Olivier Wintenberger
Personal Details
First Name: | Olivier |
Middle Name: | |
Last Name: | Wintenberger |
Suffix: | |
RePEc Short-ID: | pwi297 |
[This author has chosen not to make the email address public] | |
http://wintenberger.fr | |
Affiliation
Laboratoire de Statistique Théorique et Appliquée
Université Pierre et Marie Curie (Paris 6-Jussieu)
Paris, Francehttp://www.lsta.upmc.fr/
RePEc:edi:lstp6fr (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Nicklas Werge & Olivier Wintenberger, 2020.
"AdaVol: An Adaptive Recursive Volatility Prediction Method,"
Papers
2006.02077, arXiv.org, revised Jan 2021.
- 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, 2022. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Post-Print hal-02733439, HAL.
- Rasmus Pedersen & Olivier Wintenberger, 2017.
"On the tail behavior of a class of multivariate conditionally heteroskedastic processes,"
Papers
1701.05091, arXiv.org, revised Dec 2017.
- Rasmus Søndergaard Pedersen & Olivier Wintenberger, 2017. "On the tail behavior of a class of multivariate conditionally heteroskedastic processes," Post-Print hal-01436267, HAL.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016. "Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models," Tinbergen Institute Discussion Papers 16-082/III, Tinbergen Institute.
- F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016.
"Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models,"
Papers
1610.02863, arXiv.org.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2018. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Post-Print hal-01377971, HAL.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2015. "A Note on “Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model”," Tinbergen Institute Discussion Papers 15-131/III, Tinbergen Institute.
- 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.
- 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.
- Paul Doukhan & Olivier Wintenberger, 2005.
"An Invariance Principle for New Weakly Dependent Stationary Models using Sharp Moment Assumptions,"
Working Papers
2005-51, Center for Research in Economics and Statistics.
repec:hal:wpaper:hal-01377971 is not listed on IDEAS
Articles
- Eric Adjakossa & Yannig Goude & Olivier Wintenberger, 2024. "Kalman recursions Aggregated Online," Statistical Papers, Springer, vol. 65(2), pages 909-944, April.
- Buriticá, Gloria & Mikosch, Thomas & Wintenberger, Olivier, 2023. "Large deviations of ℓp-blocks of regularly varying time series and applications to cluster inference," Stochastic Processes and their Applications, Elsevier, vol. 161(C), pages 68-101.
- Sebastian Mentemeier & Olivier Wintenberger, 2022. "Asymptotic independence ex machina: Extreme value theory for the diagonal SRE model," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 750-780, September.
- 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.
- 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.
- Nicklas Werge & Olivier Wintenberger, 2022. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Post-Print hal-02733439, HAL.
- Mikosch, Thomas & Rezapour, Mohsen & Wintenberger, Olivier, 2019. "Heavy tails for an alternative stochastic perpetuity model," Stochastic Processes and their Applications, Elsevier, vol. 129(11), pages 4638-4662.
- Kulik, Rafał & Soulier, Philippe & Wintenberger, Olivier, 2019. "The tail empirical process of regularly varying functions of geometrically ergodic Markov chains," Stochastic Processes and their Applications, Elsevier, vol. 129(11), pages 4209-4238.
- 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.
- 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.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2013.
"Prediction of time series by statistical learning: general losses and fast rates,"
Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2014. "Prediction of time series by statistical learning: general losses and fast rates," Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- 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.
- Wintenberger, Olivier, 2013. "Continuous invertibility and stable QML estimation of the EGARCH(1,1) model," MPRA Paper 46027, University Library of Munich, Germany.
- Doukhan, Paul & Wintenberger, Olivier, 2008. "Weakly dependent chains with infinite memory," Stochastic Processes and their Applications, Elsevier, vol. 118(11), pages 1997-2013, November.
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.Working papers
- Nicklas Werge & Olivier Wintenberger, 2020.
"AdaVol: An Adaptive Recursive Volatility Prediction Method,"
Papers
2006.02077, arXiv.org, revised Jan 2021.
- 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, 2022. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Post-Print hal-02733439, HAL.
Cited by:
- Simon Hirsch & Jonathan Berrisch & Florian Ziel, 2024. "Online Distributional Regression," Papers 2407.08750, arXiv.org, revised Aug 2024.
- 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.
