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Inference in Autoregression under Heteroskedasticity
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Cited by:
- Tu, Yundong & Yi, Yanping, 2017. "Forecasting cointegrated nonstationary time series with time-varying variance," Journal of Econometrics, Elsevier, vol. 196(1), pages 83-98.
- Ke Zhu, 2018. "Statistical inference for autoregressive models under heteroscedasticity of unknown form," Papers 1804.02348, arXiv.org, revised Aug 2018.
- Hanck, Christoph & Demetrescu, Matei & Kruse, Robinson, 2015. "Fixed-b Asymptotics for t-Statistics in the Presence of Time-Varying Volatility," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112916, Verein für Socialpolitik / German Economic Association.
- Mohitosh Kejriwal & Xuewen Yu & Pierre Perron, 2020.
"Bootstrap procedures for detecting multiple persistence shifts in heteroskedastic time series,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 676-690, September.
- Mohitosh Kejriwal & Xuewen Yu, 2018. "Bootstrap Procedures for Detecting Multiple Persistance4 Shifts in a heteroskedastic Time Series," Purdue University Economics Working Papers 1308, Purdue University, Department of Economics.
- Mohitosh Kejriwal & Xuewen Yu & Pierre Perron, 2020. "Bootstrap Procedures for Detecting Multiple Persistence Shifts in Heteroskedastic Time Series," Boston University - Department of Economics - Working Papers Series WP2020-009, Boston University - Department of Economics.
- Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2015.
"Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets,"
Journal of Econometrics, Elsevier, vol. 187(2), pages 557-579.
- Giuseppe Cavaliere & Morten Ø. Nielsen & A.M. Robert Taylor, 2013. "Bootstrap Score Tests For Fractional Integration In Heteroskedastic Arfima Models, With An Application To Price Dynamics In Commodity Spot And Futures Markets," Working Paper 1309, Economics Department, Queen's University.
- Giuseppe Cavaliere & Morten Ørregaard Nielsen & A.M. Robert Taylor, 2014. "Bootstrap Score Tests for Fractional Integration in Heteroskedastic ARFIMA Models, with an Application to Price Dynamics in Commodity Spot and Futures Markets," CREATES Research Papers 2014-22, Department of Economics and Business Economics, Aarhus University.
- Matei Demetrescu & Christoph Hanck, 2013. "Nonlinear IV panel unit root testing under structural breaks in the error variance," Statistical Papers, Springer, vol. 54(4), pages 1043-1066, November.
- Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2017.
"Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form,"
Journal of Econometrics, Elsevier, vol. 198(1), pages 165-188.
- Giuseppe Cavaliere & Morten Ø. Nielsen & A.M. Robert Taylor, 2016. "Quasi-maximum Likelihood Estimation And Bootstrap Inference In Fractional Time Series Models With Heteroskedasticity Of Unknown Form," Working Paper 1324, Economics Department, Queen's University.
- Giuseppe Cavaliere & Morten Ørregaard Nielsen & Robert Taylor, 2017. "Quasi-Maximum Likelihood Estimation and Bootstrap Inference in Fractional Time Series Models with Heteroskedasticity of Unknown Form," CREATES Research Papers 2017-02, Department of Economics and Business Economics, Aarhus University.
- Xu, Ke-Li, 2012. "Robustifying multivariate trend tests to nonstationary volatility," Journal of Econometrics, Elsevier, vol. 169(2), pages 147-154.
- Demetrescu, Matei & Rodrigues, Paulo M.M., 2022.
"Residual-augmented IVX predictive regression,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
- Paulo M.M. Rodrigues & Matei Demetrescu, 2016. "Residual-augmented IVX predictive regression," Working Papers w201605, Banco de Portugal, Economics and Research Department.
- Demetrescu, Matei & Kruse, Robinson, 2015. "Testing heteroskedastic time series for normality," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113221, Verein für Socialpolitik / German Economic Association.
- Valentin Patilea & Hamdi Raïssi, 2014. "Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1099-1111, September.
- Nikolaos Kourogenis, 2015. "Polynomial Trends, Nonstationary Volatility and the Eicker-White Asymptotic Variance Estimator," Economics Bulletin, AccessEcon, vol. 35(3), pages 1675-1680.
- Shuping Shi & Peter C. B. Phillips & Stan Hurn, 2018.
"Change Detection and the Causal Impact of the Yield Curve,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 966-987, November.
- Stan Hurn & Peter C B Phillips & Shuping Shi, 2015. "Change Detection and the Casual Impact of the Yield Curve," NCER Working Paper Series 107, National Centre for Econometric Research.
- Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.
- David Harris & Hsein Kew, 2014. "Portmanteau Autocorrelation Tests Under Q-Dependence And Heteroskedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 203-217, May.
- Xu, Ke-Li & Phillips, Peter C.B., 2008.
"Adaptive estimation of autoregressive models with time-varying variances,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
- Ke-Li Xu & Peter C.B. Phillips, 2006. "Adaptive Estimation of Autoregressive Models with Time-Varying Variances," Cowles Foundation Discussion Papers 1585, Cowles Foundation for Research in Economics, Yale University.
- Ke-Li Xu & Peter C.B. Phillips, 2006. "Adaptive Estimation of Autoregressive Models with Time-Varying Variances," Cowles Foundation Discussion Papers 1585R, Cowles Foundation for Research in Economics, Yale University, revised Nov 2006.
