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Estimation in Conditionally Heteroscedastic Time Series Models

Om Estimation in Conditionally Heteroscedastic Time Series Models

Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783540211358
  • Format:
  • Häftad
  • Sidor:
  • 228
  • Utgiven:
  • 19. november 2004
  • Utgåva:
  • 2005
  • Mått:
  • 155x235x13 mm.
  • Vikt:
  • 780 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 2. december 2024

Beskrivning av Estimation in Conditionally Heteroscedastic Time Series Models

Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data.

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