""Kroll Factual Data"":http://www.krollfactualdata.com and ""MIAC Analytics"":http://www.miacanalytics.com have announced an alliance to provide whole loan collateral risk assessment to mortgage investors and risk managers.
Colorado-based Kroll Factual Data is a provider of business information solutions to mortgage lenders, consumer lenders, property management firms, and other financial organizations. Wall Street's MIAC Analytics, a registered SEC Investment Advisor, offers post-origination and secondary mortgage pricing, hedging, accounting, and risk management solutions to mortgage originators, mortgage servicing owners, and mortgage-backed securities (MBS) portfolio managers.
Describing the partnership, Paul Van Valkenburg, principal at MIAC, said, ""Our alliance with Kroll Factual Data provides real-time risk metrics to help our clients measure the fundamental risks caused by the current financial crisis. Together, we are providing our customers with current loan value and borrower credit information to manage portfolio risk accurately and in a timely manner. Through this partnership, we can deliver information within hours that once took days or weeks.""
Kroll Factual Data assesses consumer data to help clients evaluate loan characteristics, transfer risk, and increase safety and soundness. MIAC Analytics' integrated software products assist with deriving loan loss reserve calculations, pricing and valuation of mortgage-based assets, and OTTI ['other than temporary impairment'] for securities. The integration of Kroll Factual Data’s updated risk metrics, lender data, and collateral behavior assumptions derived with MIAC’s analytic tools provides for faster, more comprehensive loan evaluation and pricing, the companies said in a press statement.
Jeff Gentry, VP of Kroll Factual Data, added, ""Through this joint venture, we offer a unique combination of tools for whole loan valuation. Receiving data through our integrated method is cost-effective and highly automated. Clients will better understand risk and make smarter, more efficient decisions based on our data results.""