Karya
Judul/Title Robust time series clustering of GARCH (1,1) models with outliers
Penulis/Author Vemmie Nastiti Lestari, S.Si., M.Sc. (1); Prof. Dr. Abdurakhman, S.Si., M.Si. (2); Prof. Dr.rer.nat. Dedi Rosadi, S.Si.,, M.Sc. (3)
Tanggal/Date 20 2024
Kata Kunci/Keyword
Abstrak/Abstract GARCHmodelscancontainoutliers,suchasAdditiveLevelOutliers (ALO)and/orAdditiveVolatilityOutliers(AVO), soarobustparam eterestimationisusedtoovercomethepresenceofoutliers.This studyusesQuasi-MaximumLikelihoodEstimation(QMLE)andM estimationtoestimatetheparametersoftheGARCHmodelcontain ingoutliers.HierarchicalandK-meansclusteringalgorithmsarethen usedtoclustertime-seriesdatabasedondistancescalculatedfrom theseparameterestimates.Theproposedapproachapplieshierar chicalandK-meansclusteringusingdistancesderivedfromQMLE andM-estimationresultsforGARCH(1,1)modelscontainingoutliers forclusteringwithsimulationdataandacasestudyusingstockdata listedintheIndonesiaStockExchange.Theresultsshowthathier archicalandK-meansclusteringwithdistancebetweentwoGARCH (1,1)modelsbasedonM-estimationproducesgoodclusterswith smallerCindexthanQMLEestimationsforsimulationdataandthe casestudyofstockdatainIndonesia.
Rumpun Ilmu Statistik
Bahasa Asli/Original Language English
Level Internasional
Status
Dokumen Karya
No Judul Tipe Dokumen Aksi