Description

The book addresses the problem of a time-varying unconditional variance of return processes utilizing a spline function. The knots of the spline functions are estimated as free parameters within a joined estimation process together with the parameters of the mean, the conditional variance and the spline function. With the help of this method, the knots are placed in regions where the unconditional variance is not smooth. The results are tested within an extensive simulation study and an empirical study employing the S&P500 index.

Modeling Time-Varying Unconditional Variance by Means of a Free-Knot Spline-GARCH Model

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The book addresses the problem of a time-varying unconditional variance of return processes utilizing a spline function. The knots of... Read more

    Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
    Publication Date: 28/07/2022
    ISBN13: 9783658386177, 978-3658386177
    ISBN10: 3658386177

    Number of Pages: 237

    Non Fiction , Business, Finance & Law

    Description

    The book addresses the problem of a time-varying unconditional variance of return processes utilizing a spline function. The knots of the spline functions are estimated as free parameters within a joined estimation process together with the parameters of the mean, the conditional variance and the spline function. With the help of this method, the knots are placed in regions where the unconditional variance is not smooth. The results are tested within an extensive simulation study and an empirical study employing the S&P500 index.

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