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Real Time Detection of Structural Breaks in GARCH Models
Citations
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Cited by:
- Mario Bonino & Matteo Camelia & Paolo Pigato, 2014.
"A multivariate model for financial indices and an algorithm for detection of jumps in the volatility,"
Papers
1404.7632, arXiv.org, revised Dec 2016.
- Mario Bonino & Matteo Camelia & Paolo Pigato, 2016. "A multivariate model for financial indices and an algorithm for detection of jumps in the volatility," Working Papers hal-01408495, HAL.
- De Wachter, Stefan & Tzavalis, Elias, 2012.
"Detection of structural breaks in linear dynamic panel data models,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3020-3034.
- Stefan De Wachter & Elias Tzavalis, 2004. "Detection of Structural Breaks in Linear Dynamic Panel Data Models," Working Papers 505, Queen Mary University of London, School of Economics and Finance.
- Raggi, Davide & Bordignon, Silvano, 2012.
"Long memory and nonlinearities in realized volatility: A Markov switching approach,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3730-3742.
- S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
- 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.
- 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".
- 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 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.
- 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).
- 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., 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).
- Luc Bauwens & Arnaud Dufays & Jeroen Rombouts, 2011. "Marginal Likelihood for Markov-Switching and Change-Point Garch Models," CIRANO Working Papers 2011s-72, CIRANO.
- Almeida e Santos Nogueira, R.J. & Basturk, N. & Kaymak, U. & Costa Sousa, J.M., 2013. "Estimation of flexible fuzzy GARCH models for conditional density estimation," ERIM Report Series Research in Management ERS-2013-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- BAUWENS, Luc & DUFAYS, Arnaud & DE BACKER, Bruno, 2011. "Estimating and forecasting structural breaks in financial time series," LIDAM Discussion Papers CORE 2011055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Arnaud Dufays, 2016.
"Evolutionary Sequential Monte Carlo Samplers for Change-Point Models,"
Econometrics, MDPI, vol. 4(1), pages 1-33, March.
- Arnaud Dufays, 2015. "Evolutionary Sequential Monte Carlo Samplers for Change-point Models," Cahiers de recherche 1518, CIRPEE.
- Arnaud Dufays, 2015. "Evolutionary Sequential Monte Carlo Samplers for Change-point Models," Cahiers de recherche 1508, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
- He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
- Chan, Joshua C.C. & Koop, Gary, 2014.
"Modelling breaks and clusters in the steady states of macroeconomic variables,"
Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 186-193.
- Chan, Joshua C.C. & Koop, Gary, 2011. "Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables," SIRE Discussion Papers 2011-22, Scottish Institute for Research in Economics (SIRE).
- Joshua C.C. Chan & Gary Koop, 2013. "Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables," ANU Working Papers in Economics and Econometrics 2013-603, Australian National University, College of Business and Economics, School of Economics.
- Joshua C C Chan & Gary Koop, 2012. "Modelling breaks and clusters in the steady states of macroeconomic variables," CAMA Working Papers 2012-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Gary Koop & Joshua Chan, 2011. "Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables," Working Papers 1111, University of Strathclyde Business School, Department of Economics.
- Kim, Kyungwon, 2013. "Modeling financial crisis period: A volatility perspective of Credit Default Swap market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4977-4988.
- 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).
- 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).
- 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).
- Jin, Xin & Maheu, John M., 2016.
"Modeling covariance breakdowns in multivariate GARCH,"
Journal of Econometrics, Elsevier, vol. 194(1), pages 1-23.
- Xin Jin & John M. Maheu, 2014. "Modeling Covariance Breakdowns in Multivariate GARCH," Working Paper series 36_14, Rimini Centre for Economic Analysis.
- Jin, Xin & Maheu, John M, 2014. "Modeling Covariance Breakdowns in Multivariate GARCH," MPRA Paper 55243, University Library of Munich, Germany.
- Bauwens, Luc & De Backer, Bruno & Dufays, Arnaud, 2014.
"A Bayesian method of change-point estimation with recurrent regimes: Application to GARCH models,"
Journal of Empirical Finance, Elsevier, vol. 29(C), pages 207-229.
- BAUWENS, Luc & DE BACKER, Bruno & DUFAYS, Arnaud, 2014. "A Bayesian method of change-point estimation with recurrent regimes: application to GARCH models," LIDAM Reprints CORE 2641, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Ross, Gordon J., 2013. "Modelling financial volatility in the presence of abrupt changes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 350-360.
- Sigauke, C. & Chikobvu, D., 2011. "Prediction of daily peak electricity demand in South Africa using volatility forecasting models," Energy Economics, Elsevier, vol. 33(5), pages 882-888, September.
- He, Zhongfang & Maheu, John M., 2010.
"Real time detection of structural breaks in GARCH models,"
Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2628-2640, November.
- Zhongfang He & John M Maheu, 2008. "Real Time Detection of Structural Breaks in GARCH Models," Working Papers tecipa-336, University of Toronto, Department of Economics.
- Zhongfang He & John M. Maheu, 2009. "Real Time Detection of Structural Breaks in GARCH Models," Working Paper series 11_09, Rimini Centre for Economic Analysis.
- Zhongfang He & John M. Maheu, 2009. "Real Time Detection of Structural Breaks in GARCH Models," Staff Working Papers 09-31, Bank of Canada.
- Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
- Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.
- Jian He & Asma Khedher & Peter Spreij, 2021. "A Kalman particle filter for online parameter estimation with applications to affine models," Statistical Inference for Stochastic Processes, Springer, vol. 24(2), pages 353-403, July.
- Kim, Kyungwon & Jung, Sean S., 2014. "Empirical analysis of structural change in Credit Default Swap volatility," Chaos, Solitons & Fractals, Elsevier, vol. 60(C), pages 56-67.
- Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
- Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
- Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
- Gordon J. Ross, 2012. "Modeling Financial Volatility in the Presence of Abrupt Changes," Papers 1212.6016, arXiv.org.