Liquidity and market efficiency in the world's largest carbon market

Gbenga Ibikunle, Andros Gregoriou, Andreas G.F. Hoepner and Mark Rhodes

The British Accounting Review, 2016, vol. 48, issue 4, 431-447

Abstract: We investigate liquidity and market efficiency on the world's largest carbon exchange, IntercontinentalExchange Inc.’s European Climate Exchange (ECX), by using intraday short-horizon return predictability as an inverse indicator of market efficiency. We find a strong relationship between liquidity and market efficiency such that when spreads narrow, return predictability diminishes. This is more pronounced for the highest trading carbon futures and during periods of low liquidity. Since the start of trading in Phase II of the EU Emissions Trading Scheme (EU-ETS) prices have continuously moved nearer to unity with efficient, random walk benchmarks, and this improves from year to year. Overall, our findings suggest that trading quality in the EU-ETS has improved markedly and matures over the 2008–2011 compliance years.

Keywords: G12; G13; G14; G15; G18; Liquidity; Order flow; Market efficiency; Return predictability; European climate exchange; EU Emissions Trading Scheme (EU-ETS); Carbon futures (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0890838915300032
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:bracre:v:48:y:2016:i:4:p:431-447

DOI: 10.1016/j.bar.2015.11.001

Access Statistics for this article

The British Accounting Review is currently edited by Nathan Lael Joseph and Alan Lowe

More articles in The British Accounting Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().