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Modeling the interdependence of volatility and inter-transaction duration processes
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Cited by:
- Manganelli, Simone, 2005.
"Duration, volume and volatility impact of trades,"
Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
- Manganelli, Simone, 2002. "Duration, volume and volatility impact of trades," Working Paper Series 125, European Central Bank.
- Kul B. Luintel & Yongdeng Xu, 2017.
"Testing weak exogeneity in multiplicative error models,"
Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1617-1630, October.
- Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
- Dingan Feng & Peter X.-K. Song & Tony S. Wirjanto, 2015. "Time-Deformation Modeling of Stock Returns Directed by Duration Processes," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 480-511, April.
- Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
- Bowsher, Clive G., 2007.
"Modelling security market events in continuous time: Intensity based, multivariate point process models,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 876-912, December.
- Clive Bowsher, 2002. "Modelling Security Market Events in Continuous Time: Intensity based, Multivariate Point Process Models," Economics Papers 2002-W22, Economics Group, Nuffield College, University of Oxford.
- Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford.
- Clive G. Bowsher, 2003. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2003-W03, Economics Group, Nuffield College, University of Oxford.
- Perera, Indeewara & Silvapulle, Mervyn J., 2021. "Bootstrap based probability forecasting in multiplicative error models," Journal of Econometrics, Elsevier, vol. 221(1), pages 1-24.
- Bouezmarni, Taoufik & Rombouts, Jeroen V.K., 2010.
"Nonparametric density estimation for positive time series,"
Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 245-261, February.
- Taoufik Bouezmarni & Jeroen V.K. Rombouts, 2006. "Nonparametric Density Estimation for Positive Time Series," Cahiers de recherche 06-09, HEC Montréal, Institut d'économie appliquée.
- BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen V. K., 2006. "Nonparametric density estimation for positive time series," LIDAM Discussion Papers CORE 2006085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Artur Sokolovsky & Luca Arnaboldi, 2020. "A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform Components," Papers 2009.09993, arXiv.org, revised Jun 2022.
- Stanislav Anatolyev & Dmitry Shakin, 2007.
"Trade intensity in the Russian stock market: dynamics, distribution and determinants,"
Applied Financial Economics, Taylor & Francis Journals, vol. 17(2), pages 87-104.
- Stanislav Anatolyev & Dmitry Shakin, 2006. "Trade intensity in the Russian stock market:dynamics, distribution and determinants," Working Papers w0070, Center for Economic and Financial Research (CEFIR).
- Stanislav Anatolyev & Dmitry Shakin, 2006. "Trade intensity in the Russian stock market:dynamics, distribution and determinants," Working Papers w0070, New Economic School (NES).
- Bauwens, Luc & Veredas, David, 2004.
"The stochastic conditional duration model: a latent variable model for the analysis of financial durations,"
Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
- BAUWENS, Luc & VEREDAS, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," LIDAM Reprints CORE 1688, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Fernandes, Marcelo & Grammig, Joachim, 2005.
"Nonparametric specification tests for conditional duration models,"
Journal of Econometrics, Elsevier, vol. 127(1), pages 35-68, July.
- Fernandes, M. & Grammig, J., 2000. "Non-Parametric Specification Tests for Conditional Duration Models," Economics Working Papers eco2000/4, European University Institute.
- Fernandes, Marcelo & Grammig, Joachim, 2003. "Nonparametric specification tests for conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 502, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Marcelo Fernandes & Joachim Grammig, 2000. "Non-Parametric Specification Tests For Conditional Duration Models," Computing in Economics and Finance 2000 40, Society for Computational Economics.
- Ola Simonsen, 2007. "An empirical model for durations in stocks," Annals of Finance, Springer, vol. 3(2), pages 241-255, March.
- Marcelo Fernandes & Marco Aurélio Dos Santos Rocha, 0.
"Are price limits on futures markets that cool? Evidence from the Brazilian Mercantile and Futures Exchange,"
Journal of Financial Econometrics, Oxford University Press, vol. 5(2), pages 219-242.
- Fernandes, Marcelo & Rocha, Marco Aurélio dos Santos, 2006. "Are price limits on futures markets that cool?: evidence from the Brazilian Mercantile and Futures Exchange," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 630, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Marcelo Fernandes & Marco Aurélio dos Santos Rocha, 2006. "Are Price Limits on Futures Markets That Cool? Evidence from the Brazilian Mercantile and Futures Exchange," Working Papers 579, Queen Mary University of London, School of Economics and Finance.
