Arbeitspapier
Volatility term structure modeling using Nelson-Siegel model
Understanding of volatility term structure is highly relevant both for market agents and policymakers. As traditional methodologies often bring results contradicting situation on the markets, we revisit volatility term structure modeling in univariate case. In this paper we benefit from extensive high-frequency dataset of US Treasury futures prices allowing us to empirically inspect the behaviour of the respective realized volatility term structure. We believe that the discovered properties justify the application of multi-factor modeling techniques primarily developed for yield curves. Finally we develop the comprehensive methodology fitting empirical data efficiently by term structure decomposition using Nelson-Siegel class of models.
- Sprache
-
Englisch
- Erschienen in
-
Series: IES Working Paper ; No. 17/2018
- Klassifikation
-
Wirtschaft
- Thema
-
Realized volatility
Term structure
Dynamic Nelson-Siegel model
Highfrequency data
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Malinska, Barbora
Barunik, Jozef
- Ereignis
-
Veröffentlichung
- (wer)
-
Charles University in Prague, Institute of Economic Studies (IES)
- (wo)
-
Prague
- (wann)
-
2018
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Malinska, Barbora
- Barunik, Jozef
- Charles University in Prague, Institute of Economic Studies (IES)
Entstanden
- 2018
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