- Rasmus Pedersen & Olivier Wintenberger, 2017.
"On the tail behavior of a class of multivariate conditionally heteroskedastic processes,"
Papers
1701.05091, arXiv.org, revised Dec 2017.
- Rasmus Søndergaard Pedersen & Olivier Wintenberger, 2017. "On the tail behavior of a class of multivariate conditionally heteroskedastic processes," Post-Print hal-01436267, HAL.
Cited by:
- Andreas Hetland, 2018. "The Stochastic Stationary Root Model," Econometrics, MDPI, vol. 6(3), pages 1-33, August.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016.
"Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models,"
Tinbergen Institute Discussion Papers
16-082/III, Tinbergen Institute.
Cited by:
- Luisa Bisaglia & Matteo Grigoletto, 2018. "A new time-varying model for forecasting long-memory series," Papers 1812.07295, arXiv.org.
- 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.
- Harvey, Andrew & Palumbo, Dario, 2023.
"Score-driven models for realized volatility,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Harvey, A. & Palumbo, D., 2019. "Score-Driven Models for Realized Volatility," Cambridge Working Papers in Economics 1950, Faculty of Economics, University of Cambridge.
- 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.
- Paolo Gorgi & Siem Jan Koopman, 2020.
"Beta observation-driven models with exogenous regressors: a joint analysis of realized correlation and leverage effects,"
Tinbergen Institute Discussion Papers
20-004/III, Tinbergen Institute.
- Gorgi, P. & Koopman, S.J., 2023. "Beta observation-driven models with exogenous regressors: A joint analysis of realized correlation and leverage effects," Journal of Econometrics, Elsevier, vol. 237(2).
- Harvey, A. & Hurn, S. & Thiele, S., 2019. "Modeling directional (circular) time series," Cambridge Working Papers in Economics 1971, Faculty of Economics, University of Cambridge.
- Babii, Andrii & Chen, Xi & Ghysels, Eric, 2019. "Commercial and Residential Mortgage Defaults: Spatial Dependence with Frailty," Journal of Econometrics, Elsevier, vol. 212(1), pages 47-77.
- 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).
- Blazsek, Szabolcs & Licht, Adrian, 2018. "Seasonal Quasi-Vector Autoregressive Models with an Application to Crude Oil Production and Economic Activity in the United States and Canada," UC3M Working papers. Economics 27484, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Blasques, F. & Gorgi, P. & Koopman, S.J., 2021.
"Missing observations in observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.
- Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2018. "Missing Observations in Observation-Driven Time Series Models," Tinbergen Institute Discussion Papers 18-013/III, Tinbergen Institute.
- Blazsek, Szabolcs & Licht, Adrian, 2020. "Prediction accuracy of bivariate score-driven risk premium and volatility filters: an illustration for the Dow Jones," UC3M Working papers. Economics 31339, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Ayala, Astrid & Blazsek, Szabolcs, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Blazsek, Szabolcs & Licht, Adrian, 2018. "Seasonality Detection in Small Samples using Score-Driven Nonlinear Multivariate Dynamic Location Models," UC3M Working papers. Economics 27483, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Ayala, Astrid & Blazsek, Szabolcs, 2019. "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics 28638, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016.
"Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models,"
Papers
1610.02863, arXiv.org.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2018. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Post-Print hal-01377971, HAL.
Cited by:
- 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.
- 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.
- 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).
- Vladimír Holý & Jan Zouhar, 2022. "Modelling time‐varying rankings with autoregressive and score‐driven dynamics," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1427-1450, November.
- Blasques, F. & Gorgi, P. & Koopman, S.J., 2021.
"Missing observations in observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.
- Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2018. "Missing Observations in Observation-Driven Time Series Models," Tinbergen Institute Discussion Papers 18-013/III, Tinbergen Institute.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2015.
"A Note on “Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model”,"
Tinbergen Institute Discussion Papers
15-131/III, Tinbergen Institute.
Cited by:
- F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016.
"Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models,"
Papers
1610.02863, arXiv.org.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2018. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Post-Print hal-01377971, HAL.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016. "Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models," Tinbergen Institute Discussion Papers 16-082/III, Tinbergen Institute.
- F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016.
"Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models,"
Papers
1610.02863, arXiv.org.
- 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.
