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Autor(en): 
  • Dunis
  • Ping Zhou
  • Nonlinear Modelling of High Frequency Financial Time Series 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  1998  
    Genre:  Wirtschaft / Recht 
    ISBN:  9780471974642 
    EAN-Code: 
    9780471974642 
    Verlag:  John Wiley & Sons, Inc. 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 24 mm 
    Gewicht:  664 gr 
    Seiten:  336 
    Zus. Info:  9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Nonlinear Modelling of High Frequency Financial Time Series Edited by Christian Dunis and Bin Zhou In the competitive and risky environment of today's financial markets, daily prices and models based upon low frequency price series data do not provide the level of accuracy required by traders and a growing number of risk managers. To improve results, more and more researchers and practitioners are turning to high frequency data. Nonlinear Modelling of High Frequency Financial Time Series presents the latest developments and views of leading international researchers and market practitioners, in modelling high frequency data in finance. Combining both nonlinear modelling and intraday data for financial markets, the editors provide a fascinating foray into this extremely popular discipline. This book evolves around four major themes. The first introductory section focuses on high frequency financial data. The second part examines the exact nature of the time series considered: several linearity tests are presented and applied and their modelling implications assessed. The third and fourth parts are dedicated to modelling and forecasting these financial time series.

      



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