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

SEC Publishes 517 Pages of Proposed Rules for Ratings Sector, More Data Transparency is on the Cards

Subscribe to our newsletter

At the end of last month, the Securities and Exchange Commission (SEC) published a 517 page document that details a whole host of new requirements for ratings agencies and those that use ratings in their day to day operations (ergo most of the market). The paper adds to the regulator’s recent investigation into he feasibility of a system in which a public or private utility or a self-regulatory organisation would assign a nationally recognised statistical rating organisation (NRSRO) to determine credit ratings for structured finance products.

The focus of the new rules is to improve transparency into and oversight of the ratings sector, which has come under heavy fire since the financial crisis for potential conflicts of interest in its pricing schemes and a lack of data transparency around ratings themselves. The SEC is therefore proposing amendments to current ratings rules, a new rule and form that would apply to providers of third party due diligence services for asset backed securities and requirements for more data to be published about the findings of these due diligence reports. Industry participants have less than 60 days to respond to the proposed rules and provide feedback about the potential impact of such moves.

In terms of changes to ratings rules as they currently stand, the SEC would require these agencies to introduce and document “an effective internal control structure governing the implementation of and adherence to policies, procedures, and methodologies for determining credit ratings”. These compliance requirements would involve much more prescriptive levels of acceptability regarding the policies, procedures and methodologies for determining ratings. The regulator is therefore seeking some input from the market about what it should be looking for in these judgements.

The SEC is also reviewing what the term “recordkeeping” means in this context and the level of data that these agencies should be storing and providing to the regulator on demand. This sits alongside a whole host of new rules related to conflicts of interest and management structures deemed acceptable to prevent these conflicts, as well as details of potential fines and other penalties for non-compliance.

In terms of data disclosure, the SEC is asking firms for feedback about the level of public disclosure needed. It is suggesting that performance measurement statistics should be provided alongside ratings and details about how the rating was determined, including historical data related to previous ratings. To this end, the SEC proposes that it: “shall require an NRSRO to ensure that credit ratings are determined using procedures and methodologies, including qualitative and quantitative data and models, that are in accordance with the policies and procedures of the NRSRO for the development and modification of credit rating procedures and methodologies.”

This level of data would be provided by a new form that would include disclosure of information relating to the assumptions underlying the credit rating procedures and methodologies and the data that was relied on to determine the credit rating. Moreover, if applicable, it would also include how the NRSRO used servicer or remittance reports, and with what frequency, to conduct surveillance of the credit rating. Supplementary information would also be required that could be used by investors and other users of credit ratings to better understand credit ratings in each class of credit rating issued by the NRSRO.

These more intensive data requirements will certainly alter the way firms consume data from ratings agencies, as well as requiring these agencies to invest in their internal data provision capabilities and recordkeeping systems.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Augmented data quality: Leveraging AI, machine learning and automation to build trust in your data

Date: 19 September 2024 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence and machine learning are empowering financial institutions to get more from their data. By augmenting traditional data processes with these new technologies, organisations can automate the detection and mitigation of data issues and errors before they become...

BLOG

The New Frontier of Outsourced Data Management: S&P Global Market Intelligence Report

Digitalisation has taken financial institutions along a prosperous path of better understanding, management and utilisation of the data that their activities generate. But technological evolution and the changed economic environment have placed a new set of challenges onto their shoulders. Institutions are now grappling with how they can take their digital programme further, especially given...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

Entity Data Management Handbook – Sixth Edition

High-profile and punitive penalties handed out to large financial institutions for non-compliance with Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations have catapulted entity data management up the business agenda. So, too, have industry and government reports on the staggering sums of money laundered on a global basis. Less apparent, but equally important, are...