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Time Series Technical Analysis via New Fast Estimation Methods: A Preliminary Study in Mathematical Finance

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  • Additional Information
    • Contributors:
      Laboratoire d'informatique de l'École polytechnique Palaiseau (LIX); École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS); Algebra for Digital Identification and Estimation (ALIEN); Inria Lille - Nord Europe; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Saclay - Ile de France; Institut National de Recherche en Informatique et en Automatique (Inria)-Centrale Lille-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS); Centre de Recherche en Automatique de Nancy (CRAN); Université Henri Poincaré - Nancy 1 (UHP)-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)
    • Publication Information:
      HAL CCSD
    • Publication Date:
      2008
    • Collection:
      Université de Lorraine: HAL
    • Subject Terms:
    • Abstract:
      International audience ; New fast estimation methods stemming from control theory lead to a fresh look at time series, which bears some resemblance to "technical analysis". The results are applied to a typical object of financial engineering, namely the forecast of foreign exchange rates, via a "model-free" setting, i.e., via repeated identifications of low order linear difference equations on sliding short time windows. Several convincing computer simulations, including the prediction of the position and of the volatility with respect to the forecasted trendline, are provided. $\mathcal{Z}$-transform and differential algebra are the main mathematical tools.
    • Relation:
      info:eu-repo/semantics/altIdentifier/arxiv/0811.1561; inria-00338099; https://inria.hal.science/inria-00338099; https://inria.hal.science/inria-00338099v2/document; https://inria.hal.science/inria-00338099v2/file/Coventry-Finance.pdf; ARXIV: 0811.1561
    • Online Access:
      https://inria.hal.science/inria-00338099
      https://inria.hal.science/inria-00338099v2/document
      https://inria.hal.science/inria-00338099v2/file/Coventry-Finance.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.91C88936