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  • With respect to ever-changing conditions at the market, regulators of financial markets ask financial institutions to test the performance of risk models (e.g. VaR, cVaR) regularly. A common way how to assess the quality of the model is to run the so called backtesting procedure. It involves several tests, such as Kupiec test, several tests due to Christoferssen or Haas test. In this contribution we specifically focus on comparison of NIG model, a representative of Lévy models, and (filtered) historical simulation accompanied with GARCH-type variance process. The results obtained on time series of S&P 500 since 1950 show us important similarities of NIG model and approach based on filtered historical simulation, though the former seems to be more stable for various probability levels.
  • With respect to ever-changing conditions at the market, regulators of financial markets ask financial institutions to test the performance of risk models (e.g. VaR, cVaR) regularly. A common way how to assess the quality of the model is to run the so called backtesting procedure. It involves several tests, such as Kupiec test, several tests due to Christoferssen or Haas test. In this contribution we specifically focus on comparison of NIG model, a representative of Lévy models, and (filtered) historical simulation accompanied with GARCH-type variance process. The results obtained on time series of S&P 500 since 1950 show us important similarities of NIG model and approach based on filtered historical simulation, though the former seems to be more stable for various probability levels. (en)
Title
  • Some additional results on single position backtesting
  • Some additional results on single position backtesting (en)
skos:prefLabel
  • Some additional results on single position backtesting
  • Some additional results on single position backtesting (en)
skos:notation
  • RIV/61989100:27510/13:86086860!RIV14-GA0-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(EE2.3.30.0016), P(GP13-18300P), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 106298
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/13:86086860
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Monte Carlo simulation, historical simulation, GARCH, NIG model, VaR (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4443340C2A83]
http://linked.open...v/mistoKonaniAkce
  • Zlín
http://linked.open...i/riv/mistoVydani
  • Zlín
http://linked.open...i/riv/nazevZdroje
  • Finance and the Performance of Firms in Science, Education and Practice : proceedings of the 6th international scientific conference : April 25-26, 2013, Zlín, Czech Republic
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kresta, Aleš
  • Tichý, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita Tomáše Bati ve Zlíně
https://schema.org/isbn
  • 978-80-7454-246-6
http://localhost/t...ganizacniJednotka
  • 27510
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