GNMA Electronic Subscription Services of Financial Data

THIS IS A SOURCES SOUGHT NOTICE FOR MARKET RESEARCH ONLY - NO AWARD WILL BE MADE FROM THIS NOTICE

The General Services Administration, NCR FAS, COD, has received a request from the U.S. Department of Housing and Urban Development, Ginnie Mae Office of Enterprise Risk, for in-depth financial analysis and data services to seek sources capable of fulfilling the requirements set forth in the following description of items. The Government is seeking a Contractor who is able to provide these items. The primary objective of this notice is to obtain information that will help the Government finalize its procurement strategy.

This NOTICE is published to determine the interest and capabilities of potential offerors.

The General Services Administration, National Capital Region (NCR), Contracting Division hereby publicizes its Request For Information (RFI) to also help to determine if there are sources available in the marketplace who can provide the listed financial analysis and data services in the form of subscriptions that are compatible with the GNMA proprietary application (CorporateWatch) .

The Government has future intentions to award a fixed price contract with any proven source that can provide these specified items. The Government contemplates the contract having a period of performance of a twelve month base period and four, twelve month option periods.

Ginnie Mae's Office of Enterprise Risk seeks to procure in-depth financial analysis and data services as follows in a suite of comprehensive financial content covering:
1. Credit Ratings: Shall provide a comprehensive overview of all relevant financial and market information encompassing corporate ratings, details of financial and marketplace deals, research and analytics, ratings news, performance data, ratings methodologies, financial sector research and analyst newsletters. License Support for ten (10) users.
2. Reviews of the Global, Regional, and Money-Center Banks: Provides issuer-level and thematic research related to more than 1,200 banks and banking institutions rated globally. It also shall provide comprehensive issuer research offerings including credit reviews and opinions, issuer comments, analysis, company profiles and aggregated banking-sector statistics. License Support for ten (10) users.
3. Residential and Commercial Mortgaged-Backed Securities Research: Commercial Mortgage-Backed Securities Group is the leading source of credit ratings and research for all types of commercial mortgage-backed deals including single-asset and large loan transactions, conduits, credit tenants leases, and floaters. Shall maintain deal- and program-specific research related to the 15,000 structured finance deals it rates and monitors globally. Shall provide comprehensive research offerings including timely, deal-specific insight and informed market commentary, in addition to downloadable monthly performance data and indices. Additionally, shall produce cutting-edge special reports on asset classes, year-in-review series, rating methodologies, and various periodic newsletters on different sectors. License Support for ten (10) users.
4. Counterparty Risk Models: RiskCalc predictive analytics are based on an Analytics Credit Research Database, the world's largest and most comprehensive database of private firm financials and defaults. This financial model provides greater accuracy, consistency and efficiency than other models when evaluating privately-held firms. It produces a forward-looking default probability by combining financial statement and equity market information into a highly predictive measurement of stand-alone credit risk. RiskCalc's robust analytics and broad coverage has made it the private-firm model of choice among the world's leading banks, corporations, and asset managers. It is considered worldwide as the preferred model for: efficiently screening obligors at origination, early detection of credit deterioration, accurately and consistently pricing credit risk, monitoring and benchmarking exposures or investments, and Basel II compliance. It is the only model of its kind and contains 27 million financial statements on 5.6 million firms and over 500,000 private company defaults.
5. Financial and Economic Databases: Shall have a CreditEdge Model that serves as a dynamic analytical platform that bridges the equity, bond and credit derivative markets, enabling an in-depth understanding of their impact on credit risk. Risk managers, lenders and portfolio managers use the platform for: early warning and risk monitoring, inputs to internal rating systems, benchmarking and calibrating risk rating systems, input to regulatory compliance models, input into economic capital calculations, and to arrive at fair value estimates.
6. Reports and Forecasts: Shall have automated data feeds for RiskCalc and CreditEdge electronic ratings delivery products supporting the integration of ratings and related information directly into proprietary applications to facilitate analysis and improve data integrity. There shall be daily delivery of electronic ratings services and weekly delivery of historical ratings.
7. Electronic Ratings Delivery Service of Corporate and Structured Ratings: Analytics that shall maintain one of the largest repositories of economic, demographic and financial data from over 100 government and private sources. Data set coverage that shall include U.S. and regional data on residential real estate prices and construction activity, employment by industry, banking and finance, demographics, personal income, prices, leading indicators, industrial production, retail sales, labor market, energy, and financial markets.
Analytics shall be published in monthly reports with timely insight that includes statistical tables on economic performance, including detailed five-year macro- forecasts with alternative views, as well as extensive written analysis of current economic conditions, with an economic outlook and risks analysis. It shall also provide financial forecast databases with over 1,600 macroeconomic, demographic, and financial variables. This content shall also include GDP, residential and commercial real estate starts and prices, detailed industry employment and the unemployment rate, commodity prices and producer price indexes, a full complement of interest rates, banking, consumer and corporate credit quality, construction, and demographics. This content shall be updated monthly with quarterly periodicity, a 30-year forecast horizon and all available history. The baseline forecast plus four alternative scenarios shall be updated each month.
8. Metro Alternative Scenarios: National, State, and Metropolitan Statistical Area ("MSA") level financial data in order for Ginnie Mae to determine their Current Expected Credit Losses ("CECL") and to periodically perform Stress Testing that requires a suite of economic scenarios (forecasts) covering the entire financial risk spectrum from a baseline scenario to an optimistic scenario to pessimistic scenario (all alternative economic scenarios) and determine the financial influence on their institution.

NOTE: This content shall be delivered on-line as an electronic financial subscription service.

Be advised that the aforementioned information is anticipatory in nature and is not binding. This notice is not a request for competitive proposals; however, responsible sources may identify their interest and submit a capability statement and comprehensive list of the items offered that are proven by the interested contractor consistent with described features, functionality and compatibility with Ginnie Mae's proprietary application (CorporateWatch), which shall be considered by the agency. Any response must clearly show the firm's ability to be immediately responsive without compromising the quality, accuracy, and reliability of services provided. Any capabilities, comments, questions, or concerns regarding this notice may be submitted in writing via e-mail to francine.hemphill@gsa.gov and derrick.dudley@gsa.gov on or before November 20, 2018 at 11:00 am. A determination by the Government not to compete based upon responses to this notice is solely within the discretion of the Government. An anticipated contract award date will occur: No later than December 26, 2018 through a separate notice. Contracting Office Address Including Zip Code: General Services Administration, Federal Acquisition Service, Contracting Division, NCR, 301 7th St SW, 6th Floor, Washington, DC 20407.

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