Testing for Common Autocorrelation in Data Rich Environments
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- Gianluca Cubadda & Alain Hecq, 2011. "Testing for common autocorrelation in data‐rich environments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(3), pages 325-335, April.
References listed on IDEAS
- Groen, Jan J.J. & Kapetanios, George, 2016.
"Revisiting useful approaches to data-rich macroeconomic forecasting,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 221-239.
- Jan J. J. Groen & George Kapetanios, 2008. "Revisiting useful approaches to data-rich macroeconomic forecasting," Staff Reports 327, Federal Reserve Bank of New York.
- Jan J.J. Groen & George Kapetanios, 2008. "Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting," Working Papers 624, Queen Mary University of London, School of Economics and Finance.
- Jan J.J. Groen & George Kapetanios, 2008. "Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting," Working Papers 624, Queen Mary University of London, School of Economics and Finance.
- Cubadda, Gianluca & Hecq, Alain & Palm, Franz C., 2009.
"Studying co-movements in large multivariate data prior to multivariate modelling,"
Journal of Econometrics, Elsevier, vol. 148(1), pages 25-35, January.
- Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
- Croushore, Dean & Stark, Tom, 2001.
"A real-time data set for macroeconomists,"
Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
- Dean Croushore & Tom Stark, 1999. "A real-time data set for macroeconomists," Working Papers 99-4, Federal Reserve Bank of Philadelphia.
- Margaret M. McConnell & Gabriel Perez-Quiros, 2000.
"Output fluctuations in the United States: what has changed since the early 1980s?,"
Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Gabriel Perez-Quiros & Margaret M. McConnell, 2000. "Output Fluctuations in the United States: What Has Changed since the Early 1980's?," American Economic Review, American Economic Association, vol. 90(5), pages 1464-1476, December.
- Margaret M. McConnell & Gabriel Perez-Quiros, 1997. "Output fluctuations in the United States: what has changed since the early 1980s?," Research Paper 9735, Federal Reserve Bank of New York.
- Margaret M. McConnell & Gabriel Perez-Quiros, 1998. "Output fluctuations in the United States: what has changed since the early 1980s?," Staff Reports 41, Federal Reserve Bank of New York.
Citations
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Cited by:
- Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
- Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
- Hecq Alain & Laurent Sébastien & Palm Franz C., 2016.
"On the Univariate Representation of BEKK Models with Common Factors,"
Journal of Time Series Econometrics, De Gruyter, vol. 8(2), pages 91-113, July.
- Hecq, A.W. & Palm, F.C. & Laurent, S.F.J.A., 2012. "On the univariate representation of BEKK models with common factors," Research Memorandum 018, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Alain Hecq & Franz C. Palm & Sébastien Laurent, 2016. "On the Univariate Representation of BEKK Models with Common Factors," Post-Print hal-01440307, HAL.
- Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2017.
"A vector heterogeneous autoregressive index model for realized volatility measures,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 337-344.
- Cubadda, G. & Guardabascio, B. & Hecq, A.W., 2015. "A Vector Heterogeneous Autoregressive Index model for realized volatility measures," Research Memorandum 033, Maastricht University, Graduate School of Business and Economics (GSBE).
- Gianluca Cubadda & Barbara Guardabascio & Alain Hecq, 2016. "A Vector Heterogeneous Autoregressive Index Model for Realized Volatily Measures," CEIS Research Paper 391, Tor Vergata University, CEIS, revised 23 Jul 2016.
- Gianluca Cubadda & Alain Hecq, 2022.
"Dimension Reduction for High‐Dimensional Vector Autoregressive Models,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1123-1152, October.
- Gianluca Cubadda & Alain Hecq, 2020. "Dimension Reduction for High Dimensional Vector Autoregressive Models," Papers 2009.03361, arXiv.org, revised Feb 2022.
- Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
- Gianluca Cubadda & Alain Hecq & Sean Telg, 2019.
"Detecting Co‐Movements in Non‐Causal Time Series,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 697-715, June.
- Cubadda, Gianluca & Hecq, Alain & Telg, Sean, 2017. "Detecting Co-Movements in Noncausal Time Series," MPRA Paper 77254, University Library of Munich, Germany, revised 02 Mar 2017.
