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Maximum likelihood estimation of mean reverting processes

Maximum likelihood estimation of mean reverting processes

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Maximum likelihood estimation of mean reverting processes Jos e Carlos Garc a Franco Onward, Inc. jcpollo@onwardinc.com Abstract Mean reverting processes are frequently used models in …

  Name, Processes, Maximum, Estimation, Likelihood, Reverting, Maximum likelihood estimation of mean reverting processes, Mean reverting

GARCH 101: An Introduction to the Use of ARCH/GARCH …

GARCH 101: An Introduction to the Use of ARCH/GARCH …

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Thus the GARCH models are mean reverting and conditionally heteroskedastic but have a constant unconditional variance. I turn now to the question of how the econometrician can possibly estimate an equation like the GARCH(1,1) when the only variable on which there are data is r t. The simple answer is to use Maximum Likelihood by substituting ht for

  Name, Likelihood, Reverting, Mean reverting

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