My bibliography
Save this item
Modeling corporate defaults: Poisson autoregressions with exogenous covariates (PARX)
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Weiß, Christian H. & Zhu, Fukang, 2024. "Conditional-mean multiplicative operator models for count time series," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).
- Yang, Kai & Yu, Xinyang & Zhang, Qingqing & Dong, Xiaogang, 2022. "On MCMC sampling in self-exciting integer-valued threshold time series models," Computational Statistics & Data Analysis, Elsevier, vol. 169(C).
- Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2019.
"Testing Garch-X Type Models,"
Econometric Theory, Cambridge University Press, vol. 35(5), pages 1012-1047, October.
- Rasmus Soendergaard Pedersen & Anders Rahbek, 2017. "Testing Garch-X Type Models," Discussion Papers 17-15, University of Copenhagen. Department of Economics.
- Escribano, Ana & Maggi, Mario, 2019. "Intersectoral default contagion: A multivariate Poisson autoregression analysis," Economic Modelling, Elsevier, vol. 82(C), pages 376-400.
- Huaping Chen, 2023. "A New Soft-Clipping Discrete Beta GARCH Model and Its Application on Measles Infection," Stats, MDPI, vol. 6(1), pages 1-19, February.
- 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.
- Arianna Agosto & Paolo Giudici, 2020.
"A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics,"
Risks, MDPI, vol. 8(3), pages 1-8, July.
- Arianna Agosto & Paolo Giudici, 2020. "A Poisson autoregressive model to understand COVID-19 contagion dynamics," DEM Working Papers Series 185, University of Pavia, Department of Economics and Management.
- Aknouche, Abdelhakim & Francq, Christian, 2021.
"Count And Duration Time Series With Equal Conditional Stochastic And Mean Orders,"
Econometric Theory, Cambridge University Press, vol. 37(2), pages 248-280, April.
- Aknouche, Abdelhakim & Francq, Christian, 2018. "Count and duration time series with equal conditional stochastic and mean orders," MPRA Paper 90838, University Library of Munich, Germany.
- Giovanni Angelini & Luca De Angelis, 2017.
"PARX model for football match predictions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 795-807, November.
- Giovanni Angelini & Luca De Angelis, 2016. "PARX model for football matches predictions," Quaderni di Dipartimento 2, Department of Statistics, University of Bologna.
- Giuseppe Cavaliere & Indeewara Perera & Anders Rahbek, 2021.
"Specification tests for GARCH processes,"
Papers
2105.14081, arXiv.org.
- Giuseppe Cavaliere & Indeewara Perera & Anders Rahbek, 2021. "Specification tests for GARCH processes," Discussion Papers 21-06, University of Copenhagen. Department of Economics.
- 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.
- 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).
- 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.
- Stefano Cabras, 2021. "A Bayesian-Deep Learning Model for Estimating COVID-19 Evolution in Spain," Mathematics, MDPI, vol. 9(22), pages 1-18, November.
- 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.
- Rémy Garnier, 2022. "Concurrent neural network: a model of competition between times series," Annals of Operations Research, Springer, vol. 313(2), pages 945-964, June.
- Huaping Chen & Qi Li & Fukang Zhu, 2022. "A new class of integer-valued GARCH models for time series of bounded counts with extra-binomial variation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(2), pages 243-270, June.
- Dennis Kristensen & Young Jun Lee, 2019. "Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models," Papers 1904.05209, arXiv.org, revised Aug 2023.
- Giada Adelfio & Arianna Agosto & Marcello Chiodi & Paolo Giudici, 2021. "Financial contagion through space-time point processes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 665-688, June.
- Cavaliere, Giuseppe & Lu, Ye & Rahbek, Anders & Stærk-Østergaard, Jacob, 2023.
"Bootstrap inference for Hawkes and general point processes,"
Journal of Econometrics, Elsevier, vol. 235(1), pages 133-165.
- Giuseppe Cavaliere & Ye Lu & Anders Rahbek & Jacob St{ae}rk-{O}stergaard, 2021. "Bootstrap Inference for Hawkes and General Point Processes," Papers 2104.03122, arXiv.org, revised Sep 2021.
- Cavaliere, Giuseppe & Lu,Ye & Rahbek, Anders & Staerk-Ostergaard, J, 2021. "Bootstrap Inference For Hawkes And General Point Processes," Working Papers 2021-05, University of Sydney, School of Economics.
- Giuseppe Cavaliere & Ye Lu & Anders Rahbek & Jacob Stærk-Østergaard, 2021. "Bootstrap inference for Hawkes and general point processes," Discussion Papers 21-05, University of Copenhagen. Department of Economics.
- Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
- Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
- Lu, Ye & Suthaharan, Neyavan, 2023. "Electricity price spike clustering: A zero-inflated GARX approach," Energy Economics, Elsevier, vol. 124(C).
- 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.
- Maia, Gisele de Oliveira & Barreto-Souza, Wagner & Bastos, Fernando de Souza & Ombao, Hernando, 2021. "Semiparametric time series models driven by latent factor," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1463-1479.
- Arianna Agosto & Paolo Giudici, 2020. "COVID-19 contagion and digital finance," Digital Finance, Springer, vol. 2(1), pages 159-167, September.
- Geir D. Berentsen & Jan Bulla & Antonello Maruotti & Bård Støve, 2022. "Modelling clusters of corporate defaults: Regime‐switching models significantly reduce the contagion source," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 698-722, June.
- Giovanni Angelini & Giuseppe Cavaliere & Enzo D'Innocenzo & Luca De Angelis, 2022. "Time-Varying Poisson Autoregression," Papers 2207.11003, arXiv.org.
- Randal Douc & François Roueff & Tepmony Sim, 2021. "Necessary and sufficient conditions for the identifiability of observation‐driven models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 140-160, March.
- Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.