Jean-Michel Zakoian
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Blog mentions
As found by EconAcademics.org, the blog aggregator for Economics research:- Christian Gouriéroux & Jean-Michel Zakoian, 2012.
"Estimation Adjusted VaR,"
Working Papers
2012-16, Center for Research in Economics and Statistics.
- Gourieroux, Christian & Zakoïan, Jean-Michel, 2013. "Estimation-Adjusted Var," Econometric Theory, Cambridge University Press, vol. 29(4), pages 735-770, August.
Mentioned in:
- What I Learned Last Week
by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-13 09:19:00
Wikipedia or ReplicationWiki mentions
(Only mentions on Wikipedia that link back to a page on a RePEc service)- Rabemananjara, R & Zakoian, J M, 1993.
"Threshold Arch Models and Asymmetries in Volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc.
Mentioned in:
Working papers
- Christian Francq & Jean-Michel Zakoïan, 2022.
"Local Asymptotic Normality of General Conditionally Heteroskedastic and Score-Driven Time-Series Models,"
Working Papers
2022-06, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoian, Jean-Michel, 2023. "Local Asymptotic Normality Of General Conditionally Heteroskedastic And Score-Driven Time-Series Models," Econometric Theory, Cambridge University Press, vol. 39(5), pages 1067-1092, October.
- Francq, Christian & Zakoian, Jean-Michel, 2021. "Local asymptotic normality of general conditionally heteroskedastic and score-driven time-series models," MPRA Paper 106542, University Library of Munich, Germany.
Cited by:
- Francq, Christian & Zakoian, Jean-Michel, 2024. "Finite moments testing in a general class of nonlinear time series models," MPRA Paper 121193, University Library of Munich, Germany.
- Francq, Christian & Zakoian, Jean-Michel, 2021.
"Testing the existence of moments and estimating the tail index of augmented garch processes,"
MPRA Paper
110511, University Library of Munich, Germany.
Cited by:
- Christian Francq & Baye Matar Kandji & Jean-Michel Zakoian, 2022. "Inference on Multiplicative Component GARCH without any Small-Order Moment," Working Papers 2022-09, Center for Research in Economics and Statistics.
- David I. Harvey & Stephen J. Leybourne & Yang Zu, 2023. "Estimation of the variance function in structural break autoregressive models with non‐stationary and explosive segments," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(2), pages 181-205, March.
- Francq, Christian & Zakoian, Jean-Michel, 2019.
"Testing the existence of moments for GARCH processes,"
MPRA Paper
98892, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2022. "Testing the existence of moments for GARCH processes," Journal of Econometrics, Elsevier, vol. 227(1), pages 47-64.
Cited by:
- Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2024.
"A residual bootstrap for conditional Value-at-Risk,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2018. "A Residual Bootstrap for Conditional Value-at-Risk," Papers 1808.09125, arXiv.org, revised Aug 2023.
- Francq, Christian & Zakoian, Jean-Michel, 2024. "Finite moments testing in a general class of nonlinear time series models," MPRA Paper 121193, University Library of Munich, Germany.
- Cavaliere, Giuseppe & Mikosch, Thomas & Rahbek, Anders & Vilandt, Frederik, 2024. "Tail behavior of ACD models and consequences for likelihood-based estimation," Journal of Econometrics, Elsevier, vol. 238(2).
- Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.
- Christian Francq & Jean-Michel Zakoian, 2019.
"Virtual Historical Simulation for estimating the conditional VaR of large portfolios,"
Papers
1909.04661, arXiv.org.
- Francq, Christian & Zakoïan, Jean-Michel, 2020. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," Journal of Econometrics, Elsevier, vol. 217(2), pages 356-380.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
Cited by:
- Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
- Marta Małecka & Radosław Pietrzyk, 2024. "A spectral approach to evaluating VaR forecasts: stock market evidence from the subprime mortgage crisis, through COVID-19, to the Russo–Ukrainian war," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4533-4567, October.
- Matteo Barigozzi & Marc Hallin, 2018.
"Generalized Dynamic Factor Models and Volatilities: Consistency, rates, and prediction intervals,"
Papers
1811.10045, arXiv.org, revised Jul 2019.
- Matteo Barigozzi & Marc Hallin, 2018. "Generalized Dynamic Factor Models and Volatilities: Consistency, Rates, and Prediction Intervals," Working Papers ECARES 2018-33, ULB -- Universite Libre de Bruxelles.
- Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
- Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
- Fiszeder, Piotr & Małecka, Marta & Molnár, Peter, 2024. "Robust estimation of the range-based GARCH model: Forecasting volatility, value at risk and expected shortfall of cryptocurrencies," Economic Modelling, Elsevier, vol. 141(C).
- Cerovecki, Clément & Francq, Christian & Hormann, Siegfried & Zakoian, Jean-Michel, 2018.
"Functional GARCH models: the quasi-likelihood approach and its applications,"
MPRA Paper
83990, University Library of Munich, Germany.
- Cerovecki, Clément & Francq, Christian & Hörmann, Siegfried & Zakoïan, Jean-Michel, 2019. "Functional GARCH models: The quasi-likelihood approach and its applications," Journal of Econometrics, Elsevier, vol. 209(2), pages 353-375.
Cited by:
- Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2020. "Forecasting value at risk with intra-day return curves," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1023-1038.
- Horváth, Lajos & Rice, Gregory & Zhao, Yuqian, 2022. "Change point analysis of covariance functions: A weighted cumulative sum approach," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Baye Matar Kandji, 2023. "On the growth rate of superadditive processes and the stability of functional GARCH models," Working Papers 2023-07, Center for Research in Economics and Statistics.
- Gong, Xu & Wang, You & Lin, Boqiang, 2021. "Assessing dynamic China’s energy security: Based on functional data analysis," Energy, Elsevier, vol. 217(C).
- Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2023. "Discovering the drivers of stock market volatility in a data-rich world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
- Dohyun Chun & Donggyu Kim, 2021.
"State Heterogeneity Analysis of Financial Volatility Using High-Frequency Financial Data,"
Papers
2102.13404, arXiv.org.
- Dohyun Chun & Donggyu Kim, 2022. "State Heterogeneity Analysis of Financial Volatility using high‐frequency Financial Data," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 105-124, January.
- Mihyun Kim & Piotr Kokoszka & Gregory Rice, 2024. "Projection-based white noise and goodness-of-fit tests for functional time series," Statistical Inference for Stochastic Processes, Springer, vol. 27(3), pages 693-724, October.
- Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2023. "Exploring volatility of crude oil intraday return curves: A functional GARCH-X model," Journal of Commodity Markets, Elsevier, vol. 32(C).
- Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2021. "Exploring volatility of crude oil intra-day return curves: a functional GARCH-X Model," MPRA Paper 109231, University Library of Munich, Germany.
- Zdeněk Hlávka & Marie Hušková & Simos G. Meintanis, 2021. "Testing serial independence with functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 603-629, September.
- Christian Gouriéroux & Alain Monfort & Jean-Michel Zakoian, 2018.
"Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations,"
Working Papers
2018-08, Center for Research in Economics and Statistics.
- C. Gouriéroux & A. Monfort & J.‐M. Zakoïan, 2019. "Consistent Pseudo‐Maximum Likelihood Estimators and Groups of Transformations," Econometrica, Econometric Society, vol. 87(1), pages 327-345, January.
- Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," MPRA Paper 87834, University Library of Munich, Germany.
Cited by:
- Gourieroux, Christian & Lu, Yang, 2019.
"Least impulse response estimator for stress test exercises,"
Journal of Banking & Finance, Elsevier, vol. 103(C), pages 62-77.
- Christian Gourieroux & Yang Lu, 2019. "Least Impulse Response Estimator for Stress Test Exercises," Working Papers hal-02089698, HAL.
- Christian Gourieroux & Yang Lu, 2019. "Least Impulse Response Estimator for Stress Test Exercises," CEPN Working Papers 2019-05, Centre d'Economie de l'Université de Paris Nord.
- Christian Gouriéroux & Yang Lu, 2019. "Least Impulse Response Estimator for Stress Test Exercises [Least impulse response estimator for stress test exercises]," Post-Print hal-02419030, HAL.
- Blasques, Francisco & van Brummelen, Janneke & Koopman, Siem Jan & Lucas, André, 2022.
"Maximum likelihood estimation for score-driven models,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 325-346.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2014. "Maximum Likelihood Estimation for Score-Driven Models," Tinbergen Institute Discussion Papers 14-029/III, Tinbergen Institute, revised 23 Oct 2017.
- Fries, Sébastien & Zakoian, Jean-Michel, 2017.
"Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles,"
MPRA Paper
81345, University Library of Munich, Germany.
- Fries, Sébastien & Zakoian, Jean-Michel, 2019. "Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles," Econometric Theory, Cambridge University Press, vol. 35(6), pages 1234-1270, December.
Cited by:
- Telg, Sean, 2024. "Time aggregation of mixed causal–noncausal models," Economics Letters, Elsevier, vol. 244(C).
- Francisco Blasques & Siem Jan Koopman & Gabriele Mingoli, 2023. "Observation-Driven filters for Time- Series with Stochastic Trends and Mixed Causal Non-Causal Dynamics," Tinbergen Institute Discussion Papers 23-065/III, Tinbergen Institute, revised 01 Mar 2024.
- Giancaterini, Francesco & Hecq, Alain, 2025.
"Inference in mixed causal and noncausal models with generalized Student’s t-distributions,"
Econometrics and Statistics, Elsevier, vol. 33(C), pages 1-12.
- Francesco Giancaterini & Alain Hecq, 2020. "Inference in mixed causal and noncausal models with generalized Student's t-distributions," Papers 2012.01888, arXiv.org, revised Nov 2022.
- 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.
- 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.
- Hecq, Alain & Voisin, Elisa, 2021.
"Forecasting bubbles with mixed causal-noncausal autoregressive models,"
Econometrics and Statistics, Elsevier, vol. 20(C), pages 29-45.
- Voisin, Elisa & Hecq, Alain, 2019. "Forecasting bubbles with mixed causal-noncausal autoregressive models," MPRA Paper 92734, University Library of Munich, Germany.
- Frédérique Bec & Alain Guay, 2020.
"A simple unit root test consistent against any stationary alternative,"
Working Papers
halshs-03010256, HAL.
- Frédérique Bec & Alain Guay, 2020. "A simple unit root test consistent against any stationary alternative," THEMA Working Papers 2020-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédéric BEC & Alain GUAY, 2020. "A simple unit root test consistent against any stationary alternative," Working Papers 2020-28, Center for Research in Economics and Statistics.
- Blasques, Francisco & Koopman, Siem Jan & Nientker, Marc, 2022.
"A time-varying parameter model for local explosions,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 65-84.
- Francisco (F.) Blasques & Siem Jan (S.J.) Koopman & Marc Nientker, 2018. "A Time-Varying Parameter Model for Local Explosions," Tinbergen Institute Discussion Papers 18-088/III, Tinbergen Institute.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020.
"Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing [Modèles auto-régressifs non-causaux mixtes: Problèmes de bimodalité pour l'estimation et le test de r," Working Papers hal-02175760, HAL.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," THEMA Working Papers 2019-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédérique BEC & Heino BOHN NIELSEN & Sarra SAÏDI, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Working Papers 2019-09, Center for Research in Economics and Statistics.
- Antonio Aguirre & Ignacio N. Lobato, 2024. "Evidence of non-fundamentalness in OECD capital stocks," Empirical Economics, Springer, vol. 67(2), pages 761-772, August.
- Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
- Alain Hecq & Elisa Voisin, 2023.
"Predicting Crashes in Oil Prices During The Covid-19 Pandemic with Mixed Causal-Noncausal Models,"
Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 209-233,
Emerald Group Publishing Limited.
- Alain Hecq & Elisa Voisin, 2019. "Predicting crashes in oil prices during the COVID-19 pandemic with mixed causal-noncausal models," Papers 1911.10916, arXiv.org, revised May 2022.
- Blasques, Francisco & Nientker, Marc, 2023. "Stochastic properties of nonlinear locally-nonstationary filters," Journal of Econometrics, Elsevier, vol. 235(2), pages 2082-2095.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022.
"Is climate change time reversible?,"
Working Paper series
22-08, Rimini Centre for Economic Analysis, revised Dec 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time-reversible?," Working Papers 498, University of Milano-Bicocca, Department of Economics, revised Nov 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Papers 2205.07579, arXiv.org, revised Nov 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is Climate Change Time-Reversible?," Econometrics, MDPI, vol. 10(4), pages 1-18, December.
- F. Blasques & S.J. Koopman & G. Mingoli & S. Telg, 2024. "A Novel Test for the Presence of Local Explosive Dynamics," Tinbergen Institute Discussion Papers 24-036/III, Tinbergen Institute.
- Gabriele Mingoli, 2024. "Modeling Common Bubbles: A Mixed Causal Non-Causal Dynamic Factor Model," Tinbergen Institute Discussion Papers 24-072/III, Tinbergen Institute.
- Alain Hecq & Daniel Velasquez-Gaviria, 2022. "Spectral estimation for mixed causal-noncausal autoregressive models," Papers 2211.13830, arXiv.org.
- 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.
- Weifeng Jin, 2023. "Quantile Autoregression-based Non-causality Testing," Papers 2301.02937, arXiv.org.
- Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
- Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
- Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.
- Alain Hecq & Joao Issler & Elisa Voisin, 2022.
"A short term credibility index for central banks under inflation targeting: an application to Brazil,"
Papers
2205.00924, arXiv.org, revised Jul 2022.
- Hecq, Alain & Issler, João Victor & Voisin, Elisa, 2024. "A short term credibility index for central banks under inflation targeting: An application to Brazil," Journal of International Money and Finance, Elsevier, vol. 143(C).
- Jean-Baptiste MICHAU, 2019. "Helicopter Drops of Money under Secular Stagnation," Working Papers 2019-10, Center for Research in Economics and Statistics.
- Marina Friedrich & Sébastien Fries & Michael Pahle & Ottmar Edenhofer, 2020. "Rules vs. Discretion in Cap-and-Trade Programs: Evidence from the EU Emission Trading System," CESifo Working Paper Series 8637, CESifo.
- Hecq Alain & Sun Li, 2021. "Selecting between causal and noncausal models with quantile autoregressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 393-416, December.
- Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
- Alain Hecq & Sean Telg & Lenard Lieb, 2017.
"Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?,"
Econometrics, MDPI, vol. 5(4), pages 1-22, October.
- Hecq, Alain & Telg, Sean & Lieb, Lenard, 2016. "Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?," MPRA Paper 74922, University Library of Munich, Germany, revised 04 Nov 2016.
- Frederique Bec & Alain Guay, 2020. "A Simple Unit Root Test Consistent Against Any Stationary Alternative," Working Papers 20-20, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Xuanling Yang & Dong Li & Ting Zhang, 2024. "Bubble Modeling and Tagging: A Stochastic Nonlinear Autoregression Approach," Papers 2401.07038, arXiv.org, revised Jan 2025.
- Kramkov, Viacheslav & Maksimov, Andrey, 2020. "Loan market markups and noncausal autoregressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 48-69.
- Gouriéroux, Christian & Zakoian, Jean-Michel, 2016.
"Local Explosion Modelling by Noncausal Process,"
MPRA Paper
71105, University Library of Munich, Germany.
- Christian Gouriéroux & Jean-Michel Zakoïan, 2017. "Local explosion modelling by non-causal process," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 737-756, June.
Cited by:
- Frédérique Bec & Alain Guay, 2020.
"A simple unit root test consistent against any stationary alternative,"
Working Papers
halshs-03010256, HAL.
- Frédérique Bec & Alain Guay, 2020. "A simple unit root test consistent against any stationary alternative," THEMA Working Papers 2020-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédéric BEC & Alain GUAY, 2020. "A simple unit root test consistent against any stationary alternative," Working Papers 2020-28, Center for Research in Economics and Statistics.
- Gourieroux, Christian & Jasiak, Joann, 2019.
"Robust analysis of the martingale hypothesis,"
Econometrics and Statistics, Elsevier, vol. 9(C), pages 17-41.
- Christian Gouriéroux & Joann Jasiak, 2016. "Robust Analysis of the Martingale Hypothesis," Working Papers 2016-18, Center for Research in Economics and Statistics.
- Davis, Richard A. & Song, Li, 2020. "Noncausal vector AR processes with application to economic time series," Journal of Econometrics, Elsevier, vol. 216(1), pages 246-267.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020.
"Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing [Modèles auto-régressifs non-causaux mixtes: Problèmes de bimodalité pour l'estimation et le test de r," Working Papers hal-02175760, HAL.
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," THEMA Working Papers 2019-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédérique BEC & Heino BOHN NIELSEN & Sarra SAÏDI, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Working Papers 2019-09, Center for Research in Economics and Statistics.
- Antonio Aguirre & Ignacio N. Lobato, 2024. "Evidence of non-fundamentalness in OECD capital stocks," Empirical Economics, Springer, vol. 67(2), pages 761-772, August.
- Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
- Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.
- Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
- Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
- Frederique Bec & Alain Guay, 2020. "A Simple Unit Root Test Consistent Against Any Stationary Alternative," Working Papers 20-20, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Hall, Mauri K. & Jasiak, Joann, 2024. "Modelling common bubbles in cryptocurrency prices," Economic Modelling, Elsevier, vol. 139(C).
- Kramkov, Viacheslav & Maksimov, Andrey, 2020. "Loan market markups and noncausal autoregressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 48-69.
- Francq, Christian & Zakoian, Jean-Michel, 2014.
"Estimating multivariate GARCH and stochastic correlation models equation by equation,"
MPRA Paper
54250, University Library of Munich, Germany.
Cited by:
- Linton, O. & Wu, J., 2016.
"A coupled component GARCH model for intraday and overnight volatility,"
Cambridge Working Papers in Economics
1671, Faculty of Economics, University of Cambridge.
- Oliver Linton & Jianbin Wu, 2017. "A coupled component GARCH model for intraday and overnight volatility," CeMMAP working papers CWP05/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Linton, O. & Wu, J., 2018. "A Coupled Component GARCH Model for Intraday and Overnight Volatility," Cambridge Working Papers in Economics 1879, Faculty of Economics, University of Cambridge.
- El Ghini, Ahmed & Saidi, Youssef, 2014.
"Return and Volatility Spillovers in the Moroccan Stock Market During The Financial Crisis,"
MPRA Paper
53439, University Library of Munich, Germany.
- Ahmed El Ghini & Youssef Saidi, 2017. "Return and volatility spillovers in the Moroccan stock market during the financial crisis," Empirical Economics, Springer, vol. 52(4), pages 1481-1504, June.
- Linton, O. & Wu, J., 2016.
"A coupled component GARCH model for intraday and overnight volatility,"
Cambridge Working Papers in Economics
1671, Faculty of Economics, University of Cambridge.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014.
"Variance targeting estimation of multivariate GARCH models,"
MPRA Paper
57794, University Library of Munich, Germany.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016. "Variance Targeting Estimation of Multivariate GARCH Models," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
Cited by:
- Thieu, Le Quyen, 2016. "Variance targeting estimation of the BEKK-X model," MPRA Paper 75572, University Library of Munich, Germany.
- Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2024.
"A residual bootstrap for conditional Value-at-Risk,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2018. "A Residual Bootstrap for Conditional Value-at-Risk," Papers 1808.09125, arXiv.org, revised Aug 2023.
- Giuseppe Cavaliere & Rasmus Søndergaard Pedersen & Anders Rahbek, 2018. "The Fixed Volatility Bootstrap for a Class of Arch(q) Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 920-941, November.
- Christian Francq & Jean-Michel Zakoian, 2019.
"Virtual Historical Simulation for estimating the conditional VaR of large portfolios,"
Papers
1909.04661, arXiv.org.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2020. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," Journal of Econometrics, Elsevier, vol. 217(2), pages 356-380.
- Barassi, Marco & Horvath, Lajos & Zhao, Yuqian, 2018.
"Change Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models,"
MPRA Paper
87837, University Library of Munich, Germany.
- Marco Barassi & Lajos Horváth & Yuqian Zhao, 2020. "Change‐Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 340-349, April.
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"MGARCH models: Trade-off between feasibility and flexibility,"
International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
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"Networks in risk spillovers: a multivariate GARCH perspective,"
Working Papers
2016:03, Department of Economics, University of Venice "Ca' Foscari".
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- Monica Billio & Massimiliano Caporin & Lorenzo Frattarolo & Loriana Pelizzon, 2020. "Networks in risk spillovers: A multivariate GARCH perspective," Working Papers 2020:16, Department of Economics, University of Venice "Ca' Foscari".
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- Christian Francq & Jean-Michel Zakoian, 2014.
"Multi-level Conditional VaR Estimation in Dynamic Models,"
Working Papers
2014-01, Center for Research in Economics and Statistics.
Cited by:
- Francq, Christian & Zakoian, Jean-Michel, 2015. "Looking for efficient qml estimation of conditional value-at-risk at multiple risk levels," MPRA Paper 67195, University Library of Munich, Germany.
- Gouriéroux, Christian & Zakoian, Jean-Michel, 2014.
"On uniqueness of moving average representations of heavy-tailed stationary processes,"
MPRA Paper
54907, University Library of Munich, Germany.
- Christian Gouriéroux & Jean-Michel Zakoïan, 2015. "On Uniqueness of Moving Average Representations of Heavy-tailed Stationary Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 876-887, November.
Cited by:
- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020.
"Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
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- Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," THEMA Working Papers 2019-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Frédérique BEC & Heino BOHN NIELSEN & Sarra SAÏDI, 2019. "Mixed Causal-Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Working Papers 2019-09, Center for Research in Economics and Statistics.
- Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
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"Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles,"
MPRA Paper
81345, University Library of Munich, Germany.
- Fries, Sébastien & Zakoian, Jean-Michel, 2019. "Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles," Econometric Theory, Cambridge University Press, vol. 35(6), pages 1234-1270, December.
- Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
- Gianluca Cubadda & Francesco Giancaterini & Stefano Grassi, 2025. "Sequential Monte Carlo for Noncausal Processes," Papers 2501.03945, arXiv.org.
- Christian Gouriéroux & Jean-Michel Zakoian, 2013.
"Explosive Bubble Modelling by Noncausal Process,"
Working Papers
2013-04, Center for Research in Economics and Statistics.
