Asymmetric and time-frequency spillovers among commodities using high-frequency data

In this study, we examine the asymmetric short- and long-run spillover among commodities using realized variances and realized semivariances calculated through 5-min trading data of commodity futures. In doing so, we apply time and frequency domain generalized error variance decomposition approaches...

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Bibliographic Details
Published in:Resources policy 2021-03, Vol.70, p.101958, Article 101958
Main Authors: Caporin, Massimiliano, Naeem, Muhammad Abubakr, Arif, Muhammad, Hasan, Mudassar, Vo, Xuan Vinh, Hussain Shahzad, Syed Jawad
Format: Article
Language:English
Subjects:
Asymmetric volatility
Asymmetry
Clustering
Commodities
Commodity connectedness
Commodity futures
Connectedness
Frequency domain analysis
High-frequency data
Investors
Policy making
Time
Time-frequency domain
Trading
Volatility
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Summary:In this study, we examine the asymmetric short- and long-run spillover among commodities using realized variances and realized semivariances calculated through 5-min trading data of commodity futures. In doing so, we apply time and frequency domain generalized error variance decomposition approaches and build a network of commodity connectedness. Our findings indicate low inter-group connectedness, distinct group clustering, and high intragroup network-based connectedness in realized volatilities of sample commodities. We find more pronounced inter- and intra-group volatility connectedness for negative realized volatilities than positive ones. Besides, we show that volatility connectedness is a long-run phenomenon. Additionally, the time-varying net directional spillover connectedness reveals that the bad volatility connectedness dictates the good volatility connectedness for the total sample as well as for various frequency domains, both in terms of magnitude and length of time. The implications for investors and policymakers are discussed. •Asymmetric short- and long-run spillover among commodities volatilities.•5-min trading data of commodity futures and frequency domain GFEVD.•Low inter-group, high intragroup network-based connectedness.•Pronounced inter- and intra-group volatility connectedness for negative realized volatilities.•Volatility connectedness is a long-run phenomenon.
ISSN:0301-4207
1873-7641
DOI:10.1016/j.resourpol.2020.101958