Modelling financial time series with SEMIFAR-GARCH model
Jan Beran and
No 07/14, CoFE Discussion Papers from University of Konstanz, Center of Finance and Econometrics (CoFE)
A class of semiparametric fractional autoregressive GARCH models (SEMIFAR-GARCH), which includes deterministic trends, difference stationarity and stationarity with short-and long-range dependence, and heteroskedastic model errors, is very powerful for modelling ?nancial time series. This paper discusses the model fitting, including an efficient algorithm and parameter estimation of GARCH error term. So that the model can be applied in practice. We then illustrate the model and estimation methods with a few of different finance data sets.
Keywords: Financialtime series; GARCHmodel; SEMIFAR model; parameter estimation; kernel estimation; asymptotic property (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:cofedp:0714
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