Cited by:
- Guillaume Gaetan Martinet & Michael McAleer, 2014.
"On the Invertibility of EGARCH,"
Documentos de Trabajo del ICAE
2014-28, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Guillaume Gaetan Martinet & Michael McAleer, 2015. "On the Invertibility of EGARCH(p,q)," Documentos de Trabajo del ICAE 2015-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Tinbergen Institute Discussion Papers 14-096/III, Tinbergen Institute.
- Martinet, G.G. & McAleer, M.J., 2015. "On the Invertibility of EGARCH(p,q)," Econometric Institute Research Papers EI 2015-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Working Papers in Economics 14/21, University of Canterbury, Department of Economics and Finance.
- Guillaume Gaetan Martinet & Michael McAleer, 2015. "On the Invertibility of EGARCH(p,q)," Tinbergen Institute Discussion Papers 15-022/III, Tinbergen Institute.
- Guillaume Gaetan Martinet & Michael McAleer, 2018. "On the invertibility of EGARCH(p, q)," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 824-849, September.
- Martinet, G.G. & McAleer, M.J., 2014. "On the Invertibility of EGARCH," Econometric Institute Research Papers EI2014-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- 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.
- F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016.
"Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models,"
Papers
1610.02863, arXiv.org.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2018. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Post-Print hal-01377971, HAL.
- Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
- Michael McAleer & Christian M. Hafner, 2014.
"A One Line Derivation of EGARCH,"
Documentos de Trabajo del ICAE
2014-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Michael McAleer & Christian M. Hafner, 2014. "A One Line Derivation of EGARCH," Working Papers in Economics 14/16, University of Canterbury, Department of Economics and Finance.
- Michael McAleer & Christian M. Hafner, 2014. "A One Line Derivation of EGARCH," Tinbergen Institute Discussion Papers 14-069/III, Tinbergen Institute.
- McAleer, Michael & Hafner, Christian, 2014. "A One Line Derivation of EGARCH," LIDAM Reprints ISBA 2014030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Michael McAleer & Christian M. Hafner, 2014. "A One Line Derivation of EGARCH," Econometrics, MDPI, vol. 2(2), pages 1-6, June.
- McAleer, M.J. & Hafner, C.M., 2014. "A One Line Derivation of EGARCH," Econometric Institute Research Papers EI2014-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Creal, Drew & Koopman, Siem Jan & Lucas, André & Zamojski, Marcin, 2024. "Observation-driven filtering of time-varying parameters using moment conditions," Journal of Econometrics, Elsevier, vol. 238(2).
- Linton, Oliver & Wu, Jianbin, 2020. "A coupled component DCS-EGARCH model for intraday and overnight volatility," Journal of Econometrics, Elsevier, vol. 217(1), pages 176-201.
- Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2015. "A Note on “Continuous Invertibility and Stable QML Estimation of the EGARCH(1,1) Model”," Tinbergen Institute Discussion Papers 15-131/III, Tinbergen Institute.
- 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.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas & Julia Schaumburg, 2014.
"Spillover Dynamics for Systemic Risk Measurement using Spatial Financial Time Series Models,"
Tinbergen Institute Discussion Papers
14-107/III, Tinbergen Institute.
- Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2014. "Spillover dynamics for systemic risk measurement using spatial financial time series models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100632, Verein für Socialpolitik / German Economic Association.
- Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
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"Continuous invertibility and stable QML estimation of the EGARCH(1,1) model,"
MPRA Paper
46027, University Library of Munich, Germany.
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- 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.
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- 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.
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- 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.
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"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).
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- 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).
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"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.
- 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.
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- 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.
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- 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.
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- Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2017. "Testing for Leverage Effects in the Returns of US Equities," Post-Print halshs-00973922, HAL.
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- 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.
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- 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.
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Working Papers
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Cited by:
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Articles
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"AdaVol: An Adaptive Recursive Volatility Prediction Method,"
Econometrics and Statistics, Elsevier, vol. 23(C), pages 19-35.
See citations under working paper version above.
- Nicklas Werge & Olivier Wintenberger, 2020. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Papers 2006.02077, arXiv.org, revised Jan 2021.
- Nicklas Werge & Olivier Wintenberger, 2022. "AdaVol: An Adaptive Recursive Volatility Prediction Method," Post-Print hal-02733439, HAL.
