Automatic Specification Testing for Vector Autoregressions and Multivariate Nonlinear Time Series Models
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DOI: 10.1080/07350015.2013.803973
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Cited by:
- Li, Muyi & Zhang, Yanfen, 2022. "Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
- Roberto Baragona & Francesco Battaglia & Domenico Cucina, 2024. "ARMA model checking with data-driven portmanteau tests," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 33(3), pages 925-942, July.
- Bin Chen & Jinho Choi & Juan Carlos Escanciano, 2017.
"Testing for fundamental vector moving average representations,"
Quantitative Economics, Econometric Society, vol. 8(1), pages 149-180, March.
- Bin Chen & Jinho Choi & Juan Carlos Escanciano, 2015. "Testing for Fundamental Vector Moving Average Representations," CAEPR Working Papers 2015-022, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Pedro H. C. Sant’Anna, 2017.
"Testing for Uncorrelated Residuals in Dynamic Count Models With an Application to Corporate Bankruptcy,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 349-358, July.
- Sant'Anna, Pedro H. C., 2013. "Testing for Uncorrelated Residuals in Dynamic Count Models with an Application to Corporate Bankruptcy," MPRA Paper 48376, University Library of Munich, Germany.
- Cheng Yu & Dong Li & Feiyu Jiang & Ke Zhu, 2023. "Matrix GARCH Model: Inference and Application," Papers 2306.05169, arXiv.org.
- Grivas, Charisios, 2021. "An Automatic Portmanteau Test For Nonlinear Dependence," MPRA Paper 114312, University Library of Munich, Germany, revised 22 Aug 2022.
- Zhu, Ke & Li, Wai Keung, 2015.
"A bootstrapped spectral test for adequacy in weak ARMA models,"
Journal of Econometrics, Elsevier, vol. 187(1), pages 113-130.
- Zhu, Ke & Li, Wai-Keung, 2013. "A bootstrapped spectral test for adequacy in weak ARMA models," MPRA Paper 51224, University Library of Munich, Germany.
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