SciELO - Scientific Electronic Library Online

 
vol.39 issue2The Performance of Multivariate Calibration on Ratios, Means and Proportions author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Colombiana de Estadística

Print version ISSN 0120-1751

Abstract

GOMEZ-DENIZ, EMILIO  and  PEREZ-RODRIGUEZ, JORGE V.. Conditional Duration Model and the Unobserved Market Heterogeneity of Traders: An Infinite Mixture of Non-Exponentials. Rev.Colomb.Estad. [online]. 2016, vol.39, n.2, pp.307-325. ISSN 0120-1751.  https://doi.org/10.15446/rce.v39n2.51584.

This paper extends the conditional duration model proposed by Luca & Zuccolotto (2003) proposing an infinite mixture of distributions based on non-exponentials that account for the unobserved market heterogeneity of traders. The model we propose takes into account the fact that reaction times follow a gamma distribution and that the intensity parameter follows the reciprocal of an inverse Gaussian distribution. This extension allows us to capture, not only various density shapes of durations, but also non-monotonic shapes of hazard functions. The model also allows us to test the unobserved heterogeneity of traders. This mixture model is easy to fit and characterises the behaviour of the conditional durations reasonably well.

Keywords : Autoregressive conditional duration model; Exponentialdistribution; Gamma distribution; Heterogeneity; Reciprocalinverse gaussian distribution.

        · abstract in Spanish     · text in English     · English ( pdf )