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Real Estate InvestorGenerated accuracy model review: 2026-05-06

Loan-to-Value Calculator accuracy and testing

This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.

Formula source

  • LTV = loan amount / appraised value x 100. Equity = appraised value - loan amount.

Test cases

Default input regression check

Generated from the checked-in default inputs and calculate function.

Inputs

  • Loan Amount: $600,000
  • Appraised Value: $800,000

Expected outputs

  • Loan-to-Value Ratio: 75.00%
  • Estimated Equity: $200,000.00
  • Equity Percentage: 25.00%

Known limitations

  • This calculator does not determine loan eligibility or pricing. Lenders may use different values, haircut assumptions, property types, or underwriting standards.

Assumptions

  • Loan amount and appraised value are entered by the user.
  • The calculator does not model lender overlays, appraisal review, reserves, mortgage insurance, or debt-service coverage.
  • Calculations run locally in your browser and are not stored by Calwarden.

Unit handling

  • Loan Amount accepts values in $.
  • Appraised Value accepts values in $.
  • Loan-to-Value Ratio is displayed as a percentage.
  • Estimated Equity is displayed as currency.
  • Equity Percentage is displayed as a percentage.

Rounding rules

  • Number displays use up to 2 decimal places in the calculator UI.
  • Currency outputs are displayed with standard US dollar formatting.
  • Percent outputs are displayed with two decimal places.
  • Input precision follows configured step values where provided.

Version history

1.0.0 - 2026-05-06

Generated accuracy and testing page from the current loan-to-value-calculator calculator definition.

Change log

2026-05-06

Published default regression test documentation and metadata fallbacks for Loan-to-Value Calculator.

Calculator transparency

Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.

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