Methodology & Assumptions

Our Philosophy

At Wealthpedia, we believe financial planning should be based on evidence, not guesswork.

Many calculators use fixed return assumptions that may not reflect real-world investor experiences. Wherever possible, Wealthpedia tools incorporate historical Indian market data, inflation data, and rule-based calculations to help users understand a range of potential outcomes.

Our mission: Help Indians make better financial decisions through transparent tools, historical data, and practical education.

Our Goal: Our goal is not to predict the future. Our goal is to help users make more informed financial decisions by understanding how different assumptions and market conditions can affect outcomes.

No Black Boxes. No Hype. Just Transparent Financial Tools.

Financial planning is too important to be built on mystery calculations.

At Wealthpedia, we believe users deserve to know exactly how a number is generated. That’s why we openly document the assumptions, formulas, data sources, and methodologies behind our tools whenever possible.

Our calculators are built using transparent, rule-based models, historical data, and clearly defined assumptions. We do not hide the engine behind vague claims, proprietary jargon, or marketing buzzwords. If a result depends on an assumption, we tell you what that assumption is. If a formula is used, we explain it. If there are limitations, we disclose them.

Where applicable, our tools incorporate Indian financial realities, including taxation rules, inflation, retirement planning assumptions, pension calculations, and historical market data. The objective is not to predict the future with certainty, but to help users understand how different variables can influence financial outcomes.

Wealthpedia is an independent educational platform. Our tools are not designed to push products, generate leads, or funnel users into advisory services. We believe financial education should stand on its own merits.

We encourage readers to question assumptions, verify calculations, and explore alternative scenarios. Better decisions come from understanding the numbers, not blindly trusting them.

Transparency is not a feature of Wealthpedia. It is the foundation on which every tool, article, and research project is built.

Methodology Overview

How Wealthpedia Builds Financial Tools

Every calculator and planning tool follows a structured development process:

Step 1: Research

We study the relevant financial rules, regulations, and methodologies.

Examples include:

• EPFO pension rules
• Income tax provisions
• Retirement planning frameworks
• Safe withdrawal rate research
• FIRE planning methodologies
• Mutual fund and equity investing principles

Step 2: Data Collection

Where applicable, we collect historical Indian financial data.

Examples include:

• Equity market returns
• Fixed deposit returns
• Inflation rates
• Asset class performance
• Retirement withdrawal outcomes

Step 3: Calculation Engine

Each tool uses transparent formulas and assumptions that are disclosed within the tool or supporting content.

We avoid black-box calculations whenever possible.

Step 4: Validation

Outputs are tested against:

• Known financial formulas
• Regulatory guidelines
• Historical data
• Multiple edge-case scenarios

Data Sources

The quality of any financial tool depends on the quality of the underlying data. Wealthpedia uses a combination of official government sources, regulatory publications, market data, and internally maintained historical datasets.

The table below summarizes the primary data sources used across Wealthpedia tools, calculators, and research articles.

Wealthpedia Historical Dataset

One of Wealthpedia’s key research assets is its internally maintained historical dataset covering multiple decades of Indian financial market history.

Dataset Coverage

Purpose of the Dataset

The Wealthpedia Historical Dataset is used to:

• Study long-term investing outcomes
• Analyze retirement sustainability
• Evaluate FIRE withdrawal strategies
• Compare asset class performance
• Test financial planning assumptions
• Build evidence-based financial tools

Important Note

Historical data is used to provide context and educational insights. Historical performance should not be interpreted as a guarantee of future results. Depending on the tool, Wealthpedia may use information from:

Government Sources

• EPFO
• RBI
• Ministry of Finance
• Income Tax Department

Market Data Sources

• NSE
• BSE
• AMFI
• Mutual fund disclosures

Wealthpedia Historical Databases

Certain tools use proprietary datasets compiled and maintained by Wealthpedia, including:

• Historical equity returns
• Historical fixed deposit returns
• Historical inflation data
• Asset class performance databases
• Historical retirement outcome databases

Historical Data Framework

One of Wealthpedia’s core differentiators is the use of historical Indian financial data.

Instead of relying solely on fixed return assumptions, selected tools analyze actual historical market environments.

This approach helps users understand:

• Best-case outcomes
• Average outcomes
• Challenging market periods
• Inflation-adjusted performance
• Sequence-of-returns risk

Historical performance does not guarantee future results, but it provides valuable context for financial decision-making.

Retirement & FIRE Methodology

Retirement planning involves uncertainty.

For this reason, Wealthpedia encourages users to test multiple scenarios rather than relying on a single projection.

Key variables include:

Investment Returns

Users may adjust expected returns based on their asset allocation and risk tolerance.

Inflation

Inflation assumptions significantly impact long-term retirement outcomes.

Withdrawal Rates

Withdrawal sustainability depends on:

• Market returns
• Inflation
• Retirement duration
• Asset allocation

Sequence Risk

Poor returns early in retirement can have a larger impact than poor returns later.

