Cross sectional efficient estimation of stochastic volatility short rate models

Dmitri Danilov, Pranab K. Mandal

    Research output: Book/ReportReportProfessional

    60 Downloads (Pure)


    We consider the problem of estimation of term structure of interest rates. Filtering theory approach is very natural here with the underlying setup being non-linear and non-Gaussian. Earlier works make use of Extended Kalman Filter (EKF). However, the EKF in this situation leads to inconsistent estimation of parameters, though without high bias. One way to avoid this is to use methods like Efficient Method of Moments or Indirect Inference Method. These methods, however, are numerically very demanding. We use Kitagawa type scheme for nonlinear filtering problem, which solves the inconsistency problem without being numerically so demanding.
    Original languageEnglish
    Place of PublicationEnschede
    PublisherUniversity of Twente
    Number of pages23
    Publication statusPublished - 2002

    Publication series

    NameMemorandum Faculty of Mathematical Sciences
    PublisherUniversity of Twente, Department of Applied Mathematics
    ISSN (Print)0169-2690


    • MSC-91B70
    • MSC-91B84
    • MSC-60G35
    • IR-65801
    • EWI-3434
    • METIS-206710
    • MSC-62M20


    Dive into the research topics of 'Cross sectional efficient estimation of stochastic volatility short rate models'. Together they form a unique fingerprint.

    Cite this