HARNet: a convolutional neural network for realized volatility forecasting

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Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
CFS working paper series ; 680

Ereignis
Veröffentlichung
(wo)
Frankfurt am Main
(wer)
Universitätsbibliothek Johann Christian Senckenberg
(wann)
2022
Urheber
Reisenhofer, Rafael
Bayer, Xandro
Hautsch, Nikolaus

DOI
10.2139/ssrn.4116642
URN
urn:nbn:de:hebis:30:3-634416
Rechteinformation
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:43 MEZ

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Beteiligte

  • Reisenhofer, Rafael
  • Bayer, Xandro
  • Hautsch, Nikolaus
  • Universitätsbibliothek Johann Christian Senckenberg

Entstanden

  • 2022

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