Building Assets, Building Credit: Creating Wealth in by Nicolas P. Retsinas, Eric S. Belsky, Edward Gramlich

By Nicolas P. Retsinas, Eric S. Belsky, Edward Gramlich

Poor humans spend their cash dwelling day after day. How can they collect wealth? within the usa, homeownership is frequently the reply. houses not just supply take care of but additionally are resources, and hence a way to create fairness. personal loan credits turns into a very important issue. extra american citizens than ever now have a few entry to credits. even though. thank you largely to the expansion of worldwide capital markets and larger use of "credit scores," no longer all householders have benefited both from the opened spigots. diverse phrases and stipulations suggest that a few candidates are overpaying for personal loan credits, whereas a few have become in over their heads. And the door is left huge open for predatory creditors. during this vital new quantity, entire analysts research the placement, illustrate its ramifications, and suggest steps to enhance it. at the present time, low-income americans have extra entry to credits than ever sooner than. The problem is to extend the probabilities that homeownership turns into the recent pathway to asset-building that everybody hopes it's going to be.

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Additional resources for Building Assets, Building Credit: Creating Wealth in Low-income Communities (James a. Johnson Metro Series)

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In the 1960s and 1970s, loan underwriters manually reviewed information on loan activity and repayment histories. If any of the information suggested that an applicant’s past behavior fell below a lender’s standards, the loan was denied. Compensating factors, such as the size of the down payment or stability of employment, were considered at the discretion of individual underwriters. Today, expanded information on loan activity and repayment history is statistically modeled to predict probabilities and severities of loan losses.

06 2001 1989 Household type Vehicles Percent of households holding the asset Table 2-1. 6 By contrast, much larger shares of higher-income households own assets of all kinds. Although ownership rates of other financial assets remain low in the second-lowest quintile, they are still multiples higher than those of the lowest quintile. Not surprisingly, middle- and higher-income quintile households have even higher ownership rates of all assets. Financial Assets Ownership of financial assets is critical to overall wealth building.

Credit Scoring and Automated Underwriting Despite data inaccuracies and incomplete reporting, credit scores have proven highly predictive of loan performance. This has accelerated their diffusion throughout the financial services industry (Feschbach and Schwinn, 1999). While it is entirely possible, and in fact likely, that improved data and better models could make scores even more accurate, they represent a major advance over manual review of credit histories. Automated mortgage underwriting models use credit scores as just one variable, albeit an important one, in a statistical model of credit risk.

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