Multivariate.... the re-launch....

 

... science on data ... providing knowledge discovery

 
 
 

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Quantitative Cartography

RMBS & CRA Mortgages

TheEnd

 
 

Mortgage Loan Applications:
Borrowers are less likely to move or trade up to another property especially within the current declining appraisal environment found nationwide. This dynamic is exponential for CRA Loans ( Community Reinvestment Act 1977)  From a mortgage securitization perspective, the most attractive feature of  these loans is that they are less negatively convex than agency conforming mortgages. Convexity refers to the price/yield curve with negative convexity meaning that the price/yield curve flattens as interest rates decline. CRA securities tend to benefit from limited extension risk (they are priced to a slow base prepayment speed) and less call risk because of limited refinancing alternatives for these borrowers. To evaluate CRA - backed securities, we calibrated our agency conforming prepayment model in two ways: 1) we slowed the housing turnover component of the model to be consistent with the slow baseline speed of loans; 2) we tempered the refinancing function to account for the CRA's lower sensitivity to interest rates. We have compared the projected prepayment sensitivity profiles of loans to agency conforming loans. Using this adjusted model, we can then compared nominal and option-adjusted spreads to other sectors in the mortgage and asset-backed markets. Our results show that securities compare favorably to equivalent agency securities on both a nominal spread basis and an option-adjusted spread basis. Under a declining interest rate scenarios, the better-quality loans in a conforming loan portfolio will self-select out through refinancing. Borrowers with better credit scores (660 and greater) realize that the cost/benefit of refinancing works to their advantage as rates decline. At the other end of the spectrum, borrowers with lower credit scores either cannot get refinanced or would have to do so at a cost that would be unfavorable. The net result in a declining rate environment is that the better loans refinance out.

These efforts provide data access and statistical solutions that combines advanced analytics, innovative technology, and tailored algorithms that would deliver quick time-to-benefit and improve financial and operational performance throughout the customer acquisition and portfolio management processes for the US Mortgage market. Specifically 

          Create and manage all data to identify and profile ALL US Mortgage Loans
          Track and profile Post-Modification Loan Performance·
          Explore correlations of these modification onto the property characteristics
         
Tag/Flag client prospects based upon these templates
          Use these individual loans to establish RMBS pricing using cross correlation volitility


         


PROFESSIONAL SUMMARY- Sold and managed several projects to Fortune 100 clients while delivering strategic insights to senior level management. An experienced business intelligence company with more than 25 years experience in synthesizing data by applying multivariate techniques across a wide range of industries uncovering leveragable opportunities while dedicated to organizational growth and profitability. Highly skilled with predictive classification techniques, ARIMA time series approaches, CHAID/Tree decomposition, neural algorithms, and creating variable transformations from optimized binning. Data sources include large transactional files, geodemographically enhanced client master files, syndicated survey and web activity logs. Able to translate client concerns into deliverables that provide immediate impact using excellent communication and interpersonal skills to provide deep dive working end to end solutions.  email to  Daniel Kocis  help@multivariate.com or visit  http://www.linkedin.com/in/multivariate

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