MIAC Analytics provides residential property analytics services to help our clients gain better insight into the relative risk and value of the properties in their secured mortgage portfolio.
Our property analytics tools for residential property price and rental valuation have been developed working closely with our partners. Combined use of these tools can also provide yield insights into Buy to Let (BTL) assets.
These services are available to our clients as in-house or outsourced solutions. To find out more about any of these products contact us using the from at the bottom of the page.
Assessed at County level for England, Wales and Scotland, with additional granularity in London where revaluation using London borough indices is available. Property type is also assessed to increase accuracy and avoid generalised output.
The additional granularity, in terms of both geography and property type specificity, provides insight that is not available with the freely available indices.
We can also provide risk-based revaluation solutions for residential portfolios – incorporating a risk driven set of policy rules to satisfy internal governance requirements whilst minimising the spend on collateral revaluation.
A property level output providing an updated estimation of the collateral value of each property in the residential secured lending book
Rental indices at the most granular level available in the market. Matching the County and London Borough geographies in our HPI service, as well as including separate values for number of bedrooms, this product offers unrivalled insight for BTL portfolio management purposes. Provides the ability to track Interest Coverage Ratios (“ICRs”) over time to coincide with the credit risk assessment of BTL mortgages at underwriting stage, helping to inform behavioural default models for portfolio monitoring insight.
Here, our tools allow you to project anticipated rental income at the individual property level driven by detailed characteristics and observed comparables from the surrounding area.
Our Rental Automated Valuation Model (R-AVM) utilises a large database of actual rents received and rental asking price data. This results in a property-level valuation on over 95% of properties in a typical BTL portfolio.
This online application provides a wide range of insight into property dynamics for individual postcodes and the surrounding area. It produces a Rental AVM that is fully aligned with our portfolio solution as well as summary statistics for both rental and collateral values in the area as well as data on underlying comparables.
Used in underwriting and/or in-house surveyors teams for valuation evidence or quality assurance.
* Rental index developed by MIAC using underlying data from Zoopla Property Group Ltd, © 2014