Mike Kraehenbuehl & Joerg Osterrieder, 2022. "The Efficient Market Hypothesis for Bitcoin in the context of neural networks," Papers 2208.07254, arXiv.org.
    11. Franses, P. H., 1990. "Seasonality, Outliers And Linearity," Econometric Institute Archives 272395, Erasmus University Rotterdam.
    12. Sánchez, Ismael, 2009. "Graphical identification of TAR models," DES - Working Papers. Statistics and Econometrics. WS ws097723, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Wilfredo Palma & Mauricio Zevallos, 2004. "Analysis of the correlation structure of square time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(4), pages 529-550, July.
    14. Liu, Yamei, 2000. "Overfitting and forecasting: linear versus non-linear time series models," ISU General Staff Papers 2000010108000014914, Iowa State University, Department of Economics.
    15. Brunner, Allan D. & Hess, Gregory D., 1995. "Potential problems in estimating bilinear time-series models," Journal of Economic Dynamics and Control, Elsevier, vol. 19(4), pages 663-681, May.
    16. Pena, Daniel & Rodriguez, Julio, 2005. "Detecting nonlinearity in time series by model selection criteria," International Journal of Forecasting, Elsevier, vol. 21(4), pages 731-748.
    17. Anthony E. Usoro, 2018. "Modelling of Nigeria gross domestic product using seasonal and bilinear autoregressive integrated moving average models," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(2), pages 1-1.
    18. Brockett, Patrick L. & Witt, Robert C. & Golany, Boaz & Sipra, Naim & Xia, Xiaohua, 1996. "Statistical tests of stochastic process models used in the financial theory of insurance companies," Insurance: Mathematics and Economics, Elsevier, vol. 18(1), pages 73-79, May.
    19. Peña, Daniel, 2020. "Agustín Maravall: An interview with the International Journal of Forecasting," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1241-1251.

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