Investor Risk Profiling Scoring Model

 

Investor Risk Profiling Scoring Model similar to the frameworks used by brokerage houses and wealth management firms. The purpose is to quantify investor suitability for stock market investments using numerical scores.

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1. Structure of the Professional Investor Risk Profiling Model

Brokerage firms usually evaluate investors across five scoring dimensions:

Dimension	Weight in Total Score
Financial Capacity	25 points
Investment Horizon	15 points
Investment Knowledge & Experience	20 points
Risk Tolerance	30 points
Liquidity Needs	10 points

Total Score = 100 points

Higher scores indicate higher risk capacity and suitability for equity investments.

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2. Detailed Numerical Questionnaire with Scoring

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Section A — Financial Capacity (Max 25 Points)

1. Monthly Income

Income Level	Score
Below ₹30,000	2
₹30,000 – ₹75,000	5
₹75,000 – ₹1,50,000	8
Above ₹1,50,000	10

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2. Savings Rate (% of Income Saved)

Savings Rate	Score
Less than 5%	1
5–15%	3
15–30%	6
Above 30%	8

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3. Emergency Fund Availability

Emergency Fund	Score
None	0
<3 months expenses	2
3–6 months expenses	4
>6 months expenses	7

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Section B — Investment Horizon (Max 15 Points)

4. Planned Investment Duration

Time Horizon	Score
Less than 1 year	1
1–3 years	4
3–5 years	8
More than 5 years	15

Longer horizons allow greater exposure to equities and risk assets.

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Section C — Investment Knowledge & Experience (Max 20 Points)

5. Stock Market Knowledge

Knowledge Level	Score
No knowledge	0
Basic understanding	5
Moderate knowledge	10
Advanced knowledge	15

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6. Investment Experience

Experience	Score
No experience	0
Less than 2 years	3
2–5 years	6
More than 5 years	10

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Section D — Risk Tolerance (Max 30 Points)

7. Reaction to 10% Portfolio Loss

Reaction	Score
Sell immediately	0
Wait and observe	5
Hold investment	10
Invest more	15

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8. Reaction to 30% Market Crash

Reaction	Score
Exit market	0
Hold investments	5
Invest more	10
Increase allocation aggressively	15

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Section E — Liquidity Needs (Max 10 Points)

9. Need to Access Funds

Liquidity Need	Score
Immediate access needed	0
Within 1 year	3
Within 3 years	6
Long-term only	10

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3. Total Score Calculation

Example:

Section	Score
Financial Capacity	18
Investment Horizon	12
Knowledge & Experience	14
Risk Tolerance	20
Liquidity Needs	8

Total Score = 72 / 100

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4. Risk Category Classification

Brokerage firms classify investors based on score ranges.

Score Range	Risk Category	Investor Type
0 – 25	Very Conservative	Capital protection
26 – 45	Conservative	Low risk
46 – 65	Moderate	Balanced risk
66 – 85	Growth Investor	Higher equity exposure
86 – 100	Aggressive Investor	High-risk, high-return

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5. Recommended Portfolio Allocation by Risk Category

Investor Type	Equity	Debt	Other Assets
Very Conservative	10%	80%	10%
Conservative	25%	65%	10%
Moderate	50%	40%	10%
Growth	70%	20%	10%
Aggressive	85–95%	5–10%	5%

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6. Micro-Level Factors Brokerage Firms Also Evaluate

Professional investor profiling may additionally consider:

Behavioral Metrics

• loss aversion

• reaction to volatility

• decision-making style

Financial Ratios

• debt-to-income ratio

• savings-to-income ratio

• liquidity ratio

Life Stage

• early career

• mid-career

• pre-retirement

• retirement

Market Understanding

• awareness of diversification

• knowledge of market cycles

• familiarity with equity valuation

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7. Why This Scoring Model is Used

Brokerage firms use this quantitative evaluation system to:

✔ ensure investor suitability
✔ comply with financial advisory regulations
✔ reduce mis-selling of risky products
✔ match portfolios to investor risk profiles

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✅ Key Idea

A professional investor evaluation model converts personal financial and behavioral data into numerical scores, allowing brokerage firms to scientifically classify investors into conservative, moderate, or aggressive risk categories before recommending stock market investments.

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