- Gianluca Cubadda & Alain Hecq & Sean Telg, 2018. "Detecting Co-Movements in Noncausal Time Series," CEIS Research Paper 430, Tor Vergata University, CEIS, revised 23 Apr 2018.
- Hecq, A.W. & Laurent, S.F.J.A. & Palm, F.C., 2011. "On the univariate representation of multivariate volatility models with common factors," Research Memorandum 011, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Bernardini, Emmanuela & Cubadda, Gianluca, 2015.
"Macroeconomic forecasting and structural analysis through regularized reduced-rank regression,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 682-691.
- Emmanuela Bernardini & Gianluca Cubadda, 2013. "Macroeconomic forecasting and structural analysis through regularized reduced-rank regression," CEIS Research Paper 289, Tor Vergata University, CEIS, revised 03 Oct 2013.
- Gianluca Cubadda & Alain Hecq, 2020.
"Dimension Reduction for High Dimensional Vector Autoregressive Models,"
Papers
2009.03361, arXiv.org, revised Feb 2022.
- Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
- Cubadda, Gianluca & Guardabascio, Barbara, 2012.
"A medium-N approach to macroeconomic forecasting,"
Economic Modelling, Elsevier, vol. 29(4), pages 1099-1105.
- Gianluca Cubadda & Barbara Guardabascio, 2010. "A Medium-N Approach to Macroeconomic Forecasting," CEIS Research Paper 176, Tor Vergata University, CEIS, revised 09 Dec 2010.
- Cubadda, Gianluca & Guardabascio, Barbara, 2019.
"Representation, estimation and forecasting of the multivariate index-augmented autoregressive model,"
International Journal of Forecasting, Elsevier, vol. 35(1), pages 67-79.
- Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.
- Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2016.
"Testing for Granger causality in large mixed-frequency VARs,"
Journal of Econometrics, Elsevier, vol. 193(2), pages 418-432.
- Götz, T.B. & Hecq, A.W., 2014. "Testing for Granger causality in large mixed-frequency VARs," Research Memorandum 028, Maastricht University, Graduate School of Business and Economics (GSBE).
- Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
- Götz, T.B. & Hecq, A.W. & Smeekes, S., 2015. "Testing for Granger Causality in Large Mixed-Frequency VARs," Research Memorandum 036, Maastricht University, Graduate School of Business and Economics (GSBE).
- Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023.
"Optimization of the Generalized Covariance Estimator in Noncausal Processes,"
Papers
2306.14653, arXiv.org, revised Jan 2024.
- Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2024. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," CEIS Research Paper 574, Tor Vergata University, CEIS, revised 23 Apr 2024.
- Gianluca Cubadda & Marco Mazzali, 2024.
"The vector error correction index model: representation, estimation and identification,"
The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 126-150.
- Gianluca Cubadda & Marco Mazzali, 2023. "The Vector Error Correction Index Model: Representation, Estimation and Identification," CEIS Research Paper 556, Tor Vergata University, CEIS, revised 04 Apr 2023.
- Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013.
"A general to specific approach for constructing composite business cycle indicators,"
Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
- Gianluca Cubadda & Barbara Guardabascio & Alain Hecq, 2012. "A General to Specific Approach for Constructing Composite Business Cycle Indicators," CEIS Research Paper 224, Tor Vergata University, CEIS, revised 27 Feb 2012.
- Marco Centoni & Gianluca Cubadda, 2011.
"Modelling comovements of economic time series: a selective survey,"
Statistica, Department of Statistics, University of Bologna, vol. 71(2), pages 267-294.
- Marco Centoni & Gianluca Cubadda, 2011. "Modelling Comovements of Economic Time Series: A Selective Survey," CEIS Research Paper 215, Tor Vergata University, CEIS, revised 26 Oct 2011.
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More about this item
Keywords
Serial correlation common feature; high-dimensional systems; partial least squares. JEL code: C32;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2009-12-19 (Econometrics)
- NEP-ETS-2009-12-19 (Econometric Time Series)
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