Optimal Blue reports that it has formed a strategic alliance with Cotality – formerly known as CoreLogic – under which Cotality will offer Optimal Blue’s mortgage origination and pricing data to a broader audience, including hedge funds, capital markets participants, and investment firms seeking insights into the mortgage markets.
Optimal Blue sources mortgage rate lock data directly from its product, pricing, and eligibility (PPE) engine, which is used to lock more than one-third of U.S. mortgages, the firm says in a release.
By offering mortgage origination and pricing data alongside its extensive suite of real estate data and analytics solutions, Cotality’s clients gain access to more comprehensive housing market data that helps them improve decision-making, forecasting, and risk management strategies.
“Optimal Blue’s growing relationship with Cotality represents our shared commitment to bringing meaningful data and analytics to participants across all segments of financial markets whose businesses can benefit,” says Mike Vough, head of corporate strategy at Optimal Blue. “Optimal Blue offers the most representative, direct-source mortgage rate lock data available – a strategic complement to Cotality’s extensive property insights – giving financial market participants a holistic view of housing market dynamics to enhance investment decisions.”
“Offering Cotality’s comprehensive property data available with Optimal Blue’s direct to source mortgage rate lock dataset gives our customers additional insights and demonstrates our commitment to innovation-making the industry smart and faster,” adds Sachin Rajpal, managing director of Cotality Data Solutions.
Optimal Blue’s Market Data License enables institutions to access loan-level origination and pricing information daily via secure file transfer protocol (SFTP), search over 60 variables per loan – including product type, pricing, credit attributes, property details, and occupancy status – and track primary market production trends and shifting borrower demographics.
Additional use cases include supporting advanced market share analysis and portfolio benchmarking while gaining deeper insights into housing and mortgage market movements.
Photo: Markus Spiske