Exploring the time and frequency domain connectedness of oil prices and metal prices
By Zaghum Umar, S. Nasreen, Sakiru Adebola Solarin, Aviral Kumar Tiwari. 2019
70 citations recorded by the source corpus.
Abstract This paper explores the time and frequency domain connectedness between oil prices and metal prices for the period of 1980M1-2017M5. We employ DECO-GARCH model for equi-correlation among commodity under consideration, Diebold and Yilmaz (2014), for time domain, and Barunik and Krehlik (2017), for frequency domain (i.e., frequencies considered are: 1–4 months, 4–8 months, 8–15 months and more than 15 months) connectedness measures. The dynamic connectedness is examined by applying a rolling window method in time and frequency domain. Besides, network plots are also made based on the pair-wise net connectedness between the variables. The results for time domain analysis show that the overall connectedness of the system has been just 3.39%. The empirical results of frequency domain connectedness show that total connectedness varies at different frequencies. The maximum contribution is observed at short-term frequency, (1–4 months; 1.65%) and the lowest contribution at medium-term frequency (8–15 months; 0.45%.). The contribution from the highest frequency, which corresponds to more than 15 months’ period, is just 0.56%. The network analysis shows that Zinc is net receiver.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/21b84d1a1f2486b399dacb67d5179e696ba3f06e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets (2020, background): “…markets have been attracting a vast esearch interest from the point of view of contagion, adversely mpacting portfolio risk management, strategic asset allocation, nd financial instruments pricing (Baumohl, 2019; Kristjanpoller nd Bouri, 2019; Malik and Umar, 2019; Celeste et al., 2020).”