Disclaimer
About the Data, Models and Methods
The insights, indices, scores, and recommendations provided on this website are generated using a technology-enabled, data-driven and statistical modelling framework. These outputs are intended to assist users in understanding market trends and rationalising the home selection and evaluation process. They should not be construed as financial, legal, or investment advice.
Data Sources
- Data is collected from a combination of primary surveys and publicly available sources.
- Rental estimates are derived from prevailing rentals of nearby properties, using publicly available data sources such as IGR-registered rental agreements and other market references.
Data Processing and Limitations
- Real estate data is large-scale, sourced from multiple origins, and is often unstructured, inconsistent, and noisy.
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To address this, the data undergoes multiple stages of processing, including standardisation, cleaning, outlier removal, and geocoding.
- Machine learning techniques and statistical methods are used to structure and refine the data.
- Geocoding is carried out using third-party services (such as Google APIs), which may occasionally result in inaccuracies.
Despite rigorous processing, data discrepancies may still exist, which can impact model outputs.
Model Assumptions and Market Behaviour
- Certain market phases or time periods may deviate from established economic or real estate theories.
- In such instances, model outputs may appear inconsistent with short-term market behaviour.
- While the models have been tested and found reliable in most scenarios, particularly over the long term, no model can fully capture all market dynamics at all times.
Use of Regression and Data Augmentation
- Transaction, supply, and rental data are often limited at any given point in time and may not fully represent the entire city or regional market.
- Advanced regression and statistical models are therefore used to augment and populate datasets, including price estimation, household density, rental values, and land price indicators.
Potential Reasons for Inaccurate Predictions
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1. Geocoding Errors:
Property locations are geocoded using third-party mapping APIs. As real estate valuation is highly location-sensitive, any error in geocoding may lead to incorrect outputs
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2. Infrastructure Impact Assumptions:
- Upcoming infrastructure projects are mapped using GIS tools, and travel-time improvements are estimated accordingly.
- These estimates do not fully account for future traffic patterns, congestion, or behavioural changes, which may affect actual outcomes.
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3. Rental Yield Estimation:
Rental yield calculations are based on average rentals within the surrounding micro-market and do not factor in project-specific quality attributes, amenities, or management standards.
Developer and Project Ratings
- Developer and project ratings are derived from a structured grading model based on the performance of ongoing projects.
- The model assigns weighted scores to defined performance parameters.
- Data is sourced through quarterly primary surveys and public information.
- Ratings are dynamic in nature and may change as new or updated information becomes available.
Liability Disclaimer
This platform is a technology- and statistics-driven decision-support tool. By using this website, the user acknowledges and accepts the inherent limitations of data, models, and assumptions used.
Liases Foras, along with its promoters, directors, employees, and associates, does not assume any financial, legal, or other liability for errors, omissions, or inaccuracies in recommendations or outputs, whether arising from data discrepancies, modelling assumptions, third-party services, or any human, system, or automated (bot) error.
Users are advised to independently verify information and seek professional advice before making any financial or investment decisions.
Terms and Conditions of Use
Welcome to https://www.propertyscience.com (the "Site"). This Site is owned and operated by Liases Foras Real Estate Ratings and Research Pvt. Ltd. ("Company," "we," "us," or "our"). By accessing or using this Site, you ("User," "Visitor," or "Subscriber") agree to be bound by these Terms and Conditions.
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1. Acceptance of Terms
By using the Site, you represent that you have read, understood, and agree to these Terms. If you are using the Site on behalf of a company or legal entity, you represent that you have the authority to bind such entity to these terms. If you do not agree, you must immediately cease all use of the Site.
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2. Scope of Services
The Site provides access to real estate research, data analytics, project risk ratings, and market reports ("Services"). These Services are for informational purposes only and do not constitute financial, legal, or investment advice.
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3. Intellectual Property Rights
- Ownership: All content, including but not limited to data, text, graphics, logos, algorithms (such as the Urban Price Setting Model), and software, is the exclusive property of Liases Foras.
- Limited License: Users are granted a non-exclusive, non-transferable, revocable license to view and download information for personal or internal business use only.
- Prohibitions: Users shall not copy, modify, reverse engineer, distribute, or sell any information obtained from the Site. Automated data scraping, "crawling," or use of any bot to extract data is strictly prohibited.
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4. Nature of Information (Disclaimer)
- "As Is" Basis: All materials and data are provided "as is" and "as available." While we strive for accuracy through primary surveys and "mystery shopping" techniques, Liases Foras does not warrant that the information is error-free, complete, or current.
- Independent Research: Liases Foras is a non-broking, independent research firm. Recommendations are based on unbiased data and are not influenced by developers or brokers.
- No Professional Advice: The Site does not provide legal vetting, title checks, or structural quality assessments. Users are advised to engage qualified legal and technical professionals for due diligence.
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5. Membership & Payments
- Subscription: Access to detailed project information requires a mandatory subscription.
- Refund Policy: Once a membership is activated, no refunds will be processed under any circumstances. Users are encouraged to view the "Catchment Summary" to assess available options before paying.
- Account Security: Users are responsible for maintaining the confidentiality of their login credentials and all activities occurring under their account..
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6. Limitation of Liability
To the maximum extent permitted by law, Liases Foras, its directors, and employees shall not be liable for any:
- Direct, indirect, incidental, or consequential damages arising from the use or inability to use the Site.
- Losses resulting from investment decisions made based on the data provided.
- Technical failures, malware, or loss of data resulting from downloading materials from the Site.
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7. Indemnification
The User agrees to indemnify and hold harmless Liases Foras against all claims, losses, and damages (including legal fees) arising from the User's breach of these terms or misuse of the Site’s information.
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8. Privacy & Data Collection
By using the Site, you consent to the collection of general data (IP address, domain name, time spent) and personal information (email, phone number) as outlined in our Privacy Policy.
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9. Third-Party Links
The Site may contain links to third-party websites. Liases Foras has no control over, and assumes no responsibility for, the content or practices of these external sites.
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10. Termination
Liases Foras reserves the right to terminate or suspend access to the Site at its sole discretion, without notice, for conduct that violates these Terms or is harmful to the Company’s interests.
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11. Governing Law & Jurisdiction
These Terms are governed by the laws of India. Any disputes arising out of the use of this Site shall be subject to the exclusive jurisdiction of the courts in Mumbai.
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