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

IMF Looks at Data Challenges of Better Supervision of the Global Markets

Subscribe to our newsletter

In a similar vein to the rest of the global regulatory community, the International Monetary Fund (IMF) is examining how it can better monitor the financial markets and the data concerns related to that challenge. In a paper published earlier this week, the IMF indicates how it plans to map the interconnectedness of financial institutions across borders, including filling the gaps in financial sector data and collaborating with key entities involved in financial stability work.

The challenges the IMF will face in this endeavour are likely to be similar to those facing regulators in enacting living wills reforms and the monitoring of systemic risk. It notes in its report that in order to adequately carry out its market surveillance function in the current environment, the IMF needs to improve its previously siloed methods of operation and move from a bilateral to a multilateral focus in terms of data monitoring. This is all representative of the more joined up approach to risk that is permeating the post-crisis financial market: holistic risk assessment, taking into account intra and inter-risk impacts.

“While bilateral surveillance would assess individual countries, thematic issues, and specific private sectors/institutions (financial sector) important for individual country stability, multilateral surveillance would deal with regions, networks of financial interconnectedness, and private sectors/institutions important for global stability,” states the IMF report.

A large part of its financial sector surveillance work will involve the filling of data gaps, it says: “The fund will need access to the necessary data, both aggregate data on the operation of the networks and on key institutions. The Interagency Group on Economic and Financial Statistics (established at end-2008, the Fund chairs this group) represents a promising start to improve data availability for global network analysis.”

To this end, the IMF will also work with the Financial Stability Board (FSB), which was established last year in order to globally track systemic risk. These regulatory bodies are thus tasked with taking the current mishmash of data produced by the financial services industry with regards to instruments and entities and structuring it in such a way that it makes sense in order to be able to track risk across the market.

As with the projects going on internally within financial institutions to adopt a more enterprise-wide approach to risk assessment, the IMF will need to tie up its risk assessment systems, but on a significantly larger scale. The Interagency Group on Economic and Financial Statistics will be tasked with tackling the data challenge and no doubt will have a job on its hands in mapping all the relevant sets of non-standardised entity and instrument identifiers across the financial markets.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Market data in the cloud

The Covid-19 pandemic has created new demand for financial information delivery infrastructure to accommodate the many trading and support personnel now working from home (WFH). For many firms, new cloud delivery and hosting capabilities offer a viable solution for supporting these staff, accelerating demand for cloud-based market data delivery infrastructures. This development has thrown up...

BLOG

12 Companies Bridging Agentic AI and Data Management in Capital Markets

The friction inherent in mobilising data is a perennial problem for financial institutions, who have spent the last decade perfecting the passive data stack – investing heavily in cloud warehouses, governance frameworks and ETL pipelines designed to move data for human consumption. However, the operational reality remains plagued by manual intervention. Recent developments in agentic...

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

Entity Data Management Handbook

Following on from the success of our Regulatory Data Handbook, A-Team Group is pleased to introduce its new Entity Data Management Handbook which is available for free download. This Handbook is the ultimate guide to all things entity data: Why Entity Data is important A full review of Legal Entity Identifiers (LEIs) Where they came...