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  • user warning: Table './mysmp_drupal/cache_filter' is marked as crashed and should be repaired query: UPDATE cache_filter SET data = '<h2>Weighted average loan age definition</h2><br /><b class=\"normalize\">Weighted average loan age</b>, or <b class=\"normalize\">WALA</b>, is a dollar weighted average loan age of the loans which comprise a mortgage backed security, or other pooled security.&nbsp; The WALA figure typically is considered to provide a more accurate assessment of the maturity of a mortgage-backed security investment than the <a href=\"/bonds/weighted-average-maturity.html\" title=\"weighted average maturity\">weighted average maturity</a> (WAM). WALA figures are one of the three primary elements on which mortgage pool collateral evaluation is based; the other two are the identity of the issuer or guarantor and the gross weighted average coupon for the underlying mortgage investments. Investment pools comprised of federally guaranteed loans tend to be a safer investment, but may be slower to produce profits than comparable conventional mortgage loan pools. Gross weighted average coupon figures, along with WALA, are good indicators of the likelihood that loans will be repaid early and thus provide limited potential for profits to the investor.<br /><br /><h2>WALA vs. WAM</h2><br />WALA is the mathematical inverse of WAM, although both figures are generally used to analyze the likely profitability of a mortgage-backed investment. WALA is derived by multiplying the original principal balance of each mortgage in the pool by the number of months since the mortgage loan was originated. Conversely, WAM is calculated by adding up the remaining months on each mortgage and weighting it according to the financial value that each mortgage currently holds.<h2><br />Applications of WALA</h2><br />WALA figures are generally used to analyze portfolios of mortgage securities. Typically these mortgage pools are offered by governmental agencies and government sponsored entities, including the Government National Mortgage Association (Ginnie Mae), the Federal National Mortgage Association (Fannie Mae) and the Federal Home Loan Mortgage Corporation (Freddie Mac). These agencies purchase mortgages on the secondary mortgage markets and then repackage and resell them as mortgage-backed securities to large scale investors. WALA figures help investors determine the relative values of various mortgage-backed investment options in order to identify the best prospects for investment.<br /><br /><h2>Limitations of WALA</h2><br />The constituent mortgages held in a mortgage-backed security or portfolio of securities do not remain constant over time. As older mortgages reach maturity, newer ones are added to maintain the overall size of the investment pool; this changes the underlying figures upon which WALA calculations are based. Some of the mortgages held in the security are likely to default, further skewing the WALA calculations. As a result, WALA is usually refigured by investment analysts on a regular basis in order to provide the most accurate picture of the overall investment as compared to others of the same type. These recalculations typically take place each month and are used to calculate ongoing returns on investment from the overall mortgage pool; this allows investors to make informed financial decisions when investing in the mortgage-backed securities market.<br type=\"_moz\" />', created = 1566782945, expire = 1566869345, headers = '', serialized = 0 WHERE cid = '1:99d24b5a4c954e49e120d6099835b8ff' in /var/www/html/mysmp/includes/cache.inc on line 109.
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Weighted Average Loan Age

Weighted average loan age definition


Weighted average loan age, or WALA, is a dollar weighted average loan age of the loans which comprise a mortgage backed security, or other pooled security.  The WALA figure typically is considered to provide a more accurate assessment of the maturity of a mortgage-backed security investment than the weighted average maturity (WAM). WALA figures are one of the three primary elements on which mortgage pool collateral evaluation is based; the other two are the identity of the issuer or guarantor and the gross weighted average coupon for the underlying mortgage investments. Investment pools comprised of federally guaranteed loans tend to be a safer investment, but may be slower to produce profits than comparable conventional mortgage loan pools. Gross weighted average coupon figures, along with WALA, are good indicators of the likelihood that loans will be repaid early and thus provide limited potential for profits to the investor.

WALA vs. WAM


WALA is the mathematical inverse of WAM, although both figures are generally used to analyze the likely profitability of a mortgage-backed investment. WALA is derived by multiplying the original principal balance of each mortgage in the pool by the number of months since the mortgage loan was originated. Conversely, WAM is calculated by adding up the remaining months on each mortgage and weighting it according to the financial value that each mortgage currently holds.


Applications of WALA


WALA figures are generally used to analyze portfolios of mortgage securities. Typically these mortgage pools are offered by governmental agencies and government sponsored entities, including the Government National Mortgage Association (Ginnie Mae), the Federal National Mortgage Association (Fannie Mae) and the Federal Home Loan Mortgage Corporation (Freddie Mac). These agencies purchase mortgages on the secondary mortgage markets and then repackage and resell them as mortgage-backed securities to large scale investors. WALA figures help investors determine the relative values of various mortgage-backed investment options in order to identify the best prospects for investment.

Limitations of WALA


The constituent mortgages held in a mortgage-backed security or portfolio of securities do not remain constant over time. As older mortgages reach maturity, newer ones are added to maintain the overall size of the investment pool; this changes the underlying figures upon which WALA calculations are based. Some of the mortgages held in the security are likely to default, further skewing the WALA calculations. As a result, WALA is usually refigured by investment analysts on a regular basis in order to provide the most accurate picture of the overall investment as compared to others of the same type. These recalculations typically take place each month and are used to calculate ongoing returns on investment from the overall mortgage pool; this allows investors to make informed financial decisions when investing in the mortgage-backed securities market.
Tim Ord
Ord Oracle

Tim Ord is a technical analyst and expert in the theories of chart analysis using price, volume, and a host of proprietary indicators as a guide...

Tradingsim.com
Day Trading Simulator

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