Portfolio Management
· Last reviewed July 2026Take our 8-question risk profile quiz for Indian investors. Discover if you're conservative, moderate, aggressive, or very aggressive — and get a recommended asset allocation instantly.
Question 1
Get this calculated on your actual portfolio
Your risk profile is used in FundSageAI to give personalised portfolio recommendations — sign up to save your profile and get AI-powered fund suggestions.
Your risk profile determines the right asset allocation for your investment portfolio. An investor who is 'conservative' should hold more debt and liquid assets for stability, while a 'very aggressive' investor can hold 80–90% equity for maximum long-term growth. Most investors never formally assess their risk profile — they pick funds based on friend recommendations or recent performance, leading to portfolios misaligned with their actual risk tolerance. This 8-question quiz covers: investment horizon, income stability, reaction to losses, investment experience, savings rate, volatility comfort, financial goals, and emergency fund status.
Answer each of the 8 questions honestly — there are no right or wrong answers.
Each question is scored; your total score determines your risk profile category.
Review your recommended asset allocation (equity/debt/gold/liquid percentages).
Use the radar chart to see how balanced your recommended allocation is across risk dimensions.
Risk Score = Σ (Question Score) / (Max Possible Score) × 100 Conservative: 0–35 → 20% equity, 60% debt, 10% gold, 10% liquid Moderate: 35–55 → 50% equity, 35% debt, 10% gold, 5% liquid Aggressive: 55–75 → 75% equity, 15% debt, 5% gold, 5% liquid Very Aggressive: 75+ → 90% equity, 5% debt, 5% gold
Investor profile: 35 years old, stable IT job, 7+ years experience Investment horizon: 15+ years Reaction to -25% drop: Hold and wait Risk Score: 72/100 → Aggressive Recommended: 75% Equity / 15% Debt / 5% Gold / 5% Liquid
FundSageAI Dashboard
Common Questions
Free · No credit card · 2 min setup
Upload your CAMS or KFintech CAS statement to get real XIRR, true corpus values, actual fund overlap, and personalised insights — all pre-filled with your data.