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"The tail empirical process of regularly varying functions of geometrically ergodic Markov chains,"
Stochastic Processes and their Applications, Elsevier, vol. 129(11), pages 4209-4238.
Cited by:
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"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.
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"Asymptotic normality of the QMLE in the level-effect ARCH model,"
CREATES Research Papers
2010-48, Department of Economics and Business Economics, Aarhus University.
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"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.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2013.
"Prediction of time series by statistical learning: general losses and fast rates,"
Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2014. "Prediction of time series by statistical learning: general losses and fast rates," Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
Cited by:
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"How is Machine Learning Useful for Macroeconomic Forecasting?,"
Working Papers
20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
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- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Papers 2008.12477, arXiv.org.
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- Fan, Xiequan & Alquier, Pierre & Doukhan, Paul, 2022. "Deviation inequalities for stochastic approximation by averaging," Stochastic Processes and their Applications, Elsevier, vol. 152(C), pages 452-485.
- Alquier Pierre & Doukhan Paul & Fan Xiequan, 2019. "Exponential inequalities for nonstationary Markov chains," Dependence Modeling, De Gruyter, vol. 7(1), pages 150-168, January.
- 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.
See citations under working paper version above.
- Wintenberger, Olivier, 2013. "Continuous invertibility and stable QML estimation of the EGARCH(1,1) model," MPRA Paper 46027, University Library of Munich, Germany.
- Doukhan, Paul & Wintenberger, Olivier, 2008.
"Weakly dependent chains with infinite memory,"
Stochastic Processes and their Applications, Elsevier, vol. 118(11), pages 1997-2013, November.
Cited by:
- Boussama, Farid & Fuchs, Florian & Stelzer, Robert, 2011. "Stationarity and geometric ergodicity of BEKK multivariate GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 121(10), pages 2331-2360, October.
- Weiß, Christian H. & Zhu, Fukang, 2024. "Conditional-mean multiplicative operator models for count time series," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).
- William Kengne & Isidore S. Ngongo, 2022. "Inference for nonstationary time series of counts with application to change-point problems," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 801-835, August.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2013.
"Prediction of time series by statistical learning: general losses and fast rates,"
Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2014. "Prediction of time series by statistical learning: general losses and fast rates," Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- Aknouche, Abdelhakim & Bendjeddou, Sara, 2016. "Negative binomial quasi-likelihood inference for general integer-valued time series models," MPRA Paper 76574, University Library of Munich, Germany, revised 03 Feb 2017.
- Seok Young Hong & Oliver Linton, 2016. "Asymptotic properties of a Nadaraya-Watson type estimator for regression functions of in?finite order," CeMMAP working papers CWP53/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wu, Wei Biao & Huang, Yinxiao & Huang, Yibi, 2010. "Kernel estimation for time series: An asymptotic theory," Stochastic Processes and their Applications, Elsevier, vol. 120(12), pages 2412-2431, December.
- Hong, Seok Young & Linton, Oliver, 2020.
"Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff,"
Journal of Econometrics, Elsevier, vol. 219(2), pages 389-424.
- Hong, S-Y. & Linton, O., 2018. "Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff," Cambridge Working Papers in Economics 1877, Faculty of Economics, University of Cambridge.
- Aknouche, Abdelhakim & Bentarzi, Wissam & Demouche, Nacer, 2018. "On periodic ergodicity of a general periodic mixed Poisson autoregression," Statistics & Probability Letters, Elsevier, vol. 134(C), pages 15-21.
- Huaping Chen & Qi Li & Fukang Zhu, 2023. "A covariate-driven beta-binomial integer-valued GARCH model for bounded counts with an application," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(7), pages 805-826, October.
- Bardet, Jean-Marc & Kengne, William, 2014. "Monitoring procedure for parameter change in causal time series," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 204-221.
- Truquet, Lionel, 2023. "Strong mixing properties of discrete-valued time series with exogenous covariates," Stochastic Processes and their Applications, Elsevier, vol. 160(C), pages 294-317.
- Mamadou Lamine Diop & William Kengne, 2023. "A general procedure for change-point detection in multivariate time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 1-33, March.
- Huiyu Mao & Fukang Zhu & Yan Cui, 2020. "A generalized mixture integer-valued GARCH model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(3), pages 527-552, September.