Cited by:
- Saikkonen, Pentti & Sandberg, Rickard, 2013.
"Testing for a unit root in noncausal autoregressive models,"
Bank of Finland Research Discussion Papers
26/2013, Bank of Finland.
- Pentti Saikkonen & Rickard Sandberg, 2016. "Testing for a Unit Root in Noncausal Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 99-125, January.
- Christian Gourieroux & Joann Jasiak, 2016. "Filtering, Prediction and Simulation Methods for Noncausal Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 405-430, May.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022.
"Is climate change time reversible?,"
Working Paper series
22-08, Rimini Centre for Economic Analysis, revised Dec 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time-reversible?," Working Papers 498, University of Milano-Bicocca, Department of Economics, revised Nov 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Papers 2205.07579, arXiv.org, revised Nov 2022.
- Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is Climate Change Time-Reversible?," Econometrics, MDPI, vol. 10(4), pages 1-18, December.
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- Andras Fulop & Jun Yu, 2014.
"Bayesian Analysis of Bubbles in Asset Prices,"
Working Papers
04-2014, Singapore Management University, School of Economics.
- Andras Fulop & Jun Yu, 2017. "Bayesian Analysis of Bubbles in Asset Prices," Econometrics, MDPI, vol. 5(4), pages 1-23, October.
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- Gianluca Cubadda & Francesco Giancaterini & Stefano Grassi, 2025. "Sequential Monte Carlo for Noncausal Processes," Papers 2501.03945, arXiv.org.
- Alain Hecq & Daniel Velasquez-Gaviria, 2023. "Spectral identification and estimation of mixed causal-noncausal invertible-noninvertible models," Papers 2310.19543, arXiv.org.
- Christian Gouriéroux & Jean-Michel Zakoïan, 2015.
"On Uniqueness of Moving Average Representations of Heavy-tailed Stationary Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 876-887, November.
- Gouriéroux, Christian & Zakoian, Jean-Michel, 2014. "On uniqueness of moving average representations of heavy-tailed stationary processes," MPRA Paper 54907, University Library of Munich, Germany.
- Saikkonen, Pentti & Sandberg, Rickard, 2013.
"Testing for a unit root in noncausal autoregressive models,"
Bank of Finland Research Discussion Papers
26/2013, Bank of Finland.
- Christian Francq & Jean-Michel Zakoian, 2013.
"Inference in Non Stationary Asymmetric Garch Models,"
Working Papers
2013-11, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoian, Jean-Michel, 2013. "Inference in non stationary asymmetric garch models," MPRA Paper 44901, University Library of Munich, Germany.
Cited by:
- Wang, Guochang & Zhu, Ke & Li, Guodong & Li, Wai Keung, 2022. "Hybrid quantile estimation for asymmetric power GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 264-284.
- Guo, Shaojun & Li, Dong & Li, Muyi, 2019. "Strict stationarity testing and GLAD estimation of double autoregressive models," Journal of Econometrics, Elsevier, vol. 211(2), pages 319-337.
- Min Chen & Dong Li & Shiqing Ling, 2014. "Non-Stationarity And Quasi-Maximum Likelihood Estimation On A Double Autoregressive Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 189-202, May.
- Wang, Hui & Pan, Jiazhu, 2014. "Normal mixture quasi maximum likelihood estimation for non-stationary TGARCH(1,1) models," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 117-123.
- Francq, Christian & Zakoïan, Jean-Michel, 2022.
"Testing the existence of moments for GARCH processes,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 47-64.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Testing the existence of moments for GARCH processes," MPRA Paper 98892, University Library of Munich, Germany.
- Massacci, Daniele, 2014. "A two-regime threshold model with conditional skewed Student t distributions for stock returns," Economic Modelling, Elsevier, vol. 43(C), pages 9-20.
- Guochang Wang & Ke Zhu & Guodong Li & Wai Keung Li, 2019. "Hybrid quantile estimation for asymmetric power GARCH models," Papers 1911.09343, arXiv.org.
- Songhua Tan & Qianqian Zhu, 2022. "Asymmetric linear double autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 371-388, May.
- Aknouche, Abdelhakim & Touche, Nassim, 2015. "Weighted least squares-based inference for stable and unstable threshold power ARCH processes," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 108-115.
- Tao, Yubo, 2019.
"Limit theory for moderate deviation from Integrated GARCH processes,"
Statistics & Probability Letters, Elsevier, vol. 150(C), pages 126-136.
- Yubo Tao, 2018. "Limit Theory for Moderate Deviation from Integrated GARCH Processes," Papers 1806.01229, arXiv.org, revised Dec 2018.
- Li, Dong & Ling, Shiqing & Zhu, Ke, 2016. "ZD-GARCH model: a new way to study heteroscedasticity," MPRA Paper 68621, University Library of Munich, Germany.
- Arvanitis, Stelios, 2019. "Stable limit theory for the Gaussian QMLE in a non-stationary asymmetric GARCH model," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 166-172.
- Li, Dong & Tao, Yuxin & Yang, Yaxing & Zhang, Rongmao, 2023. "Maximum likelihood estimation for α-stable double autoregressive models," Journal of Econometrics, Elsevier, vol. 236(1).
- Davy Paindaveine & Joséa Rasoafaraniaina & Thomas Verdebout, 2021. "Preliminary test estimation in uniformly locally asymptotically normal models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(2), pages 689-707, June.
- Ta-Hsin Li, 2019. "Quantile-Frequency Analysis and Spectral Divergence Metrics for Diagnostic Checks of Time Series With Nonlinear Dynamics," Papers 1908.02545, arXiv.org.
- Aknouche, Abdelhakim, 2015. "Unified quasi-maximum likelihood estimation theory for stable and unstable Markov bilinear processes," MPRA Paper 69572, University Library of Munich, Germany.
- Li, Dong & Zhang, Xingfa & Zhu, Ke & Ling, Shiqing, 2018. "The ZD-GARCH model: A new way to study heteroscedasticity," Journal of Econometrics, Elsevier, vol. 202(1), pages 1-17.
- Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
- Bibi, Abdelouahab & Ghezal, Ahmed, 2017. "Asymptotic properties of QMLE for periodic asymmetric strong and semi-strong GARCH models," MPRA Paper 81126, University Library of Munich, Germany.
- Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2016. "Nonstationary GARCH with t-distributed innovations," Economics Letters, Elsevier, vol. 138(C), pages 19-21.
- Francq, Christian & Wintenberger, Olivier & Zakoian, Jean-Michel, 2012.
"Garch models without positivity constraints: exponential or log garch?,"
MPRA Paper
41373, University Library of Munich, Germany.
- Francq, Christian & Wintenberger, Olivier & Zakoïan, Jean-Michel, 2013. "GARCH models without positivity constraints: Exponential or log GARCH?," Journal of Econometrics, Elsevier, vol. 177(1), pages 34-46.
Cited by:
- Chen, Min & Zhu, Ke, 2013. "Sign-based portmanteau test for ARCH-type models with heavy-tailed innovations," MPRA Paper 50487, University Library of Munich, Germany.
- Wintenberger, Olivier, 2013.
"Continuous invertibility and stable QML estimation of the EGARCH(1,1) model,"
MPRA Paper
46027, University Library of Munich, Germany.
- Olivier Wintenberger, 2013. "Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 846-867, December.
- Sucarrat, Genaro & Grønneberg, Steffen, 2016. "Models of Financial Return With Time-Varying Zero Probability," MPRA Paper 68931, University Library of Munich, Germany.
- Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2016.
"Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 582-594.
- Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2013. "Estimation and Inference in Univariate and Multivariate Log-GARCH-X Models When the Conditional Density is Unknown," MPRA Paper 49344, University Library of Munich, Germany.
- Boubacar Maïnassara, Y. & Kadmiri, O. & Saussereau, B., 2022. "Estimation of multivariate asymmetric power GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
- Holger Fink & Andreas Fuest & Henry Port, 2018. "The Impact of Sovereign Yield Curve Differentials on Value-at-Risk Forecasts for Foreign Exchange Rates," Risks, MDPI, vol. 6(3), pages 1-19, August.
- Sucarrat, Genaro & Escribano, Alvaro, 2013.
"Unbiased QML Estimation of Log-GARCH Models in the Presence of Zero Returns,"
MPRA Paper
50699, University Library of Munich, Germany.
- Sucarrat, Genaro, 2013. "Unbiased QML Estimation of Log-GARCH Models in the Presence of Zero Returns," UC3M Working papers. Economics we1321, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Esmeralda Gonçalves & Joana Leite & NazarÉ Mendes-Lopes, 2016. "On the Distribution Estimation of Power Threshold Garch Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 579-602, September.
- Ali Ahmad & Christian Francq, 2015.
"Poisson QMLE of Count Time Series Models,"
Post-Print
hal-01533548, HAL.
- Ali Ahmad & Christian Francq, 2016. "Poisson QMLE of Count Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 291-314, May.
- Ahmad, Ali & Francq, Christian, 2014. "Poisson qmle of count time series models," MPRA Paper 59804, University Library of Munich, Germany.
- Chen, Min & Zhu, Ke, 2015. "Sign-based portmanteau test for ARCH-type models with heavy-tailed innovations," Journal of Econometrics, Elsevier, vol. 189(2), pages 313-320.
- Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
- Rewat Khanthaporn, 2022. "Analysis of Nonlinear Comovement of Benchmark Thai Government Bond Yields," PIER Discussion Papers 183, Puey Ungphakorn Institute for Economic Research.
- Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
- HAFNER Christian, & KYRIAKOPOULOU Dimitra,, 2019.
"Exponential-type GARCH models with linear-in-variance risk premium,"
LIDAM Discussion Papers CORE
2019013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Christian M. Hafner & Dimitra Kyriakopoulou, 2021. "Exponential-Type GARCH Models With Linear-in-Variance Risk Premium," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 589-603, March.
- Hafner, Christian & Kyriakopoulou, Dimitra, 2020. "Exponential-Type GARCH Models With Linear-in-Variance Risk Premium," LIDAM Reprints ISBA 2020029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Ming Chen & Qiongxia Song, 2016. "Semi-parametric estimation and forecasting for exogenous log-GARCH models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 93-112, March.
- Xiaoning Kang & Xinwei Deng & Kam‐Wah Tsui & Mohsen Pourahmadi, 2020. "On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices," International Statistical Review, International Statistical Institute, vol. 88(3), pages 616-641, December.
- Francq, Christian & Sucarrat, Genaro, 2013.
"An Exponential Chi-Squared QMLE for Log-GARCH Models Via the ARMA Representation,"
MPRA Paper
51783, University Library of Munich, Germany.
- Christian Francq & Genaro Sucarrat, 2018. "An Exponential Chi-Squared QMLE for Log-GARCH Models Via the ARMA Representation," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 129-154.
- Pourkhanali, Armin & Tafakori, Laleh & Bee, Marco, 2023. "Forecasting Value-at-Risk using functional volatility incorporating an exogenous effect," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2014.
"Testing for Leverage Effects in the Returns of US Equities,"
Documents de travail du Centre d'Economie de la Sorbonne
14022r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
- Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2017. "Testing for Leverage Effects in the Returns of US Equities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00973922, HAL.
- Chorro, Christophe & Guégan, Dominique & Ielpo, Florian & Lalaharison, Hanjarivo, 2018. "Testing for leverage effects in the returns of US equities," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 290-306.
- Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2018. "Testing for leverage effects in the returns of US equities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01917590, HAL.
- Yuanhua Feng & Thomas Gries & Sebastian Letmathe, 2023. "FIEGARCH, modulus asymmetric FILog-GARCH and trend-stationary dual long memory time series," Working Papers CIE 156, Paderborn University, CIE Center for International Economics.
- Ahmed BenSaïda, 2021. "The Good and Bad Volatility: A New Class of Asymmetric Heteroskedastic Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 540-570, April.
- Christian Francq & Olivier Wintenberger & Jean-Michel Zakoïan, 2018. "Goodness-of-fit tests for Log-GARCH and EGARCH models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 27-51, March.
- Wang, Kai Y.K. & Chen, Cathy W.S. & So, Mike K.P., 2023. "Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
- Abdeljalil Settar & Nadia Idrissi Fatmi & Mohammed Badaoui, 2021. "New Approach in Dealing with the Non-Negativity of the Conditional Variance in the Estimation of GARCH Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 55-74, March.
- Bing Su & Fukang Zhu & Ke Zhu, 2023. "Statistical inference for the logarithmic spatial heteroskedasticity model with exogenous variables," Papers 2301.06658, arXiv.org.
- Zhu, Ke & Li, Wai Keung, 2014.
"A new Pearson-type QMLE for conditionally heteroskedastic models,"
MPRA Paper
52732, University Library of Munich, Germany.
- Zhu, Ke & Li, Wai Keung, 2013. "A new Pearson-type QMLE for conditionally heteroskedastic models," MPRA Paper 52344, University Library of Munich, Germany.
- Xu, Yongdeng, 2024. "Extended multivariate EGARCH model: A model for zero†return and negative spillovers," Cardiff Economics Working Papers E2024/24, Cardiff University, Cardiff Business School, Economics Section.
- Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2017. "Testing for Leverage Effects in the Returns of US Equities," Post-Print halshs-00973922, HAL.
- Brownlees, Christian & Llorens-Terrazas, Jordi, 2024. "Empirical risk minimization for time series: Nonparametric performance bounds for prediction," Journal of Econometrics, Elsevier, vol. 244(1).
- Zhu, Ke, 2015. "Hausman tests for the error distribution in conditionally heteroskedastic models," MPRA Paper 66991, University Library of Munich, Germany.
- Xu, Yongdeng, 2022. "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.
- Philipp Otto & Wolfgang Schmid, 2023. "A general framework for spatial GARCH models," Statistical Papers, Springer, vol. 64(5), pages 1721-1747, October.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2021. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, vol. 224(2), pages 306-329.
- Cynthia Royal Tori & Scott L. Tori, 2019. "Swedish krona-euro return volatility and non-traditional monetary policies," Economics Bulletin, AccessEcon, vol. 39(3), pages 2162-2174.
- Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
- Donggyu Kim, 2021. "Exponential GARCH-Ito Volatility Models," Papers 2111.04267, arXiv.org.
- Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
- Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2014. "Testing for Leverage Effect in Financial Returns," Documents de travail du Centre d'Economie de la Sorbonne 14022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- M. Dolores Jiménez-Gamero & Sangyeol Lee & Simos G. Meintanis, 2020. "Goodness-of-fit tests for parametric specifications of conditionally heteroscedastic models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 682-703, September.
- Min-Hsien Chiang & Ray Yeutien Chou & Li-Min Wang, 2016. "Outlier Detection in the Lognormal Logarithmic Conditional Autoregressive Range Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 126-144, February.
- Christan Francq & Jean-Michel Zakoian, 2012.
"Optimal Predictions of Powers of Conditionally Heteroskedastic Processes,"
Working Papers
2012-17, Center for Research in Economics and Statistics.
- Christian Francq & Jean-Michel Zakoïan, 2013. "Optimal predictions of powers of conditionally heteroscedastic processes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 345-367, March.
- Francq, Christian & Zakoian, Jean-Michel, 2010. "Optimal predictions of powers of conditionally heteroskedastic processes," MPRA Paper 22155, University Library of Munich, Germany.
Cited by:
- Ziel, Florian, 2016. "Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR–ARCH type processes," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 773-793.
- Wang, Guochang & Zhu, Ke & Li, Guodong & Li, Wai Keung, 2022. "Hybrid quantile estimation for asymmetric power GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 264-284.
- Chen, Min & Zhu, Ke, 2013. "Sign-based portmanteau test for ARCH-type models with heavy-tailed innovations," MPRA Paper 50487, University Library of Munich, Germany.
- Francq, Christian & Zakoian, Jean-Michel, 2012.
"Risk-parameter estimation in volatility models,"
MPRA Paper
41713, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2015. "Risk-parameter estimation in volatility models," Journal of Econometrics, Elsevier, vol. 184(1), pages 158-173.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016.
"Variance Targeting Estimation of Multivariate GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
- Mohamed El Ghourabi & Christian Francq & Fedya Telmoudi, 2016.
"Consistent Estimation of the Value at Risk When the Error Distribution of the Volatility Model is Misspecified,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 46-76, January.
- El Ghourabi, Mohamed & Francq, Christian & Telmoudi, Fedya, 2013. "Consistent estimation of the Value-at-Risk when the error distribution of the volatility model is misspecified," MPRA Paper 51150, University Library of Munich, Germany.
- Florian Ziel, 2015. "Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes," Papers 1502.06557, arXiv.org, revised Dec 2015.
- Francq, Christian & Zakoian, Jean-Michel, 2015. "Looking for efficient qml estimation of conditional value-at-risk at multiple risk levels," MPRA Paper 67195, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoian, 2019.
"Virtual Historical Simulation for estimating the conditional VaR of large portfolios,"
Papers
1909.04661, arXiv.org.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2020. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," Journal of Econometrics, Elsevier, vol. 217(2), pages 356-380.
- Francq, Christian & Zakoïan, Jean-Michel, 2022.
"Testing the existence of moments for GARCH processes,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 47-64.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Testing the existence of moments for GARCH processes," MPRA Paper 98892, University Library of Munich, Germany.
- Guochang Wang & Ke Zhu & Guodong Li & Wai Keung Li, 2019. "Hybrid quantile estimation for asymmetric power GARCH models," Papers 1911.09343, arXiv.org.
- M. Angeles Carnero Fernández & Ana Pérez Espartero, 2018.
"Outliers and misleading leverage effect in asymmetric GARCH-type models,"
Working Papers. Serie AD
2018-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Carnero M. Angeles & Pérez Ana, 2021. "Outliers and misleading leverage effect in asymmetric GARCH-type models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-19, February.
- Chen, Min & Zhu, Ke, 2015. "Sign-based portmanteau test for ARCH-type models with heavy-tailed innovations," Journal of Econometrics, Elsevier, vol. 189(2), pages 313-320.
- Aknouche, Abdelhakim & Touche, Nassim, 2015. "Weighted least squares-based inference for stable and unstable threshold power ARCH processes," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 108-115.
- Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
- Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
- Li, Dong & Ling, Shiqing & Zhu, Ke, 2016. "ZD-GARCH model: a new way to study heteroscedasticity," MPRA Paper 68621, University Library of Munich, Germany.
- Zhu, Ke & Li, Wai Keung, 2014.
"A new Pearson-type QMLE for conditionally heteroskedastic models,"
MPRA Paper
52732, University Library of Munich, Germany.
- Zhu, Ke & Li, Wai Keung, 2013. "A new Pearson-type QMLE for conditionally heteroskedastic models," MPRA Paper 52344, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoian, 2014. "Multi-level Conditional VaR Estimation in Dynamic Models," Working Papers 2014-01, Center for Research in Economics and Statistics.
- Zhu, Ke, 2015. "Hausman tests for the error distribution in conditionally heteroskedastic models," MPRA Paper 66991, University Library of Munich, Germany.
- Aknouche, Abdelhakim, 2015. "Unified quasi-maximum likelihood estimation theory for stable and unstable Markov bilinear processes," MPRA Paper 69572, University Library of Munich, Germany.
- Loïc Cantin & Christian Francq & Jean-Michel Zakoïan, 2022. "Estimating dynamic systemic risk measures," Working Papers 2022-11, Center for Research in Economics and Statistics.
- Zhu, Ke, 2023. "A new generalized exponentially weighted moving average quantile model and its statistical inference," Journal of Econometrics, Elsevier, vol. 237(1).
- Francq, Christian & Lepage, Guillaume & Zakoïan, Jean-Michel, 2011. "Two-stage non Gaussian QML estimation of GARCH models and testing the efficiency of the Gaussian QMLE," Journal of Econometrics, Elsevier, vol. 165(2), pages 246-257.
- Li, Dong & Zhang, Xingfa & Zhu, Ke & Ling, Shiqing, 2018. "The ZD-GARCH model: A new way to study heteroscedasticity," Journal of Econometrics, Elsevier, vol. 202(1), pages 1-17.
- Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.
- Christian Gouriéroux & Jean-Michel Zakoian, 2012.
"Estimation Adjusted VaR,"
Working Papers
2012-16, Center for Research in Economics and Statistics.
- Gourieroux, Christian & Zakoïan, Jean-Michel, 2013. "Estimation-Adjusted Var," Econometric Theory, Cambridge University Press, vol. 29(4), pages 735-770, August.
Cited by:
- Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020.
"A cost-benefit analysis of capital requirements adjusted for model risk,"
Journal of Corporate Finance, Elsevier, vol. 65(C).
- Walter Farkas & Fulvia Fringuellotti & Radu Tunaru, 2020. "A Cost-Benefit Analysis of Capital Requirements Adjusted for Model Risk," Swiss Finance Institute Research Paper Series 20-86, Swiss Finance Institute.
- Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017.
"Risk Measure Inference,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
- Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Post-Print hal-01457393, HAL.
- Christophe Hurlin & Sebastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2015. "Risk Measure Inference," Working Papers halshs-00877279, HAL.
- Ophélie Couperier & Jérémy Leymarie, 2020. "Backtesting Expected Shortfall via Multi-Quantile Regression," Working Papers halshs-01909375, HAL.
- Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
- Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
- Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.
- Francq, Christian & Zakoian, Jean-Michel, 2012.
"Risk-parameter estimation in volatility models,"
MPRA Paper
41713, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2015. "Risk-parameter estimation in volatility models," Journal of Econometrics, Elsevier, vol. 184(1), pages 158-173.
Cited by:
- Wang, Guochang & Zhu, Ke & Li, Guodong & Li, Wai Keung, 2022. "Hybrid quantile estimation for asymmetric power GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 264-284.
- Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2024.
"A residual bootstrap for conditional Value-at-Risk,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2018. "A Residual Bootstrap for Conditional Value-at-Risk," Papers 1808.09125, arXiv.org, revised Aug 2023.
- Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2019. "A General Framework for Prediction in Time Series Models," Papers 1902.01622, arXiv.org.
- Mohamed El Ghourabi & Christian Francq & Fedya Telmoudi, 2016.
"Consistent Estimation of the Value at Risk When the Error Distribution of the Volatility Model is Misspecified,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 46-76, January.
- El Ghourabi, Mohamed & Francq, Christian & Telmoudi, Fedya, 2013. "Consistent estimation of the Value-at-Risk when the error distribution of the volatility model is misspecified," MPRA Paper 51150, University Library of Munich, Germany.
- Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017.
"Risk Measure Inference,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
- Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Post-Print hal-01457393, HAL.
- Christophe Hurlin & Sebastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2015. "Risk Measure Inference," Working Papers halshs-00877279, HAL.
- Francq, Christian & Zakoian, Jean-Michel, 2015. "Looking for efficient qml estimation of conditional value-at-risk at multiple risk levels," MPRA Paper 67195, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoian, 2019.
"Virtual Historical Simulation for estimating the conditional VaR of large portfolios,"
Papers
1909.04661, arXiv.org.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2020. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," Journal of Econometrics, Elsevier, vol. 217(2), pages 356-380.
- Eric Beutner & Julia Schaumburg & Barend Spanjers, 2024. "Bootstrapping GARCH Models Under Dependent Innovations," Tinbergen Institute Discussion Papers 24-008/III, Tinbergen Institute.
- Yannick Hoga, 2023. "The Estimation Risk in Extreme Systemic Risk Forecasts," Papers 2304.10349, arXiv.org.
- Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019.
"Dynamic semiparametric models for expected shortfall (and Value-at-Risk),"
Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
- Andrew J. Patton & Johanna F. Ziegel & Rui Chen, 2017. "Dynamic Semiparametric Models for Expected Shortfall (and Value-at-Risk)," Papers 1707.05108, arXiv.org.
- Guochang Wang & Ke Zhu & Guodong Li & Wai Keung Li, 2019. "Hybrid quantile estimation for asymmetric power GARCH models," Papers 1911.09343, arXiv.org.
- Alexander Heinemann & Sean Telg, 2018. "A Residual Bootstrap for Conditional Expected Shortfall," Papers 1811.11557, arXiv.org.
- Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
- Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
- Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
- Rangika Peiris & Chao Wang & Richard Gerlach & Minh-Ngoc Tran, 2024. "Semi-parametric financial risk forecasting incorporating multiple realized measures," Papers 2402.09985, arXiv.org, revised Dec 2024.
- Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2017.
"A Justification of Conditional Confidence Intervals,"
Research Memorandum
023, Maastricht University, Graduate School of Business and Economics (GSBE).
- Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2017. "A Justification of Conditional Confidence Intervals," Papers 1710.00643, arXiv.org, revised Jan 2019.
- Abadir, Karim M. & Luati, Alessandra & Paruolo, Paolo, 2023. "GARCH density and functional forecasts," Journal of Econometrics, Elsevier, vol. 235(2), pages 470-483.
- Lazar, Emese & Wang, Shixuan & Xue, Xiaohan, 2023. "Loss function-based change point detection in risk measures," European Journal of Operational Research, Elsevier, vol. 310(1), pages 415-431.
- Alexander Heinemann, 2019. "A Bootstrap Test for the Existence of Moments for GARCH Processes," Papers 1902.01808, arXiv.org, revised Jul 2019.
- Santiago Gamba Santamaría & Oscar Fernando Jaulín Méndez & Luis Fernando Melo Velandia & Carlos Andrés Quicazán Moreno, 2016.
"Comparison of Methods for Estimating the Uncertainty of Value at Risk,"
Borradores de Economia
14263, Banco de la Republica.
- Santiago Gamba Santamaría & Oscar Fernando Jaulín Méndez & Luis Fernando Melo Velandia & Carlos Andrés Quicazán Moreno, 2016. "Comparison of Methods for Estimating the Uncertainty of Value at Risk," Borradores de Economia 927, Banco de la Republica de Colombia.
- Santiago Gamba-Santamaria & Oscar Fernando Jaulin-Mendez & Luis Fernando Melo-Velandia & Carlos Andrés Quicazán-Moreno, 2016. "Comparison of methods for estimating the uncertainty of value at risk," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(4), pages 595-624, October.
- Santiago Gamba Santamaría & Oscar Fernando Jaulín Méndez & Luis Fernando Melo Velandia & Carlos Andrés Quicazán Moreno, 2015. "Comparación De Métodos Para La Estimación De La Incertidumbre Del Valor En Riesgo," Temas de Estabilidad Financiera 83, Banco de la Republica de Colombia.
- Christian Francq & Jean-Michel Zakoian, 2014. "Multi-level Conditional VaR Estimation in Dynamic Models," Working Papers 2014-01, Center for Research in Economics and Statistics.
- Spierdijk, Laura, 2016. "Confidence intervals for ARMA–GARCH Value-at-Risk: The case of heavy tails and skewness," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 545-559.
- Christian Francq & Jean-Michel Zakoïan, 2020. "Adaptiveness of the empirical distribution of residuals in semi- parametric conditional location scale models," Working Papers hal-02898909, HAL.
- Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.
- Christian Francq & Jean-Michel Zakoïan, 2011.
"Estimating the Marginal Law of a Time Series with Applications to Heavy Tailed Distributions,"
Working Papers
2011-30, Center for Research in Economics and Statistics.
- Christian Francq & Jean-Michel Zakoïan, 2013. "Estimating the Marginal Law of a Time Series With Applications to Heavy-Tailed Distributions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 412-425, October.
Cited by:
- Lin Zhang & Harry Joe & Natalia Nolde, 2024. "Margin‐closed vector autoregressive time series models," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(2), pages 269-297, March.
- Stéphane Auray & Aurélien Eyquem & Frédéric Jouneau-Sion, 2014.
"Modelling Tails of Aggregated Economic Processes in a Stochastic Growth Model,"
Post-Print
halshs-00995703, HAL.
- Stéphane Auray & Aurélien Eyquem & Fréderic Jouneau-Sion, 2012. "Modelling Tails of Aggregated Economic Processes in a Stochastic Growth Model," Working Papers 2012-29, Center for Research in Economics and Statistics.
- Auray, Stéphane & Eyquem, Aurélien & Jouneau-Sion, Frédéric, 2014. "Modeling tails of aggregate economic processes in a stochastic growth model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 76-94.
- PREMINGER Arie & STORTI Giuseppe, 2017.
"Least squares estimation for GARCH (1,1) model with heavy tailed errors,"
LIDAM Discussion Papers CORE
2017015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Preminger, Arie & Storti, Giuseppe, 2014. "Least squares estimation for GARCH (1,1) model with heavy tailed errors," MPRA Paper 59082, University Library of Munich, Germany.
- Christian H. Weiß, 2018. "Goodness-of-fit testing of a count time series’ marginal distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(6), pages 619-651, August.
- Valentin Courgeau & Almut E.D. Veraart, 2022. "Asymptotic theory for the inference of the latent trawl model for extreme values," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1448-1495, December.
- Zhang, Xingfa & Zhang, Rongmao & Li, Yuan & Ling, Shiqing, 2022. "LADE-based inferences for autoregressive models with heavy-tailed G-GARCH(1, 1) noise," Journal of Econometrics, Elsevier, vol. 227(1), pages 228-240.
- Fries, Sébastien & Zakoian, Jean-Michel, 2017.
"Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles,"
MPRA Paper
81345, University Library of Munich, Germany.
- Fries, Sébastien & Zakoian, Jean-Michel, 2019. "Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles," Econometric Theory, Cambridge University Press, vol. 35(6), pages 1234-1270, December.
- Delaigle, Aurore & Meister, Alexander & Rombouts, Jeroen, 2016. "Root-T consistent density estimation in GARCH models," Journal of Econometrics, Elsevier, vol. 192(1), pages 55-63.
- Echaust Krzysztof, 2014. "A Comparison of Tail Behaviour of Stock Market Returns," Folia Oeconomica Stetinensia, Sciendo, vol. 14(1), pages 22-34, June.
- Yang, Yaxing & Ling, Shiqing, 2017. "Self-weighted LAD-based inference for heavy-tailed threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 197(2), pages 368-381.
- Francq, Christian & Zakoian, Jean-Michel, 2010.
"Strict stationarity testing and estimation of explosive ARCH models,"
MPRA Paper
22414, University Library of Munich, Germany.
Cited by:
- Aknouche, Abdelhakim & Al-Eid, Eid M. & Hmeid, Aboubakry M., 2011. "Offline and online weighted least squares estimation of nonstationary power ARCH processes," Statistics & Probability Letters, Elsevier, vol. 81(10), pages 1535-1540, October.
- Abdelhakim Aknouche & Eid Al-Eid, 2012. "Asymptotic inference of unstable periodic ARCH processes," Statistical Inference for Stochastic Processes, Springer, vol. 15(1), pages 61-79, April.
- Christian Bucio-Pacheco & Miriam Sosa-Castro & Francisco Reyes-Zarate, 2023. "Volatilidad dinamica en el sector bancario en Mexico: evidencia DCC-GARCH vs Copula-GARCH," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 20(2), pages 69-93, Julio-Dic.
- Regnard, Nazim & Zakoian, Jean-Michel, 2010.
"A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices,"
MPRA Paper
22642, University Library of Munich, Germany.
- Regnard, Nazim & Zakoïan, Jean-Michel, 2011. "A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1240-1251.
Cited by:
- Nick, Sebastian & Thoenes, Stefan, 2014.
"What drives natural gas prices? — A structural VAR approach,"
Energy Economics, Elsevier, vol. 45(C), pages 517-527.
- Nick, Sebastian & Thoenes, Stefan, 2013. "What Drives Natural Gas Prices? - A Structural VAR Approach," EWI Working Papers 2013-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
- Hulshof, Daan & van der Maat, Jan-Pieter & Mulder, Machiel, 2016. "Market fundamentals, competition and natural-gas prices," Energy Policy, Elsevier, vol. 94(C), pages 480-491.
- Ruszel, Mariusz, 2020. "The significance of the Baltic Sea Region for natural gas supplies to the V4 countries," Energy Policy, Elsevier, vol. 146(C).
- Ivan Aleksandrovich Kopytin & Alexander Oskarovich Maslennikov & Stanislav Vyacheslavovich Zhukov, 2022. "Europe in World Natural Gas Market: International Transmission of European Price Shocks," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 8-15, May.
- Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
- Cao, Yan & Cheng, Sheng & Li, Xinran, 2024. "Co-movements between heterogeneous crude oil and food markets: Does temperature change really matter?," Research in International Business and Finance, Elsevier, vol. 67(PB).
- Rajae Azrak & Guy Mélard, 2022. "Autoregressive Models with Time-Dependent Coefficients—A Comparison between Several Approaches," Stats, MDPI, vol. 5(3), pages 1-21, August.
- Aknouche Abdelhakim & Demmouche Nacer & Dimitrakopoulos Stefanos & Touche Nassim, 2020. "Bayesian analysis of periodic asymmetric power GARCH models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-24, September.
- Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
- Kirat, Yassine, 2021. "The US shale gas revolution: An opportunity for the US manufacturing sector?," International Economics, Elsevier, vol. 167(C), pages 59-77.
- Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
- Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
- Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
- Akcora, Begum & Kandemir Kocaaslan, Ozge, 2023. "Price bubbles in the European natural gas market between 2011 and 2020," Resources Policy, Elsevier, vol. 80(C).
- Nazim Regnard & Jean‐Michel Zakoïan, 2010. "Structure and estimation of a class of nonstationary yet nonexplosive GARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 348-364, September.
- Tao, Hu & Zhuang, Shan & Xue, Rui & Cao, Wei & Tian, Jinfang & Shan, Yuli, 2022. "Environmental Finance: An Interdisciplinary Review," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
- Yassine Kirat, 2021. "The US shale gas revolution: An opportunity for the US manufacturing sector?," Post-Print hal-03676616, HAL.
- Wang, Tiantian & Qu, Wan & Zhang, Dayong & Ji, Qiang & Wu, Fei, 2022. "Time-varying determinants of China's liquefied natural gas import price: A dynamic model averaging approach," Energy, Elsevier, vol. 259(C).
- Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.
- Christian Francq & Jean-Michel Zakoïan, 2010.
"Inconsistency of the MLE and inference based on weighted LS for LARCH models,"
Post-Print
hal-00732536, HAL.
- Francq, Christian & Zakoïan, Jean-Michel, 2010. "Inconsistency of the MLE and inference based on weighted LS for LARCH models," Journal of Econometrics, Elsevier, vol. 159(1), pages 151-165, November.
Cited by:
- Jean-Michel Grandmont, 2016.
"Endogenous Procyclicality of Labor Productivity, Employment, Real Wages and Effort in Conditionally Heteroskedastic Sunspots Unemployment Business Cycles with Negishi-Solow Efficiency Wages,"
Working Papers
2016:10, Department of Economics, University of Venice "Ca' Foscari".
- Jean-Michel Grandmont, 2016. "Endogenous Procyclicality of Labor Productivity, Employment, Real Wages and Effort in Conditionally Heteroskedastic Sunspots Unemployment Business Cycles with Negishi-Solow Efficiency Wages," Discussion Paper Series DP2016-14, Research Institute for Economics & Business Administration, Kobe University.
- Mohamed Beraich & Karim Amzile & Jaouad Laamire & Omar Zirari & Mohamed Amine Fadali, 2022. "Volatility Spillover Effects of the US, European and Chinese Financial Markets in the Context of the Russia–Ukraine Conflict," IJFS, MDPI, vol. 10(4), pages 1-18, October.
- Francq, Christian & Wintenberger, Olivier & Zakoïan, Jean-Michel, 2013.
"GARCH models without positivity constraints: Exponential or log GARCH?,"
Journal of Econometrics, Elsevier, vol. 177(1), pages 34-46.
- Francq, Christian & Wintenberger, Olivier & Zakoian, Jean-Michel, 2012. "Garch models without positivity constraints: exponential or log garch?," MPRA Paper 41373, University Library of Munich, Germany.
- Joanna Bruzda, 2020. "Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 309-336, March.
- Feiyu Jiang & Dong Li & Ke Zhu, 2019. "Non-standard inference for augmented double autoregressive models with null volatility coefficients," Papers 1905.01798, arXiv.org.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2020. "Non-standard inference for augmented double autoregressive models with null volatility coefficients," Journal of Econometrics, Elsevier, vol. 215(1), pages 165-183.
- Ieva Grublytė & Donatas Surgailis & Andrius Škarnulis, 2017. "QMLE for Quadratic ARCH Model with Long Memory," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 535-551, July.
- Abdelhakim Aknouche & Eid Al-Eid, 2012. "Asymptotic inference of unstable periodic ARCH processes," Statistical Inference for Stochastic Processes, Springer, vol. 15(1), pages 61-79, April.
- Hallin, Marc & La Vecchia, Davide, 2017. "R-estimation in semiparametric dynamic location-scale models," Journal of Econometrics, Elsevier, vol. 196(2), pages 233-247.
- Jorge López Villa & Miriam Sosa Castro, 2021. "Contagio en la volatilidad entre los mercados de capital y de divisas en México y Brasil (2000-2020)," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-28, Septiembr.
- Jean-Michel Grandmont, "undated".
"Countercyclical Endogenous Uncertainty Shocks, Efficiency Wages and Procyclical Precautionary Labor Productivity,"
Working Papers
2017:25, Department of Economics, University of Venice "Ca' Foscari".
- Jean-Michel Grandmont, 2017. "Countercyclical Endogenous Uncertainty Shocks, Efficiency Wages and Procyclical Precautionary Labor Productivity," Discussion Paper Series DP2017-32, Research Institute for Economics & Business Administration, Kobe University.
- Jean-Michel Grandmont, 2017. "Countercyclical Endogenous Uncertainty Shocks, Efficiency Wages and Procyclical Precautionary Labor Productivity," Working Papers 2017-12, Center for Research in Economics and Statistics.
- Bruno Milani & Paulo Sergio Ceretta, 2013. "Do Brazilian REITs depend on Real Estate sector companies or Overall Market?," Economics Bulletin, AccessEcon, vol. 33(4), pages 2948-2957.
- Jean-Michel Grandmont, 2016. "Endogenous Procyclicality of Labor Productivity, Employment, Real Wages and Effort in Conditionally Heteroskedastic Sunspots Unemployment Business Cycles with Negishi-Solow Efficiency Wages," Working Papers 2016-06, Center for Research in Economics and Statistics.
- Bardet, Jean-Marc & Doukhan, Paul & Wintenberger, Olivier, 2022. "Contrast estimation of time-varying infinite memory processes," Stochastic Processes and their Applications, Elsevier, vol. 152(C), pages 32-85.
- Marc Hallin & Davide La Vecchia, 2014. "Semiparametrically Efficient R-Estimation for Dynamic Location-Scale Models," Working Papers ECARES ECARES 2014-45, ULB -- Universite Libre de Bruxelles.
- Francq, Christian & Zakoian, Jean-Michel, 2010.
"QML estimation of a class of multivariate GARCH models without moment conditions on the observed process,"
MPRA Paper
20779, University Library of Munich, Germany.
Cited by:
- Rasmus Søndergaard Pedersen & Anders Rahbek, 2012.
"Multivariate Variance Targeting in the BEKK-GARCH Model,"
Discussion Papers
12-23, University of Copenhagen. Department of Economics.
- Rasmus S. Pedersen & Anders Rahbek, 2014. "Multivariate variance targeting in the BEKK–GARCH model," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 24-55, February.
- Rasmus Søndergaard Pedersen & Anders Rahbek, 2012. "Multivariate Variance Targeting in the BEKK-GARCH Model," CREATES Research Papers 2012-53, Department of Economics and Business Economics, Aarhus University.
- Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2016.
"Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 582-594.
- Sucarrat, Genaro & Grønneberg, Steffen & Escribano, Alvaro, 2013. "Estimation and Inference in Univariate and Multivariate Log-GARCH-X Models When the Conditional Density is Unknown," MPRA Paper 49344, University Library of Munich, Germany.
- Caporin, M. & McAleer, M.J., 2012.
"Robust Ranking of Multivariate GARCH Models by Problem Dimension,"
Econometric Institute Research Papers
EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Massimiliano Caporin & Michael McAleer, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Working Papers in Economics 12/06, University of Canterbury, Department of Economics and Finance.
- Caporin, Massimiliano & McAleer, Michael, 2014. "Robust ranking of multivariate GARCH models by problem dimension," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 172-185.
- Massimiliano Caporin & Michael McAleer, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Documentos de Trabajo del ICAE 2012-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
- Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
- Massimiliano Caporin & Michael McAleer, 2011.
"Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation,"
Working Papers in Economics
11/23, University of Canterbury, Department of Economics and Finance.
- Massimiliano Caporin & Michael McAleer, 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Documentos de Trabajo del ICAE 2011-20, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Massimiliano Caporin, 2011. "Ranking Multivariate GARCH Models by Problem Dimension:An Empirical Evaluation," KIER Working Papers 778, Kyoto University, Institute of Economic Research.
- Massimiliano Caporin & Paolo Paruolo, 2015. "Proximity-Structured Multivariate Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 559-593, May.
- Rasmus Søndergaard Pedersen & Anders Rahbek, 2012.
"Multivariate Variance Targeting in the BEKK-GARCH Model,"
Discussion Papers
12-23, University of Copenhagen. Department of Economics.
- Christian FRANCQ & Lajos HORVATH & Jean-Michel ZAKOIAN, 2009.
"Sup-Tests for Linearity in a General Nonlinear AR(1) Model,"
Working Papers
2009-16, Center for Research in Economics and Statistics.
- Francq, Christian & Horvath, Lajos & Zakoïan, Jean-Michel, 2010. "Sup-Tests For Linearity In A General Nonlinear Ar(1) Model," Econometric Theory, Cambridge University Press, vol. 26(4), pages 965-993, August.
Cited by:
- Yae Ji Jun & Jin Seo Cho, 2015. "Analyzing the Interrelationship of the Statistics for Testing Neglected Nonlinearity under the Null of Linearity," Working papers 2015rwp-78, Yonsei University, Yonsei Economics Research Institute.
- Wei-Wen Hsu & David Todem & Kyungmann Kim, 2015. "Adjusted Supremum Score-Type Statistics for Evaluating Non-Standard Hypotheses," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(3), pages 746-759, September.
- Jungsik Noh & Sangyeol Lee, 2016. "Quantile Regression for Location-Scale Time Series Models with Conditional Heteroscedasticity," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(3), pages 700-720, September.
- Christian Francq & Olivier Wintenberger & Jean-Michel Zakoïan, 2018. "Goodness-of-fit tests for Log-GARCH and EGARCH models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 27-51, March.
- Rehim Kılıç, 2016. "Tests for Linearity in Star Models: Supwald and Lm-Type Tests," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 660-674, September.
- Christian Francq & Baye Matar Kandji & Jean-Michel Zakoian, 2022. "Inference on Multiplicative Component GARCH without any Small-Order Moment," Working Papers 2022-09, Center for Research in Economics and Statistics.
- Sophie DABO-NIANG & Christian FRANCQ & Jean-Michel ZAKOIAN, 2009.
"Combining Nonparametric and Optimal Linear Time Series Predictions,"
Working Papers
2009-18, Center for Research in Economics and Statistics.
- Dabo-Niang, Sophie & Francq, Christian & Zakoïan, Jean-Michel, 2010. "Combining Nonparametric and Optimal Linear Time Series Predictions," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1554-1565.
Cited by:
- Herwartz, Helmut, 2017. "Stock return prediction under GARCH — An empirical assessment," International Journal of Forecasting, Elsevier, vol. 33(3), pages 569-580.
- Ardelean, Vlad & Pleier, Thomas, 2013. "Outliers & predicting time series: A comparative study," FAU Discussion Papers in Economics 05/2013, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Christian FRANCQ & Lajos HORVATH & Jean-Michel ZAKOIAN, 2009.
"Merits and Drawbacks of Variance Targeting in GARCH Models,"
Working Papers
2009-17, Center for Research in Economics and Statistics.
- Christian Francq & Lajos Horváth, 2011. "Merits and Drawbacks of Variance Targeting in GARCH Models," Journal of Financial Econometrics, Oxford University Press, vol. 9(4), pages 619-656.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2009. "Merits and drawbacks of variance targeting in GARCH models," MPRA Paper 15143, University Library of Munich, Germany.
Cited by:
- Rasmus Søndergaard Pedersen & Anders Rahbek, 2012.
"Multivariate Variance Targeting in the BEKK-GARCH Model,"
Discussion Papers
12-23, University of Copenhagen. Department of Economics.
- Rasmus S. Pedersen & Anders Rahbek, 2014. "Multivariate variance targeting in the BEKK–GARCH model," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 24-55, February.
