Bootstrap historical simulation

In this paper the authors present a new VaR model for the estimation of market risk in banks and other financial institutions. The model is labeled BootstrapHS500, since it is theoretically based on historical simulation and implementation of the bootstrap method. The aim of the paper is to provide...

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Main Authors: Radivojević Nikola, Dević Željko, Muhović Almir
Format: Article
Language:English
Published: Association of Serbian Banks 2016-01-01
Series:Bankarstvo
Subjects:
Online Access:http://scindeks-clanci.ceon.rs/data/pdf/1451-4354/2016/1451-43541603036R.pdf
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spelling doaj-9cd27c147400409cadfef27a3302a24a2020-11-24T22:01:10ZengAssociation of Serbian BanksBankarstvo1451-43542466-54952016-01-01453364910.5937/bankarstvo1603036R1451-43541603036RBootstrap historical simulationRadivojević Nikola0Dević Željko1Muhović Almir2Visoka tehnička škola strukovnih studija, KragujevacVisoka ekonomska škola strukovnih studija, Peć u LeposavićuUniverzitet Union Nikola Tesla, BeogradIn this paper the authors present a new VaR model for the estimation of market risk in banks and other financial institutions. The model is labeled BootstrapHS500, since it is theoretically based on historical simulation and implementation of the bootstrap method. The aim of the paper is to provide answers to the question whether incorporating the bootstrap method in the standard model of historical simulation contributes to the improvement of the historical simulation's applicability in terms of meeting the backtesting rules of the Basel II standards. In order to obtain the answer to this question, in this paper we conducted and dealt with the testing of applicability and comparison of performances of the HS500 and the BootstrapHS500 models at the capital markets of Serbia, Croatia, Greece, Spain, Germany, Slovakia, the Czech Republic, Romania and Hungary. The research methodology involves the use of the appropriate quantitative analysis and tests of unconditional and conditional coverage. The results of the research show that the BootstrapHS500 model achieved a better performance than the standard model of historical simulation, from the perspective of both backtesting tests. It can be concluded that incorporating the bootstrap method in the standard model of historical simulation contributes to the improvement of the historical simulation' applicability.http://scindeks-clanci.ceon.rs/data/pdf/1451-4354/2016/1451-43541603036R.pdfValue at Riskhistorical simulationbootstrap methodmarket risk
collection DOAJ
language English
format Article
sources DOAJ
author Radivojević Nikola
Dević Željko
Muhović Almir
spellingShingle Radivojević Nikola
Dević Željko
Muhović Almir
Bootstrap historical simulation
Bankarstvo
Value at Risk
historical simulation
bootstrap method
market risk
author_facet Radivojević Nikola
Dević Željko
Muhović Almir
author_sort Radivojević Nikola
title Bootstrap historical simulation
title_short Bootstrap historical simulation
title_full Bootstrap historical simulation
title_fullStr Bootstrap historical simulation
title_full_unstemmed Bootstrap historical simulation
title_sort bootstrap historical simulation
publisher Association of Serbian Banks
series Bankarstvo
issn 1451-4354
2466-5495
publishDate 2016-01-01
description In this paper the authors present a new VaR model for the estimation of market risk in banks and other financial institutions. The model is labeled BootstrapHS500, since it is theoretically based on historical simulation and implementation of the bootstrap method. The aim of the paper is to provide answers to the question whether incorporating the bootstrap method in the standard model of historical simulation contributes to the improvement of the historical simulation's applicability in terms of meeting the backtesting rules of the Basel II standards. In order to obtain the answer to this question, in this paper we conducted and dealt with the testing of applicability and comparison of performances of the HS500 and the BootstrapHS500 models at the capital markets of Serbia, Croatia, Greece, Spain, Germany, Slovakia, the Czech Republic, Romania and Hungary. The research methodology involves the use of the appropriate quantitative analysis and tests of unconditional and conditional coverage. The results of the research show that the BootstrapHS500 model achieved a better performance than the standard model of historical simulation, from the perspective of both backtesting tests. It can be concluded that incorporating the bootstrap method in the standard model of historical simulation contributes to the improvement of the historical simulation' applicability.
topic Value at Risk
historical simulation
bootstrap method
market risk
url http://scindeks-clanci.ceon.rs/data/pdf/1451-4354/2016/1451-43541603036R.pdf
work_keys_str_mv AT radivojevicnikola bootstraphistoricalsimulation
AT deviczeljko bootstraphistoricalsimulation
AT muhovicalmir bootstraphistoricalsimulation
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