- Fokianos, Konstantinos & Moysiadis, Theodoros, 2017. "Binary time series models driven by a latent process," Econometrics and Statistics, Elsevier, vol. 2(C), pages 117-130.
- 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.
- Kengne, William, 2021. "Strongly consistent model selection for general causal time series," Statistics & Probability Letters, Elsevier, vol. 171(C).
- Doukhan, Paul & Fokianos, Konstantinos & Tjøstheim, Dag, 2013. "Correction to “On weak dependence conditions for Poisson autoregressions” [Statist. Probab. Lett. 82 (2012) 942–948]," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1926-1927.
- Paul Doukhan, 2012. "Comments on: Some recent theory for autoregressive count time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(3), pages 447-450, September.
- Aknouche, Abdelhakim & Demouche, Nacer, 2018. "Ergodicity conditions for a double mixed Poisson autoregression," MPRA Paper 88843, University Library of Munich, Germany.
- Pierre Alquier & Olivier Wintenberg, 2010. "Model Selection for Weakly Dependent Time Series Forecasting," Working Papers 2010-39, Center for Research in Economics and Statistics.
- 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.
- Kare Kamila, 2023. "Data-driven model selection for same-realization predictions in autoregressive processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(4), pages 567-592, August.
- Vasiliki Christou & Konstantinos Fokianos, 2014. "Quasi-Likelihood Inference For Negative Binomial Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 55-78, January.
- 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.
- Seok Young Hong & Oliver Linton, 2016. "Asymptotic properties of a Nadaraya-Watson type estimator for regression functions of in finite order," CeMMAP working papers 53/16, Institute for Fiscal Studies.
- Doukhan, Paul & Fokianos, Konstantinos & Tjøstheim, Dag, 2012. "On weak dependence conditions for Poisson autoregressions," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 942-948.
- Aknouche, Abdelhakim & Demmouche, Nacer, 2019. "Ergodicity conditions for a double mixed Poisson autoregression," Statistics & Probability Letters, Elsevier, vol. 147(C), pages 6-11.
- Cui, Yunwei & Zheng, Qi, 2017. "Conditional maximum likelihood estimation for a class of observation-driven time series models for count data," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 193-201.
- Moysiadis, Theodoros & Fokianos, Konstantinos, 2014. "On binary and categorical time series models with feedback," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 209-228.
- Paul Doukhan & Silika Prohl & Christian Robert, 2011. "Subsampling weakly dependent time series and application to extremes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 447-479, November.
- Paul Doukhan & Silika Prohl & Christian Robert, 2011. "Rejoinder on: Subsampling weakly dependent time series and application to extremes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 499-502, November.
- Aknouche, Abdelhakim & Bentarzi, Wissam & Demouche, Nacer, 2017. "On periodic ergodicity of a general periodic mixed Poisson autoregression," MPRA Paper 79650, University Library of Munich, Germany.
- 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.
- Dag Tjøstheim, 2012. "Rejoinder on: Some recent theory for autoregressive count time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(3), pages 469-476, September.
- Demian Pouzo, 2024. "Maximal Inequalities for Empirical Processes under General Mixing Conditions with an Application to Strong Approximations," Papers 2402.11394, arXiv.org, revised Apr 2024.
- Mengya Liu & Qi Li & Fukang Zhu, 2020. "Self-excited hysteretic negative binomial autoregression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(3), pages 385-415, September.
- Doukhan, Paul & Fokianos, Konstantinos & Li, Xiaoyin, 2012. "On weak dependence conditions: The case of discrete valued processes," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 1941-1948.
- Mawuli Segnon, 2022. "Strict stationarity of Poisson integer-valued ARCH processes of order infinity," CQE Working Papers 10222, Center for Quantitative Economics (CQE), University of Muenster.
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (6) 2012-09-30 2013-04-13 2016-02-29 2016-10-09 2017-01-22 2020-06-29. Author is listed
- NEP-ETS: Econometric Time Series (6) 2012-09-30 2013-04-13 2016-02-29 2017-01-22 2018-02-12 2020-06-29. Author is listed
- NEP-DEM: Demographic Economics (1) 2022-07-18
- NEP-ORE: Operations Research (1) 2013-04-13
- NEP-RMG: Risk Management (1) 2022-07-18
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