The impact of jumps and leverage in forecasting the co-volatility of oil and gold futures
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Date
Authors
Asai, Manabu
Gupta, Rangan
McAleer, Michael
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI Publishing
Abstract
This paper investigates the impact of jumps in forecasting co-volatility in the presence of
leverage effects for daily crude oil and gold futures. We use a modified version of the jump-robust
covariance estimator of Koike (2016), such that the estimated matrix is positive definite. Using this
approach, we can disentangle the estimates of the integrated co-volatility matrix and jump variations
from the quadratic covariation matrix. Empirical results show that more than 80% of the co-volatility
of the two futures contains jump variations and that they have significant impacts on future
co-volatility but that the impact is negligible in forecasting weekly and monthly horizons.
Description
Keywords
Commodity markets, Co-volatility, Forecasting, Jump, Leverage effects, Realized covariance, Threshold estimation
Sustainable Development Goals
Citation
Asai, M., Gupta, R. & McAleer, M. 2019, 'The impact of jumps and leverage in forecasting the
co-volatility of oil and gold futures', Energies, vol. 12, art. 3379, pp. 1-17.