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  • In literature, we can find many different smoothing and filter types that are based, for example, on the stochastic processes, kernel regression, integral or wavelet transforms, or on the techniques of the fuzzy set theory. These filters are regularly used in statistics and image or signal processing, to smooth a data set, i.e. to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. In this paper we apply a recently suggested filter based on the fuzzy transform technique for returns of financial assets. We study the performance of this alternative technique and compare it to more standard kernel-based approach.
  • In literature, we can find many different smoothing and filter types that are based, for example, on the stochastic processes, kernel regression, integral or wavelet transforms, or on the techniques of the fuzzy set theory. These filters are regularly used in statistics and image or signal processing, to smooth a data set, i.e. to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. In this paper we apply a recently suggested filter based on the fuzzy transform technique for returns of financial assets. We study the performance of this alternative technique and compare it to more standard kernel-based approach. (en)
Title
  • Smoothing of financial data by a filter based on fuzzy transform
  • Smoothing of financial data by a filter based on fuzzy transform (en)
skos:prefLabel
  • Smoothing of financial data by a filter based on fuzzy transform
  • Smoothing of financial data by a filter based on fuzzy transform (en)
skos:notation
  • RIV/61989100:27510/10:10225544!RIV11-GA0-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/08/1237), 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
  • 288028
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27510/10:10225544
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • fuzzy transform, fuzzy partition, Nadaraya-Watson estimator, kernel regression, noise reduction, financial returns (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6C0EDBD00A4F]
http://linked.open...v/mistoKonaniAkce
  • České Budějovice
http://linked.open...i/riv/mistoVydani
  • České Budějovice
http://linked.open...i/riv/nazevZdroje
  • Mathematical Methods in Economics 2010
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
  • Holčapek, Michal
  • Tichý, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000287979900042
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of South Bohemia
https://schema.org/isbn
  • 978-80-7394-218-2
http://localhost/t...ganizacniJednotka
  • 27510
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