- Chen, Tao & Li, Jie & Cai, Jun, 2008. "Information content of inter-trade time on the Chinese market," Emerging Markets Review, Elsevier, vol. 9(3), pages 174-193, September.
- Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "Estimating and simulating Weibull models of risk or price durations: An application to ACD models," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 214-225.
- Clive Bowsher, 2004. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Model," Economics Series Working Papers 2003-W03, University of Oxford, Department of Economics.
- Chun Liu & John M Maheu, 2010. "Intraday Dynamics of Volatility and Duration: Evidence from the Chinese Stock Market," Working Papers tecipa-401, University of Toronto, Department of Economics.
- Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2009.
"Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange,"
Journal of Empirical Finance, Elsevier, vol. 16(5), pages 777-792, December.
- Georges Dionne & Pierre Duchesne & Maria Pacurar, 2005. "Intraday Value at Risk (IVaR) Using Tick-by-Tick Data with Application to the Toronto Stock Exchange," Cahiers de recherche 0533, CIRPEE.
- Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2005. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Working Papers 05-9, HEC Montreal, Canada Research Chair in Risk Management.
- Liu, Chun & Maheu, John M., 2012. "Intraday dynamics of volatility and duration: Evidence from Chinese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 329-348.
- Simonsen, Ola, 2006. "The Impact of News Releases on Trade Durations in Stocks -Empirical Evidence from Sweden," Umeå Economic Studies 688, Umeå University, Department of Economics.
- Hira L. Koul & Indeewara Perera & Narayana Balakrishna, 2023. "A class of Minimum Distance Estimators in Markovian Multiplicative Error Models," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 87-115, May.
- Xiufeng Yan, 2021. "Multiplicative Component GARCH Model of Intraday Volatility," Papers 2111.02376, arXiv.org.
- Vladim'ir Hol'y, 2022. "An Intraday GARCH Model for Discrete Price Changes and Irregularly Spaced Observations," Papers 2211.12376, arXiv.org, revised May 2024.
- Karaa, Rabaa & Slim, Skander & Hmaied, Dorra Mezzez, 2018. "Trading intensity and the volume-volatility relationship on the Tunis Stock Exchange," Research in International Business and Finance, Elsevier, vol. 44(C), pages 88-99.
- Francisco Blasques & Vladim'ir Hol'y & Petra Tomanov'a, 2018.
"Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros,"
Papers
1812.07318, arXiv.org, revised May 2024.
- Francisco Blasques & Vladimir Holy & Petra Tomanova, 2019. "Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros," Tinbergen Institute Discussion Papers 19-004/III, Tinbergen Institute.
- Marcelo Fernandes & Marco Aurélio Dos Santos Rocha, 0.
"Are price limits on futures markets that cool? Evidence from the Brazilian Mercantile and Futures Exchange,"
The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 5(2), pages 219-242.
- Marcelo Fernandes & Marco Aurélio dos Santos Rocha, 2006. "Are Price Limits on Futures Markets That Cool? Evidence from the Brazilian Mercantile and Futures Exchange," Working Papers 579, Queen Mary University of London, School of Economics and Finance.
- Marcelo Fernandes & Marco Aurélio dos Santos Rocha, 2006. "Are Price Limits on Futures Markets That Cool? Evidence from the Brazilian Mercantile and Futures Exchange," Working Papers 579, Queen Mary University of London, School of Economics and Finance.
- Fernandes, Marcelo & Rocha, Marco Aurélio dos Santos, 2006. "Are price limits on futures markets that cool?: evidence from the Brazilian Mercantile and Futures Exchange," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 630, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Simonsen, Ola, 2006. "Stock Data, Trade Durations, And Limit Order Book Information," Umeå Economic Studies 689, Umeå University, Department of Economics.
- Trojan, Sebastian, 2014. "Modeling Intraday Stochastic Volatility and Conditional Duration Contemporaneously with Regime Shifts," Economics Working Paper Series 1425, University of St. Gallen, School of Economics and Political Science.
- Samuel Gingras & William J. McCausland, 2020. "A Flexible Stochastic Conditional Duration Model," Papers 2005.09166, arXiv.org.
- N. Taylor & Y. Xu, 2017.
"The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data,"
Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
- Taylor, Nick & Xu, Yongdeng, 2013. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Cardiff Economics Working Papers E2013/7, Cardiff University, Cardiff Business School, Economics Section.
- Simonsen, Ola, 2005. "An Empirical Model for Durations in Stocks," Umeå Economic Studies 657, Umeå University, Department of Economics.
- Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.