When a capital market analytics challenge includes a significant pricing component—or depends on statistical projections of future portfolio or bond performance—we offer our home price index tools, CoreLogic HPI™ and CoreLogic Case-Shiller Indexes™, and our unique monthly geo-level (ZIP code, county, CBSA, national) statistics toolset, the Real Estate Analytics Suite—which aggregates public record, mortgage performance, valuation, MLS, and pricing data.
Built on industry-leading public record, servicing, and securities real-estate databases, CoreLogic HPI™ incorporates more than 30 years of repeat sales transactions for analyzing historic, current, and future home price trends and producing multi-tier, multi-level market evaluations. Leveraged by the Federal Reserve Board of Governors for Flow of Funds review—and the only index used in their CCAR national home price supervisory scenarios—CoreLogic HPI is the most current, comprehensive set of home price indexes available on the market.
Market Condition Indicators augment CoreLogic HPI and CoreLogic HPI Forecasts indexes, identifying individual geographic markets as “overvalued,” “at value,” or “undervalued.” These values are derived from the long-term fundamental values of 300 CBSAs—as determined by the correlation of their housing prices to real disposable income per capita. Overvalued and undervalued markets have current home price indexes 10% (or more) above or below their long-term values. Determining the relationship between a CBSA’s long-term value and its current pricing is critical to understanding housing risk—successful buy/hold and other decisions depend on the sort of verifiable accuracy that Market Condition Indicators can supply.
Market Condition Indicators are available with base subscriptions to CoreLogic HPI and CoreLogic HPI Forecasts at no additional cost.
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CoreLogic HPI features:
Accurate home-price forecasting—the key to identifying opportunities, risks, and volatilities in future real estate markets—depends on the right balance of data input, expertise of the analytics staff, and quality of the toolset used to project results. CoreLogic HPI Forecasts™ is built to optimize this balance, generating verifiably trustworthy monthly predictions of home-price movements at the national, state, county, CBSA, and ZIP code levels up to five years (60 months) into the future.
CoreLogic HPI Forecasts Stress-Testing Scenarios helps banks, investors, government entities, and others initiate or evaluate compliance with the Federal Reserve Board of Governors’ Comprehensive Capital Analysis and Review (CCAR) and/or Dodd-Frank Stress-Test (DFAST) regulations—or develop independent stress-testing regimens of their own. Aligned with the national CCAR supervisory home price scenarios, CoreLogic HPI Forecasts Stress-Testing Scenarios project those scenarios at the state, CBSA, and ZIP Code levels on a monthly basis—for single-family combined (SFC) and SFC-excluding-stressed homes.
Learn more about Stress-Testing Scenarios
Market Condition Indicators augment CoreLogic HPI and CoreLogic HPI Forecasts indexes, identifying individual geographic markets as “overvalued,” “at value,” or “undervalued.” These values are derived from the long-term fundamental values of 300 CBSAs—as determined by the correlation of their housing prices to real disposable income per capita. Overvalued and undervalued markets have current home price indexes 10% (or more) above or below their long-term values. The long-term fundamental values are also available to clients, giving you the flexibility to tighten or broaden the value thresholds as your own business use warrants.
CoreLogic HPI Forecasts features:
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 caused by market momentum, mean-reversion, and exogenous economic shocks like changes in the unemployment rate.
Rigorous CoreLogic HPI Forecasts model validations—including back-tested actuals vs. forecasts, cumulative forecasting errors at the CBSA level, and upper/lower 95% confidence-level intervals—are available to subscribers on request.
A recent addition to our property valuation and trends suite of solutions, CoreLogic Case-Shiller Indexes strengthen our industry-leading home price index data, analytics, and services.
CoreLogic Case-Shiller Indexes offer:
CoreLogic CSI helps securities investors, mortgage banks, servicing operations, and government agencies:
Complementing CoreLogic Case-Shiller Indexes, we also offer a number of ancillary advisory services, market research information, and delivery options.
An advanced analytics tool, the HPI Valuation Engine facilitates estimating market values for single or multiple properties using data from the CoreLogic Housing Price Index.
The HPI Valuation Engine has a 100% hit rate and requires only three property-level inputs—ZIP code, prior sales date, sales amount—to trigger a proprietary intelligent-cascade mechanism that generates a market value. This cascade selects the property’s ideal tier and geographic combination, maximizing the probability its estimated value will be within 10% of actual value.
HPI Valuation Engine results include a confidence score, an assessment of the accuracy of the estimate that quantifies the level of confidence in it. This allows clients to identify property values rapidly while prioritizing their levels of risk according to market exposure.
Every month, we combine ZIP code-level public recordings of home sales, sale prices, and foreclosure filings with mortgage performance data into a single dataset that provides a unique monthly snapshot of market trends. MarketTrends helps you identify potential markets for expansion, spot valuation trends, analyze performance, and perform benchmarking.
The extensive, detailed MarketTrends market health coverage lets you easily:
MarketTrends delivers comprehensive early views of current real estate market trends at all geographic levels, critical factors in evaluating investment risks.
ListingTrends supplies the basis for understanding real estate housing risk from a real-world, on-the-ground perspective. Statistics derived from ListingTrends modeling and analytics provide a first look at the housing trends likely to determine the market’s future direction—including price trends, inventories, absorption rates, and days-on-market.
Solidly grounded in the market realities of post-recession America, ListingTrends combines real estate and MLS data to help you:
Since its analytics and modeling results derive in part from CoreLogic MLS partners’ monthly data updates, ListingTrends provides a realistic look at the current real estate supply and pricing trends—at all geographic levels.
Since the vast majority of commercial properties are not held in commercial mortgage-backed securities (CMBS), access to non-securitized property data is critical to understanding the commercial marketplace. CommercialTrends pulls data from our industry-leading non-securitized property database and combines it with tiered-pricing information and other data resources.
Updated monthly, CommercialTrends analyzes and models this combined data to create a single multi-layered snapshot of current commercial property and market trends—with manifold uses:
We’ve aggregated commercial property data from both securitized and non-securitized properties since 2000—our database currently includes more than 35 million commercial properties. We update it every day, so the data is fresh and relevant. It's also complete, with 97% of all U.S. real estate transactions for all property types, including commercial, industrial, and vacant land.
RentalTrends provides vital time series metrics down to the ZIP code level that help you evaluate the Single Family Residential (SFR) investment and property management process. RentalTrends offers extensive coverage of rent amounts, capitalization rates and vacancy rates derived from industry leading data and modeling, allowing you to reduce time and minimize uncertainty in the rental market.
RentalTrends is a critical tool for:
Leveraging CoreLogic Partner InfoNet™, public records, the Rent Amount Model and AVMs, RentalTrends provides a realistic look at the current single family residential rental market for a broad and comprehensive set of markets.
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