<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">This paper examines mortgage delinquency rates for loans in each state and Washington, DC from 2004 through 2009 in order to gain insight into the key factors that drive residential mortgage delinquency.<span style="mso-spacerun: yes;">&nbsp; </span>Models are estimated for 30-day, 60-day, 90-day, 90+ day, and all delinquency rates.<span style="mso-spacerun: yes;">&nbsp; </span>Prime and subprime loans are modeled separately in cross-sectional time series regressions.<span style="mso-spacerun: yes;">&nbsp; </span>The findings suggest that borrower income, type of loan, and the general health of the economy remain important in determining delinquency risk.<span style="mso-spacerun: yes;">&nbsp; </span>Also, factors that determine 30- and 60-day delinquency rates differ from those that determine 90-day and 90+ day delinquency rates.<span style="mso-spacerun: yes;">&nbsp; </span>In addition, factors that determine prime delinquency rates differ from those that determine subprime delinquency rates.<span style="mso-spacerun: yes;">&nbsp; </span>Finally, borrower race does not consistently explain delinquency rates.<span style="mso-spacerun: yes;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span></p>

A study is done on Net Asset Value (NAV) of equity REITs from 1993 to 2006. The value (growth) determination of REITs is investigated based on NAV per share as opposed to book value per share since the underlying value of the REITs assets (NAV) drives the trading decision. The NAV to Market ratio (NM) is evaluated as a risk measure when used in a Fama-French and Carhart model setting. We find this measure contributes only 0.10% to the REIT risk premium.

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This article evaluates a financial literacy curriculum at the Howard University (HU) School of Business, by measuring the financial knowledge acquired after participating in a variety of programs. To evaluate the HU curriculum, the National Jump$tart Coalition (NJC) survey was administered to collect data on financial knowledge and demographic characteristics. Descriptive statistics and regression analysis were used to study the data. The results show that HU-Business students performance was comparable to Jump$tarts national average for college students and Business/Economics students. HU Business students scored higher than the Jump$tarts African American student sample. The regression analysis helped identity key factors that influence financial awareness for HU students including having checking account, electronic tax preparation, taking a course in personal finance or money management, GPA, and frequently balancing check book.

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