Abstract

PurposeThe purpose of this paper is to investigate the short‐run return and volatility spill‐overs across three major international copper futures markets: London Metal Exchange (LME), New York Mercantile Exchange (NYMEX), and Shanghai Futures Exchange (SHFE).Design/methodology/approachThe analysis utilizes a dynamic conditional correlation GARCH model to explore the return and volatility relationships.FindingsThe return and volatility spill‐overs between the two developed markets, LME and NYMEX, are bi‐directional and significantly stronger when the NYMEX operates an electronic trading system. In addition, significant bi‐directional return spill‐over between the LME (developed market) and the SHFE (emerging market) and significant uni‐directional volatility spill‐over from the LME to the SHFE are documented.Research limitations/implicationsThe evidence suggests that degree of market integration and trading mechanism play crucial roles in the return and volatility transmission across the three major copper futures markets. Higher level of market integration and easy access to trading information lead to faster information dissemination and help to establish stronger relationships of returns and volatility across the markets. This is consistent with the findings in the equity markets.Originality/valueThe study provides empirical evidence of short‐run information transmission between developed and emerging copper futures markets.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.