ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T

Quantitative risk measurement can be calculated using Value at Risk (VaR) method. Usually, we use VaR with Student-t distribution to estimate the maximum potential loss of leptokurtic data. This VaR Student-t is constant. In this paper, we employ VaR Student-t with EGARCH Student's-t model to e...

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Main Authors: , BONDRA UJI PRATAMA, , Dr. Abdurakhman, S.Si., M.Si.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
_version_ 1797036000209272832
author , BONDRA UJI PRATAMA
, Dr. Abdurakhman, S.Si., M.Si.
author_facet , BONDRA UJI PRATAMA
, Dr. Abdurakhman, S.Si., M.Si.
author_sort , BONDRA UJI PRATAMA
collection UGM
description Quantitative risk measurement can be calculated using Value at Risk (VaR) method. Usually, we use VaR with Student-t distribution to estimate the maximum potential loss of leptokurtic data. This VaR Student-t is constant. In this paper, we employ VaR Student-t with EGARCH Student's-t model to estimate the maximum potential loss of heteroscedasticity and leverage effect data in order to obtain more accurate estimation than VaR Student-t. Backtesting methods used to measure the accuracy of the VaR are the Kupiec test. The Kupiec test stated that VaR Student-t with EGARCH was suitable for estimating the maximum potential loss of the PT WIKA�s stock data in December 3rd 2012 to January 31th 2014. This was shown by the results of the next 20 periods VaR forecasts that was capable for covering some forthcoming losses.
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institution Universiti Gadjah Mada
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spelling oai:generic.eprints.org:1334212016-03-04T07:53:21Z https://repository.ugm.ac.id/133421/ ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T , BONDRA UJI PRATAMA , Dr. Abdurakhman, S.Si., M.Si. ETD Quantitative risk measurement can be calculated using Value at Risk (VaR) method. Usually, we use VaR with Student-t distribution to estimate the maximum potential loss of leptokurtic data. This VaR Student-t is constant. In this paper, we employ VaR Student-t with EGARCH Student's-t model to estimate the maximum potential loss of heteroscedasticity and leverage effect data in order to obtain more accurate estimation than VaR Student-t. Backtesting methods used to measure the accuracy of the VaR are the Kupiec test. The Kupiec test stated that VaR Student-t with EGARCH was suitable for estimating the maximum potential loss of the PT WIKA�s stock data in December 3rd 2012 to January 31th 2014. This was shown by the results of the next 20 periods VaR forecasts that was capable for covering some forthcoming losses. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , BONDRA UJI PRATAMA and , Dr. Abdurakhman, S.Si., M.Si. (2014) ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74084
spellingShingle ETD
, BONDRA UJI PRATAMA
, Dr. Abdurakhman, S.Si., M.Si.
ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T
title ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T
title_full ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T
title_fullStr ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T
title_full_unstemmed ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T
title_short ESTIMASI VALUE AT RISK (VaR) UNTUK MODEL EXPONENTIAL GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (EGARCH) DENGAN DISTRIBUSI STUDENT-T
title_sort estimasi value at risk var untuk model exponential generalized autoregressive conditional heteroscedasticity egarch dengan distribusi student t
topic ETD
work_keys_str_mv AT bondraujipratama estimasivalueatriskvaruntukmodelexponentialgeneralizedautoregressiveconditionalheteroscedasticityegarchdengandistribusistudentt
AT drabdurakhmanssimsi estimasivalueatriskvaruntukmodelexponentialgeneralizedautoregressiveconditionalheteroscedasticityegarchdengandistribusistudentt