Extreme Value Theorem - Pareto Distribution

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AlexanderVaartjes
Posts: 1
Joined: Tue Aug 07, 2012 6:47 am

Extreme Value Theorem - Pareto Distribution

Postby AlexanderVaartjes » Tue Aug 07, 2012 7:48 am

Dear Sir/Madam,

Currently I am conducting research for my master thesis and I am struggling with EViews 7. My research is somewhat the same as: “Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach” from McNeil and Frey (2000). In the first part of my research I fit a GARCH (1,1) model to a historical return series by using pseudo maximum likelihood. Secondly, I calculate the residuals from the fitted model in EViews. So far so good. However, than I would like to apply extreme value theorem to the residuals. To be more specifically, I would like to apply the: “peaks over threshold approach” of the extreme value theorem. Meaning that a fixed high threshold value is chosen, it is assumed that the excess residuals over this threshold follow a generalized Pareto Distribution (GPD). Maximum likelihood should be used to fit the formula on page 8 of the attachment (the formula second formula on the page, immediately after formula eigth)

It would be of great help if you could help me with the proper programming language. I am not sure whether you are acquainted with Extreme Value Theorem. So, if I should give more information, please let me know!

Thanks you very much,

Alexander Vaartjes
Attachments
evt-garch.pdf
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postgrad24
Posts: 2
Joined: Sat Aug 20, 2016 2:08 pm

Re: Extreme Value Theorem - Pareto Distribution

Postby postgrad24 » Sat Aug 20, 2016 2:56 pm

I'm having the same trouble and wondered if you ever received a response to this..?


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