Ideal for Investors that intend to purchase mortgage NPL portfolios but do not have time and resources to analyse the complex, user-unfriendly, multi-asset excel spreadsheets, usually provided by banks

We will do the hard work for you: we have technologies, expertise and resources. Our team of dedicated professionals, with long terms experience in structured credit, risk management and IT programming, can quickly transform unreadable excel spreadsheets into web based representations of NPL portfolios with itemised visualizations, identification of web-based market data-points, real-time, web-based valuations and extraction functionalities.

We will rapidly convert unreadable excel spreadsheets data into:

Organised extraction and representation of loan-level data

Instant visualisations of underlying properties

Identification of market comparables based on market offers extracted for similar properties in the same street/ area

Instant and Algorithmic assessment of Market Values based on user selection / default selection of market data-points

Wide range of portfolio extraction functionalities e.g. Borrower Type, GBV, Assessed Market Value, Assessed Market Value Range, Price-to-GBV, Property Type, Location, Location Type

We will allow you to submit informed offers, beat the competitors on time, substituting discretionary assessments with algorithmic market value assessments based on comparables sourced from selected authoritative, real estate portals.



Online NPL Platform

Accessible to selected buyers

Enabling searches, extractions and analysis of individual loans and loan portfolios

Rapid and reliable loan valuations

Continuous bid processes

Within a Secure, User-friendly Environment

Replacing costly and time-consuming one-off auctions


Customized search-engine functionalities to extract, filter and analyze individual loans and loan portfolios

Fast access to a comprehensive set of loan level data

Uniquely developed Valuation Vector

Proprietary analytics

Access to a diverse range of acquisition options and re-financing opportunities


Transparent, reliable and supportable loan data

Increased number of potential bidders

Reliable valuation and valuation assumptions

Usable for accounting and regulatory reporting

Positive impact on LGDs

Lower loss allowances within the forthcoming IFRS 9 framework

Better loan servicing

Improved dialogue with auditors, rating agencies and regulators

Valuation Vector


Implementation Process


Valuation of Credit Assets – Forthcoming Challenges

In July 2014, the International Accounting Standards Board (IASB) issued the final version of IFRS 9 Financial Instruments (IFRS 9, or the standard), which introduces new impairment requirements based on an expected credit loss model (“ECL”) thus replacing the IAS 39 incurred loss model.

The standard introduces two types of loss allowances:

1. 12-month ECL are defined as the “portion of lifetime expected credit losses that represents the expected credit losses that result from default events on the financial instrument that are possible within the 12 months after the reporting date.“

2. Lifetime ECL which are losses resulting from default events, weighted from the probability of that default occurring.

The standard implements the requirement for the entities to provide for the measurement of Lifetime ECL with respect to a financial asset following the occurrence a significant increase in the Credit Risk Event. The standard does not provide a definition for such event: banks will be required to adopt measurements and indicators for significant risk changes on a collective and individual loan basis.

Banks are required to provide qualitative and quantitative disclosures under IFRS 7 to explain the inputs, assumptions and estimation used to determine significant increases in credit risk of financial instruments and any changes in those assumptions and estimates.

IFRS 9 requires the estimates of ECL to reflect reasonable and supportable information that is available without undue cost or effort, including the information about past events and current conditions and forecasts of future economic conditions.