Optimized adaptive prediction
Author
Abstract
Suggested Citation
DOI: 10.1007/BF03178900
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Pagan, Adrian, 1980.
"Some identification and estimation results for regression models with stochastically varying coefficients,"
Journal of Econometrics, Elsevier, vol. 13(3), pages 341-363, August.
- PAGAN, Adrian, 1980. "Some identification and estimation results for regression models with stochastically varying coefficients," LIDAM Reprints CORE 413, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Weiss, Andrew A., 1984. "Systematic sampling and temporal aggregation in time series models," Journal of Econometrics, Elsevier, vol. 26(3), pages 271-281, December.
- Tjøstheim, Dag, 1986. "Estimation in nonlinear time series models," Stochastic Processes and their Applications, Elsevier, vol. 21(2), pages 251-273, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Carlo Grillenzoni, 2000. "Time-Varying Parameters Prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(1), pages 108-122, March.
- SILVESTRINI, Andrea & VEREDAS, David, 2005.
"Temporal aggregation of univariate linear time series models,"
LIDAM Discussion Papers CORE
2005059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Andrea, SILVESTRINI, 2005. "Temporal aggregaton of univariate linear time series models," Discussion Papers (ECON - Département des Sciences Economiques) 2005044, Université catholique de Louvain, Département des Sciences Economiques.
- Aadland, David & Huang, Kevin X. D., 2004.
"Consistent high-frequency calibration,"
Journal of Economic Dynamics and Control, Elsevier, vol. 28(11), pages 2277-2295, October.
- David Aadland & Kevin Huang, 2002. "Consistent High-Frequency Calibration," Working Papers 2002-01, Utah State University, Department of Economics.
- Kevin X.D. Huang & David Aadland, 2003. "Consistent High-Frequency Calibration," Computing in Economics and Finance 2003 172, Society for Computational Economics.
- David Aadland & Kevin X.D. Huang, 2002. "Consistent High-Frequency Calibration," Macroeconomics 0211007, University Library of Munich, Germany, revised 08 Jan 2003.
- Alexandre Petkovic & David Veredas, 2009.
"Aggregation of linear models for panel data,"
Working Papers ECARES
2009-012, ULB -- Universite Libre de Bruxelles.
- Alexandre Petkovic & David Veredas, 2010. "Aggregation of linear models for panel data," ULB Institutional Repository 2013/136203, ULB -- Universite Libre de Bruxelles.
- Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
- Liebscher, Eckhard, 2003. "Strong convergence of estimators in nonlinear autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 84(2), pages 247-261, February.
- Kourentzes, Nikolaos & Petropoulos, Fotios & Trapero, Juan R., 2014. "Improving forecasting by estimating time series structural components across multiple frequencies," International Journal of Forecasting, Elsevier, vol. 30(2), pages 291-302.
- Christian, Müller, 2011. "The forward-bias puzzle: Still unsolved," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 605-610, October.
- Foroni, Claudia & Marcellino, Massimiliano & Schumacher, Christian, 2011.
"U-MIDAS: MIDAS regressions with unrestricted lag polynomials,"
Discussion Paper Series 1: Economic Studies
2011,35, Deutsche Bundesbank.
- Schumacher, Christian & Marcellino, Massimiliano & Foroni, Claudia, 2012. "U-MIDAS: MIDAS regressions with unrestricted lag polynomials," CEPR Discussion Papers 8828, C.E.P.R. Discussion Papers.
- G. Everaert, 2007. "Estimating Long-Run Relationships between Observed Integrated Variables by Unobserved Component Methods," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/452, Ghent University, Faculty of Economics and Business Administration.
- Bocart, Fabian & Hafner, Christian, 2012.
"Volatility of price indices for heterogeneous goods,"
LIDAM Discussion Papers ISBA
2012019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Bocart, Fabian Y. R. P. & Hafner, Christian M., 2012. "Volatility of price indices for heterogeneous goods," SFB 649 Discussion Papers 2012-039, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Nijman, Theo E & Palm, Franz C, 1990.
