Periodic autoregressive conditional duration
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- Saranjeet Kaur Bhogal & Ramanathan Thekke Variyam, 2019. "Conditional Duration Models For High‐Frequency Data: A Review On Recent Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 252-273, February.
- Eduardo Rossi & Dean Fantazzini, 2015.
"Long Memory and Periodicity in Intraday Volatility,"
Journal of Financial Econometrics, Oxford University Press, vol. 13(4), pages 922-961.
- Eduardo Rossi & Dean Fantazzini, 2012. "Long memory and Periodicity in Intraday Volatility," DEM Working Papers Series 015, University of Pavia, Department of Economics and Management.
- Robert Lund & I. V. Basawa, 2000. "Recursive Prediction and Likelihood Evaluation for Periodic ARMA Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 21(1), pages 75-93, January.
- 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.
- Ambach, Daniel & Schmid, Wolfgang, 2015. "Periodic and long range dependent models for high frequency wind speed data," Energy, Elsevier, vol. 82(C), pages 277-293.
- Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984.
"Pseudo Maximum Likelihood Methods: Theory,"
Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
- Gourieroux Christian & Monfort Alain & Trognon A, 1981. "Pseudo maximum likelihood methods : theory," CEPREMAP Working Papers (Couverture Orange) 8129, CEPREMAP.
- Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
- Ilias Tsiakas, 2006. "Periodic Stochastic Volatility and Fat Tails," Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 90-135.
- Patton, Andrew J., 2011.
"Volatility forecast comparison using imperfect volatility proxies,"
Journal of Econometrics, Elsevier, vol. 160(1), pages 246-256, January.
- Andrew Patton, 2006. "Volatility Forecast Comparison using Imperfect Volatility Proxies," Research Paper Series 175, Quantitative Finance Research Centre, University of Technology, Sydney.
- 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.
- Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
- Ziel, Florian & Croonenbroeck, Carsten & Ambach, Daniel, 2016. "Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity," Applied Energy, Elsevier, vol. 177(C), pages 285-297.
- Nikolaus Hautsch, 2012. "Econometrics of Financial High-Frequency Data," Springer Books, Springer, number 978-3-642-21925-2, December.
- Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015. "Efficient modeling and forecasting of electricity spot prices," Energy Economics, Elsevier, vol. 47(C), pages 98-111.
- Bollerslev, Tim & Ghysels, Eric, 1996.
"Periodic Autoregressive Conditional Heteroscedasticity,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
- Bollerslev, T. & Ghysels, E., 1994. "Periodic Autoregressive Conditional Heteroskedasticity," Cahiers de recherche 9408, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Bollerslev, T. & Ghysels, E., 1994. "Periodic Autoregressive Conditional Heteroskedasticity," Cahiers de recherche 9408, Universite de Montreal, Departement de sciences economiques.
- repec:bla:jecsur:v:22:y:2008:i:4:p:711-751 is not listed on IDEAS
- Charles, Amélie, 2010.
"The day-of-the-week effects on the volatility: The role of the asymmetry,"
European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
- Amélie Charles, 2010. "The day-of-the week effects on the volatility: The role of the asymmetry," Post-Print hal-00771136, HAL.
- Cedric L. Mbanga, 2019. "The day-of-the-week pattern of price clustering in Bitcoin," Applied Economics Letters, Taylor & Francis Journals, vol. 26(10), pages 807-811, June.
- Chou, Ray Yeutien, 2005. "Forecasting Financial Volatilities with Extreme Values: The Conditional Autoregressive Range (CARR) Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 561-582, June.
- Boynton, Wentworth & Oppenheimer, Henry R. & Reid, Sean F., 2009. "Japanese day-of-the-week return patterns: New results," Global Finance Journal, Elsevier, vol. 20(1), pages 1-12.
- Giampiero M. Gallo & Edoardo Otranto, 2018.
"Combining sharp and smooth transitions in volatility dynamics: a fuzzy regime approach,"
Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(3), pages 549-573, April.
- Giampiero M. Gallo & Edoardo Otranto, 2017. "Combining Sharp and Smooth Transitions in Volatility Dynamics: a Fuzzy Regime Approach," Econometrics Working Papers Archive 2017_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Markku Lanne, 2006.
"A Mixture Multiplicative Error Model for Realized Volatility,"
Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 594-616.
- Markku Lanne, 2006. "A Mixture Multiplicative Error Model for Realized Volatility," Economics Working Papers ECO2006/3, European University Institute.
- Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.
- 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.
- Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984.
"Pseudo Maximum Likelihood Methods: Applications to Poisson Models,"
Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
- Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
- Bougerol, Philippe & Picard, Nico, 1992. "Stationarity of Garch processes and of some nonnegative time series," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 115-127.
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More about this item
Keywords
Positive time series; autoregressive conditional duration; periodic time-varying models; multiplicative error models; exponential QMLE; two-stage Gamma QMLE.;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2020-07-20 (Econometrics)
- NEP-ETS-2020-07-20 (Econometric Time Series)
- NEP-FOR-2020-07-20 (Forecasting)
- NEP-ORE-2020-07-20 (Operations Research)
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