About: On Conditional Volatility Model Comparison     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Volatility can be defined and measured as a risk of financial instrument over a specified time period. In this paper, we deal with volatility model selection and comparison in a specific framework. In particular, univariate volatility models like traditional ARCH model and its extensions will be object of our interest. Selection of the best suitable model may be usually based on in-sample or out-of-sample criteria. In empirical studies, we usually favour model that can capture real features of the data analysed and, in addition, can provide the most accurate out-of-sample forecast quality. In this paper, we focus just on out-of-sample comparison of linear and nonlinear ARCH family models which may follow two different approaches. In first approach, alternative models are contrasted by different loss functions based directly on variance forecast and Diebold-Mariano type tests. The second approach includes indirect evaluation methods which conside r using of alternative variance forecasts. In our study, we deal with the evaluation of alternative ARCH family models within a VaR framework. Empirical comparison of the methods discussed above will be demonstrated on illustrative example using sample data from U.S. stock market. We consider daily data of S&P500 index in the period of 2007-2012 years which includes the stage of recent global financial crisis of 2008-2009 years.
  • Volatility can be defined and measured as a risk of financial instrument over a specified time period. In this paper, we deal with volatility model selection and comparison in a specific framework. In particular, univariate volatility models like traditional ARCH model and its extensions will be object of our interest. Selection of the best suitable model may be usually based on in-sample or out-of-sample criteria. In empirical studies, we usually favour model that can capture real features of the data analysed and, in addition, can provide the most accurate out-of-sample forecast quality. In this paper, we focus just on out-of-sample comparison of linear and nonlinear ARCH family models which may follow two different approaches. In first approach, alternative models are contrasted by different loss functions based directly on variance forecast and Diebold-Mariano type tests. The second approach includes indirect evaluation methods which conside r using of alternative variance forecasts. In our study, we deal with the evaluation of alternative ARCH family models within a VaR framework. Empirical comparison of the methods discussed above will be demonstrated on illustrative example using sample data from U.S. stock market. We consider daily data of S&P500 index in the period of 2007-2012 years which includes the stage of recent global financial crisis of 2008-2009 years. (en)
Title
  • On Conditional Volatility Model Comparison
  • On Conditional Volatility Model Comparison (en)
skos:prefLabel
  • On Conditional Volatility Model Comparison
  • On Conditional Volatility Model Comparison (en)
skos:notation
  • RIV/61989100:27510/13:86086782!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
  • 93671
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/13:86086782
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • conditional volatility, Diebold-Mariano test, MCS approach, out-of-sample forecast, VaR (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6662967331C6]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Slaný
http://linked.open...i/riv/nazevZdroje
  • The 7th International Days of Statistics and Economics : conference proceedings : September 19-21, 2013, Prague, 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
  • Seďa, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000339103100124
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Melandrium
https://schema.org/isbn
  • 978-80-86175-87-4
http://localhost/t...ganizacniJednotka
  • 27510
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software