On diagnostics in conditionally heteroskedastic time series models under elliptical distributions

Shuangzhe Liu*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    33 Citations (Scopus)

    Abstract

    In statistical diagnostics and sensitivity analysis, the local influence method plays an important rôle. In the present paper, we use this method to study financial time series data and conditionally heteroskedastic models under elliptical distributions. We start with a likelihood displacement, and consider data- and model-perturbation schemes. We obtain corresponding matrices of derivatives, and measures of slope and normal curvature, and then discuss the assessment of local influence.

    Original languageEnglish
    Pages (from-to)393-405
    Number of pages13
    JournalJournal of Applied Probability
    Volume41A
    DOIs
    Publication statusPublished - 2004

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