About a-team Marketing Services
The knowledge platform for the financial technology industry
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: How to ensure employees meet fit and proper requirements under global accountability regimes

Fitness and proprietary requirements for employees of financial institutions are not an option, but a regulatory obligation that calls on employers to regularly assess employees’ honesty, integrity and reputation, competence and capability, and financial soundness. In the UK, these requirements are a core element of the Senior Managers and Certification Regime (SMCR). They are also...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

Complex Event Processing

Over the past couple of years, Complex Event Processing has emerged as a hot technology for the financial markets, and its flexibility has been leveraged in applications as diverse as market data cleansing, to algorithmic trading, to compliance monitoring, to risk management. CEP is a solution to many problems, which is one reason why the...