Each scenario includes a sample Cortex Code input and the corresponding SQL example, highlighting potential refinance opportunities based on equity, loan structure, and interest rate characteristics.
Scenario: First Refinance Opportunities (Removing Mortgage Insurance)
Use this scenario to identify properties where the borrower may now qualify for a first refinance due to improved equity, including cases where mortgage insurance may be removed.
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Cortex Code input:
Write an SQL query that returns properties in Colorado where the home was purchased within a specific date range, the lien was created within the same period, the loan type is FHA, the loan-to-value ratio is below 80%, and the loan is not in default.
SQL example:
SELECT
address,
city,
county,
deed_market_value_price,
lien1_amount,
hc_value_estimate,
(
lien1_amount / NULLIF(hc_value_estimate, 0) * 100
) AS ltv_ratio,
lien1_contract_date,
deed_date,
lien1_loan_type
FROM
**********
WHERE
state ILIKE '%CO%'
lien1_loan_type ILIKE '%FHA%'
AND TRY_TO_DATE (deed_date) BETWEEN '2023-1-01'
AND '2023-12-31'
AND lien1_contract_date BETWEEN '2023-1-01'
AND '2023-12-31'
AND (
lien1_amount / NULLIF(hc_value_estimate, 0) * 100
) < 80
AND default_yn = 0
ORDER BY
city,
address;
Scenario: Limited Equity at Purchase, Improved Loan-to-Value Today
Use this scenario to identify properties that were purchased with little to no equity but now meet standard refinance thresholds due to appreciation or principal paydown.
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Cortex Code input:
Write an SQL query that returns properties in [insert state here] where the home was purchased within a [specific date range], the original lien-to-price ratio was greater than 95% at purchase, and the current total loan-to-value ratio is 80% or less.
β
SQL example:
SELECT
address,
city,
county,
deed_price,
lien1_amount,
lien_amount_total,
hc_value_estimate,
(
lien1_amount / NULLIF(
TRY_TO_DECIMAL (REPLACE (deed_price, '$', '')),
0
)
) AS lien1_to_price_ratio,
(lien_amount_total / NULLIF(hc_value_estimate, 0)) AS total_lien_to_value_ratio,
lien1_contract_date,
deed_date
FROM
XXXXX
WHERE
TRY_TO_DATE (deed_date) BETWEEN '2023-10-01'
AND '2023-10-31'
AND lien1_contract_date BETWEEN '2023-10-01'
AND '2023-10-31'
AND (
lien1_amount / NULLIF(
TRY_TO_DECIMAL (REPLACE (deed_price, '$', '')),
0
)
) > 0.95
AND (lien_amount_total / NULLIF(hc_value_estimate, 0)) < 0.80
AND TRY_TO_DECIMAL (REPLACE (deed_price, '$', '')) > 0
AND hc_value_estimate > 0
ORDER BY
city,
address;
Scenario: Cash-Out Refinance Candidates
Use this scenario to find high-equity properties that may be good candidates for a cash-out refinance based on property value, existing lien balances, interest rates, and loan seasoning.
Cortex Code input:
Write an SQL query that identifies high-equity properties in California where the home value exceeds $200K, total liens are less than the home value, the loan is not in default, the first lien interest rate is above 6.5%, and the loan is at least six months old. Exclude construction, modification, and assumption loans.
SQL example:
SELECT
address,
city,
county,
state,
zipcode,
property_type,
year_built,
living_area,
lot_size,
hc_value_estimate,
lien1_amount,
lien1_loan_type,
lien1_interest_rate_used,
lien1_contract_date,
lien2_amount,
lien2_loan_type,
lien2_interest_rate_used,
lien2_contract_date,
hc_value_estimate - lien_amount_total AS est_equity,
ROUND(lien_amount_total / hc_value_estimate, 4) AS ltv_percent,
ROUND((lien1_amount + COALESCE(lien2_amount, 0)) / hc_value_estimate, 4) AS combined_ltv_percent,
owner_name,
last_close_date,
last_close_price,
tax_year,
tax_amount_annual,
lien1_lender_name,
lien2_lender_name,
default_yn
FROM
**********
WHERE
state ILIKE 'CA'
AND hc_value_estimate > 200000
AND lien_amount_total > 0
AND lien_amount_total < hc_value_estimate
AND (default_yn = 0 OR default_yn IS NULL)
AND lien1_interest_rate_used > 6.5
AND lien1_contract_date < DATEADD(MONTH, -6, CURRENT_DATE)
AND lien1_loan_type NOT IN ('CONSTRUCTION', 'MODIFICATION', 'ASSUMPTION')
ORDER BY
combined_ltv_percent ASC,
est_equity DESC;
Scenario: Second Mortgage or HELOC Opportunities
Use this scenario to identify properties that may be strong candidates for a second mortgage or HELOC based on available equity, favorable first-lien interest rates, and the absence of an existing second lien.
Cortex Code input:
Write an SQL query that finds high-equity properties where the home value exceeds $200K, the first lien balance is less than the home value, the first lien interest rate is below 5%, there is no second lien on record, and the loan is not in default.
SQL example:
SELECT
address,
city,
zipcode,
property_type,
year_built,
hc_value_estimate AS home_value,
lien1_amount,
lien1_interest_rate_used,
lien1_lender_name,
lien1_contract_date,
(hc_value_estimate - lien1_amount) AS estimated_equity,
(lien1_amount / NULLIF(hc_value_estimate, 0)) * 100 AS combined_ltv
FROM
XXXXX
WHERE
hc_value_estimate > 200000
AND lien1_amount < hc_value_estimate
AND lien1_interest_rate_used < 5
AND default_yn = 0
AND lien2_amount IS NULL
AND NOT hc_value_estimate IS NULL
AND NOT lien1_amount IS NULL
ORDER BY
combined_ltv ASC,
estimated_equity DESC;
