Understanding Today’s Connected Borrower

Sign up for this webinar to learn how to transform the borrower journey from transaction to relationship and gain a significant lift in production in today’s digital lending environment.

RealTrending: eXp’s Glenn Sanford reveals what’s next for company

CEO of eXp World holdings addresses his critics about his agent referral program, where he is taking the company next and growth limiters for the brokerage.

Navigating Closing Struggles in 2021’s Purchase Market

Join this webinar to discover the most current information on hybrid and full eNote eClosings and discuss key criteria to successfully implementing your eClosing strategy.

Should lenders look to non-QM when the refi boom slows?

Angel Oak shared with HW how non-QM lending could be an effective way for lenders to replace lost business in the event of a refi boom slowdown.

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The disruptive impact of big data on housing

Understanding data and risk evaluation

March mag commentary HW+

Determining the value of a home depends on both art and science. With the increasing availability of massive amounts of housing data and the ability to analyze that information. Analysis of millions of pieces of disparate data informs nearly every decision made involving residential real estate.

Todd-Teta_5.16.19-Jacket-1
Todd Teta – guest columnist
March HW Magazine

Consumers, real estate agents, investors, mortgage lenders, insurance companies and other financial institutions need accurate valuations to inform their immediate decisions about investing in real estate and underwriting property. But big data has a deeper value than just estimating today’s property values. Housing data can be used to evaluate ongoing risks that could impact not only future property values but also the cost of maintaining and perhaps repairing properties. 

Data is available to predict risk to properties from climate change, natural disasters, typical storms and environmental hazards such as exposure to chemicals from nearby industries or previous industrial use. 

Crime data can be used for predictive evaluation of property values, data on development plans and even school district data can be factored in to estimate whether a property will increase in value over time. For real estate investors, homebuyers, appraisers, insurance companies, mortgage lenders and other financial institutions, a deep understanding of the risks associated with a property and a community is essential.

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