- Rasmus Søndergaard Pedersen & Anders Rahbek, 2012. "Multivariate Variance Targeting in the BEKK-GARCH Model," CREATES Research Papers 2012-53, Department of Economics and Business Economics, Aarhus University.
- Thieu, Le Quyen, 2016. "Variance targeting estimation of the BEKK-X model," MPRA Paper 75572, University Library of Munich, Germany.
- Bauwens, Luc & Braione, Manuela & Storti, Giuseppe, 2017.
"A dynamic component model for forecasting high-dimensional realized covariance matrices,"
Econometrics and Statistics, Elsevier, vol. 1(C), pages 40-61.
- Luc Bauwens & Manuela Braione & Giuseppe Storti, 2020. "A Dynamic Component Model for Forecasting High-Dimensional Realized Covariances Matrices," Working Papers 3_234, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno, revised Jul 2020.
- Luc BAUWENS, Manuela BRAIONE and Giuseppe STORTI & Luc BAUWENS, Manuela BRAIONE and Giuseppe STORTI & Luc BAUWENS, Manuela BRAIONE and Giuseppe STORTI, 2017. "A dynamic component model for forecasting high-dimensional realized covariance matrices," LIDAM Reprints CORE 2812, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BAUWENS, Luc & BRAIONE, Manuela & STORTI, Giuseppe, 2016. "A dynamic component model for forecasting high-dimensional realized covariance matrices," LIDAM Discussion Papers CORE 2016001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Rasmus Søndergaard Pedersen, 2014.
"Targeting estimation of CCC-Garch models with infinite fourth moments,"
Discussion Papers
14-04, University of Copenhagen. Department of Economics.
- Pedersen, Rasmus Søndergaard, 2016. "Targeting Estimation Of Ccc-Garch Models With Infinite Fourth Moments," Econometric Theory, Cambridge University Press, vol. 32(2), pages 498-531, April.
- Luis García-Álvarez & Richard Luger, 2011. "Dynamic Correlations, Estimation Risk, and Porfolio Management During the Financial Crisis," Working Papers wp2011_1103, CEMFI, revised Sep 2011.
- Nicklas Werge & Olivier Wintenberger, 2022.
"AdaVol: An Adaptive Recursive Volatility Prediction Method,"
Post-Print
hal-02733439, HAL.
- Werge, Nicklas & Wintenberger, Olivier, 2022. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Econometrics and Statistics, Elsevier, vol. 23(C), pages 19-35.
- Nicklas Werge & Olivier Wintenberger, 2020. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Papers 2006.02077, arXiv.org, revised Jan 2021.
- Boudt, Kris & Daníelsson, Jón & Laurent, Sébastien, 2013. "Robust forecasting of dynamic conditional correlation GARCH models," International Journal of Forecasting, Elsevier, vol. 29(2), pages 244-257.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016.
"Variance Targeting Estimation of Multivariate GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
- Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016.
"Copula--based Specification of vector MEMs,"
Econometrics Working Papers Archive
2016_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016. "Copula--based Specification of vector MEMs," Papers 1604.01338, arXiv.org.
- Hotta, Luiz & Trucíos, Carlos, 2015. "Robust bootstrap forecast densities for GARCH models: returns, volatilities and value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws1523, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Todd, Prono, 2009. "Simple, Skewness-Based GMM Estimation of the Semi-Strong GARCH(1,1) Model," MPRA Paper 30994, University Library of Munich, Germany, revised 30 Jul 2011.
- Jiayuan Zhou & Feiyu Jiang & Ke Zhu & Wai Keung Li, 2019. "Time series models for realized covariance matrices based on the matrix-F distribution," Papers 1903.12077, arXiv.org, revised Jul 2020.
- LAURENT, Sébastien & ROMBOUTS, Jeroen V. K. & VIOLANTE, Francesco, 2010.
"On the forecasting accuracy of multivariate GARCH models,"
LIDAM Discussion Papers CORE
2010025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Sébastien Laurent & Jeroen V.K. Rombouts & Francesco Violante, 2010. "On the Forecasting Accuracy of Multivariate GARCH Models," Cahiers de recherche 1021, CIRPEE.
- Sébastien Laurent & Jeroen V. K. Rombouts & Francesco Violante, 2012. "On the forecasting accuracy of multivariate GARCH models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 934-955, September.
- Hafner, Christian & Linton, Oliver, 2017.
"An Almost Closed Form Estimator For The EGARCH Model,"
LIDAM Reprints ISBA
2017040, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Christian M. HAFNER & Oliver LINTON, 2017. "An almost closed form estimator for the EGARCH model," LIDAM Reprints CORE 2881, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, C. & Linton, O., 2016. "An Almost Closed Form Estimator for the EGARCH model," LIDAM Discussion Papers ISBA 2016036, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian M. & Linton, Oliver, 2017. "An Almost Closed Form Estimator For The Egarch Model," Econometric Theory, Cambridge University Press, vol. 33(4), pages 1013-1038, August.
- HAFNER, Christian & LINTON, Oliver, 2013. "An almost closed form estimator for the EGARCH model," LIDAM Discussion Papers CORE 2013022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian M. & Reznikova, Olga, 2012.
"On the estimation of dynamic conditional correlation models,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3533-3545.
- Hafner, Christian & Reznikova, O., 2012. "On the estimation of dynamic conditional correlation models," LIDAM Reprints ISBA 2012021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, C. & Reznikova, O., 2010. "On the estimation of dynamic conditional correlation models," LIDAM Discussion Papers ISBA 2010006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Qi Li & Fukang Zhu, 2020. "Mean targeting estimator for the integer-valued GARCH(1, 1) model," Statistical Papers, Springer, vol. 61(2), pages 659-679, April.
- de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018.
"MGARCH models: Trade-off between feasibility and flexibility,"
International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
- Almeida, Daniel de & Hotta, Luiz, 2015. "MGARCH models: tradeoff between feasibility and flexibility," DES - Working Papers. Statistics and Econometrics. WS ws1516, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Stanislav Khrapov, 2011.
"Pricing Central Tendency in Volatility,"
Working Papers
w0168, Center for Economic and Financial Research (CEFIR).
- Stanislav Khrapov, 2011. "Pricing Central Tendency in Volatility," Working Papers w0168, New Economic School (NES).
- Guo, Zi-Yi, 2017. "Empirical Performance of GARCH Models with Heavy-tailed Innovations," EconStor Preprints 167626, ZBW - Leibniz Information Centre for Economics.
- Manabu Asai & Chia-Lin Chang & Michael McAleer & Laurent Pauwels, 2018.
"Asymptotic Theory for Rotated Multivariate GARCH Models,"
Documentos de Trabajo del ICAE
2018-27, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Asai, Manabu & Chang, Chia-Lin & McAleer, Michael & Pauwels, Laurent, 2019. "Asymptotic Theory for Rotated Multivariate GARCH Models," Working Papers BAWP-2019-03, University of Sydney Business School, Discipline of Business Analytics.
- Asai, M. & Chang, C-L. & McAleer, M.J. & Pauwels, L., 2018. "Asymptotic Theory for Rotated Multivariate GARCH Models," Econometric Institute Research Papers EI2018-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Gian Piero Aielli & Massimiliano Caporin, 2015. "Dynamic Principal Components: a New Class of Multivariate GARCH Models," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
- Esben Hedegaard & Robert J. Hodrick, 2014.
"Estimating the Risk-Return Trade-off with Overlapping Data Inference,"
NBER Working Papers
19969, National Bureau of Economic Research, Inc.
- Hedegaard, Esben & Hodrick, Robert J., 2016. "Estimating the risk-return trade-off with overlapping data inference," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 135-145.
- Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2019. "On the asymmetric impact of macro–variables on volatility," Economic Modelling, Elsevier, vol. 76(C), pages 135-152.
- Anatolyev Stanislav, 2019. "Volatility filtering in estimation of kurtosis (and variance)," Dependence Modeling, De Gruyter, vol. 7(1), pages 1-23, February.
- Feiyu Jiang & Dong Li & Ke Zhu, 2019. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Papers 1907.04147, arXiv.org, revised Oct 2020.
- Carlo Campajola & Domenico Di Gangi & Fabrizio Lillo & Daniele Tantari, 2020. "Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising Model," Papers 2007.15545, arXiv.org, revised Aug 2021.
- Todd Prono, 2016. "Closed-Form Estimation of Finite-Order ARCH Models: Asymptotic Theory and Finite-Sample Performance," Finance and Economics Discussion Series 2016-083, Board of Governors of the Federal Reserve System (U.S.).
- Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020. "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, vol. 91(C).
- Fabrizio Cipollini & Giampiero M. Gallo, 2018.
"Modeling Euro STOXX 50 Volatility with Common and Market–specific Components,"
Working Paper series
18-26, Rimini Centre for Economic Analysis.
- Cipollini, Fabrizio & Gallo, Giampiero M., 2019. "Modeling Euro STOXX 50 volatility with common and market-specific components," Econometrics and Statistics, Elsevier, vol. 11(C), pages 22-42.
- Francq, Christian & Sucarrat, Genaro, 2013.
"An Exponential Chi-Squared QMLE for Log-GARCH Models Via the ARMA Representation,"
MPRA Paper
51783, University Library of Munich, Germany.
- Christian Francq & Genaro Sucarrat, 2018. "An Exponential Chi-Squared QMLE for Log-GARCH Models Via the ARMA Representation," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 129-154.
- Asai Manabu & So Mike K. P., 2023. "Realized BEKK-CAW Models," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 49-77, January.
- BAUWENS, Luc & BRAIONE, Manuela & STORTI, Giuseppe, 2016. "Multiplicative Conditional Correlation Models for Realized Covariance Matrices," LIDAM Discussion Papers CORE 2016041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2017.
"Copula–Based vMEM Specifications versus Alternatives: The Case of Trading Activity,"
Econometrics, MDPI, vol. 5(2), pages 1-24, April.
- Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2017. "Copula-based vMEM Specifications versus Alternatives: The Case of Trading Activity," Econometrics Working Papers Archive 2017_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Christian T. Brownlees & Fabrizio Cipollini & Giampiero M. Gallo, 2011. "Multiplicative Error Models," Econometrics Working Papers Archive 2011_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Apr 2011.
- Hafner C. & Linton, O., 2013. "An Almost Closed Form Estimator for the EGARCH," LIDAM Discussion Papers ISBA 2013010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Todd, Prono, 2010. "Simple GMM Estimation of the Semi-Strong GARCH(1,1) Model," MPRA Paper 20034, University Library of Munich, Germany.
- Aue, Alexander & Horvath, Lajos & Pellatt, Daniel, 2015.
"Functional generalized autoregressive conditional heteroskedasticity,"
MPRA Paper
67702, University Library of Munich, Germany.
- Alexander Aue & Lajos Horváth & Daniel F. Pellatt, 2017. "Functional Generalized Autoregressive Conditional Heteroskedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 3-21, January.
- Braione, Manuela & Scholtes, Nicolas K., 2014. "Construction of value-at-risk forecasts under different distributional assumptions within a BEKK framework," LIDAM Discussion Papers CORE 2014059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Stanislav Anatolyev & Stanislav Khrapov, 2015. "Right on Target, or Is it? The Role of Distributional Shape in Variance Targeting," Econometrics, MDPI, vol. 3(3), pages 1-23, August.
- Dhaene, Geert & Wu, Jianbin, 2020. "Incorporating overnight and intraday returns into multivariate GARCH volatility models," Journal of Econometrics, Elsevier, vol. 217(2), pages 471-495.
- Aielli, Gian Piero & Caporin, Massimiliano, 2013. "Fast clustering of GARCH processes via Gaussian mixture models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 205-222.
- Celso Brunetti & David Reiffen, 2011.
"Commodity index trading and hedging costs,"
Finance and Economics Discussion Series
2011-57, Board of Governors of the Federal Reserve System (U.S.).
- Brunetti, Celso & Reiffen, David, 2014. "Commodity index trading and hedging costs," Journal of Financial Markets, Elsevier, vol. 21(C), pages 153-180.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2021. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, vol. 224(2), pages 306-329.
- Joseph de Vilmarest & Nicklas Werge, 2023. "An adaptive volatility method for probabilistic forecasting and its application to the M6 financial forecasting competition," Papers 2303.01855, arXiv.org, revised Jun 2024.
- Asai, Manabu, 2023. "Feasible Panel GARCH Models: Variance-Targeting Estimation and Empirical Application," Econometrics and Statistics, Elsevier, vol. 25(C), pages 23-38.
- Semeyutin, Artur & O’Neill, Robert, 2019. "A brief survey on the choice of parameters for: “Kernel density estimation for time series data”," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
- Francq, Christian & Zakoian, Jean-Michel, 2009.
"Bartlett's formula for a general class of non linear processes,"
MPRA Paper
13224, University Library of Munich, Germany.
- Christian Francq & Jean‐Michel Zakoïan, 2009. "Bartlett's formula for a general class of nonlinear processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 449-465, July.
Cited by:
- Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013.
"Econometric modeling of exchange rate volatility and jumps,"
Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427,
Edward Elgar Publishing.
- Deniz Erdemlioglu & Sebastien Laurent & Christopher J. Neely, 2012. "Econometric modeling of exchange rate volatility and jumps," Working Papers 2012-008, Federal Reserve Bank of St. Louis.
- Susana Martins & Cristina Amado, 2018. "Financial Market Contagion and the Sovereign Debt Crisis: A Smooth Transition Approach," NIPE Working Papers 08/2018, NIPE - Universidade do Minho.
- Violetta Dalla & Liudas Giraitis & Peter C. B. Phillips, 2020.
"Robust Tests for White Noise and Cross-Correlation,"
Working Papers
906, Queen Mary University of London, School of Economics and Finance.
- Violetta Dalla & Liudas Giraitis & Peter C.B. Phillips, 2019. "Robust Tests for White Noise and Cross-Correlation," Cowles Foundation Discussion Papers 2194, Cowles Foundation for Research in Economics, Yale University.
- Dalla, Violetta & Giraitis, Liudas & Phillips, Peter C. B., 2022. "Robust Tests For White Noise And Cross-Correlation," Econometric Theory, Cambridge University Press, vol. 38(5), pages 913-941, October.
- Violetta Dalla & Liudas Giraitis & Peter C.B. Phillips, 2019. "Robust Tests for White Noise and Cross-Correlation," Cowles Foundation Discussion Papers 2194, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
- Carlos Trucíos & James W. Taylor, 2023. "A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 989-1007, July.
- Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
- Bauwens, L. & Hafner C. & Laurent, S., 2011.
"Volatility Models,"
LIDAM Discussion Papers ISBA
2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Su, Nan & Lund, Robert, 2012. "Multivariate versions of Bartlett’s formula," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 18-31.
- Christian Francq & Roch Roy & Abdessamad Saidi, 2011.
"Asymptotic Properties of Weighted Least Squares Estimation in Weak PARMA Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 32(6), pages 699-723, November.
- Francq, Christian & Roy, Roch & Saidi, Abdessamad, 2011. "Asymptotic properties of weighted least squares estimation in weak parma models," MPRA Paper 28721, University Library of Munich, Germany.
- ALAMI CHENTOUFI, Reda, 2024. "Penalized Convex Estimation in Dynamic Location-Scale models," MPRA Paper 123283, University Library of Munich, Germany.
- Trucíos, Carlos, 2019. "Forecasting Bitcoin risk measures: A robust approach," International Journal of Forecasting, Elsevier, vol. 35(3), pages 836-847.
- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
- Proietti, Tommaso & Luati, Alessandra, 2015.
"The generalised autocovariance function,"
Journal of Econometrics, Elsevier, vol. 186(1), pages 245-257.
- Tommaso Proietti & Alessandra Luati, 2013. "The Generalised Autocovariance Function," CEIS Research Paper 276, Tor Vergata University, CEIS, revised 30 Apr 2013.
- Tommaso, Proietti & Alessandra, Luati, 2012. "The Generalised Autocovariance Function," MPRA Paper 43711, University Library of Munich, Germany.
- Campos-Martins, Susana & Amado, Cristina, 2022. "Financial market linkages and the sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 123(C).
- Regnard, Nazim & Zakoian, Jean-Michel, 2010.
"A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices,"
MPRA Paper
22642, University Library of Munich, Germany.
- Regnard, Nazim & Zakoïan, Jean-Michel, 2011. "A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1240-1251.
- Pierluigi Vallarino, 2024. "Dynamic kernel models," Tinbergen Institute Discussion Papers 24-082/III, Tinbergen Institute.
- Daniel Cirkovic & Thomas J. Fisher, 2021. "On testing for the equality of autocovariance in time series," Environmetrics, John Wiley & Sons, Ltd., vol. 32(7), November.
- Christian Francq & Jean-Michel Zakoïan, 2008.
"Estimating ARCH Models when the Coefficients are Allowed to be Equal to Zero,"
Working Papers
2008-07, Center for Research in Economics and Statistics.
Cited by:
- Aknouche, Abdelhakim & Francq, Christian, 2023.
"Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Aknouche, Abdelhakim & Francq, Christian, 2019. "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," MPRA Paper 97382, University Library of Munich, Germany.
- Lionel Truquet, 2017. "Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1391-1414, November.
- Aknouche, Abdelhakim & Francq, Christian, 2023.
"Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Christian Francq & Jean-Michel Zakoïan, 2008.
"Can One Really Estimate Nonstationary GARCH Models ?,"
Working Papers
2008-06, Center for Research in Economics and Statistics.
Cited by:
- Christian M. HAFNER & Arie PREMINGER, 2015.
"An ARCH Model Without Intercept,"
LIDAM Reprints CORE
2770, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian & Preminger, Arie, 2015. "An ARCH model without intercept," LIDAM Reprints ISBA 2015039, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian M. & Preminger, Arie, 2015. "An ARCH model without intercept," Economics Letters, Elsevier, vol. 129(C), pages 13-17.
- Christian M. HAFNER & Arie PREMINGER, 2015.
"An ARCH Model Without Intercept,"
LIDAM Reprints CORE
2770, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Christian Francq & Jean-Michel Zakoïan, 2008.
"Barlett’s Formula for Non Linear Processes,"
Working Papers
2008-05, Center for Research in Economics and Statistics.
Cited by:
- Christian Francq & Roch Roy & Abdessamad Saidi, 2011.
"Asymptotic Properties of Weighted Least Squares Estimation in Weak PARMA Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 32(6), pages 699-723, November.
- Francq, Christian & Roy, Roch & Saidi, Abdessamad, 2011. "Asymptotic properties of weighted least squares estimation in weak parma models," MPRA Paper 28721, University Library of Munich, Germany.
- Christian Francq & Jean‐Michel Zakoïan, 2009.
"Bartlett's formula for a general class of nonlinear processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 449-465, July.
- Francq, Christian & Zakoian, Jean-Michel, 2009. "Bartlett's formula for a general class of non linear processes," MPRA Paper 13224, University Library of Munich, Germany.
- Christian Francq & Roch Roy & Abdessamad Saidi, 2011.
"Asymptotic Properties of Weighted Least Squares Estimation in Weak PARMA Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 32(6), pages 699-723, November.
- Christian Francq & Jean-Michel Zakoïan, 2008.
"Testing the Nullity of GARCH Coefficients : Correction of the Standard Tests and Relative Efficiency Comparisons,"
Working Papers
2008-04, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoïan, Jean-Michel, 2009. "Testing the Nullity of GARCH Coefficients: Correction of the Standard Tests and Relative Efficiency Comparisons," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 313-324.
- Francq, Christian & Zakoian, Jean-Michel, 2008. "Testing the nullity of GARCH coefficients : correction of the standard tests and relative efficiency comparisons," MPRA Paper 16672, University Library of Munich, Germany.
Cited by:
- Rasmus Soendergaard Pedersen & Anders Rahbek, 2017.
"Testing Garch-X Type Models,"
Discussion Papers
17-15, University of Copenhagen. Department of Economics.
- Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2019. "Testing Garch-X Type Models," Econometric Theory, Cambridge University Press, vol. 35(5), pages 1012-1047, October.
- Hiroyuki Kawakatsu, 2019. "Jointly Modeling Autoregressive Conditional Mean and Variance of Non-Negative Valued Time Series," Econometrics, MDPI, vol. 7(4), pages 1-19, December.
- Xuanling Yang & Dong Li, 2022. "Estimation of the empirical risk‐return relation: A generalized‐risk‐in‐mean model," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(6), pages 938-963, November.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016.
"Variance Targeting Estimation of Multivariate GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
- Ding, Yashuang (Dexter), 2023. "A simple joint model for returns, volatility and volatility of volatility," Journal of Econometrics, Elsevier, vol. 232(2), pages 521-543.
- Ekaterina Smetanina, 2017. "Real-Time GARCH," Journal of Financial Econometrics, Oxford University Press, vol. 15(4), pages 561-601.
- Timo Dimitriadis & iaochun Liu & Julie Schnaitmann, 2023.
"Encompassing Tests for Value at Risk and Expected Shortfall Multistep Forecasts Based on Inference on the Boundary,"
Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 412-444.
- Dimitriadis, Timo & Liu, Xiaochun & Schnaitmann, Julie, 2020. "Encompassing tests for value at risk and expected shortfall multi-step forecasts based on inference on the boundary," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
- Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
- Nielsen, Heino Bohn & Rahbek, Anders, 2014.
"Unit root vector autoregression with volatility induced stationarity,"
Journal of Empirical Finance, Elsevier, vol. 29(C), pages 144-167.
- Anders Rahbek & Heino Bohn Nielsen, 2012. "Unit Root Vector Autoregression with volatility Induced Stationarity," CREATES Research Papers 2012-29, Department of Economics and Business Economics, Aarhus University.
- Anders Rahbek & Heino Bohn Nielsen, 2012. "Unit root vector autoregression with volatility induced stationarity," Discussion Papers 12-02, University of Copenhagen. Department of Economics.
- Feiyu Jiang & Dong Li & Ke Zhu, 2019. "Non-standard inference for augmented double autoregressive models with null volatility coefficients," Papers 1905.01798, arXiv.org.
- Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
- Royer, Julien, 2023. "Conditional asymmetry in Power ARCH(∞) models," Journal of Econometrics, Elsevier, vol. 234(1), pages 178-204.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2020. "Non-standard inference for augmented double autoregressive models with null volatility coefficients," Journal of Econometrics, Elsevier, vol. 215(1), pages 165-183.
- Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
- Cavaliere, Giuseppe & Nielsen, Heino Bohn & Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2022.
"Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 241-263.
- Giuseppe Cavaliere & Heino Bohn Nielsen & Rasmus Søndergaard Pedersen & Anders Rahbek, 2018. "Bootstrap Inference On The Boundary Of The Parameter Space With Application To Conditional Volatility Models," Discussion Papers 18-10, University of Copenhagen. Department of Economics.
- Ali Ahmad & Christian Francq, 2015.
"Poisson QMLE of Count Time Series Models,"
Post-Print
hal-01533548, HAL.
- Ali Ahmad & Christian Francq, 2016. "Poisson QMLE of Count Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 291-314, May.
- Ahmad, Ali & Francq, Christian, 2014. "Poisson qmle of count time series models," MPRA Paper 59804, University Library of Munich, Germany.
- Mengya Liu & Fukang Zhu & Ke Zhu, 2022. "Modeling normalcy‐dominant ordinal time series: An application to air quality level," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 460-478, May.
- Feiyu Jiang & Dong Li & Ke Zhu, 2019. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Papers 1907.04147, arXiv.org, revised Oct 2020.
- Agosto, Arianna & Cavaliere, Giuseppe & Kristensen, Dennis & Rahbek, Anders, 2016.
"Modeling corporate defaults: Poisson autoregressions with exogenous covariates (PARX),"
Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 640-663.
- Arianna Agosto & Giuseppe Cavaliere & Dennis Kristensen & Anders Rahbek, 2015. "Modeling corporate defaults: Poisson autoregressions with exogenous covariates (PARX)," CREATES Research Papers 2015-11, Department of Economics and Business Economics, Aarhus University.
- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
- Ding, Y., 2021. "Augmented Real-Time GARCH: A Joint Model for Returns, Volatility and Volatility of Volatility," Cambridge Working Papers in Economics 2112, Faculty of Economics, University of Cambridge.
- Royer, Julien, 2021. "Conditional asymmetry in Power ARCH($\infty$) models," MPRA Paper 109118, University Library of Munich, Germany.
- Philipp Ketz, 2018.
"Subvector inference when the true parameter vector may be near or at the boundary,"
PSE-Ecole d'économie de Paris (Postprint)
halshs-01884381, HAL.
- Ketz, Philipp, 2018. "Subvector inference when the true parameter vector may be near or at the boundary," Journal of Econometrics, Elsevier, vol. 207(2), pages 285-306.
- Philipp Ketz, 2018. "Subvector inference when the true parameter vector may be near or at the boundary," Post-Print halshs-01884381, HAL.
- Gregory Fletcher Cox, 2024. "A Simple and Adaptive Confidence Interval when Nuisance Parameters Satisfy an Inequality," Papers 2409.09962, arXiv.org.
- Ben, Youhong & Jiang, Feiyu, 2020. "A note on Portmanteau tests for conditional heteroscedastistic models," Economics Letters, Elsevier, vol. 192(C).
- Conrad, Christian & Schienle, Melanie, 2019.
"Testing for an omitted multiplicative long-term component in GARCH models,"
Working Paper Series in Economics
121, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- Christian Conrad & Melanie Schienle, 2020. "Testing for an Omitted Multiplicative Long-Term Component in GARCH Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 229-242, April.
- El Ghini, Ahmed & Saidi, Youssef, 2014.
"Return and Volatility Spillovers in the Moroccan Stock Market During The Financial Crisis,"
MPRA Paper
53439, University Library of Munich, Germany.
- Ahmed El Ghini & Youssef Saidi, 2017. "Return and volatility spillovers in the Moroccan stock market during the financial crisis," Empirical Economics, Springer, vol. 52(4), pages 1481-1504, June.
- Rasmus Søndergaard Pedersen, 2015.
"Inference and testing on the boundary in extended constant conditional correlation GARCH models,"
Discussion Papers
15-10, University of Copenhagen. Department of Economics.
- Pedersen, Rasmus Søndergaard, 2017. "Inference and testing on the boundary in extended constant conditional correlation GARCH models," Journal of Econometrics, Elsevier, vol. 196(1), pages 23-36.
- Francq, Christian & Thieu, Le Quyen, 2015.
"Qml inference for volatility models with covariates,"
MPRA Paper
63198, University Library of Munich, Germany.
- Francq, Christian & Thieu, Le Quyen, 2019. "Qml Inference For Volatility Models With Covariates," Econometric Theory, Cambridge University Press, vol. 35(1), pages 37-72, February.
- Christian Francq & Baye Matar Kandji & Jean-Michel Zakoian, 2022. "Inference on Multiplicative Component GARCH without any Small-Order Moment," Working Papers 2022-09, Center for Research in Economics and Statistics.
- Abdelouahab Bibi, 2021. "Asymptotic properties of QMLE for seasonal threshold GARCH model with periodic coefficients," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 477-514, June.
- Hetland, Simon & Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2023. "Dynamic conditional eigenvalue GARCH," Journal of Econometrics, Elsevier, vol. 237(2).
- Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2021. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, vol. 224(2), pages 306-329.
- Saidi, Youssef & Zakoian, Jean-Michel, 2006.
"Stationarity and geometric ergodicity of a class of nonlinear ARCH models,"
MPRA Paper
61988, University Library of Munich, Germany, revised 2006.
Cited by:
- Blasques, Francisco & Nientker, Marc, 2023. "Stochastic properties of nonlinear locally-nonstationary filters," Journal of Econometrics, Elsevier, vol. 235(2), pages 2082-2095.
- Francisco (F.) Blasques & Marc Nientker, 2019. "Transformed Perturbation Solutions for Dynamic Stochastic General Equilibrium Models," Tinbergen Institute Discussion Papers 19-012/III, Tinbergen Institute, revised 09 Feb 2020.
- Francisco (F.) Blasques & Marc Nientker, 2017. "A Stochastic Recurrence Equation Approach to Stationarity and phi-Mixing of a Class of Nonlinear ARCH Models," Tinbergen Institute Discussion Papers 17-072/III, Tinbergen Institute.
- Christian Francq & Jean-Michel Zakoïan, 2006.
"Inference in GARCH when some coefficients are equal to zero,"
Computing in Economics and Finance 2006
64, Society for Computational Economics.
Cited by:
- HAFNER, Christian & PREMINGER, Arie, 2006.
"Asymptotic theory for a factor GARCH model,"
LIDAM Discussion Papers CORE
2006071, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian M. & Preminger, Arie, 2009. "Asymptotic Theory For A Factor Garch Model," Econometric Theory, Cambridge University Press, vol. 25(2), pages 336-363, April.
- Hafner, Christian M. & Preminger, Arie, 2009. "On asymptotic theory for multivariate GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2044-2054, October.
- Christian Gourieroux & Joann Jasiak, 2006. "A Degeneracy in the Analysis of Volatility and Covolatility Effects," Working Papers 2006-30, Center for Research in Economics and Statistics.
- HAFNER, Christian & PREMINGER, Arie, 2006.
"Asymptotic theory for a factor GARCH model,"
LIDAM Discussion Papers CORE
2006071, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BROZE, Laurence & FRANCQ, Christian & ZAKOIAN, Jean-Michel, 2002.
"Efficient use of higher-lag autocorrelations for estimating autoregressive processes,"
LIDAM Reprints CORE
1580, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Laurence Broze & Christian Francq & Jean‐Michel Zakoïan, 2002. "Efficient use of higher‐lag autocorrelations for estimating autoregressive processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(3), pages 287-312, May.
Cited by:
- Ali Alami & Eric Renault, 2001. "Risque de modèle de volatilité," CIRANO Working Papers 2001s-06, CIRANO.
- Christian Francq & Jean-Michel Zakoïan, 2000.
"Estimating Stochastic Volatility Models : A New Approach Based on ARMA Representations,"
Working Papers
2000-47, Center for Research in Economics and Statistics.
Cited by:
- Elena Andreou & Eric Ghysels, 2002.
"Detecting multiple breaks in financial market volatility dynamics,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 579-600.
- Elena Andreou & Eric Ghysels, 2001. "Detecting Mutiple Breaks in Financial Market Volatility Dynamics," CIRANO Working Papers 2001s-65, CIRANO.
- Elena Andreou & Eric Ghysels, 2001. "Detecting Multiple Breaks in Financial Market Volatility Dynamics," University of Cyprus Working Papers in Economics 0202, University of Cyprus Department of Economics.
- Elena Andreou & Eric Ghysels, 2002.
"Detecting multiple breaks in financial market volatility dynamics,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 579-600.
- Christian Francq & Jean-Michel Zakoïan, 2000.
"Stationarity of Multivariate Markov-Switching ARMA Models,"
Working Papers
2000-32, Center for Research in Economics and Statistics.
- Francq, C. & Zakoian, J. -M., 2001. "Stationarity of multivariate Markov-switching ARMA models," Journal of Econometrics, Elsevier, vol. 102(2), pages 339-364, June.
Cited by:
- fabio spagnolod & Zacharias Psaradakis & Martin Sola, 2003.
"Testing the Unbiased Forward Exchange Rate Hypothesis Using a Markov Switching Model and Instrumental Variables,"
Economics and Finance Discussion Papers
03-15, Economics and Finance Section, School of Social Sciences, Brunel University.
- Fabio Spagnolo & Zacharias Psaradakis & Martin Sola, 2005. "Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 423-437, March.
- fabio spagnolod & Zacharias Psaradakis & Martin Sola, 2003. "Testing the Unbiased Forward Exchange Rate Hypothesis Using a Markov Switching Model and Instrumental Variables," Public Policy Discussion Papers 03-15, Economics and Finance Section, School of Social Sciences, Brunel University.
- Martin Sola & Zacharias Psaradakis & Fabio Spagnolo, 2005. "Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 423-437.
- Bildirici, Melike E. & Sonustun, Bahri, 2021. "Chaotic behavior in gold, silver, copper and bitcoin prices," Resources Policy, Elsevier, vol. 74(C).
- Ekaterini Panopoulou & B. Groom & P. Koundouri & Theologos Pantelidis, 2005.
"Discounting the distant future: How much does model selection affect the certainty equivalent rate?,"
Economics Department Working Paper Series
n1480105, Department of Economics, National University of Ireland - Maynooth.
- Phoebe Koundouri & Theologos Pantelidis & Ben Groom & Ekaterini Panopoulou, 2007. "Discounting the distant future: How much does model selection affect the certainty equivalent rate?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 641-656.
- Cho, Seonghoon, 2021. "Determinacy and classification of Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
- Carrasco, Marine, 2002. "Misspecified Structural Change, Threshold, and Markov-switching models," Journal of Econometrics, Elsevier, vol. 109(2), pages 239-273, August.
- Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
- Mélard, Guy, 2022. "An indirect proof for the asymptotic properties of VARMA model estimators," Econometrics and Statistics, Elsevier, vol. 21(C), pages 96-111.
- Dominique Guegan, 2005.
"How can we Define the Concept of Long Memory? An Econometric Survey,"
Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 113-149.
- Dominique Guegan, 2005. "How can we define the concept of long memory ? An econometric survey," Post-Print halshs-00179343, HAL.
- Steven P. Cassou & Hedieh Shadmani & Jesús Vázquez, 2017. "Fiscal policy asymmetries and the sustainability of US government debt revisited," Empirical Economics, Springer, vol. 53(3), pages 1193-1215, November.
- Arata Ito & Tsutomu Watanabe & Tomoyoshi Yabu, 2010.
"Fiscal Policy Switching in Japan, the US, and the UK,"
NBER Chapters, in: Fiscal Policy and Crisis,
National Bureau of Economic Research, Inc.
- Ito, Arata & Watanabe, Tsutomu & Yabu, Tomoyoshi, 2011. "Fiscal policy switching in Japan, the US, and the UK," Journal of the Japanese and International Economies, Elsevier, vol. 25(4), pages 380-413.
- Paul Doukhan & Konstantinos Fokianos & Joseph Rynkiewicz, 2021. "Mixtures of Nonlinear Poisson Autoregressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 107-135, January.
- Massimo Guidolin, 2011.
"Markov Switching Models in Empirical Finance,"
Working Papers
415, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Massimo Guidolin, 2011. "Markov Switching Models in Empirical Finance," Advances in Econometrics, in: Missing Data Methods: Time-Series Methods and Applications, pages 1-86, Emerald Group Publishing Limited.
- Cavicchioli, Maddalena, 2023. "Impulse response function analysis for Markov switching var models," Economics Letters, Elsevier, vol. 232(C).
- Maddalena Cavicchioli, 2016. "Statistical Analysis Of Mixture Vector Autoregressive Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(4), pages 1192-1213, December.
- Chang, Kuang-Liang & Chen, Nan-Kuang & Leung, Charles Ka Yui, 2009.
"Monetary Policy, Term Structure and Asset Return: Comparing REIT, Housing and Stock,"
MPRA Paper
23514, University Library of Munich, Germany.
- Kuang-Liang Chang & Nan-Kuang Chen & Charles Leung, 2011. "Monetary Policy, Term Structure and Asset Return: Comparing REIT, Housing and Stock," The Journal of Real Estate Finance and Economics, Springer, vol. 43(1), pages 221-257, July.
- K. Triantafyllopoulos & G. Montana, 2011.
"Dynamic modeling of mean-reverting spreads for statistical arbitrage,"
Computational Management Science, Springer, vol. 8(1), pages 23-49, April.
- Kostas Triantafyllopoulos & Giovanni Montana, 2008. "Dynamic modeling of mean-reverting spreads for statistical arbitrage," Papers 0808.1710, arXiv.org, revised May 2009.
- Maddalena Cavicchioli, 2015. "Likelihood Ratio Test and Information Criteria for Markov Switching Var Models: An Application to the Italian Macroeconomy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(3), pages 315-332, November.
- Beatrice PATARACCHIA, 2008.
"Design-Limits in Regime-Switching cases,"
EcoMod2008
23800104, EcoMod.
- Beatrice Pataracchia, 2008. "Design Limits in Regime-Switching Cases," Department of Economics University of Siena 529, Department of Economics, University of Siena.
- Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
- Hujer, Reinhard & Vuletic, Sandra, 2007. "Econometric analysis of financial trade processes by discrete mixture duration models," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 635-667, February.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011.
"Combination Schemes for Turning Point Predictions,"
Tinbergen Institute Discussion Papers
11-123/4, Tinbergen Institute.
- Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco & van Dijk, Herman K., 2012. "Combination schemes for turning point predictions," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 402-412.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Combination schemes for turning point predictions," Working Papers 2012_15, Department of Economics, University of Venice "Ca' Foscari".
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Combination schemes for turning point predictions," Working Paper 2012/04, Norges Bank.
- Cyril Caillault & Dominique Guegan, 2009.
"Forecasting VaR and Expected Shortfall using Dynamical Systems: A Risk Management Strategy,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
halshs-00375765, HAL.
- Cyril Caillault, Dominique Guégan, 2009. "Forecasting VaR and Expected Shortfall Using Dynamical Systems: A Risk Management Strategy," Frontiers in Finance and Economics, SKEMA Business School, vol. 6(1), pages 26-50, April.
- Hendrik Kaufmann & Florian Heinen & Philipp Sibbertsen, 2014.
"The Dynamics Of Real Exchange Rates: A Reconsideration,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 758-773, August.
- Heinen, Florian & Kaufmann, Hendrik & Sibbertsen, Philipp, 2011. "The dynamics of real exchange rates - A reconsideration," Hannover Economic Papers (HEP) dp-463, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Takeuchi, Fumihide, 2010. "US external debt sustainability revisited: Bayesian analysis of extended Markov switching unit root test," Japan and the World Economy, Elsevier, vol. 22(2), pages 98-106, March.
- Szabolcs Blazsek & Anna Downarowicz, 2013. "Forecasting hedge fund volatility: a Markov regime-switching approach," The European Journal of Finance, Taylor & Francis Journals, vol. 19(4), pages 243-275, April.
- Abdelhakim Aknouche & Christian Francq, 2022.
"Stationarity and ergodicity of Markov switching positive conditional mean models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 436-459, May.
- Aknouche, Abdelhakim & Francq, Christian, 2020. "Stationarity and ergodicity of Markov switching positive conditional mean models," MPRA Paper 102503, University Library of Munich, Germany.
- Aye, Goodness C. & Chang, Tsangyao & Gupta, Rangan, 2016.
"Is gold an inflation-hedge? Evidence from an interrupted Markov-switching cointegration model,"
Resources Policy, Elsevier, vol. 48(C), pages 77-84.
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Econometric Institute Research Papers
EI 2004-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1437-1450.
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MPRA Paper
27685, University Library of Munich, Germany.
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Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
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CREATES Research Papers
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"Value-at-Risk for long and short trading positions,"
LIDAM Reprints CORE
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"Multivariate GARCH models: a survey,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
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Documentos de Trabajo del ICAE
2019-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Laura Garcia‐Jorcano & Alfonso Novales, 2021. "Volatility specifications versus probability distributions in VaR forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 189-212, March.
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"Quadratic M-Estimators for ARCH-Type Processes,"
Cahiers de recherche
9814, Universite de Montreal, Departement de sciences economiques.
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"Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models,"
Economics Series Working Papers
71, University of Oxford, Department of Economics.
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- Ole E. Barndorff-Nielsen & Neil Shephard, 2000. "Econometric analysis of realised volatility and its use in estimating stochastic volatility models," Economics Papers 2001-W4, Economics Group, Nuffield College, University of Oxford, revised 05 Jul 2001.
- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
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"Contemporaneous Asymmetry in Weak GARCH Processes,"
LIDAM Discussion Papers CORE
1996004, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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"Discrete time option pricing with flexible volatility estimation,"
Finance and Stochastics, Springer, vol. 4(2), pages 189-207.
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- Sergio Zúñiga, 1999. "Modelos de Tasas de Interés en Chile: Una Revisión," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 36(108), pages 875-893.
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Articles
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"Local Asymptotic Normality Of General Conditionally Heteroskedastic And Score-Driven Time-Series Models,"
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See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2021. "Local asymptotic normality of general conditionally heteroskedastic and score-driven time-series models," MPRA Paper 106542, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2022. "Local Asymptotic Normality of General Conditionally Heteroskedastic and Score-Driven Time-Series Models," Working Papers 2022-06, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoïan, Jean-Michel, 2022.
"Testing the existence of moments for GARCH processes,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 47-64.
See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Testing the existence of moments for GARCH processes," MPRA Paper 98892, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2020.
"Virtual Historical Simulation for estimating the conditional VaR of large portfolios,"
Journal of Econometrics, Elsevier, vol. 217(2), pages 356-380.
See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoian, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," Papers 1909.04661, arXiv.org.
- Fries, Sébastien & Zakoian, Jean-Michel, 2019.
"Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles,"
Econometric Theory, Cambridge University Press, vol. 35(6), pages 1234-1270, December.
See citations under working paper version above.
- Fries, Sébastien & Zakoian, Jean-Michel, 2017. "Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles," MPRA Paper 81345, University Library of Munich, Germany.
- Cerovecki, Clément & Francq, Christian & Hörmann, Siegfried & Zakoïan, Jean-Michel, 2019.
"Functional GARCH models: The quasi-likelihood approach and its applications,"
Journal of Econometrics, Elsevier, vol. 209(2), pages 353-375.
See citations under working paper version above.
- Cerovecki, Clément & Francq, Christian & Hormann, Siegfried & Zakoian, Jean-Michel, 2018. "Functional GARCH models: the quasi-likelihood approach and its applications," MPRA Paper 83990, University Library of Munich, Germany.
- C. Gouriéroux & A. Monfort & J.‐M. Zakoïan, 2019.
"Consistent Pseudo‐Maximum Likelihood Estimators and Groups of Transformations,"
Econometrica, Econometric Society, vol. 87(1), pages 327-345, January.
See citations under working paper version above.
- Christian Gouriéroux & Alain Monfort & Jean-Michel Zakoian, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," Working Papers 2018-08, Center for Research in Economics and Statistics.
- Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," MPRA Paper 87834, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2018.
"Estimation risk for the VaR of portfolios driven by semi-parametric multivariate models,"
Journal of Econometrics, Elsevier, vol. 205(2), pages 381-401.
Cited by:
- Eyden Samunderu & Yvonne T. Murahwa, 2021. "Return Based Risk Measures for Non-Normally Distributed Returns: An Alternative Modelling Approach," JRFM, MDPI, vol. 14(11), pages 1-48, November.
- Christian Francq & Jean-Michel Zakoian, 2019.
"Virtual Historical Simulation for estimating the conditional VaR of large portfolios,"
Papers
1909.04661, arXiv.org.
- Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2020. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," Journal of Econometrics, Elsevier, vol. 217(2), pages 356-380.
- ALAMI CHENTOUFI, Reda, 2024. "Penalized Convex Estimation in Dynamic Location-Scale models," MPRA Paper 123283, University Library of Munich, Germany.
- Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Pricing individual stock options using both stock and market index information," Journal of Banking & Finance, Elsevier, vol. 111(C).
- Zhu, Pengfei & Tang, Yong & Wei, Yu & Dai, Yimin, 2019. "Portfolio strategy of International crude oil markets: A study based on multiwavelet denoising-integration MF-DCCA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
- Arnold Polanski & Evarist Stoja & Ching‐Wai (Jeremy) Chiu, 2021. "Tail risk interdependence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5499-5511, October.
- Xu, Qifa & Chen, Lu & Jiang, Cuixia & Yu, Keming, 2020. "Mixed data sampling expectile regression with applications to measuring financial risk," Economic Modelling, Elsevier, vol. 91(C), pages 469-486.
- Zaichao Du & Pei Pei, 2020. "Backtesting portfolio value‐at‐risk with estimated portfolio weights," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 605-619, September.
- Amiri , Hossein & Najafi Nejad , Mahmood & Mousavi , Seyede Mohadese, 2021. "Estimation of Value at Risk (VaR) Based On Lévy-GARCH Models: Evidence from Tehran Stock Exchange," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 165-186, June.
- Samunderu, E. & Perret, J.K. & Geller, G., 2023. "The economic value rationale of fuel hedging: An empirical perspective from the global airline industry," Journal of Air Transport Management, Elsevier, vol. 106(C).
