Arbeitspapier
From zero to hero: Realized partial (co)variances
This paper proposes a generalization of the class of realized semivariance and semicovariance measures introduced by Barndorff-Nielsen, Kinnebrock and Shephard (2010) and Bollerslev, Li, Patton and Quaedvlieg (2020a) to allow for a finer decomposition of realized (co)variances. The new "realized partial (co)variances" allow for multiple thresholds with various locations, rather than the single fixed threshold of zero used in semi (co)variances. We adopt methods from machine learning to choose the thresholds to maximize the out-ofsample forecast performance of time series models based on realized partial (co)variances. We find that in low dimensional settings it is hard, but not impossible, to improve upon the simple fixed threshold of zero. In large dimensions, however, the zero threshold embedded in realized semi covariances emerges as a robust choice.
- Sprache
-
Englisch
- Erschienen in
-
Series: Texto para discussão ; No. 672
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Construction and Estimation
Forecasting Models; Simulation Methods
Financial Econometrics
- Thema
-
High-frequency data
realized variation
volatility forecasting
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Bollerslev, Tim
Medeiros, Marcelo C.
Patton, Andrew J.
Quaedvlieg, Rogier
- Ereignis
-
Veröffentlichung
- (wer)
-
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia
- (wo)
-
Rio de Janeiro
- (wann)
-
2021
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Bollerslev, Tim
- Medeiros, Marcelo C.
- Patton, Andrew J.
- Quaedvlieg, Rogier
- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia
Entstanden
- 2021