Isbn: 9783631621875 - forecasting economic time series using locally stationary processes: a new approach with applications (volkswirtschaftliche analysen, band 19) (1 Ergebnisse)

ISBN
Mit der Detailsuche verfeinern

Optimieren Sie Ihre Suche

  • Bücher (1)

  • Neu (1)

bis

Benutzerdefinierte Preisspanne (EUR)

bis

    • Sprache: Englisch

      Verlag: Peter Lang, 2012

      3631621876 / 9783631621875

      • Hardcover

      Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 43,60

      EUR 61,52 Versand 
      Versand von Deutschland nach USA

      Anzahl: 1 verfügbar

      Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stationarity has always played an important part in forecasting theory. However, some economic time series show time-varying autocovariances. The question arises whether forecasts can be improved using models that capture such a time-varying second-order structure. One possibility is given by autoregressive models with time-varying parameters. The author focuses on the development of a forecasting procedure for these processes and compares this approach to classical forecasting methods by means of Monte Carlo simulations. An evaluation of the proposed procedure is given by its application to futures prices and the Dow Jones index. The approach turns out to be superior to the classical methods if the sample sizes are large and the forecasting horizons do not range too far into the future.