- Christian Francq & Olivier Wintenberger & Jean-Michel Zakoïan, 2018.
"Goodness-of-fit tests for Log-GARCH and EGARCH models,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 27-51, March.
Cited by:
- Christian M. Dahl & Emma M. Iglesias, 2010.
"Asymptotic normality of the QMLE in the level-effect ARCH model,"
CREATES Research Papers
2010-48, Department of Economics and Business Economics, Aarhus University.
- Christian M. Dahl & Emma M. Iglesias, 2021. "Asymptotic normality of the MLE in the level-effect ARCH model," Statistical Papers, Springer, vol. 62(1), pages 117-135, February.
- S. G. Meintanis & M. Hušková & M. D. Jiménez-Gamero, 2018. "Editorial," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(1), pages 1-2, March.
- Rewat Khanthaporn, 2022. "Analysis of Nonlinear Comovement of Benchmark Thai Government Bond Yields," PIER Discussion Papers 183, Puey Ungphakorn Institute for Economic Research.
- Pourkhanali, Armin & Tafakori, Laleh & Bee, Marco, 2023. "Forecasting Value-at-Risk using functional volatility incorporating an exogenous effect," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Yacouba Boubacar Maïnassara & Othman Kadmiri & Bruno Saussereau, 2022. "Portmanteau test for the asymmetric power GARCH model when the power is unknown," Statistical Papers, Springer, vol. 63(3), pages 755-793, June.
- M. Dolores Jiménez-Gamero & Sangyeol Lee & Simos G. Meintanis, 2020. "Goodness-of-fit tests for parametric specifications of conditionally heteroscedastic models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 682-703, September.
- Christian M. Dahl & Emma M. Iglesias, 2010.
"Asymptotic normality of the QMLE in the level-effect ARCH model,"
CREATES Research Papers
2010-48, Department of Economics and Business Economics, Aarhus University.
- Christian Gouriéroux & Jean-Michel Zakoïan, 2017.
"Local explosion modelling by non-causal process,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 737-756, June.
See citations under working paper version above.
- Gouriéroux, Christian & Zakoian, Jean-Michel, 2016. "Local Explosion Modelling by Noncausal Process," MPRA Paper 71105, University Library of Munich, Germany.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016.
"Variance Targeting Estimation of Multivariate GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
See citations under working paper version above.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2016.
"Estimating multivariate volatility models equation by equation,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 613-635, June.
Cited by:
- Kawakatsu Hiroyuki, 2021. "Simple Multivariate Conditional Covariance Dynamics Using Hyperbolically Weighted Moving Averages," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 33-52, January.
- Beutner, Eric & Heinemann, Alexander & Smeekes, Stephan, 2024.
"A residual bootstrap for conditional Value-at-Risk,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Eric Beutner & Alexander Heinemann & Stephan Smeekes, 2018. "A Residual Bootstrap for Conditional Value-at-Risk," Papers 1808.09125, arXiv.org, revised Aug 2023.
- Fokianos, Konstantinos, 2024. "Multivariate Count Time Series Modelling," Econometrics and Statistics, Elsevier, vol. 31(C), pages 100-116.
- Simon Hetland, 2020. "Spectral Targeting Estimation of $\lambda$-GARCH models," Papers 2007.02588, arXiv.org.
- Caporin, Massimiliano & Malik, Farooq, 2020. "Do structural breaks in volatility cause spurious volatility transmission?," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 60-82.
- Boubacar Maïnassara, Y. & Kadmiri, O. & Saussereau, B., 2022. "Estimation of multivariate asymmetric power GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
- Veraart, Almut E.D., 2019. "Modeling, simulation and inference for multivariate time series of counts using trawl processes," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 110-129.
- Eric Beutner & Julia Schaumburg & Barend Spanjers, 2024. "Bootstrapping GARCH Models Under Dependent Innovations," Tinbergen Institute Discussion Papers 24-008/III, Tinbergen Institute.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018.
"Asymptotics of Cholesky GARCH models and time-varying conditional betas,"
Post-Print
hal-04590232, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590251, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH Models and Time-Varying Conditional Betas," AMSE Working Papers 1845, Aix-Marseille School of Economics, France.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2016. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590533, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH Models and Time-Varying Conditional Betas," Working Papers halshs-01944656, HAL.
- Serge Darolles & Christian Francq & Sebastien Laurent, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590180, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2017. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590471, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-01980815, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2017. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590522, HAL.
- Darolles, Serges & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," MPRA Paper 83988, University Library of Munich, Germany.
- Darolles, Serge & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Journal of Econometrics, Elsevier, vol. 204(2), pages 223-247.
- Francq, Christian & Sucarrat, Genaro, 2017.
"An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns,"
Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 16-32.
- Francq, Christian & Sucarrat, Genaro, 2015. "Equation-by-Equation Estimation of a Multivariate Log-GARCH-X Model of Financial Returns," MPRA Paper 67140, University Library of Munich, Germany.
- Simos Meintanis & Bojana Milošević & Marko Obradović & Mirjana Veljović, 2024. "Goodness‐of‐fit tests for the multivariate Student‐t distribution based on i.i.d. data, and for GARCH observations," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(2), pages 298-319, March.
- de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018.
"MGARCH models: Trade-off between feasibility and flexibility,"
International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
- Almeida, Daniel de & Hotta, Luiz, 2015. "MGARCH models: tradeoff between feasibility and flexibility," DES - Working Papers. Statistics and Econometrics. WS ws1516, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Escribano, Alvaro & Sucarrat, Genaro, 2018.
"Equation-by-equation estimation of multivariate periodic electricity price volatility,"
Energy Economics, Elsevier, vol. 74(C), pages 287-298.
- Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," UC3M Working papers. Economics 23436, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Escribano, Alvaro & Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," MPRA Paper 72736, University Library of Munich, Germany.
- Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
- So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.
- Xiaoning Kang & Xinwei Deng & Kam‐Wah Tsui & Mohsen Pourahmadi, 2020. "On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices," International Statistical Review, International Statistical Institute, vol. 88(3), pages 616-641, December.
- Geert Dhaene & Piet Sercu & Jianbin Wu, 2022. "Volatility spillovers: A sparse multivariate GARCH approach with an application to commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 868-887, May.
- Yuchang Lin & Qianqian Zhu, 2024. "On vector linear double autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(3), pages 376-397, May.
- Francq, C. & Jiménez-Gamero, M.D. & Meintanis, S.G., 2017. "Tests for conditional ellipticity in multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 196(2), pages 305-319.
- D’Innocenzo, Enzo & Lucas, Andre, 2024. "Dynamic partial correlation models," Journal of Econometrics, Elsevier, vol. 241(2).
- Francq, Christian & Zakoïan, Jean-Michel, 2015.
"Risk-parameter estimation in volatility models,"
Journal of Econometrics, Elsevier, vol. 184(1), pages 158-173.
See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2012. "Risk-parameter estimation in volatility models," MPRA Paper 41713, University Library of Munich, Germany.
- Li, Dong & Ling, Shiqing & Zakoïan, Jean-Michel, 2015.
"Asymptotic inference in multiple-threshold double autoregressive models,"
Journal of Econometrics, Elsevier, vol. 189(2), pages 415-427.
Cited by:
- Guo, Shaojun & Li, Dong & Li, Muyi, 2019. "Strict stationarity testing and GLAD estimation of double autoregressive models," Journal of Econometrics, Elsevier, vol. 211(2), pages 319-337.
- Zhu Huafeng & Zhang Xingfa & Liang Xin & Li Yuan, 2018. "Moving Average Model with an Alternative GARCH-Type Error," Journal of Systems Science and Information, De Gruyter, vol. 6(2), pages 165-177, April.
- Shiqing Ling & Michael McAleer & Howell Tong, 2015.
"Frontiers in Time Series and Financial Econometrics: An Overview,"
Documentos de Trabajo del ICAE
2015-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Ling, Shiqing & McAleer, Michael & Tong, Howell, 2015. "Frontiers in Time Series and Financial Econometrics: An overview," Journal of Econometrics, Elsevier, vol. 189(2), pages 245-250.
- Shiqing Ling & Michael McAleer & Howell Tong, 2015. "Frontiers in Time Series and Financial Econometrics: An Overview," Tinbergen Institute Discussion Papers 15-026/III, Tinbergen Institute.
- Rong Jiang & Siu Kai Choy & Keming Yu, 2024. "Non‐crossing quantile double‐autoregression for the analysis of streaming time series data," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(4), pages 513-532, July.
- Zhu, Huafeng & Zhang, Xingfa & Liang, Xin & Li, Yuan, 2017. "On a vector double autoregressive model," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 86-95.
- Huan Gong & Dong Li, 2020. "On the three‐step non‐Gaussian quasi‐maximum likelihood estimation of heavy‐tailed double autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(6), pages 883-891, November.
- Li, Dong & Tao, Yuxin & Yang, Yaxing & Zhang, Rongmao, 2023. "Maximum likelihood estimation for α-stable double autoregressive models," Journal of Econometrics, Elsevier, vol. 236(1).
- Christian Gouriéroux & Jean-Michel Zakoïan, 2015.
"On Uniqueness of Moving Average Representations of Heavy-tailed Stationary Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 876-887, November.
See citations under working paper version above.
- Gouriéroux, Christian & Zakoian, Jean-Michel, 2014. "On uniqueness of moving average representations of heavy-tailed stationary processes," MPRA Paper 54907, University Library of Munich, Germany.
- Gourieroux, Christian & Zakoïan, Jean-Michel, 2013.
"Estimation-Adjusted Var,"
Econometric Theory, Cambridge University Press, vol. 29(4), pages 735-770, August.
See citations under working paper version above.
- Christian Gouriéroux & Jean-Michel Zakoian, 2012. "Estimation Adjusted VaR," Working Papers 2012-16, Center for Research in Economics and Statistics.
- Christian Francq & Jean-Michel Zakoïan, 2013.
"Optimal predictions of powers of conditionally heteroscedastic processes,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 345-367, March.
See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2010. "Optimal predictions of powers of conditionally heteroskedastic processes," MPRA Paper 22155, University Library of Munich, Germany.
- Christan Francq & Jean-Michel Zakoian, 2012. "Optimal Predictions of Powers of Conditionally Heteroskedastic Processes," Working Papers 2012-17, Center for Research in Economics and Statistics.
- Francq, Christian & Wintenberger, Olivier & Zakoïan, Jean-Michel, 2013.
"GARCH models without positivity constraints: Exponential or log GARCH?,"
Journal of Econometrics, Elsevier, vol. 177(1), pages 34-46.
See citations under working paper version above.
- Francq, Christian & Wintenberger, Olivier & Zakoian, Jean-Michel, 2012. "Garch models without positivity constraints: exponential or log garch?," MPRA Paper 41373, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2013.
"Estimating the Marginal Law of a Time Series With Applications to Heavy-Tailed Distributions,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 412-425, October.
See citations under working paper version above.
- Christian Francq & Jean-Michel Zakoïan, 2011. "Estimating the Marginal Law of a Time Series with Applications to Heavy Tailed Distributions," Working Papers 2011-30, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoïan, Jean-Michel, 2012.
"Qml Estimation Of A Class Of Multivariate Asymmetric Garch Models,"
Econometric Theory, Cambridge University Press, vol. 28(1), pages 179-206, February.
Cited by:
- Rasmus Søndergaard Pedersen, 2014.
"Targeting estimation of CCC-Garch models with infinite fourth moments,"
Discussion Papers
14-04, University of Copenhagen. Department of Economics.
- Pedersen, Rasmus Søndergaard, 2016. "Targeting Estimation Of Ccc-Garch Models With Infinite Fourth Moments," Econometric Theory, Cambridge University Press, vol. 32(2), pages 498-531, April.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016.
"Variance Targeting Estimation of Multivariate GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
- Wintenberger, Olivier & Cai, Sixiang, 2011. "Parametric inference and forecasting in continuously invertible volatility models," MPRA Paper 31767, University Library of Munich, Germany.
- Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
- Boubacar Maïnassara, Y. & Kadmiri, O. & Saussereau, B., 2022. "Estimation of multivariate asymmetric power GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018.
"Asymptotics of Cholesky GARCH models and time-varying conditional betas,"
Post-Print
hal-04590232, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590251, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH Models and Time-Varying Conditional Betas," AMSE Working Papers 1845, Aix-Marseille School of Economics, France.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2016. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590533, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH Models and Time-Varying Conditional Betas," Working Papers halshs-01944656, HAL.
- Serge Darolles & Christian Francq & Sebastien Laurent, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590180, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2017. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590471, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-01980815, HAL.
- Serge Darolles & Christian Francq & Sébastien Laurent, 2017. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Post-Print hal-04590522, HAL.
- Darolles, Serges & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," MPRA Paper 83988, University Library of Munich, Germany.
- Darolles, Serge & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Journal of Econometrics, Elsevier, vol. 204(2), pages 223-247.
- Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
- Manabu Asai & Mike K. P. So, 2021. "Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 271-294, May.
- de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018.
"MGARCH models: Trade-off between feasibility and flexibility,"
International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
- Almeida, Daniel de & Hotta, Luiz, 2015. "MGARCH models: tradeoff between feasibility and flexibility," DES - Working Papers. Statistics and Econometrics. WS ws1516, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Cavaliere, Giuseppe & Nielsen, Heino Bohn & Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2022.
"Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 241-263.
- Giuseppe Cavaliere & Heino Bohn Nielsen & Rasmus Søndergaard Pedersen & Anders Rahbek, 2018. "Bootstrap Inference On The Boundary Of The Parameter Space With Application To Conditional Volatility Models," Discussion Papers 18-10, University of Copenhagen. Department of Economics.
- Donghang Luo & Ke Zhu & Huan Gong & Dong Li, 2020. "Testing error distribution by kernelized Stein discrepancy in multivariate time series models," Papers 2008.00747, arXiv.org.
- Songhua Tan & Qianqian Zhu, 2022. "Asymmetric linear double autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 371-388, May.
- Conrad, Christian & Weber, Enzo, 2013.
"Measuring Persistence in Volatility Spillovers,"
VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order
79850, Verein für Socialpolitik / German Economic Association.
- Conrad, Christian & Weber, Enzo, 2013. "Measuring Persistence in Volatility Spillovers," University of Regensburg Working Papers in Business, Economics and Management Information Systems 473, University of Regensburg, Department of Economics.
- Conrad, Christian & Weber, Enzo, 2013. "Measuring Persistence in Volatility Spillovers," Working Papers 0543, University of Heidelberg, Department of Economics.
- Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
- Conrad, Christian & Loch, Karin & Rittler, Daniel, 2014. "On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 26-40.
- Charemza, Wojciech & Díaz, Carlos & Makarova, Svetlana, 2019. "Quasi ex-ante inflation forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 35(3), pages 994-1007.
- Stefano Grassi & Francesco Violante, 2021.
"Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas,"
CREATES Research Papers
2021-05, Department of Economics and Business Economics, Aarhus University.
- Stefano Grassi & Francesco Violante, 2021. "Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas," Working Papers 2021-05, Center for Research in Economics and Statistics.
- Stefano Grassi & Francesco Violante, 2021. "Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas," CEIS Research Paper 510, Tor Vergata University, CEIS, revised 11 Mar 2021.
- Haas, Markus & Liu, Ji-Chun, 2015. "Theory for a Multivariate Markov--switching GARCH Model with an Application to Stock Markets," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112855, Verein für Socialpolitik / German Economic Association.
- Cerovecki, Clément & Francq, Christian & Hörmann, Siegfried & Zakoïan, Jean-Michel, 2019.
"Functional GARCH models: The quasi-likelihood approach and its applications,"
Journal of Econometrics, Elsevier, vol. 209(2), pages 353-375.
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"Asymmetric Models for Realized Covariances,"
LIDAM Discussion Papers ISBA
2024022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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"Inflation fan charts, monetary policy and skew normal distribution,"
Discussion Papers in Economics
13/06, Division of Economics, School of Business, University of Leicester.
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"Inference and testing on the boundary in extended constant conditional correlation GARCH models,"
Discussion Papers
15-10, University of Copenhagen. Department of Economics.
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"Targeting estimation of CCC-Garch models with infinite fourth moments,"
Discussion Papers
14-04, University of Copenhagen. Department of Economics.
- Christian Francq & Jean‐Michel Zakoïan, 2012.
"Strict Stationarity Testing and Estimation of Explosive and Stationary Generalized Autoregressive Conditional Heteroscedasticity Models,"
Econometrica, Econometric Society, vol. 80(2), pages 821-861, March.
Cited by:
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"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.
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- Monica Billio & Maddalena Cavicchioli, 2013. "�Markov Switching Models for Volatility: Filtering, Approximation and Duality�," Working Papers 2013:24, Department of Economics, University of Venice "Ca' Foscari".
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"Nonstationary ARCH and GARCH with t-Distributed Innovations,"
Discussion Papers
15-07, University of Copenhagen. Department of Economics.
- Rasmus Søndergaard Pedersen & Anders Rahbek, 2015. "Nonstationary ARCH and GARCH with t-distributed Innovations," CREATES Research Papers 2015-27, Department of Economics and Business Economics, Aarhus University.
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"Random coefficient continuous systems: Testing for extreme sample path behavior,"
Journal of Econometrics, Elsevier, vol. 209(2), pages 208-237.
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- Yubo Tao & Peter C.B. Phillips & Jun Yu, 2017. "Random Coefficient Continuous Systems: Testing for Extreme Sample Path Behaviour," Cowles Foundation Discussion Papers 2114, Cowles Foundation for Research in Economics, Yale University.
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"Did the Financial Crisis affect the Market Valuation of Large Systemic U.S. Banks?,"
Working Papers
201709, Athens University Of Economics and Business, Department of Economics.
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"Testing for strict stationarity in a random coefficient autoregressive model,"
Econometric Reviews, Taylor & Francis Journals, vol. 40(3), pages 220-256, April.
- Lorenzo Trapani, 2018. "Testing for strict stationarity in a random coefficient autoregressive model," Discussion Papers 18/02, University of Nottingham, Granger Centre for Time Series Econometrics.
- Refk Selmi & Jamal Bouoiyour & Shawkat Hammoudeh & Youssef Errami & Mark E. Wohar, 2021.
"The energy transition, Trump energy agenda and COVID-19,"
International Economics, CEPII research center, issue 165, pages 140-153.
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- Stelios Arvanitis, 2017. "Non-Emptyness of Stochastic Dominance Effiicient Sets via Stochastic Spanning," Working Papers 201710, Athens University Of Economics and Business, Department of Economics.
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"Limit theory for moderate deviation from Integrated GARCH processes,"
Statistics & Probability Letters, Elsevier, vol. 150(C), pages 126-136.
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- Christian M. HAFNER & Arie PREMINGER, 2015.
"An ARCH Model Without Intercept,"
LIDAM Reprints CORE
2770, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian & Preminger, Arie, 2015. "An ARCH model without intercept," LIDAM Reprints ISBA 2015039, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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"Behavior of business investment in the USA under variable and proportional rates of replacement,"
Working Papers
201708, Athens University Of Economics and Business, Department of Economics.
- Bitros, George C. & Nadiri, M. Ishaq, 2017. "Behavior of business investment in the USA under variable and proportional rates of replacement," MPRA Paper 80594, University Library of Munich, Germany.
- Stefan Richter & Weining Wang & Wei Biao Wu, 2018.
"A supreme test for periodic explosive GARCH,"
Papers
1812.03475, arXiv.org.
- Richter, Stefan & Wang, Weining & Wu, Wei Biao, 2020. "A supreme test for periodic explosive GARCH," IRTG 1792 Discussion Papers 2020-018, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Li, Dong & Ling, Shiqing & Zhu, Ke, 2016. "ZD-GARCH model: a new way to study heteroscedasticity," MPRA Paper 68621, University Library of Munich, Germany.
- Arvanitis, Stelios, 2019. "Stable limit theory for the Gaussian QMLE in a non-stationary asymmetric GARCH model," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 166-172.
- Stefan Richter & Weining Wang & Wei Biao Wu, 2023. "Testing for parameter change epochs in GARCH time series," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 467-491.
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- Delaigle, Aurore & Meister, Alexander & Rombouts, Jeroen, 2016. "Root-T consistent density estimation in GARCH models," Journal of Econometrics, Elsevier, vol. 192(1), pages 55-63.
- Enzo D'Innocenzo & Andre Lucas & Bernd Schwaab & Xin Zhang, 2024. "Joint extreme Value-at-Risk and Expected Shortfall dynamics with a single integrated tail shape parameter," Tinbergen Institute Discussion Papers 24-069/III, Tinbergen Institute.
- Tingguo Zheng & Han Xiao & Rong Chen, 2021. "Generalized Autoregressive Moving Average Models with GARCH Errors," Papers 2105.05532, arXiv.org.
- Maddalena Cavicchioli, 2021. "Statistical inference for mixture GARCH models with financial application," Computational Statistics, Springer, vol. 36(4), pages 2615-2642, December.
- Tingguo Zheng & Han Xiao & Rong Chen, 2022. "Generalized autoregressive moving average models with GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 125-146, January.
- Li, Dong & Tao, Yuxin & Yang, Yaxing & Zhang, Rongmao, 2023. "Maximum likelihood estimation for α-stable double autoregressive models," Journal of Econometrics, Elsevier, vol. 236(1).
- Horváth, Lajos & Trapani, Lorenzo, 2019.
"Testing for randomness in a random coefficient autoregression model,"
Journal of Econometrics, Elsevier, vol. 209(2), pages 338-352.
- Lajos Horvath & Lorenzo Trapani, 2018. "Testing for randomness in a random coefficient autoregression model," Discussion Papers 18/03, University of Nottingham, Granger Centre for Time Series Econometrics.
- Bitros, George C., 2017.
"Germany and Greece: A mapping of their great divide and its EU implications,"
MPRA Paper
79039, University Library of Munich, Germany.
- George C. Bitros, 2017. "Germany and Greece: A mapping of their great divide and its EU implications," Working Papers 201706, Athens University Of Economics and Business, Department of Economics.
- Lajos Horvath & Lorenzo Trapani & Shixuan Wang, 2024. "Sequential monitoring for explosive volatility regimes," Papers 2404.17885, arXiv.org.