- Brandan K. Beare, 2008. "Unit Root Testing with Unstable Volatility," Economics Series Working Papers 2008-WO6, University of Oxford, Department of Economics.
- Matei Demetrescu & Christoph Hanck, 2016. "Robust Inference for Near-Unit Root Processes with Time-Varying Error Variances," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 751-781, May.
- Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2010.
"Testing for co-integration in vector autoregressions with non-stationary volatility,"
Journal of Econometrics, Elsevier, vol. 158(1), pages 7-24, September.
- Giuseppe Cavaliere & Anders Rahbek & A. M. Robert Taylor, 2007. "Testing for co-integration in vector autoregressions with non-stationary volatility," Discussion Papers 07/02, University of Nottingham, Granger Centre for Time Series Econometrics.
- Giuseppe Cavaliere & Anders Rahbek & A. M. Robert Taylor, 2008. "Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility," Discussion Papers 08-34, University of Copenhagen. Department of Economics.
- Giuseppe Cavaliere & Anders Rahbek & A.M.Robert Taylor, 2008. "Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility," CREATES Research Papers 2008-50, Department of Economics and Business Economics, Aarhus University.
- Chandler, Gabriel, 2010. "Order selection for heteroscedastic autoregression: A study on concentration," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1904-1910, December.
- Cheng, Xu & Phillips, Peter C.B., 2012.
"Cointegrating rank selection in models with time-varying variance,"
Journal of Econometrics, Elsevier, vol. 169(2), pages 155-165.
- Xu Cheng & Peter C. B. Phillips, 2009. "Cointegrating Rank Selection in Models with Time-Varying Variance," Cowles Foundation Discussion Papers 1688, Cowles Foundation for Research in Economics, Yale University.
- H. Peter Boswijk & Yang Zu, 2022.
"Adaptive Testing for Cointegration With Nonstationary Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 744-755, April.
- Peter Boswijk & Yang Zu, 2019. "Adaptive Testing for Cointegration with Nonstationary Volatility," Tinbergen Institute Discussion Papers 19-043/III, Tinbergen Institute.
- Hirukawa, Junichi & Raïssi, Hamdi, 2020. "Testing linear relationships between non-constant variances of economic variables," Economic Modelling, Elsevier, vol. 90(C), pages 182-189.
- Zhang, Erhua & Wu, Jilin, 2020. "Adaptive estimation of AR∞ models with time-varying variances," Economics Letters, Elsevier, vol. 197(C).
- Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024.
"Robust testing for explosive behavior with strongly dependent errors,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Yiu Lim Lui & Jun Yu & Peter C. B. Phillips, 2022. "Robust Testing for Explosive Behavior with Strongly Dependent Errors," Cowles Foundation Discussion Papers 2350, Cowles Foundation for Research in Economics, Yale University.
- Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2022. "Robust Testing for Explosive Behavior with Strongly Dependent Errors," Economics and Statistics Working Papers 11-2022, Singapore Management University, School of Economics.
- Harris, David & Kew, Hsein & Taylor, A.M. Robert, 2020.
"Level shift estimation in the presence of non-stationary volatility with an application to the unit root testing problem,"
Journal of Econometrics, Elsevier, vol. 219(2), pages 354-388.
- David Harris & Hsein Kew & A. M. Robert Taylor, 2020. "Level Shift Estimation in the Presence of Non-stationary Volatility with an Application to the Unit Root Testing Problem," Monash Econometrics and Business Statistics Working Papers 8/20, Monash University, Department of Econometrics and Business Statistics.
- Ke-Li Xu & Jui-Chung Yang, 2015. "Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non-stationary Volatility," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 63-86, March.
- Jarrow, Robert & Teo, Melvyn & Tse, Yiu Kuen & Warachka, Mitch, 2012. "An improved test for statistical arbitrage," Journal of Financial Markets, Elsevier, vol. 15(1), pages 47-80.
- Sam Astill & David I Harvey & Stephen J Leybourne & A M Robert Taylor & Yang Zu, 2023. "CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 187-227.
- Brendan K. Beare, 2018.
"Unit Root Testing with Unstable Volatility,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 816-835, November.
- Brendan K. Beare, 2008. "Unit Root Testing with Unstable Volatility," Economics Papers 2008-W06, Economics Group, Nuffield College, University of Oxford.
- Matei Demetrescu & Christoph Hanck & Robinson Kruse, 2016. "Fixed-b Inference in the Presence of Time-Varying Volatility," CREATES Research Papers 2016-01, Department of Economics and Business Economics, Aarhus University.
- Hamdi Raissi, 2022. "On the dependence structure of the trade/no trade sequence of illiquid assets," Papers 2203.08223, arXiv.org.
- Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
- Kourogenis, Nikolaos & Pittis, Nikitas & Samartzis, Panagiotis, 2024. "Unbounded heteroscedasticity in autoregressive models," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
- Bibi Cai & Enwen Zhu & Shiqing Ling, 2024. "Asymptotic inference of the ARMA model with time‐functional variance noises," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(3), pages 1230-1258, September.
- Sven Otto, 2021. "Unit root testing with slowly varying trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 85-106, January.