About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

New S&P Index to Represent the Global Macro/Managed Futures Universe

Subscribe to our newsletter

S&P Indices has launched the S&P Systematic Global Macro Index (SGMI), which aims to reflect price trends of highly liquid global futures, representing the general level of volatility taken by managers in the global macro and managed futures/Commodity Trading Advisor

(CTA) space. The Index is diversified globally across 37 constituents, falling into the six most widely traded sectors– Commodities, Energy, Fixed Income, Foreign Exchange, Short Term Interest Rates and Equity Indices. Each constituent may be long, short or flat to indicate its trend.

The weighting scheme applies an even risk capital allocation across the index by sector and again to each constituent within each sector so that no single sector or constituent drives the volatility of the index. The even risk capital allocation uses an index target volatility representative of the space, with available leverage of up to 300%, enabling the closest volatility match given a potentially low average correlation across the constituents. The sectors and constituents within the S&P SGMI are rebalanced monthly.

Uniquely, the trend-following model used to determine the position of each constituent is flexible enough to allow a customized time-period for each constituent on a monthly basis, unlike models which are based on fixed time-periods. This means that if a longer-term trend is driving the market, the Index reflects that, but if a shorter-term trend becomes significant the Index picks that up, using an iterative process to test the stability of each trend.

S&P Indices acquired the methodology underlying the S&P SGMI from Thayer Brook Partners LLP. The methodology was developed by Thayer Brook Partners LLP exclusively for S&P Indices.

Jodie Gunzberg, Director of Commodities at S&P Indices said, “This methodical, rules-based Index intends to measure the price trends and perform similar to that of the systematic global-macro space. Historically, this domain has had little correlation to traditional asset classes with relatively small drawdowns as compared with long-only equities or commodities.”

“Issues like high minimums and high fees have made it difficult for many investors to gain access to global macro and managed futures strategies. We envisage that new products based on this index will give investors the ability to invest in a long/short, comprehensive set of the main futures contracts. It’s liquid, tradable and it isn’t just based on commodities, but is well diversified across the six main asset classes in the futures markets.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Managing Valuations Data for Optimal Risk Management

The US corporate actions market has long been characterised as paper-based and manually intensive, but it seems that much progress is being made of late to tackle the lack of automation due to the introduction of four little letters: XBRL. According to a survey by the American Institute of Certified Public Accountants (AICPA) and standards...