This paper employs univariate and bivariate GARCH models to examine the volatility of gold and oil futures incorporating structural breaks using daily returns from July 1, 1993 to June 30, 2010. We find strong evidence of significant transmission of volatility between gold and oil returns when structural breaks in variance are accounted for in the model. We compute optimal portfolio weights and dynamic risk minimizing hedge ratios to highlight the significance of our empirical results. Our findings support the idea of cross-market hedging and sharing of common information by financial market participants. © 2012 Elsevier Inc
This paper investigates the influence of oil demand, oil supply, and risk-driven shocks on the yield...
Motivated by the growing necessity of portfolio diversification, this paper investigates the dynamic...
This study investigates long run metals properties using the extended version of Mccown and Zimmerma...
© 2015 Elsevier Inc. This paper employs univariate and bivariate GARCH models to examine the volatil...
© 2017 Elsevier B.V. This paper shows that accounting for endogenously determined structural breaks ...
© 2019 Elsevier B.V. We show through extensive Monte Carlo simulations that structural breaks in vol...
© 2018 The University of New Orleans Recent evidence suggests shifts (structural breaks) in the vola...
We evaluate the role of gold and other precious metals relative to volatility (Volatility Index (VIX...
© 2013, Springer Science+Business Media New York. The literature on the fundamental relationship bet...
This research empirically evaluates the potential diversification benefits of Gold during the COVID-...
© 2019 This study examines the conditional correlation and the resulting optimal hedge ratios betwee...
© 2018 Elsevier Inc. This paper extends the study of price discovery and volatility transmission bet...
This study analyzes the relationship between oil shocks and the equity markets of a group of world m...
© 2018 Elsevier Inc. We show with simulations that inducing structural breaks in the volatility of r...
Using a time-varying spillover approach, we investigate volatility spillovers between natural altern...
This paper investigates the influence of oil demand, oil supply, and risk-driven shocks on the yield...
Motivated by the growing necessity of portfolio diversification, this paper investigates the dynamic...
This study investigates long run metals properties using the extended version of Mccown and Zimmerma...
© 2015 Elsevier Inc. This paper employs univariate and bivariate GARCH models to examine the volatil...
© 2017 Elsevier B.V. This paper shows that accounting for endogenously determined structural breaks ...
© 2019 Elsevier B.V. We show through extensive Monte Carlo simulations that structural breaks in vol...
© 2018 The University of New Orleans Recent evidence suggests shifts (structural breaks) in the vola...
We evaluate the role of gold and other precious metals relative to volatility (Volatility Index (VIX...
© 2013, Springer Science+Business Media New York. The literature on the fundamental relationship bet...
This research empirically evaluates the potential diversification benefits of Gold during the COVID-...
© 2019 This study examines the conditional correlation and the resulting optimal hedge ratios betwee...
© 2018 Elsevier Inc. This paper extends the study of price discovery and volatility transmission bet...
This study analyzes the relationship between oil shocks and the equity markets of a group of world m...
© 2018 Elsevier Inc. We show with simulations that inducing structural breaks in the volatility of r...
Using a time-varying spillover approach, we investigate volatility spillovers between natural altern...
This paper investigates the influence of oil demand, oil supply, and risk-driven shocks on the yield...
Motivated by the growing necessity of portfolio diversification, this paper investigates the dynamic...
This study investigates long run metals properties using the extended version of Mccown and Zimmerma...