Estimating factor models for multivariate volatilities : an innovation expansion method

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Pan, Jiazhu and Polonik, Wolfgang and Yao, Qiwei; Lechevallier, L. and Saporta, G., eds. (2010) Estimating factor models for multivariate volatilities : an innovation expansion method. In: Proceedings of COMPSTAT 2010. A Physica Verlag Heidelberg product . Physica-Verlag HD, Heidelberg, pp. 305-314. ISBN 978-3-7908-2603-6 (https://doi.org/10.1007/978-3-7908-2604-3_28)

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Abstract

We introduce an innovation expansion method for estimation of factor models for conditional variance (volatility) of a multivariate time series. We estimate the factor loading space and the number of factors by a stepwise optimization algorithm on expanding the "white noise space". Simulation and a real data example are given for illustration.

ORCID iDs

Pan, Jiazhu ORCID logoORCID: https://orcid.org/0000-0001-7346-2052, Polonik, Wolfgang and Yao, Qiwei; Lechevallier, L. and Saporta, G.
  • Item type:Book Section
    ID code:29324
    Dates:
    Date
    Event
    30 September 2010
    Published
    Notes:Invited paper for COMPSTAT 2010 (19th International Conference on Computational Statistics)
    Subjects:Science > Mathematics
    Department:Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:06 May 2011 12:29
    Last modified:11 Nov 2024 14:41
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/29324
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