The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)

In the finance sector, in general, a single VaR method is used for one single portfolio or for all similar portfolios and it hampers the opportunity for comparison. Such shortcoming deriving from trusting one single VaR method results in very incoherent results for the analysis as well as in untrust...

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Main Author: Ilhami KARAHANOGLU
Format: Article
Language:English
Published: Alexandru Ioan Cuza University of Iasi 2020-11-01
Series:Eastern Journal of European Studies
Subjects:
evt
Online Access:https://ejes.uaic.ro/articles/EJES2020_1102_KAR.pdf
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spelling doaj-e965b31c71be4663a9cd02d0c9aae6bc2021-01-08T13:57:26ZengAlexandru Ioan Cuza University of IasiEastern Journal of European Studies2068-651X2068-66332020-11-01112160181The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)Ilhami KARAHANOGLUIn the finance sector, in general, a single VaR method is used for one single portfolio or for all similar portfolios and it hampers the opportunity for comparison. Such shortcoming deriving from trusting one single VaR method results in very incoherent results for the analysis as well as in untrustable transactions based upon those risk estimations. In order to overcome that, similar investments tools/portfolios should be analysed simultaneously by different VaR methods for comparison. Considering such overcome, this study is aimed to compare the VaR (value at risk) estimation methodologies for all 5 separated portfolios (which are similar considering their liquidity and investment process) holding USD, EUR, GOLD, BIST100 Index (Istanbul Stock Exchange Index) and BITCOIN considering their daily return on TRL (Turkish Lira). For performance measurement of different methodologies listed namely as extreme value VaR (GRPD-gnadenko theorem), ewma based volatility filtered historical simulation, historical simulation, delta normal, and bootstrapping; the 3 backtesting procedures and the related statistics are used. https://ejes.uaic.ro/articles/EJES2020_1102_KAR.pdfhistorical vardelta normal varevtvar backtestingbitcoin
collection DOAJ
language English
format Article
sources DOAJ
author Ilhami KARAHANOGLU
spellingShingle Ilhami KARAHANOGLU
The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)
Eastern Journal of European Studies
historical var
delta normal var
evt
var backtesting
bitcoin
author_facet Ilhami KARAHANOGLU
author_sort Ilhami KARAHANOGLU
title The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)
title_short The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)
title_full The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)
title_fullStr The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)
title_full_unstemmed The VaR comparison of the fresh investment tool-BITCOIN with other conventional investment tools, gold, stock exchange (BIST100) and foreign currencies (EUR/USD vs TRL)
title_sort var comparison of the fresh investment tool-bitcoin with other conventional investment tools, gold, stock exchange (bist100) and foreign currencies (eur/usd vs trl)
publisher Alexandru Ioan Cuza University of Iasi
series Eastern Journal of European Studies
issn 2068-651X
2068-6633
publishDate 2020-11-01
description In the finance sector, in general, a single VaR method is used for one single portfolio or for all similar portfolios and it hampers the opportunity for comparison. Such shortcoming deriving from trusting one single VaR method results in very incoherent results for the analysis as well as in untrustable transactions based upon those risk estimations. In order to overcome that, similar investments tools/portfolios should be analysed simultaneously by different VaR methods for comparison. Considering such overcome, this study is aimed to compare the VaR (value at risk) estimation methodologies for all 5 separated portfolios (which are similar considering their liquidity and investment process) holding USD, EUR, GOLD, BIST100 Index (Istanbul Stock Exchange Index) and BITCOIN considering their daily return on TRL (Turkish Lira). For performance measurement of different methodologies listed namely as extreme value VaR (GRPD-gnadenko theorem), ewma based volatility filtered historical simulation, historical simulation, delta normal, and bootstrapping; the 3 backtesting procedures and the related statistics are used.
topic historical var
delta normal var
evt
var backtesting
bitcoin
url https://ejes.uaic.ro/articles/EJES2020_1102_KAR.pdf
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