Improve Your Home Price Forecasting

The new CoreLogic HPI Forecasts™ is built on the concept that home price index modeling is an integrated discipline that must incorporate four key capabilities to achieve its full risk-reducing potential. Our approach alone includes all four of these capabilities:

  • Five-year forecast horizon
  • The industry’s deepest and broadest data coverage
  • The industry’s most current, comprehensive set of home price indices
  • Multiple forecast tiers, including one for non-distressed properties

CoreLogic HPI Forecasts integrates these capabilities into a unified home price modeling solution that can produce unprecedented predictive accuracy.

Houses shown representing growth/forecasting on a chartTechnical Perspective

CoreLogic HPI Forecasts is based on a two-stage error-correction structural model that combines the equilibrium house price—as a function of real disposable income per capita—with short-run fluctuations affected by market momentum, mean-reversion, and exogenous economic shocks like the unemployment rate.

New Webinar Explains How It Works

Our webinar introduces you to the new CoreLogic HPI Forecasts. The webinar examines the modeling frame, forecast results, and details of its featured elements.

Who Should Attend?

CoreLogic HPI Forecasts can be an important tool in your competitive arsenal. Analysts, modelers, executives, business managers, and technical experts should take this opportunity to learn how integrated home price modeling can improve decisions and decrease risk.

Webinar Recording Now Available

To download the recording of the CoreLogic HPI Forecasts Webinar conducted July 18, 2013, please complete the form below.

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A Solid Analytics Foundation

Image of house - Sold/Home for Sale sign CoreLogic HPI™—the basis of CoreLogic HPI Forecasts—incorporates more than 30 years’ worth of repeat-sales transactions, representing more than 65 million observations sourced from industry-leading CoreLogic property, securities, and servicing databases.

By tracking increases and decreases in sales prices for the same homes over time, CoreLogic HPI produces a more accurate "constant-quality" view of pricing trends than analytics of all home sales can do. It includes multi-tier market evaluations based on price, time between sales, property type, loan type (conforming vs. nonconforming), and distressed sales.

CoreLogic HPI offers the most comprehensive set of monthly U.S. home price indices available anywhere—covering 6,860 ZIP codes (58 percent of total U.S. population), 960 Core Based Statistical Areas (86 percent of total U.S. population), and 1,210 counties (84 percent of total U.S. population) located in all 50 states and the District of Columbia.

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Learn from the Experts

Our July 18th CoreLogic HPI™ Forecasts webinar featured the CoreLogic economists who led its creation and development and the product manager who oversees its implementation.

Featured presenters:

  • Michael Bradley, PhD – Model Development

    Dr. Michael Bradley, SVP of modeling & analytics, leads our decision-modeling and research groups, with responsibility for the CoreLogic HPI suite of products, RiskModel®, AVMs, fraud models, collateral review tools, and rental analytics. His background includes leading collateral and risk management model-development teams at Citigroup and Freddie Mac, serving as an economist at the Federal Reserve and the Office of Thrift Supervision (OTS), and teaching economics at the University of Colorado.

  • Mark Liu, PhD – Solution Design

    Dr. Liu, CoreLogic principal economist, specializes in mortgage-credit risk modeling and development of econometric models that support sound credit- and interest-rate risk management. He is the lead modeler for CoreLogic HPI Forecasts 4.0. A charter holder of Financial Risk Manager (FRM) and Chartered Financial Analyst (CFA) certifications, he previously directed mortgage modeling at CitiGroup, directed the analytics and modeling team for Saxon Mortgage, and was an economist at Global Energy Decisions.

  • Michela Barba Product Management

    As director of product management for the CoreLogic Real Estate Analytics Suite—which includes CoreLogic HPI products—Michela oversees all facets of CoreLogic HPI Forecasts, from modeling and analytics strategies through client implementation, training, and support. Prior to CoreLogic, she was senior director of risk analytics at Freddie Mac, responsible for measuring and managing credit risk in support of strategic policy, and senior economics researcher, where she led the affordable-lending forecasting process.

 

Webinar Recording Now Available

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