Bounds for the probability distribution function of the linear ACD process
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- Fernandes, Marcelo, 2004. "Bounds for the probability distribution function of the linear ACD process," Statistics & Probability Letters, Elsevier, vol. 68(2), pages 169-176, June.
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- Fernandes, Marcelo & Grammig, Joachim, 2006.
"A family of autoregressive conditional duration models,"
Journal of Econometrics, Elsevier, vol. 130(1), pages 1-23, January.
- FERNANDES, Marcelo & GRAMMIG, Joachim, 2001. "A family of autoregressive conditional duration models," LIDAM Discussion Papers CORE 2001036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Fernandes, Marcelo & Grammig, Joachim, 2003. "A family of autoregressive conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 501, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Fernandes, Marcelo & Grammig, Joachim, 2002. "A family of autoregressive conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 440, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- 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.
- Gourieroux, Christian & Jasiak, Joanna & Le Fol, Gaelle, 1999.
"Intra-day market activity,"
Journal of Financial Markets, Elsevier, vol. 2(3), pages 193-226, August.
- Gaëlle Le Fol & Christian Gourieroux, 1999. "Intra-day market activity," Post-Print halshs-00536268, HAL.
- Drost, Feike C & Werker, Bas J M, 2004.
"Semiparametric Duration Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 40-50, January.
- Drost, F.C. & Werker, B.J.M., 2001. "Semiparametric Duration Models," Discussion Paper 2001-11, Tilburg University, Center for Economic Research.
- Drost, F.C. & Werker, B.J.M., 2001. "Semiparametric Duration Models," Other publications TiSEM 845b71c6-9525-4006-a0df-4, Tilburg University, School of Economics and Management.
- Drost, F.C. & Werker, B.J.M., 2004. "Semiparametric duration models," Other publications TiSEM a1895e3e-f720-454b-9613-f, Tilburg University, School of Economics and Management.
- repec:dau:papers:123456789/5478 is not listed on IDEAS
- Luc Bauwens & Pierre Giot, 2000.
"The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks,"
Annals of Economics and Statistics, GENES, issue 60, pages 117-149.
- BAUWENS, Luc & GIOT, Pierre, 2000. "The logarithmic ACD model: an application to the bid-ask quote process of three NYSE stocks," LIDAM Reprints CORE 1497, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- repec:adr:anecst:y:2000:i:60:p:05 is not listed on IDEAS
- M. Pawlak & W. Schmid, 2001. "On the Distributional Properties of GARCH Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 22(3), pages 339-352, May.
- Joachim Grammig & Kai-Oliver Maurer, 2000. "Non-monotonic hazard functions and the autoregressive conditional duration model," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 16-38.
- Carrasco, Marine & Chen, Xiaohong, 2002. "Mixing And Moment Properties Of Various Garch And Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 18(1), pages 17-39, February.
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This paper has been announced in the following NEP Reports:- NEP-ECM-2004-06-09 (Econometrics)
- NEP-ETS-2004-06-02 (Econometric Time Series)
- NEP-FIN-2004-06-02 (Finance)
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