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Description
  • Mutual dependence of business cycles is not easy traceable in the tangle of interconnected economic relationships. The small and open Slovak economy is dependent on the performance of its main trading partners and thus faces the fluctuations of the global economy. For managers and economic policy makers it is crucial to interpret different signals from various segments of the economy for their decisions about future activities. That information is currently available in immense quantity. An artificial intelligence tool – genetic programming – can exploit the huge amount of available data and find patterns of associations between the Slovak economy and foreign economies. Symbolic regression via genetic programming is used. The individual time series and their combinations are optimized for best fit and optimal lead against the Slovak economy. Such leading indicators are used for forecasting of the Slovak economy in the structure of a VAR model. The forecasting ability is tested and compared to a proxy AR model. The forecasts of the VAR model using current-optimal leading indicators show advanced quality compared to the proxy model.
  • Mutual dependence of business cycles is not easy traceable in the tangle of interconnected economic relationships. The small and open Slovak economy is dependent on the performance of its main trading partners and thus faces the fluctuations of the global economy. For managers and economic policy makers it is crucial to interpret different signals from various segments of the economy for their decisions about future activities. That information is currently available in immense quantity. An artificial intelligence tool – genetic programming – can exploit the huge amount of available data and find patterns of associations between the Slovak economy and foreign economies. Symbolic regression via genetic programming is used. The individual time series and their combinations are optimized for best fit and optimal lead against the Slovak economy. Such leading indicators are used for forecasting of the Slovak economy in the structure of a VAR model. The forecasting ability is tested and compared to a proxy AR model. The forecasts of the VAR model using current-optimal leading indicators show advanced quality compared to the proxy model. (en)
Title
  • VAR Model with Current-Optimal Leading Indicators
  • VAR Model with Current-Optimal Leading Indicators (en)
skos:prefLabel
  • VAR Model with Current-Optimal Leading Indicators
  • VAR Model with Current-Optimal Leading Indicators (en)
skos:notation
  • RIV/61989100:27510/12:86083202!RIV14-MSM-27510___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Kľúčik, Miroslav
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 176968
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/12:86083202
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • business cycle, leading indicators, VAR model, genetic programming, symbolic regression (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9DE1DA663E82]
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...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kľúčik, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000316715900070
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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