Shell picks ZaiNet for carbon trading

- Alexander Campbell
- 06 Jul 2005

Tweet
Facebook
LinkedIn
Save this article
Send to
Print this page

Shell's environmental products group trades 15 products worldwide. ZaiNet will allow it to manage its portfolio in accordance with the European Union Emissions Trading Scheme (EU-ETS), which came into force at the beginning of this year. Shell has also put in place the ZaiNet Renewables Obligation module.

Shell completed the first-ever EU-ETS trade in February 2003, when it agreed the sale of a 'significant volume' of allowances to Nuon Energy Trade; it was also the first company to use ISDA's newly-released emissions trading documentation, in a trade with Barclays Capital in July last year.

Emissions trading is growing rapidly: the European Energy Exchange forecasted that permits representing 150 million tonnes of carbon dioxide would be traded this year, rising to 500 million tonnes in 2008. At current spot prices, this represents a volume of €4.3 billion in 2005 and €14.4 billion in 2008.

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to print this content. Please contact info@risk.net to find out more.

You are currently unable to copy this content. Please contact info@risk.net to find out more.

You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/

If you would like to purchase additional rights please email info@risk.net

You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/

If you would like to purchase additional rights please email info@risk.net

More on Technology

Technology

Dismantling the zeal and the hype: the real GenAI use cases in risk management

Chartis explores the advantages and drawbacks of GenAI applications in risk management – firmly within the well-established and continuously evolving AI landscape

17 Jan 2024

Technology

Chartis RiskTech100® 2024

The latest iteration of the Chartis RiskTech100®, a comprehensive independent study of the world’s major players in risk and compliance technology, is acknowledged as the go-to for clear, accurate analysis of the risk technology marketplace. With its…

03 Nov 2023

Technology and Data

T+1: complacency before the storm?

This paper, created by WatersTechnology in association with Gresham Technologies, outlines what the move to T+1 (next-day settlement) of broker/dealer-executed trades in the US and Canadian markets means for buy-side and sell-side firms

02 Nov 2023

Technology

Empowering risk management with AI

This webinar explores how artificial intelligence (AI) can strip out the overheads and effort of rapidly modelling, monitoring and mitigating risk

05 Oct 2023

Technology and Data

Core-Payments for business leaders: why real-time access to payment data is key to long‑term business success

Business leaders require easy access to timely, reliable and complete information across post-trade processes. Aside from the usual requirements of senior managers to optimise for risk, revenues and costs, they increasingly need to demonstrate to their…

03 Oct 2023

Technology and Data

Risk applications and the cloud: driving better value and performance from key risk management architecture

Today's financial services organisations are increasingly looking to move their financial risk management applications to the cloud. But, according to a recent survey by Risk.net and SS&C Algorithmics, many risk professionals believe there is room for…

20 Sep 2022

Technology

Machine learning models: the validation challenge

Machine learning models are seeing increasing demand across the capital markets spectrum. But how can firms improve their chances of gaining internal and regulatory approval for these type of models?