Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness
Mehrad Asadi,
David Roubaud and
Aviral Tiwari
Energy Economics, 2022, vol. 109, issue C
Abstract:
This paper inspects volatility connectedness across crude oil, natural gas, coal, stock, and currency markets in the US and China. To accomplish this objective, we deploy methodologies advocated by Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) through gathering daily data from 12/8/2008 to 12/18/2020. The evidence from this research suggests total connectedness among energy, stock, and currency markets is not high, and accordingly, contemporaneity of losses in these assets seems highly improbable. Other results reveal that the S&P500, WTI, natural gas, and the US dollar number are net receivers, while Shanghai stock, coal, and USD/CNY are net givers. Thus, we conclude that Shanghai stock, coal, and USD/CNY should not be used for portfolio diversification. Furthermore, total connectedness in the long run outperforms that of the short run, implying investors cannot follow the buy-and-hold approach on account of these assets' high long-term volatility. All in all, these outcomes are advantageous for authorities and investors to broaden their knowledge of how price volatility shocks in these energy markets translate to stock and currency markets.
Keywords: Fossil fuels, stock and currency; Diebold and Yilmaz connectedness; Frequency domain connectedness (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988322001372
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:109:y:2022:i:c:s0140988322001372
DOI: 10.1016/j.eneco.2022.105961
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().