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

A-Team Insight Briefs

FINRA Fines Morgan Stanley for Incorrect Trading Data

Subscribe to our newsletter

The Financial Industry Regulatory Authority (FINRA) has fined Morgan Stanley $875,000 for failing to provide accurate trade data (also known as “blue sheets”) in an automated format when requested to do so by FINRA and the SEC. The regulator found that the bank had experienced significant failures in its blue sheet systems between 2014 and 2017, and made numerous deficient or inaccurate submissions. Morgan Stanley, which has not admitted or denied the charges, claims that human error was the cause of the inaccurate submissions.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

15 Regulatory Transaction Reporting Leaders, Europe – (2026 Edition)

Transaction reporting in Europe is no longer a question of meeting submission deadlines – it is a question of evidencing control. Core regimes such as MiFIR and EMIR have been in force for several years, but supervisory focus has shifted decisively from completeness toward data quality, reconciliation, and traceability. The EMIR Refit go-live in April...

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

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...