Where applicable, Wealthpedia tools incorporate historical analysis to demonstrate this risk.

Historical SIP Outcome Methodology

The Historical SIP Outcome Database evaluates investment outcomes using actual historical market return sequences.

Analysis may include:

• SIP start year
• Investment duration
• Rolling return periods
• Real returns after inflation
• Success and failure scenarios

This allows investors to understand how outcomes varied across different market cycles.

Financial Health Score Methodology

The Financial Health Score evaluates multiple dimensions of personal finance.

Key pillars include:

Emergency Preparedness

Ability to withstand unexpected expenses.

Savings Behaviour

Consistency and adequacy of savings.

Debt Management

Assessment of debt burden and repayment capacity.

Insurance Protection

Adequacy of risk coverage.

Investment Readiness

Long-term wealth-building preparedness.

Retirement Planning

Progress toward retirement goals.

Financial Stability

Overall balance between income, expenses, assets, and liabilities.

Scores are intended as educational indicators and not financial advice.

EPS Pension Calculator Methodology

The EPS Pension Calculator uses pension formulas based on Employees’ Pension Scheme provisions.

General pension calculation framework:

Monthly Pension = (Pensionable Salary × Pensionable Service) ÷ 70

Users should note that actual pension outcomes may depend on:

• EPFO regulations
• Service history
• Salary records
• Future regulatory changes

The calculator is intended for educational and planning purposes.

Users should treat calculator outputs as planning aids rather than guarantees.

Independence & Transparency

Wealthpedia is committed to:

• Transparent assumptions
• Data-driven analysis
• Educational content
• Independent research

We do not alter calculations to promote financial products or investment strategies.

Why Trust Our Data?

Reliable financial tools start with reliable data.

Wealthpedia uses a combination of publicly available government publications, regulatory documents, market data, and internally maintained historical datasets. Data is collected, reviewed, standardized, and periodically updated to improve consistency and accuracy across our tools and research.

Depending on the tool, data sources may include government agencies, financial regulators, stock exchanges, mutual fund industry disclosures, and historical economic datasets. Wherever possible, calculations are based on verifiable information rather than assumptions alone.

While every effort is made to maintain accuracy, users should independently verify critical information before making financial decisions.

Tool Validation Process

Before a calculator or planning tool is published on Wealthpedia, it undergoes multiple levels of testing and review.

Our validation process may include:

• Verification against published formulas and regulatory guidelines
• Comparison with known sample calculations
• Historical scenario testing
• Edge-case and boundary-condition testing
• Manual review of calculation outputs
• Cross-checking of assumptions and user inputs

The objective is not only to ensure mathematical accuracy but also to provide results that are understandable and useful for real-world financial planning.

Historical Data Limitations

Historical data can provide valuable perspective, but it cannot predict the future.

Many Wealthpedia tools use historical Indian market returns, inflation data, interest rate trends, and retirement outcome analysis to illustrate how financial plans may have performed under different economic environments.

However, future market conditions may differ significantly from historical experience. Returns, inflation, taxation, regulations, and economic conditions can change in ways that no historical dataset can fully anticipate.

Historical analysis should therefore be viewed as a decision-support tool rather than a forecast of future results.

What Makes Wealthpedia Different?

Many financial websites provide calculators. Wealthpedia aims to provide context.

Our approach combines:

• Original financial planning tools
• Historical Indian market and inflation data
• Retirement and FIRE-focused research
• Educational content explaining the results
• Transparent methodologies and assumptions

The goal is not simply to generate a number. The goal is to help users understand what that number means, what assumptions drive it, and how changing those assumptions may affect outcomes.

Known Limitations

Every financial model has limitations.

Users should be aware that:

• Future investment returns are uncertain.
• Inflation may be higher or lower than expected.
• Tax laws and regulations may change.
• Personal financial behaviour can significantly influence outcomes.
• Financial models simplify complex real-world situations.
• Certain risks cannot be fully captured through mathematical modelling.

For these reasons, calculator outputs should be treated as educational estimates and planning aids rather than guarantees of future performance.

Educational Purpose Only

Wealthpedia is an educational platform.

The tools, calculators, articles, research studies, and planning models available on this website are intended to help users better understand personal finance concepts and evaluate potential financial scenarios.

Nothing on this website should be interpreted as financial, investment, legal, tax, or professional advice. Users should consider their own circumstances and, where appropriate, consult qualified professionals before making financial decisions.

Methodology Updates

Financial regulations, tax rules, economic conditions, and available data sources evolve over time.

As a result, Wealthpedia periodically reviews and updates its methodologies, assumptions, datasets, and calculation frameworks to improve accuracy and relevance.

Last Updated: June 2026

Users are encouraged to review methodology updates periodically, particularly when using tools for long-term financial planning.

About the Author

This website and its financial tools are developed and maintained by Vishal Jhaveri, a personal finance educator focused on evidence-based financial planning, retirement research, and FIRE analysis in the Indian context.