Document Type

Article

Source of Publication

Journal of Empirical Finance

Publication Date

1-1-2020

Abstract

© 2019 Elsevier B.V. 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.

ISSN

0927-5398

Publisher

Elsevier B.V.

Volume

55

First Page

60

Last Page

82

Disciplines

Business

Keywords

GARCH, Structural breaks, Volatility

Scopus ID

85077738552

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

Included in

Business Commons

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