- Natasha Miaouli & Panagiota Koliousi, 2018. "Efficient bargaining versus Right to manage in the era of liberalization," Working Papers 201804, Athens University Of Economics and Business, Department of Economics.
- Tong Liu & Yanlin Shi, 2022. "Forecasting Crude Oil Future Volatilities with a Threshold Zero-Drift GARCH Model," Mathematics, MDPI, vol. 10(15), pages 1-20, August.
- Arvanitis, Stelios & Louka, Alexandros, 2017. "Stable limits for the Gaussian QMLE in the non-stationary GARCH(1,1) model," Economics Letters, Elsevier, vol. 161(C), pages 135-137.
- Li, Dong & Zhang, Xingfa & Zhu, Ke & Ling, Shiqing, 2018. "The ZD-GARCH model: A new way to study heteroscedasticity," Journal of Econometrics, Elsevier, vol. 202(1), pages 1-17.
- Stylianos G. Gogos & Dimitris Papageorgiou & Vanghelis Vassilatos, 2018.
"Rent seeking activities and aggregate economic performance - the case of Greece,"
Working Papers
252, Bank of Greece.
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- Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
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- George C. Bitros, 2017. "Still in the Woods," Working Papers 201711, Athens University Of Economics and Business, Department of Economics.
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"A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices,"
Energy Economics, Elsevier, vol. 33(6), pages 1240-1251.
See citations under working paper version above.
- Regnard, Nazim & Zakoian, Jean-Michel, 2010. "A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices," MPRA Paper 22642, University Library of Munich, Germany.
- Christian Francq & Lajos Horváth, 2011.
"Merits and Drawbacks of Variance Targeting in GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 9(4), pages 619-656.
See citations under working paper version above.
- Christian FRANCQ & Lajos HORVATH & Jean-Michel ZAKOIAN, 2009. "Merits and Drawbacks of Variance Targeting in GARCH Models," Working Papers 2009-17, Center for Research in Economics and Statistics.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2009. "Merits and drawbacks of variance targeting in GARCH models," MPRA Paper 15143, University Library of Munich, Germany.
- Francq, Christian & Lepage, Guillaume & Zakoïan, Jean-Michel, 2011.
"Two-stage non Gaussian QML estimation of GARCH models and testing the efficiency of the Gaussian QMLE,"
Journal of Econometrics, Elsevier, vol. 165(2), pages 246-257.
Cited by:
- Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
- Francq, Christian & Zakoian, Jean-Michel, 2012.
"Risk-parameter estimation in volatility models,"
MPRA Paper
41713, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2015. "Risk-parameter estimation in volatility models," Journal of Econometrics, Elsevier, vol. 184(1), pages 158-173.
- Sentana, Enrique & Fiorentini, Gabriele, 2018.
"Specification tests for non-Gaussian maximum likelihood estimators,"
CEPR Discussion Papers
12934, C.E.P.R. Discussion Papers.
- Gabriele Fiorentini & Enrique Sentana, 2018. "Specification Tests for Non-Gaussian Maximum Likelihood Estimators," Working Papers wp2018_1804, CEMFI.
- Gabriele Fiorentini & Enrique Sentana, 2021. "Specification tests for non‐Gaussian maximum likelihood estimators," Quantitative Economics, Econometric Society, vol. 12(3), pages 683-742, July.
- Gabriele Fiorentini & Enrique Sentana, 2018. "Specification tests for non-Gaussian maximum likelihood estimators," Econometrics Working Papers Archive 2018_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Gabriele Fiorentini & Enrique Sentana, 2018. "Specification tests for non-Gaussian maximum likelihood estimators," Working Paper series 18-22, Rimini Centre for Economic Analysis.
- Mohamed El Ghourabi & Christian Francq & Fedya Telmoudi, 2016.
"Consistent Estimation of the Value at Risk When the Error Distribution of the Volatility Model is Misspecified,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 37(1), pages 46-76, January.
- El Ghourabi, Mohamed & Francq, Christian & Telmoudi, Fedya, 2013. "Consistent estimation of the Value-at-Risk when the error distribution of the volatility model is misspecified," MPRA Paper 51150, University Library of Munich, Germany.
- Francq, Christian & Zakoian, Jean-Michel, 2015. "Looking for efficient qml estimation of conditional value-at-risk at multiple risk levels," MPRA Paper 67195, University Library of Munich, Germany.
- Hang Liu & Kanchan Mukherjee, 2022. "R-estimators in GARCH models: asymptotics and applications," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 98-113.
- Christian Gouriéroux & Alain Monfort & Eric Renault, 2017.
"Consistent Pseudo-Maximum Likelihood Estimators,"
Annals of Economics and Statistics, GENES, issue 125-126, pages 187-218.
- Christian Gouriéroux & Alain Monfort & Eric Renault, 2016. "Consistent Pseudo-Maximum Likelihood Estimators," Working Papers 2016-33, Center for Research in Economics and Statistics.
- Christian Gouriéroux & Alain Monfort & Eric Renault, 2017. "Consistent Pseudo-Maximum Likelihood Estimators," Working Papers 2017-10, Center for Research in Economics and Statistics.
- Christan Francq & Jean-Michel Zakoian, 2012.
"Optimal Predictions of Powers of Conditionally Heteroskedastic Processes,"
Working Papers
2012-17, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoian, Jean-Michel, 2010. "Optimal predictions of powers of conditionally heteroskedastic processes," MPRA Paper 22155, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2013. "Optimal predictions of powers of conditionally heteroscedastic processes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 345-367, March.
- Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
- Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2017. "Pseudo-Maximum Likelihood and Lie Groups of Linear Transformations," MPRA Paper 79623, University Library of Munich, Germany.
- Herwartz, Helmut, 2017. "Stock return prediction under GARCH — An empirical assessment," International Journal of Forecasting, Elsevier, vol. 33(3), pages 569-580.
- Gabriele Fiorentini & Enrique Sentana, 2018.
"Consistent non-Gaussian pseudo maximum likelihood estimators,"
Working Paper series
18-06, Rimini Centre for Economic Analysis.
- Gabriele Fiorentini & Enrique Sentana, 2018. "Consistent non-Gaussian pseudo maximum likelihood estimators," Econometrics Working Papers Archive 2018_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Fiorentini, Gabriele & Sentana, Enrique, 2019. "Consistent non-Gaussian pseudo maximum likelihood estimators," Journal of Econometrics, Elsevier, vol. 213(2), pages 321-358.
- Gabriele Fiorentini & Enrique Sentana, 2018. "Consistent Non-Gaussian Pseudo Maximum Likelihood Estimators," Working Papers wp2018_1802, CEMFI.
- Sentana, Enrique & Fiorentini, Gabriele, 2018. "Consistent non-Gaussian pseudo maximum likelihood estimators," CEPR Discussion Papers 12682, C.E.P.R. Discussion Papers.
- Perera, Indeewara & Silvapulle, Mervyn J., 2023. "Bootstrap specification tests for dynamic conditional distribution models," Journal of Econometrics, Elsevier, vol. 235(2), pages 949-971.
- Christian Gouriéroux & Alain Monfort & Jean-Michel Zakoian, 2018.
"Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations,"
Working Papers
2018-08, Center for Research in Economics and Statistics.
- C. Gouriéroux & A. Monfort & J.‐M. Zakoïan, 2019. "Consistent Pseudo‐Maximum Likelihood Estimators and Groups of Transformations," Econometrica, Econometric Society, vol. 87(1), pages 327-345, January.
- Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," MPRA Paper 87834, University Library of Munich, Germany.
- Huan Gong & Dong Li, 2020. "On the three‐step non‐Gaussian quasi‐maximum likelihood estimation of heavy‐tailed double autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(6), pages 883-891, November.
- Delaigle, Aurore & Meister, Alexander & Rombouts, Jeroen, 2016. "Root-T consistent density estimation in GARCH models," Journal of Econometrics, Elsevier, vol. 192(1), pages 55-63.
- Christian Francq & Jean-Michel Zakoian, 2014. "Multi-level Conditional VaR Estimation in Dynamic Models," Working Papers 2014-01, Center for Research in Economics and Statistics.
- Yining Chen, 2015. "Semiparametric Time Series Models with Log-concave Innovations: Maximum Likelihood Estimation and its Consistency," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 1-31, March.
- Zhu, Ke, 2012. "A mixed portmanteau test for ARMA-GARCH model by the quasi-maximum exponential likelihood estimation approach," MPRA Paper 40382, University Library of Munich, Germany.
- Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
- Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.
- Francq, Christian & Horvath, Lajos & Zakoïan, Jean-Michel, 2010.
"Sup-Tests For Linearity In A General Nonlinear Ar(1) Model,"
Econometric Theory, Cambridge University Press, vol. 26(4), pages 965-993, August.
See citations under working paper version above.
- Christian FRANCQ & Lajos HORVATH & Jean-Michel ZAKOIAN, 2009. "Sup-Tests for Linearity in a General Nonlinear AR(1) Model," Working Papers 2009-16, Center for Research in Economics and Statistics.
- Dabo-Niang, Sophie & Francq, Christian & Zakoïan, Jean-Michel, 2010.
"Combining Nonparametric and Optimal Linear Time Series Predictions,"
Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1554-1565.
See citations under working paper version above.
- Sophie DABO-NIANG & Christian FRANCQ & Jean-Michel ZAKOIAN, 2009. "Combining Nonparametric and Optimal Linear Time Series Predictions," Working Papers 2009-18, Center for Research in Economics and Statistics.
- Nazim Regnard & Jean‐Michel Zakoïan, 2010.
"Structure and estimation of a class of nonstationary yet nonexplosive GARCH models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 348-364, September.
Cited by:
- Rajae Azrak & Guy Mélard, 2022. "Autoregressive Models with Time-Dependent Coefficients—A Comparison between Several Approaches," Stats, MDPI, vol. 5(3), pages 1-21, August.
- Martínez Ibáñez, Oscar & Olmo, José, 2008.
"A nonlinear threshold model for the dependence of extremes of stationary sequences,"
Working Papers
2072/5361, Universitat Rovira i Virgili, Department of Economics.
- Martinez Oscar & Olmo Jose, 2012. "A Nonlinear Threshold Model for the Dependence of Extremes of Stationary Sequences," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-39, September.
- Martinez, O. & Olmo, J., 2008. "A Nonlinear Threshold Model for the Dependence of Extremes of Stationary Sequences," Working Papers 08/08, Department of Economics, City University London.
- Regnard, Nazim & Zakoian, Jean-Michel, 2010.
"A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices,"
MPRA Paper
22642, University Library of Munich, Germany.
- Regnard, Nazim & Zakoïan, Jean-Michel, 2011. "A conditionally heteroskedastic model with time-varying coefficients for daily gas spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1240-1251.
- Francq, Christian & Zakoïan, Jean-Michel, 2010.
"Inconsistency of the MLE and inference based on weighted LS for LARCH models,"
Journal of Econometrics, Elsevier, vol. 159(1), pages 151-165, November.
See citations under working paper version above.
- Christian Francq & Jean-Michel Zakoïan, 2010. "Inconsistency of the MLE and inference based on weighted LS for LARCH models," Post-Print hal-00732536, HAL.
- Christian Francq & Jean‐Michel Zakoïan, 2009.
"Bartlett's formula for a general class of nonlinear processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 449-465, July.
See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2009. "Bartlett's formula for a general class of non linear processes," MPRA Paper 13224, University Library of Munich, Germany.
- Francq, Christian & Zakoïan, Jean-Michel, 2009.
"Testing the Nullity of GARCH Coefficients: Correction of the Standard Tests and Relative Efficiency Comparisons,"
Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 313-324.
See citations under working paper version above.
- Francq, Christian & Zakoian, Jean-Michel, 2008. "Testing the nullity of GARCH coefficients : correction of the standard tests and relative efficiency comparisons," MPRA Paper 16672, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2008. "Testing the Nullity of GARCH Coefficients : Correction of the Standard Tests and Relative Efficiency Comparisons," Working Papers 2008-04, Center for Research in Economics and Statistics.
- Francq, Christian & Makarova, Svetlana & Zakoi[diaeresis]an, Jean-Michel, 2008.
"A class of stochastic unit-root bilinear processes: Mixing properties and unit-root test,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 312-326, January.
Cited by:
- Roberto Leon-Gonzalez & Fuyu Yang, 2017.
"Bayesian inference and forecasting in the stationary bilinear model,"
Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(20), pages 10327-10347, October.
- Roberto Leon-Gonzalez & Fuyu Yang, 2014. "Bayesian Inference and Forecasting in the Stationary Bilinear Model," University of East Anglia Applied and Financial Economics Working Paper Series 055, School of Economics, University of East Anglia, Norwich, UK..
- Christian Francq & Jean-Michel Zakoïan, 2010.
"Inconsistency of the MLE and inference based on weighted LS for LARCH models,"
Post-Print
hal-00732536, HAL.
- Francq, Christian & Zakoïan, Jean-Michel, 2010. "Inconsistency of the MLE and inference based on weighted LS for LARCH models," Journal of Econometrics, Elsevier, vol. 159(1), pages 151-165, November.
- Martínez Ibáñez, Oscar & Olmo, José, 2008.
"A nonlinear threshold model for the dependence of extremes of stationary sequences,"
Working Papers
2072/5361, Universitat Rovira i Virgili, Department of Economics.
- Martinez Oscar & Olmo Jose, 2012. "A Nonlinear Threshold Model for the Dependence of Extremes of Stationary Sequences," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-39, September.
- Martinez, O. & Olmo, J., 2008. "A Nonlinear Threshold Model for the Dependence of Extremes of Stationary Sequences," Working Papers 08/08, Department of Economics, City University London.
- William Sheng Liu & Frank Wogbe Agbola & Janet Ama Dzator, 2016. "The impact of FDI spillover effects on total factor productivity in the Chinese electronic industry: a panel data analysis," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(2), pages 217-234, April.
- Xu, Yong & Ji, Junzhe & Li, Nicolas & Borah, Dhruba, 2024. "How do executive excess compensation affect enterprise technological innovation: Evidence from a panel threshold model of chinese biopharmaceutical companies," Journal of Business Research, Elsevier, vol. 179(C).
- Abdelhakim Aknouche & Nadia Rabehi, 2010. "On an independent and identically distributed mixture bilinear time‐series model," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(2), pages 113-131, March.
- Christian FRANCQ & Jean-Michel ZAKOIAN, 2009. "Properties of the QMLE and the Weighted LSE for LARCH(q) Models," Working Papers 2009-19, Center for Research in Economics and Statistics.
- Yoon, Gawon, 2016. "Stochastic unit root processes: Maximum likelihood estimation, and new Lagrange multiplier and likelihood ratio tests," Economic Modelling, Elsevier, vol. 52(PB), pages 725-732.
- Roberto Leon-Gonzalez & Fuyu Yang, 2017.
"Bayesian inference and forecasting in the stationary bilinear model,"
Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(20), pages 10327-10347, October.
- Francq, Christian & ZakoI¨an, Jean-Michel, 2008.
"Deriving the autocovariances of powers of Markov-switching GARCH models, with applications to statistical inference,"
Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3027-3046, February.
Cited by:
- Monica Billio & Roberto Casarin & Anthony Osuntuyi, 2012.
"Efficient Gibbs Sampling for Markov Switching GARCH Models,"
Working Papers
2012:35, Department of Economics, University of Venice "Ca' Foscari".
- Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2016. "Efficient Gibbs sampling for Markov switching GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 37-57.
- Luc Bauwens & Arnaud Dufays & Jeroen V.K. Rombouts, 2011.
"Marginal Likelihood for Markov-Switching and Change-Point GARCH Models,"
Cahiers de recherche
1138, CIRPEE.
- BAUWENS, Luc & DUFAYS, Arnaud & ROMBOUTS, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," LIDAM Reprints CORE 2533, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BAUWENS, Luc & DUFAYS, Arnaud & ROMBOUTS, Jeroen V.K., 2011. "Marginal likelihood for Markov-switching and change-point GARCH models," LIDAM Discussion Papers CORE 2011013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, Luc & Dufays, Arnaud & Rombouts, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 508-522.
- Luc Bauwens & Arnaud Dufays & Jeroen Rombouts, 2011. "Marginal Likelihood for Markov-Switching and Change-Point Garch Models," CIRANO Working Papers 2011s-72, CIRANO.
- Luc Luc & Arnaud Dufays & Jeroen V.K. Rombouts, 2011. "Marginal Likelihood for Markov-switching and Change-point Garch Models," CREATES Research Papers 2011-41, Department of Economics and Business Economics, Aarhus University.
- Augustyniak, Maciej, 2014. "Maximum likelihood estimation of the Markov-switching GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 61-75.
- Ataurima Arellano, Miguel & Rodríguez, Gabriel, 2020. "Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017.
"Autoregressive Moving Average Infinite Hidden Markov-Switching Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 162-182, April.
- Luc Bauwens & Jean-François Carpantier & Arnaud Dufays, 2017. "Autoregressive Moving Average Infinite Hidden Markov-Switching Models," Post-Print hal-01795051, HAL.
- Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Luc BAUWENS & Jean-François CARPENTIER & Arnaud DUFAYS, 2017. "Autoregressive moving average infinite hidden Markov-switching models," LIDAM Reprints CORE 2836, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Maciej Augustyniak & Mathieu Boudreault & Manuel Morales, 2018. "Maximum Likelihood Estimation of the Markov-Switching GARCH Model Based on a General Collapsing Procedure," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 165-188, March.
- Abdelhakim Aknouche & Christian Francq, 2022.
"Stationarity and ergodicity of Markov switching positive conditional mean models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 436-459, May.
- Aknouche, Abdelhakim & Francq, Christian, 2020. "Stationarity and ergodicity of Markov switching positive conditional mean models," MPRA Paper 102503, University Library of Munich, Germany.
- Thomas Chuffart, 2013.
"Selection Criteria in Regime Switching Conditional Volatility Models,"
AMSE Working Papers
1339, Aix-Marseille School of Economics, France, revised 14 Jul 2013.
- Thomas Chuffart, 2015. "Selection Criteria in Regime Switching Conditional Volatility Models," Econometrics, MDPI, vol. 3(2), pages 1-28, May.
- Thomas Chuffart, 2015. "Selection Criteria in Regime Switching Conditional Volatility Models," Post-Print hal-01457388, HAL.
- Thomas Chuffart, 2013. "Selection Criteria in Regime Switching Conditional Volatility Models," Working Papers halshs-00844413, HAL.
- DUFAYS, Arnaud, 2012. "Infinite-state Markov-switching for dynamic volatility and correlation models," LIDAM Discussion Papers CORE 2012043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Jean-François Carpantier & Arnaud Dufays, 2014.
"Specific Markov-switching behaviour for ARMA parameters,"
Working Papers
hal-01821134, HAL.
- Jean-François Carpantier, 2014. "Specific Markov-switching behaviour for ARMA parameters," DEM Discussion Paper Series 14-07, Department of Economics at the University of Luxembourg.
- CARPANTIER, Jean-François & DUFAYS, Arnaud, 2014. "Specific Markov-switching behaviour for ARMA parameters," LIDAM Discussion Papers CORE 2014014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Aknouche, Abdelhakim & Demouche, Nacer, 2018. "Ergodicity conditions for a double mixed Poisson autoregression," MPRA Paper 88843, University Library of Munich, Germany.
- Carol Alexander & Emese Lazar, 2009. "Modelling Regime‐Specific Stock Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 761-797, December.
- Hotta, Luiz Koodi & Trucíos Maza, Carlos César & Pereira, Pedro L. Valls & Zevallos Herencia, Mauricio Henrique, 2024. "Forecasting VaR and ES through Markov-switching GARCH models: does the specication matter?," Textos para discussão 567, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
- Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
- Pérez, Ana & Ruiz, Esther & Veiga, Helena, 2009. "A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3593-3600, August.
- Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
- Aknouche, Abdelhakim & Demmouche, Nacer, 2019. "Ergodicity conditions for a double mixed Poisson autoregression," Statistics & Probability Letters, Elsevier, vol. 147(C), pages 6-11.
- Gerrit Reher & Bernd Wilfling, 2016. "A nesting framework for Markov-switching GARCH modelling with an application to the German stock market," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 411-426, March.
- Aknouche, Abdelhakim & Almohaimeed, Bader & Dimitrakopoulos, Stefanos, 2024. "Noising the GARCH volatility: A random coefficient GARCH model," MPRA Paper 120456, University Library of Munich, Germany, revised 15 Mar 2024.
- Wee, Damien C.H. & Chen, Feng & Dunsmuir, William T.M., 2022. "Likelihood inference for Markov switching GARCH(1,1) models using sequential Monte Carlo," Econometrics and Statistics, Elsevier, vol. 21(C), pages 50-68.
- Kai Zheng & Yuying Li & Weidong Xu, 2021. "Regime switching model estimation: spectral clustering hidden Markov model," Annals of Operations Research, Springer, vol. 303(1), pages 297-319, August.
- Maddalena Cavicchioli, 2021. "Statistical inference for mixture GARCH models with financial application," Computational Statistics, Springer, vol. 36(4), pages 2615-2642, December.
- Herrera, Ana María & Hu, Liang & Pastor, Daniel, 2018. "Forecasting crude oil price volatility," International Journal of Forecasting, Elsevier, vol. 34(4), pages 622-635.
- Pappas, Vasileios & Ingham, Hilary & Izzeldin, Marwan & Steele, Gerry, 2016. "Will the crisis “tear us apart”? Evidence from the EU," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 346-360.
- Monica Billio & Roberto Casarin & Anthony Osuntuyi, 2012.
"Efficient Gibbs Sampling for Markov Switching GARCH Models,"
Working Papers
2012:35, Department of Economics, University of Venice "Ca' Foscari".
- Francq, Christian & Zakoian, Jean-Michel, 2007.
"Quasi-maximum likelihood estimation in GARCH processes when some coefficients are equal to zero,"
Stochastic Processes and their Applications, Elsevier, vol. 117(9), pages 1265-1284, September.
Cited by:
- Rasmus Soendergaard Pedersen & Anders Rahbek, 2017.
"Testing Garch-X Type Models,"
Discussion Papers
17-15, University of Copenhagen. Department of Economics.
- Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2019. "Testing Garch-X Type Models," Econometric Theory, Cambridge University Press, vol. 35(5), pages 1012-1047, October.
