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Non-Parametric Specification Tests For Conditional Duration Models

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Author Info
Marcelo Fernandes (European University Institute)
Joachim Grammig (University of Frankfurt)

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Abstract

This paper deals with the estimation and testing of conditional duration models by looking at the density and hazard rate functions. More precisely, we focus on the distance between the parametric density (or hazard rate) function implied by the duration process and its non-parametric estimate. Asymptotic justification is derived using the functional delta method for fixed and gamma kernels, whereas finite sample properties are investigated through Monte Carlo simulations. Finally, we show the practical usefulness of such testing procedures by carrying out an empirical assessment of whether autoregressive conditional duration models are appropriate tools for modelling price durations of stocks traded at the New York Stock Exchange

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2000 with number 40.

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Date of creation: 05 Jul 2000
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Handle: RePEc:sce:scecf0:40

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Postal: CEF 2000, Departament d'Economia i Empresa, Universitat Pompeu Fabra, Ramon Trias Fargas, 25,27, 08005, Barcelona, Spain
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Fernandes, Marcelo & Grammig, Joachim, 2002. "A Family of Autoregressive Conditional Duration Models," Economics Working Papers (Ensaios Economicos da EPGE) 440, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
    Other versions:
  2. Fernandes, Marcelo & Monteiro, Paulo Klinger, 2004. "Central limit theorem for asymmetric kernel functionals," Economics Working Papers (Ensaios Economicos da EPGE) 522, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
    Other versions:
  3. Meitz, Mika & Teräsvirta, Timo, 2004. "Evaluating models of autoregressive conditional duration," Working Paper Series in Economics and Finance 557, Stockholm School of Economics, revised 13 Dec 2004. [Downloadable!]
    Other versions:
  4. Yongmiao Hong & Yoon-Jin Lee, 2007. "Detecting Misspecifications in Autoregressive Conditional Duration Models," Caepr Working Papers 2007-019, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington. [Downloadable!]
  5. Laurini, Márcio P. & Furlani, Luiz Gustavo C. & Portugal, Marcelo S., 2007. "Microestrutura Empírica e Mercado - Uma Análise para a Taxa de Câmbio Brl/Us$ Usando Dados de Alta Freqüência," Ibmec Working Papers wpe_89, Ibmec Working Paper, Ibmec São Paulo. [Downloadable!]
  6. BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen V. K., 2006. "Nonparametric density estimation for positive time series," CORE Discussion Papers 2006085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
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  7. Matos, João Manuel Gonçalves Amaro de & Fernandes, Marcelo, 2001. "Testing The Markov Property with Ultra High Frequency Financial Data," Economics Working Papers (Ensaios Economicos da EPGE) 414, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
    Other versions:
  8. Laurini, Márcio P. & Furlani, Luiz G. C. & Portugual, Marcelo S., 2008. "Empirical Market Microstructure: An Analysis Of The Brl/Us$ Exchange Rate Market Using High-Frequency Data," Ibmec Working Papers wpe_101, Ibmec Working Paper, Ibmec São Paulo. [Downloadable!]
  9. Luc, BAUWENS & Nikolaus, HAUTSCH, 2006. "Modelling Financial High Frequency Data Using Point Processes," Discussion Papers (ECON - Département des Sciences Economiques) 2006039, Université catholique de Louvain, Département des Sciences Economiques. [Downloadable!]
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  10. Nikolaus Hautsch, 2006. "Testing the Conditional Mean Function of Autoregressive Conditional Duration Models," FRU Working Papers 2006/06, University of Copenhagen. Department of Economics. Finance Research Unit. [Downloadable!]
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