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iEmergent Releases FHA Market Forecasts and Analytic Tools
By James Comtois
With the recent mortgage crisis, the number of product types and funding conduits has gone down considerably, making it tough for borrowers, particularly first-time buyers with moderate incomes, to purchase a home with lower downpayments.
As part of a plan to enable lenders to identify emerging FHA lending opportunities, iEmergent, a Des Moines-based market research, forecasting and advisory services firm for the financial services, mortgage and real estate industries, has introduced its FHA Purchase Forecast to advise lenders on where FHA lending is likely to increase rapidly, forecast the size of the FHA lending opportunities and project future FHA growth.
Through iEmergent's FHA analytic tools, financial institutions can identify and quantify possible FHA lending opportunities in various markets throughout the United States. iEmergent's FHA Purchase Forecast is available for all geographic markets and contains the Purchase Mortgage Conversion Rates, sizes of total FHA purchase lending opportunities, FHA mortgage density and projections of future FHA mortgage growth speeds for each geographic market.
"The available product types and funding conduits have severely narrowed, making it difficult for borrowers with very little downpayment to purchase a home, especially first-time buyers with moderate, middle and even upper incomes," said Dennis Hedlund, founder and president of iEmergent. "But homeownership demand and household growth rates remain strong despite the collapse of no-down, low-doc product and our FHA tools enable lenders to identify the markets where opportunities relating to the dramatic increase in demand for FHA loan products exist."
iEmergent's products are derived from unique market metrics that calculate where and what types of lending opportunities exist, enabling lenders and brokers to anticipate and forecast their mortgage opportunity. The reporting tools available through iEmergent are based on various criteria, including national, state, county or local geographic locations and all types of loan products and borrower segments, such as loan sizes, race, income ranges and gender.
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