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Examining the evidence of risk spillovers between Shanghai and London non-ferrous futures markets: a dynamic Copula-CoVaR approach

Hong Shen (School of Business, Yangzhou University, Yangzhou, China)
Yue Tang (School of Business, Yangzhou University, Yangzhou, China)
Ying Xing (School of Business, Yangzhou University, Yangzhou, China)
Pin Ng (Economics, WA Franke College of Business, Northern Arizona University, Flagstaff, Arizona, USA)

International Journal of Emerging Markets

ISSN: 1746-8809

Article publication date: 20 October 2020

Issue publication date: 7 July 2021

344

Abstract

Purpose

This paper aims to examine the evidence of risk spillovers between Shanghai and London non-ferrous futures markets using a dynamic Copula-CoVaR approach.

Design/methodology/approach

With daily data, the marginal distributions and optimal Copula functions are determined using the kernel estimation method and squared Euclidean distance test. The conditional value-at-risk and the conditional value-at-risk spillover rate are computed from the Copula estimated parameters based on the Copula-CoVaR model. Also, the dynamic correlation coefficient between the two futures markets is investigated.

Findings

The empirical results are as follows: overall, the risk spillover effect exerted by the London Metal Exchange on the Shanghai Futures Exchange is more significant than vice versa. Moreover, the degree of risk spillovers exerted by the London Metal Exchange on the Shanghai Futures Exchange for zinc and copper are more significant when they are depressed in the London Metal Exchange. Moreover, the dynamic of the correlation between the Shanghai and London futures markets is attributed to be largely due to changes in the global economy.

Research limitations/implications

The Copula-CoVaR model used in this paper is suitable for measuring the risk spillovers between two different markets, while the risk spillovers across multiple markets or the consideration of multiple risk factors cannot be accurately captured using this framework. Multiple state variables to capture time variation in the conditional moments of return series will be a topic in future research.

Practical implications

The results provide theoretical support for risk management and monitoring of the non-ferrous futures markets.

Originality/value

The ability of the Copula function to accurately describe a nonlinear relationship and tail correlation is harnessed to measure the risk spillovers, explore the degree and direction of risk spillovers and identify the source of risk spillovers. The global economy is incorporated as a macro factor to explore its inner connection with the dynamic of risk spillovers in the non-ferrous metal futures market.

Keywords

Acknowledgements

The authors would like to acknowledge the financial support provided by the National Natural Science Foundation of China (grant no.61803331) and the Jiangsu Natural Science Foundation (BK20170515)

Citation

Shen, H., Tang, Y., Xing, Y. and Ng, P. (2021), "Examining the evidence of risk spillovers between Shanghai and London non-ferrous futures markets: a dynamic Copula-CoVaR approach", International Journal of Emerging Markets, Vol. 16 No. 5, pp. 929-945. https://doi.org/10.1108/IJOEM-04-2020-0355

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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