Closed-form likelihood expansions for multivariate diffusions

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This paper provides closed-form expansions for the log-likelihood function of multivariate diffusions sampled at discrete time intervals. The coefficients of the expansion are calculated explicitly by exploiting the special structure afforded by the diffusion model. Examples of interest in financial statistics and Monte Carlo evidence are included, along with the convergence of the expansion to the true likelihood function.

Original languageEnglish (US)
Pages (from-to)906-937
Number of pages32
JournalAnnals of Statistics
Issue number2
StatePublished - Apr 2008

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


  • Diffusions
  • Discrete observations
  • Expansions
  • Likelihood


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