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

OTC Val Expands Coverage to Illiquid Mortgage and Asset Backed Products

Subscribe to our newsletter

OTC Valuations (OTC Val) has expanded its securities coverage to address valuation for illiquid mortgage, credit card, and bank loan related products. The vendor claims the extension to these products will accommodate audit and internal risk compliance requirements for securities with no market observable prices.

Under liquid market conditions, the fair value of these asset backed products could be obtained from a broker quote, which would be based on that day’s trading activity for a specific security, says the vendor. This has and always will be an accepted practice in active markets. However, in today’s environment, a large number of these securities have not traded for several months, leading to stale broker quotes, which OTC Val explains are poor indications of current fair value.

To accommodate audit and internal risk compliance requirements for securities with no market observable prices, OTC Val says it is working with market participants to address their valuation and transparency requirements by employing model-based and fair value estimation techniques.

The vendor believes that the recent legislation submitted to Congress by the US Treasury Department to purchase up to US$700 billion of troubled residential and commercial related assets falls short of tackling pricing issues. OTC Val says these will continue to hamper this market segment due to limited underlying data availability, information on particular structural parameters of an asset, and credit standing of the component pieces of the asset.

Bob Sangha, managing director at OTC Val, adds: “In an inactive market, we believe that market participants are as concerned about the assumptions and data behind a product’s price as the price itself. Our valuation methods enable us to provide this level of transparency and disclosure. In addition, we employ a variety of reasonableness tests to ensure consistency and accuracy, while utilising (FAS 157 Level II) observable market inputs where possible.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

S&P Global Market Intelligence Wins A-Team Group’s AI In Capital Markets Best AI Solution for Research Summarisation Award

S&P Global Market Intelligence’s flagship data and analytics platform has won A-Team Group’s AI in Capital Markets Award for Best AI Solution for Research Summarisation. Data Management Insight spoke to Daniel Kim, senior director, head of digital engagement, data and research at S&P Global Market Intelligence and discusses the AI capabilities of its S&P Capital...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...