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  • Financial markets are very sensitive to all kinds of risk. Immediately after any unexpected announcement the volatility of price returns is suddenly increased and market prices can potentially fall down. However, the announcement can influence prices of only some assets, while prices of others may remain relatively stable. It follows that a different risk type indicates a need for distinct methods of risk modelling, measuring and managing. In this paper we continue in our previous research and try to identify if there is any similarity in risk estimation model performance across particular world FX rate markets and provide the most important findings about the (dis)similarities with special attention to (former) transitional economies of Europe and Asia-Pacific regions. In particular, we apply VG and NIG models of marginal distribution for VaR calculation and backtesting and use JPY and USD currencies as examples of global FX rates with potentially low tights to the regional evolution. We show some interesting results about the impact of specific information arrival.
  • Financial markets are very sensitive to all kinds of risk. Immediately after any unexpected announcement the volatility of price returns is suddenly increased and market prices can potentially fall down. However, the announcement can influence prices of only some assets, while prices of others may remain relatively stable. It follows that a different risk type indicates a need for distinct methods of risk modelling, measuring and managing. In this paper we continue in our previous research and try to identify if there is any similarity in risk estimation model performance across particular world FX rate markets and provide the most important findings about the (dis)similarities with special attention to (former) transitional economies of Europe and Asia-Pacific regions. In particular, we apply VG and NIG models of marginal distribution for VaR calculation and backtesting and use JPY and USD currencies as examples of global FX rates with potentially low tights to the regional evolution. We show some interesting results about the impact of specific information arrival. (en)
Title
  • Some findings about risk estimation and backtesting at the world FX rate market
  • Some findings about risk estimation and backtesting at the world FX rate market (en)
skos:prefLabel
  • Some findings about risk estimation and backtesting at the world FX rate market
  • Some findings about risk estimation and backtesting at the world FX rate market (en)
skos:notation
  • RIV/61989100:27510/12:86083109!RIV14-MSM-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 169206
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/12:86083109
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Backtesting, FX rate market, information arrival, Lévy models (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F004A43055B2]
http://linked.open...v/mistoKonaniAkce
  • Karviná
http://linked.open...i/riv/mistoVydani
  • Opava
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 30th International Conference Mathematical Methods in Economics : 11-13 September 2012, Karviná, 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
  • Tichý, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000317528600069
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Slezská univerzita v Opavě
https://schema.org/isbn
  • 978-80-7248-779-0
http://localhost/t...ganizacniJednotka
  • 27510
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