Liases Foras offers transparent, scientific,
data-driven
and
unbiased valuation solutions
We carry out valuation for large under-construction project, residual valuation of land, income/direct sale comparison valuation of diverse asset class such as residential, office building, hotel, mall, SPV/portfolio/entity valuation through sum of the parts analysis (SOTP). We also undertake retail valuation of independent house, apartment unit, commercial office or retail shop for banks and home loan providers.
Qualified experts with over 20 years of experience, proven track record and accomplishments form the technical team of valuation. The team consists of MRICS, Chartered Accountant, MBA, Architects and Planners. The technical team strength is augmented with a fleet of over 60 surveyors spread across major cities in India. While data is Liases Foras biggest strength, it is the scientific framework, the research and the contribution in the area of price and valuation that separates us from others.
Land Valuation
Project & Valuation for Diversified Asset Classes
Housing Loan Valuation
Property Valuation
Rental Assessment
Liases Foras’ team of dedicated chartered surveyor (civil engineers) provides retail valuation to the leading home loan lenders in locations of Mumbai, MMR region, Pune and Bengaluru. The whole process of the retail valuation is streamlined through our valuation work flow technology product - “Crystal”. Integrating the entire process of valuation including:
Job allocation and monitoring the real-time surveyors works and movements.
Surveyors use mobile application to fill up the survey reports customized as per respective lenders.
Technical Manager at office, update and validates the reports carried out by the surveyors at real time basis.
Liases Foras big data provides nearby comparable from, primary, secondary & registration sources.
Ressex plugin also aid the micro market dynamics providing the quarterly & annual trends of prices, sales & inventory along with distribution of the prices.
Crystal enables us to maintain every single valuation in the form of structured data that can be made accessible to the lender to analyse their portfolios.
LF offers data driven valuation, price indexation and risk assessment of existing home loan mortgage portfolios of banks HFCs.
The deliverable includes:
A big data on property valuation consists of primary, secondary, registration, and
valuation data.
RCS certified valuers.
A quality inspection panel.
Independent Liases Foras is a non-broking real estate research company.
Qualified experts with over 20 years of experience, proven track record and accomplishments form the technical team of valuation. The team consists of MRICS, Chartered Accountant, MBA, Architects and Planners. The technical team strength is augmented with a fleet of over 60 surveyors spread across major cities in India. While data is Liases Foras’ biggest strength,it is the scientific framework, the research and the contribution in the area of price and valuation that separates us from others.
Our work in decoding the science of property pricing is aimed at bringing transparency in the area of property prices and valuation. Every city maintains a specific price setting at any point of time. Any change in price of a particular property alters this setting. The price of a property is governed by four fundamental factors: distance, density, surroundings and product. The Urban Price Setting model is a simulation model that provides accurate market valuation of any property (old, new, good or bad) in any city in India.
The magnet theory describes that spatial mobility (polarisation) to a specific region
depends on the internal
magnet (attractiveness) of the region and how economic hubs have their influence on the
region.
These internal magnets have been derived as a product of built-up area densities
integrated with the income index
of demographics (also referred to as economic densities). This provides a powerful
relative index representing
the attractiveness of the locations. A location with a higher index represents higher
attractiveness.
The study finds that real estate prices are highly correlated with the economic
densities of demographics.
Measurement of prospective economic densities caused by improvements in connectivity and
changes in economic hub
intensities over time helps project future prices and growth patterns.
While property can be sold at any price, the time it takes to sell significantly affects its valuation. By introducing sales velocity as the missing dimension in real estate valuation—especially within the discounted cash flow (DCF) method—we can mitigate the risk of overvaluation due to irrational price increases.



