"Predictive Accuracy Gain from Disaggregate Sampling in ARIMA Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 8(4), pages 405-415, October.
- Nijman, T.E. & Palm, F.C., 1987. "Predictive accuracy gain from disaggregate sampling in ARIMA-models," Research Memorandum FEW 273, Tilburg University, School of Economics and Management.
- Nijman, T.E. & Palm, F.C., 1990. "Predictive accuracy gain from disaggregate sampling in ARIMA models," Other publications TiSEM 50a68aea-1b30-497d-b111-6, Tilburg University, School of Economics and Management.
- Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, University Library of Munich, Germany.
- Granger, C. W. J. & Siklos, Pierre L., 1995.
"Systematic sampling, temporal aggregation, seasonal adjustment, and cointegration theory and evidence,"
Journal of Econometrics, Elsevier, vol. 66(1-2), pages 357-369.
- Granger, C.W.J. & Siklos, P.L., 1993. "Systematic Sampling, Temporal Aggregation, Seasonal Adjustment, and Cointegration: Theory and Evidence," Working Papers 93001, Wilfrid Laurier University, Department of Economics.
- Tjøstheim, Dag & Hufthammer, Karl Ove, 2013. "Local Gaussian correlation: A new measure of dependence," Journal of Econometrics, Elsevier, vol. 172(1), pages 33-48.
- Thomas Url, 1997. "Die Kosten des Paktes für Stabilität und Wachstum," WIFO Monatsberichte (monthly reports), WIFO, vol. 70(6), pages 373-383, June.
- de Jong, F.C.J.M. & Kemna, A. & Kloek, T., 1992. "A contribution to event study methodology with an application to the Dutch stock market," Other publications TiSEM 7805a40a-1e85-4621-ac05-0, Tilburg University, School of Economics and Management.
- Kilian, Lutz & Taylor, Mark P., 2003.
"Why is it so difficult to beat the random walk forecast of exchange rates?,"
Journal of International Economics, Elsevier, vol. 60(1), pages 85-107, May.
- Kilian, Lutz & Taylor, Mark P., 2001. "Why is it so difficult to beat the random walk forecast of exchange rates?," Working Paper Series 88, European Central Bank.
- Lutz Kilian & Mark P. Taylor, 2001. "Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?," Working Papers 464, Research Seminar in International Economics, University of Michigan.
- Lutz Kilian & Mark P. Taylor, 2001. "Why is it so difficult to beat the Random Walk Forecast of Exchange Rates?," Tinbergen Institute Discussion Papers 01-031/4, Tinbergen Institute.
- Taylor, Mark & Kilian, Lutz, 2001. "Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?," CEPR Discussion Papers 3024, C.E.P.R. Discussion Papers.
- Aadland, David, 2005.
"Detrending time-aggregated data,"
Economics Letters, Elsevier, vol. 89(3), pages 287-293, December.
- David Aadland, 2002. "Detrending Time-Aggregated Data," Working Papers 2002-05, Utah State University, Department of Economics.
- David Aadland, 2002. "Detrending Time-Aggregated Data," Macroeconomics 0301007, University Library of Munich, Germany.
- David Aadland, 2002. "Detrending Time-Aggregated Data," Microeconomics 0211015, University Library of Munich, Germany.
- Tommaso Proietti & Alessandra Luati, 2013.
"Maximum likelihood estimation of time series models: the Kalman filter and beyond,"
Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362,
Edward Elgar Publishing.
- Luati, Alessandra & Proietti, Tommaso, 2012. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Working Papers 2012_02, University of Sydney Business School, Discipline of Business Analytics.
- Tommaso, Proietti & Alessandra, Luati, 2012. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," MPRA Paper 39600, University Library of Munich, Germany.
More about this item
Keywords
Time-varying parameter models; Recursive least squares; Extended Kalman filter; Conditional least squares; IBM stock price series;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:stmapp:v:6:y:1997:i:1:p:37-58. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.