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  • This paper deals with heterogeneous autoregressive models of realized volatility (HAR-RV models) on high-frequency data of stock indices in the USA. Its aim is to capture the behavior of three groups of market participants trading on a daily, weekly and monthly basis and assess their role in predicting the daily realized volatility. The benefits of this work lies mainly in the application of heterogeneous autoregressive models of realized volatility on stock indices in the USA with a special aim to analyze an impact of the global financial crisis on applied models forecasting performance. We use three data sets, the first one from the period before the global financial crisis occurred in the years 2006-2007, the second one from the period when the global financial crisis fully hit the U.S. financial market in 2008-2009 years, and the last period was defined over 2010-2011 years. The model output indicates that estimated realized volatility in the market is very much determined by daily traders and in some cases excludes the impact of those market participants who trade on monthly basis.
  • This paper deals with heterogeneous autoregressive models of realized volatility (HAR-RV models) on high-frequency data of stock indices in the USA. Its aim is to capture the behavior of three groups of market participants trading on a daily, weekly and monthly basis and assess their role in predicting the daily realized volatility. The benefits of this work lies mainly in the application of heterogeneous autoregressive models of realized volatility on stock indices in the USA with a special aim to analyze an impact of the global financial crisis on applied models forecasting performance. We use three data sets, the first one from the period before the global financial crisis occurred in the years 2006-2007, the second one from the period when the global financial crisis fully hit the U.S. financial market in 2008-2009 years, and the last period was defined over 2010-2011 years. The model output indicates that estimated realized volatility in the market is very much determined by daily traders and in some cases excludes the impact of those market participants who trade on monthly basis. (en)
Title
  • PERFORMANCE OF HETEROGENEOUS AUTOREGRESSIVE MODELS OF REALIZED VOLATILITY: EVIDENCE FROM U.S. STOCK MARKET
  • PERFORMANCE OF HETEROGENEOUS AUTOREGRESSIVE MODELS OF REALIZED VOLATILITY: EVIDENCE FROM U.S. STOCK MARKET (en)
skos:prefLabel
  • PERFORMANCE OF HETEROGENEOUS AUTOREGRESSIVE MODELS OF REALIZED VOLATILITY: EVIDENCE FROM U.S. STOCK MARKET
  • PERFORMANCE OF HETEROGENEOUS AUTOREGRESSIVE MODELS OF REALIZED VOLATILITY: EVIDENCE FROM U.S. STOCK MARKET (en)
skos:notation
  • RIV/61989100:27510/12:86082820!RIV15-MSM-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • prosinec
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
  • 158206
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/12:86082820
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • global financial crisis, heterogeneous autoregressive model, in-sample forecast, realized volatility, U.S. stock market (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [FBDFBE81F782]
http://linked.open...i/riv/nazevZdroje
  • World Academy of Science, Engineering and Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 72
http://linked.open...iv/tvurceVysledku
  • Seďa, Petr
issn
  • 2010-376X
number of pages
http://localhost/t...ganizacniJednotka
  • 27510
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