We show through extensive Monte Carlo simulations that structural breaks in volatility (volatility shifts) across two independently generated return series cause spurious volatility transmission when estimated with popular bivariate GARCH models. However, using a dummy variable for the induced volatility shift virtually eliminates this bias. We also show that structural breaks in volatility have a substantial impact on the estimated hedge ratios. We confirm our simulation findings using the US stock market data.
Do structural breaks in volatility cause spurious volatility transmission?
Caporin M.Membro del Collaboration Group
;
2020
Abstract
We show through extensive Monte Carlo simulations that structural breaks in volatility (volatility shifts) across two independently generated return series cause spurious volatility transmission when estimated with popular bivariate GARCH models. However, using a dummy variable for the induced volatility shift virtually eliminates this bias. We also show that structural breaks in volatility have a substantial impact on the estimated hedge ratios. We confirm our simulation findings using the US stock market data.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
2020_CaporinMalik_JEMPFIN.pdf
non disponibili
Descrizione: Versione dell'editore
Tipologia:
Published (publisher's version)
Licenza:
Accesso privato - non pubblico
Dimensione
488.74 kB
Formato
Adobe PDF
|
488.74 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
2020_CaporinMalik_JEMPFIN_PrePrint.pdf
accesso aperto
Descrizione: Documento in pre-print
Tipologia:
Preprint (submitted version)
Licenza:
Creative commons
Dimensione
865.63 kB
Formato
Adobe PDF
|
865.63 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.