- Guo, Shaojun & Li, Dong & Li, Muyi, 2019. "Strict stationarity testing and GLAD estimation of double autoregressive models," Journal of Econometrics, Elsevier, vol. 211(2), pages 319-337.
- Ekaterina Smetanina & Wei Biao Wu, 2021. "Asymptotic theory for QMLE for the real‐time GARCH(1,1) model," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(5-6), pages 752-776, September.
- Christian Francq & Lajos Horváth & Jean-Michel Zakoïan, 2016.
"Variance Targeting Estimation of Multivariate GARCH Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 353-382.
- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
- Luger, Richard, 2012. "Finite-sample bootstrap inference in GARCH models with heavy-tailed innovations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3198-3211.
- Mika Meitz & Pentti Saikkonen, 2008.
"Parameter estimation in nonlinear AR-GARCH models,"
Economics Series Working Papers
396, University of Oxford, Department of Economics.
- Mika Meitz & Pentti Saikkonen, 2008. "Parameter Estimation in Nonlinear AR-GARCH Models," Economics Working Papers ECO2008/25, European University Institute.
- Mika Meitz & Pentti Saikkonen, 2010. "Parameter estimation in nonlinear AR–GARCH models," Koç University-TUSIAD Economic Research Forum Working Papers 1002, Koc University-TUSIAD Economic Research Forum.
- Mika Meitz & Pentti Saikkonen, 2008. "Parameter estimation in nonlinear AR-GARCH models," CREATES Research Papers 2008-30, Department of Economics and Business Economics, Aarhus University.
- Meitz, Mika & Saikkonen, Pentti, 2011. "Parameter Estimation In Nonlinear Ar–Garch Models," Econometric Theory, Cambridge University Press, vol. 27(6), pages 1236-1278, December.
- Giuseppe Cavaliere & Indeewara Perera & Anders Rahbek, 2021.
"Specification tests for GARCH processes,"
Discussion Papers
21-06, University of Copenhagen. Department of Economics.
- Giuseppe Cavaliere & Indeewara Perera & Anders Rahbek, 2021. "Specification tests for GARCH processes," Papers 2105.14081, arXiv.org.
- PREMINGER Arie & STORTI Giuseppe, 2017.
"Least squares estimation for GARCH (1,1) model with heavy tailed errors,"
LIDAM Discussion Papers CORE
2017015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Preminger, Arie & Storti, Giuseppe, 2014. "Least squares estimation for GARCH (1,1) model with heavy tailed errors," MPRA Paper 59082, University Library of Munich, Germany.
- Iglesias Emma M., 2011. "Constrained k-class Estimators in the Presence of Weak Instruments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-13, September.
- Feiyu Jiang & Dong Li & Ke Zhu, 2019. "Non-standard inference for augmented double autoregressive models with null volatility coefficients," Papers 1905.01798, arXiv.org.
- Christian Francq & Jean-Michel Zakoïan, 2008. "A Tour in the Asymptotic Theory of GARCH Estimation," Working Papers 2008-03, Center for Research in Economics and Statistics.
- Emma M. Iglesias & Garry D. A. Phillips, 2012. "Estimation, Testing, and Finite Sample Properties of Quasi-Maximum Likelihood Estimators in GARCH-M Models," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 532-557, September.
- Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
- Royer, Julien, 2023. "Conditional asymmetry in Power ARCH(∞) models," Journal of Econometrics, Elsevier, vol. 234(1), pages 178-204.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2020. "Non-standard inference for augmented double autoregressive models with null volatility coefficients," Journal of Econometrics, Elsevier, vol. 215(1), pages 165-183.
- Cavaliere, Giuseppe & Nielsen, Heino Bohn & Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2022.
"Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models,"
Journal of Econometrics, Elsevier, vol. 227(1), pages 241-263.
- Giuseppe Cavaliere & Heino Bohn Nielsen & Rasmus Søndergaard Pedersen & Anders Rahbek, 2018. "Bootstrap Inference On The Boundary Of The Parameter Space With Application To Conditional Volatility Models," Discussion Papers 18-10, University of Copenhagen. Department of Economics.
- Abdelhakim Aknouche & Abdelouahab Bibi, 2009. "Quasi‐maximum likelihood estimation of periodic GARCH and periodic ARMA‐GARCH processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(1), pages 19-46, January.
- Thomas Chuffart & Emmanuel Flachaire & Anne Péguin-Feissolle, 2017.
"Testing for misspecification in the short-run component of GARCH-type models,"
Post-Print
hal-03157205, HAL.
- Thomas Chuffart & Emmanuel Flachaire & Anne Peguin-Feissolle, 2018. "Testing for misspecification in the short-run component of GARCH-type models," Post-Print hal-02083772, HAL.
- Chuffart Thomas & Flachaire Emmanuel & Péguin-Feissolle Anne, 2018. "Testing for misspecification in the short-run component of GARCH-type models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-17, December.
- Christian Francq & Jean-Michel Zakoïan, 2008. "Estimating ARCH Models when the Coefficients are Allowed to be Equal to Zero," Working Papers 2008-07, Center for Research in Economics and Statistics.
- Royer, Julien, 2021. "Conditional asymmetry in Power ARCH($\infty$) models," MPRA Paper 109118, University Library of Munich, Germany.
- De Clerk, Luke & Savel’ev, Sergey, 2022. "AI algorithms for fitting GARCH parameters to empirical financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
- Li, Dong & Ling, Shiqing & Zhu, Ke, 2016. "ZD-GARCH model: a new way to study heteroscedasticity," MPRA Paper 68621, University Library of Munich, Germany.
- Taewook Lee & Moosup Kim & Changryong Baek, 2015. "Tests for Volatility Shifts in Garch Against Long-Range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 127-153, March.
- Cizek, P., 2010.
"Modelling Conditional Heteroscedasticity in Nonstationary Series,"
Other publications TiSEM
a5a7b05f-5f1f-46ed-8ce8-5, Tilburg University, School of Economics and Management.
- Cizek, P., 2010. "Modelling Conditional Heteroscedasticity in Nonstationary Series," Discussion Paper 2010-84, Tilburg University, Center for Economic Research.
- Rasmus Søndergaard Pedersen, 2015.
"Inference and testing on the boundary in extended constant conditional correlation GARCH models,"
Discussion Papers
15-10, University of Copenhagen. Department of Economics.
- Pedersen, Rasmus Søndergaard, 2017. "Inference and testing on the boundary in extended constant conditional correlation GARCH models," Journal of Econometrics, Elsevier, vol. 196(1), pages 23-36.
- Abdelhakim Aknouche, 2012. "Multistage weighted least squares estimation of ARCH processes in the stable and unstable cases," Statistical Inference for Stochastic Processes, Springer, vol. 15(3), pages 241-256, October.
- Abdeljalil Settar & Nadia Idrissi Fatmi & Mohammed Badaoui, 2021. "New Approach in Dealing with the Non-Negativity of the Conditional Variance in the Estimation of GARCH Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 55-74, March.
- Francq, Christian & Thieu, Le Quyen, 2015.
"Qml inference for volatility models with covariates,"
MPRA Paper
63198, University Library of Munich, Germany.
- Francq, Christian & Thieu, Le Quyen, 2019. "Qml Inference For Volatility Models With Covariates," Econometric Theory, Cambridge University Press, vol. 35(1), pages 37-72, February.
- Han, Heejoon & Park, Joon Y., 2012. "ARCH/GARCH with persistent covariate: Asymptotic theory of MLE," Journal of Econometrics, Elsevier, vol. 167(1), pages 95-112.
- Francq, Christian & Zakoïan, Jean-Michel, 2009.
"Testing the Nullity of GARCH Coefficients: Correction of the Standard Tests and Relative Efficiency Comparisons,"
Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 313-324.
- Francq, Christian & Zakoian, Jean-Michel, 2008. "Testing the nullity of GARCH coefficients : correction of the standard tests and relative efficiency comparisons," MPRA Paper 16672, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2008. "Testing the Nullity of GARCH Coefficients : Correction of the Standard Tests and Relative Efficiency Comparisons," Working Papers 2008-04, Center for Research in Economics and Statistics.
- Jiang, Feiyu & Li, Dong & Zhu, Ke, 2021. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, vol. 224(2), pages 306-329.
- Li, Dong & Zhang, Xingfa & Zhu, Ke & Ling, Shiqing, 2018. "The ZD-GARCH model: A new way to study heteroscedasticity," Journal of Econometrics, Elsevier, vol. 202(1), pages 1-17.
- Xiaofei Hu & Beth Andrews, 2021. "Integer‐valued asymmetric garch modeling," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(5-6), pages 737-751, September.
- Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
- Rasmus Soendergaard Pedersen & Anders Rahbek, 2017.
"Testing Garch-X Type Models,"
Discussion Papers
17-15, University of Copenhagen. Department of Economics.
- Francq, Christian & Zakoïan, Jean-Michel, 2007.
"HAC estimation and strong linearity testing in weak ARMA models,"
Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
Cited by:
- Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2014.
"High Dimensional Generalized Empirical Likelihood for Moment Restrictions with Dependent Data,"
MPRA Paper
59640, University Library of Munich, Germany.
- Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2015. "High dimensional generalized empirical likelihood for moment restrictions with dependent data," Journal of Econometrics, Elsevier, vol. 185(1), pages 283-304.
- Alain Hecq & Franz C. Palm & Sébastien Laurent, 2016.
"On the Univariate Representation of BEKK Models with Common Factors,"
Post-Print
hal-01440307, HAL.
- 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).
- 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).
- Boubacar Mainassara, Yacouba, 2010. "Selection of weak VARMA models by Akaïke's information criteria," MPRA Paper 23412, University Library of Munich, Germany.
- Boubacar Maïnassara, Yacouba & Raïssi, Hamdi, 2015. "Semi-strong linearity testing in linear models with dependent but uncorrelated errors," Statistics & Probability Letters, Elsevier, vol. 103(C), pages 110-115.
- Boubacar Mainassara, Y. & Francq, C., 2011.
"Estimating structural VARMA models with uncorrelated but non-independent error terms,"
Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 496-505, March.
- Boubacar Mainassara, Yacouba & Francq, Christian, 2009. "Estimating structural VARMA models with uncorrelated but non-independent error terms," MPRA Paper 15141, University Library of Munich, Germany.
- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
- Yacouba Boubacar Maïnassara & Youssef Esstafa & Bruno Saussereau, 2021. "Estimating FARIMA models with uncorrelated but non-independent error terms," Statistical Inference for Stochastic Processes, Springer, vol. 24(3), pages 549-608, October.
- Yacouba Boubacar Maïnassara & Landy Rabehasaina, 2020. "Estimation of weak ARMA models with regime changes," Statistical Inference for Stochastic Processes, Springer, vol. 23(1), pages 1-52, April.
- Boubacar Mainassara, Yacouba, 2010. "Selection of weak VARMA models by modified Akaike's information criteria," MPRA Paper 24981, University Library of Munich, Germany.
- Hecq Alain & Sun Li, 2021. "Selecting between causal and noncausal models with quantile autoregressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 393-416, December.
- Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
- Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2014.
"High Dimensional Generalized Empirical Likelihood for Moment Restrictions with Dependent Data,"
MPRA Paper
59640, University Library of Munich, Germany.
- Christian Francq & Jean‐Michel Zakoïan, 2006.
"Linear‐representation Based Estimation of Stochastic Volatility Models,"
Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 33(4), pages 785-806, December.
Cited by:
- Breitung, Jorg & Hafner, Christian, 2016.
"A simple model for now-casting volatility series,"
LIDAM Reprints ISBA
2016040, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Breitung, J. & Hafner, C., 2016. "A simple model for now-casting volatility series," LIDAM Discussion Papers ISBA 2016035, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Jörg BREITUNG & Christian M. HAFNER, 2016. "A simple model for now-casting volatility series," LIDAM Reprints CORE 2865, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian & Breitung, Jörg, 2014. "A simple model for now-casting volatility series," LIDAM Discussion Papers CORE 2014060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BREITUNG, Jörg & HAFNER, Christian, 2016. "A Simple Model for Now-Casting Volatility Series," LIDAM Discussion Papers CORE 2016004, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Breitung, Jörg & Hafner, Christian M., 2016. "A simple model for now-casting volatility series," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1247-1255.
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Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 582-594.
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- Maddalena Cavicchioli, 2017. "Estimation and asymptotic covariance matrix for stochastic volatility models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 437-452, August.
- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
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"A simple model for now-casting volatility series,"
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"Mixing Properties Of A General Class Of Garch(1,1) Models Without Moment Assumptions On The Observed Process,"
Econometric Theory, Cambridge University Press, vol. 22(5), pages 815-834, October.
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- Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2009.
"Merits and drawbacks of variance targeting in GARCH models,"
MPRA Paper
15143, University Library of Munich, Germany.
- Christian Francq & Lajos Horváth, 2011. "Merits and Drawbacks of Variance Targeting in GARCH Models," Journal of Financial Econometrics, Oxford University Press, vol. 9(4), pages 619-656.
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CeMMAP working papers
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"Parameter estimation in nonlinear AR-GARCH models,"
Economics Series Working Papers
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- Mika Meitz & Pentti Saikkonen, 2008. "Parameter estimation in nonlinear AR-GARCH models," CREATES Research Papers 2008-30, Department of Economics and Business Economics, Aarhus University.
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"Ergodicity, Mixing, And Existence Of Moments Of A Class Of Markov Models With Applications To Garch And Acd Models,"
Econometric Theory, Cambridge University Press, vol. 24(5), pages 1291-1320, October.
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"Pitfalls in Backtesting Historical Simulation VaR Models,"
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2012-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
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Econometric Theory, Cambridge University Press, vol. 38(5), pages 959-985, October.
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Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 655-670, June.
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"Missing observations in observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.
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"Testing the Nullity of GARCH Coefficients: Correction of the Standard Tests and Relative Efficiency Comparisons,"
Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 313-324.
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- Christian Francq & Jean-Michel Zakoïan, 2008. "Testing the Nullity of GARCH Coefficients : Correction of the Standard Tests and Relative Efficiency Comparisons," Working Papers 2008-04, Center for Research in Economics and Statistics.
- Francq, Christian & Zakoian, Jean-Michel, 2010. "Strict stationarity testing and estimation of explosive ARCH models," MPRA Paper 22414, University Library of Munich, Germany.
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- Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis, 2012. "Statistical Modeling of Stock Returns: A Historical Survey with Methodological Reflections," DEOS Working Papers 1226, Athens University of Economics and Business.
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"Diagnostic Checking in ARMA Models With Uncorrelated Errors,"
Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 532-544, June.
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Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(2), pages 463-485, March.
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- 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.
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"Econometric modeling of exchange rate volatility and jumps,"
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Edward Elgar Publishing.
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- Christian Francq & Jean-Michel Zakoïan, 2010.
"Inconsistency of the MLE and inference based on weighted LS for LARCH models,"
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- Francq, Christian & Zakoïan, Jean-Michel, 2010. "Inconsistency of the MLE and inference based on weighted LS for LARCH models," Journal of Econometrics, Elsevier, vol. 159(1), pages 151-165, November.
- Li, Linyuan & Duchesne, Pierre & Liou, Chu Pheuil, 2021. "On diagnostic checking in ARMA models with conditionally heteroscedastic martingale difference using wavelet methods," Econometrics and Statistics, Elsevier, vol. 19(C), pages 169-187.
- Boubacar Mainassara, Yacouba, 2010. "Selection of weak VARMA models by Akaïke's information criteria," MPRA Paper 23412, University Library of Munich, Germany.
- Zhang, Xianyang, 2016. "White noise testing and model diagnostic checking for functional time series," Journal of Econometrics, Elsevier, vol. 194(1), pages 76-95.
- 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.
- Adrian Wai‐Kong Cheung & Jen‐Je Su & Astrophel Kim Choo, 2012. "Are exchange rates serially correlated? New evidence from the Euro FX markets," Review of Financial Economics, John Wiley & Sons, vol. 21(1), pages 14-20, January.
- 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.
- Violetta Dalla & Liudas Giraitis & Peter C. B. Phillips, 2020.
"Robust Tests for White Noise and Cross-Correlation,"
Working Papers
906, Queen Mary University of London, School of Economics and Finance.
- Violetta Dalla & Liudas Giraitis & Peter C.B. Phillips, 2019. "Robust Tests for White Noise and Cross-Correlation," Cowles Foundation Discussion Papers 2194, Cowles Foundation for Research in Economics, Yale University.
- Dalla, Violetta & Giraitis, Liudas & Phillips, Peter C. B., 2022. "Robust Tests For White Noise And Cross-Correlation," Econometric Theory, Cambridge University Press, vol. 38(5), pages 913-941, October.
- Violetta Dalla & Liudas Giraitis & Peter C.B. Phillips, 2019. "Robust Tests for White Noise and Cross-Correlation," Cowles Foundation Discussion Papers 2194, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
- Sanae Rujivan & Athinan Sutchada & Kittisak Chumpong & Napat Rujeerapaiboon, 2023. "Analytically Computing the Moments of a Conic Combination of Independent Noncentral Chi-Square Random Variables and Its Application for the Extended Cox–Ingersoll–Ross Process with Time-Varying Dimens," Mathematics, MDPI, vol. 11(5), pages 1-29, March.
- Dewachter, Hans & Erdemlioglu, Deniz & Gnabo, Jean-Yves & Lecourt, Christelle, 2014.
"The intra-day impact of communication on euro-dollar volatility and jumps,"
Journal of International Money and Finance, Elsevier, vol. 43(C), pages 131-154.
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- Boubacar Maïnassara, Yacouba & Raïssi, Hamdi, 2015. "Semi-strong linearity testing in linear models with dependent but uncorrelated errors," Statistics & Probability Letters, Elsevier, vol. 103(C), pages 110-115.
- Boubacar Mainassara, Y. & Francq, C., 2011.
"Estimating structural VARMA models with uncorrelated but non-independent error terms,"
Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 496-505, March.
- Boubacar Mainassara, Yacouba & Francq, Christian, 2009. "Estimating structural VARMA models with uncorrelated but non-independent error terms," MPRA Paper 15141, University Library of Munich, Germany.
- Adrian Wai-Kong Cheung & Jen-Je Su & Astrophel Kim Choo, 2011. "Are Euro exchange rates markets efficient? New evidence from a large panel," Discussion Papers in Finance finance:201109, Griffith University, Department of Accounting, Finance and Economics.
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- Christian Francq & Roch Roy & Abdessamad Saidi, 2011.
"Asymptotic Properties of Weighted Least Squares Estimation in Weak PARMA Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 32(6), pages 699-723, November.
- Francq, Christian & Roy, Roch & Saidi, Abdessamad, 2011. "Asymptotic properties of weighted least squares estimation in weak parma models," MPRA Paper 28721, University Library of Munich, Germany.
- Ali Ahmad & Christian Francq, 2015.
"Poisson QMLE of Count Time Series Models,"
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- Ali Ahmad & Christian Francq, 2016. "Poisson QMLE of Count Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 291-314, May.
- Ahmad, Ali & Francq, Christian, 2014. "Poisson qmle of count time series models," MPRA Paper 59804, University Library of Munich, Germany.
- Alfredo García-Hiernaux, 2009. "Diagnostic checking using subspace methods," Documentos de Trabajo del ICAE 2009-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Boubacar Mainassara, Yacouba, 2009. "Multivariate portmanteau test for structural VARMA models with uncorrelated but non-independent error terms," MPRA Paper 18990, University Library of Munich, Germany.
- Abdoulkarim Ilmi Amir & Yacouba Boubacar Maïnassara, 2020. "Multivariate portmanteau tests for weak multiplicative seasonal VARMA models," Statistical Papers, Springer, vol. 61(6), pages 2529-2560, December.
- Dong Li & Shiqing Ling & Jean-Michel Zakoian, 2013. "Asymptotic Inference in Multiple-Threshold Nonlinear Time Series Models," Working Papers 2013-51, Center for Research in Economics and Statistics.
- Roberto Baragona & Francesco Battaglia & Domenico Cucina, 2022. "Data-driven portmanteau tests for time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(3), pages 675-698, September.
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"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.
- Christian Francq & Jean-Michel Zakoïan, 2013.
"Estimating the Marginal Law of a Time Series With Applications to Heavy-Tailed Distributions,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 412-425, October.
- Christian Francq & Jean-Michel Zakoïan, 2011. "Estimating the Marginal Law of a Time Series with Applications to Heavy Tailed Distributions," Working Papers 2011-30, Center for Research in Economics and Statistics.
- Zdeněk Hlávka & Marie Hušková & Claudia Kirch & Simos G. Meintanis, 2017. "Fourier--type tests involving martingale difference processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(4), pages 468-492, April.
- Escanciano, J. Carlos & Lobato, Ignacio N., 2009. "An automatic Portmanteau test for serial correlation," Journal of Econometrics, Elsevier, vol. 151(2), pages 140-149, August.
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- Boubacar Mainassara, Yacouba & Carbon, Michel & Francq, Christian, 2010.
"Computing and estimating information matrices of weak arma models,"
MPRA Paper
27685, University Library of Munich, Germany.
- Boubacar Mainassara, Y. & Carbon, M. & Francq, C., 2012. "Computing and estimating information matrices of weak ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 345-361.
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"Estimation and forecasting in vector autoregressive moving average models for rich datasets,"
Journal of Econometrics, Elsevier, vol. 202(1), pages 75-91.
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- Duchesne, Pierre & Francq, Christian, 2010. "On testing for the mean vector of a multivariate distribution with generalized and {2}-inverses," MPRA Paper 19740, University Library of Munich, Germany.
- Lanne, Markku & Saikkonen, Pentti, 2009.
"Noncausal vector autoregression,"
Bank of Finland Research Discussion Papers
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- Lanne, Markku & Saikkonen, Pentti, 2013. "Noncausal Vector Autoregression," Econometric Theory, Cambridge University Press, vol. 29(3), pages 447-481, June.
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"Automatic Portmanteau Tests with Applications to Market Risk Management,"
CAEPR Working Papers
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- 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).
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- Stelios Arvanitis, 2014. "A simple example of an indirect estimator with discontinuous limit theory in the MA(1) model," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(6), pages 536-557, November.
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- Boubacar Mainassara, Yacouba, 2010. "Selection of weak VARMA models by modified Akaike's information criteria," MPRA Paper 24981, University Library of Munich, Germany.
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