With the first MMFR reporting cycles finally completed in September 2020, asset managers across the EU have transitioned from a long implementation phase into ongoing operational reporting. Based on SolvencyAnalytics’ experience supporting firms through the initial reporting rounds, the first submissions not only marked a regulatory milestone, but also highlighted the significant practical challenges of producing consistent reports under the Article 37 framework. As reporting becomes business-as-usual, the focus is shifting from setup to data quality, process stability, and repeatability.

Insights from the Initial Reporting Rounds

The first rounds of reporting which required the simultaneous submission of Q1 and Q2 2020 data, provided valuable insights into the operational realities of the regulation. While firms met the revised deadlines, many faced hurdles aligning internal datasets with the rigorous XML Schema v1.1 requirements. Common observations from this cycle include:

  • Technical Schema Transitions: The shift from XML v1.0 to v1.1 just months before the deadline required significant last-minute adjustments to reporting logic and validation processes
  • Data Inconsistencies: Discrepancies between portfolio management, risk platforms, and transfer agent data led to reconciliation challenges
  • Interpretation of Regulatory Fields: Varied interpretations of complex metrics like WAM and WAL resulted in initial inconsistencies across different fund groups
  • Increased Validation Effort: ESMA's strict quality checks on submitted data required substantial manual intervention to clear validation errors
  • Sustainability of Manual Workarounds: Early reliance on manual data patches proved unsustainable for the recurring quarterly cycles ahead

Building a Resilient Reporting Model

These findings underscore that MMFR reporting is a continuous data challenge. At SolvencyAnalytics, we support asset managers in creating stable, repeatable processes that integrate data collection, validation, and production. Our approach includes:

  • Sourcing and integrating input data from fragmented internal and external systems
  • Applying consistent regulatory logic in line with the latest ESMA technical standards
  • Implementing automated validation and reconciliation to ensure high data quality
  • Producing and delivering reports in the mandated XML format within strict regulatory windows

By combining technical expertise with a structured operating model, we help clients reduce operational complexity and maintain reliable reporting as supervisory expectations continue to evolve.

Please feel free to contact info@solvencyanalytics.com to discuss your MMFR reporting framework and operational setup.