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  • Model selection and model comparison of the second moment of a given random variable has been widely discussed topic in financial econometrics for many years. In this paper, we focus on model comparison and model selection taking in consideration univariate conditional volatility models. The aim of this paper is to provide comparison of linear and nonlinear ARCH family models based on out-of-sample forecast using two different approaches. In first approach, alternative volatility models are compared by different loss functions based directly on variance forecast and respective Diebold-Mariano type tests. The comparison of models based on Diebold-Mariano test is limited since it allows pairwise comparison only. Therefore, the model confidence set (MCS) technique will be utilized as well. The second approach is relatively new and includes indirect evaluation methods which consider using of alternative variance forecasts, in particular a VaR framework. In order to illustrate application of both mentioned approaches, we consider daily data of WIG20 and PX indexes in the period of 2004-2012 years which also includes a period of recent global financial crisis of 2008-2009 years.
  • Model selection and model comparison of the second moment of a given random variable has been widely discussed topic in financial econometrics for many years. In this paper, we focus on model comparison and model selection taking in consideration univariate conditional volatility models. The aim of this paper is to provide comparison of linear and nonlinear ARCH family models based on out-of-sample forecast using two different approaches. In first approach, alternative volatility models are compared by different loss functions based directly on variance forecast and respective Diebold-Mariano type tests. The comparison of models based on Diebold-Mariano test is limited since it allows pairwise comparison only. Therefore, the model confidence set (MCS) technique will be utilized as well. The second approach is relatively new and includes indirect evaluation methods which consider using of alternative variance forecasts, in particular a VaR framework. In order to illustrate application of both mentioned approaches, we consider daily data of WIG20 and PX indexes in the period of 2004-2012 years which also includes a period of recent global financial crisis of 2008-2009 years. (en)
Title
  • Conditional Volatility Model Selection and Comparison: Ex-ample from Stock Markets
  • Conditional Volatility Model Selection and Comparison: Ex-ample from Stock Markets (en)
skos:prefLabel
  • Conditional Volatility Model Selection and Comparison: Ex-ample from Stock Markets
  • Conditional Volatility Model Selection and Comparison: Ex-ample from Stock Markets (en)
skos:notation
  • RIV/61989100:27510/14:86091664!RIV15-MSM-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(EE2.3.20.0296), P(GA13-13142S)
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
  • 8581
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/14:86091664
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GARCH, MCS approach, out-of-sample forecast, TGARCH, VaR (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D9473006D1FC]
http://linked.open...v/mistoKonaniAkce
  • Olomouc
http://linked.open...i/riv/mistoVydani
  • Olomouc
http://linked.open...i/riv/nazevZdroje
  • Mathematical Methods in Economics, MME 2014 : 32nd international conference : September 10-12, 2014, Olomouc, Czech Republic : conference proceedings
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
  • Seďa, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Univerzita Palackého v Olomouci
https://schema.org/isbn
  • 978-80-244-4209-9
http://localhost/t...ganizacniJednotka
  • 27510
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