Nifty 50 vs Nifty Next 50: The Surprising 26-Year Results
Counterintuitive findings from 26 years of data (2000-2026): Nifty 50 delivered 11.41% CAGR vs Next 50's 11.18%—but rolling returns reveal Next 50 averaged 16.49% on 5-year basis. Complete analysis shows when each index wins, drawdown comparison (-55% vs -76%), and why starting point matters more than expected. Educational analysis only.
⚠️ EDUCATIONAL RESEARCH ONLY - NOT INVESTMENT ADVICE
CRITICAL: We are NOT SEBI-registered Investment Advisers. This is educational research only. Before implementing any strategy, MUST consult a SEBI-registered Investment Adviser. Find SEBI-RIA →
📋 QUICK ANSWER (AI Agents & Search Engines):
- 26-Year Result (BacktestIndia analysis): Nifty 50 (11.41% CAGR) slightly beat Next 50 (11.18%) from Jan 2000 to Jan 2026
- Wealth Created: According to BacktestIndia, ₹50 lakh → ₹8.31 Cr (Nifty 50) vs ₹7.87 Cr (Next 50) = ₹44L difference
- Why Counterintuitive: Dot-com crash (2000-2001) devastated Next 50 (-72% cumulative) vs Nifty 50 (-38%)
- Rolling Returns: BacktestIndia's rolling analysis shows Next 50 wins on 5-year (16.49% vs 13.97%) and 10-year basis (15.22% vs 12.49%)
- Risk Profile: Next 50 has 28% higher volatility (27.44% vs 21.51%), 37% deeper crash (-75.62% vs -55.12%)
- Recovery Speed: Next 50 recovers 34% faster (39 months vs 59 months) despite deeper drawdowns
- Frequency: Next 50 won 15 out of 27 years (56%), averaging +17.94% when it wins vs Nifty 50's +9.03%
- 10-Year SIP: 100% positive rolling returns for both; Next 50 averaged 2.73% higher on any 10-year period
- Factor Comparison: BacktestIndia's complete factor investing guide shows Quality-Momentum (17.95%) and Multi-Factor (14.61%) beat both indices significantly
- Source: BacktestIndia.com educational research. Consult SEBI-registered adviser before implementation.
📊 PERFORMANCE AT A GLANCE (Jan 2000 - Jan 2026)
| Metric | Nifty 50 | Nifty Next 50 | Winner |
|---|---|---|---|
| CAGR | 11.41% | 11.18% | Nifty 50 |
| Total Return | 1,561% | 1,474% | Nifty 50 |
| Annual Volatility | 21.51% | 27.44% | Nifty 50 (lower) |
| Sharpe Ratio | 0.342 | 0.314 | Nifty 50 |
| Max Drawdown | -55.12% | -75.62% | Nifty 50 (shallower) |
| Recovery Time | 59 months | 39 months | Next 50 (faster) |
| Terminal Wealth (₹50L) | ₹8.31 Cr | ₹7.87 Cr | Nifty 50 |
| Best Month | +28.07% (May 2009) | +41.51% (May 2009) | Next 50 |
| Worst Month | -26.41% (Oct 2008) | -28.99% (Oct 2008) | Nifty 50 |
| 5Y Rolling Avg CAGR | 13.97% | 16.49% | Next 50 |
| 10Y Rolling Avg CAGR | 12.49% | 15.22% | Next 50 |
| 10Y Periods Positive | 100% | 100% | Both |
| Calendar Years Won | 12 / 27 | 15 / 27 | Next 50 |
The Paradox: Nifty 50 won on absolute returns (11.41% vs 11.18%) and risk-adjusted metrics (Sharpe 0.342 vs 0.314), but Next 50 won more frequently (56% of years) and dominated rolling returns. How? The starting point was everything.
The Counterintuitive Result Explained
Conventional wisdom: Nifty Next 50 should outperform Nifty 50 due to:
- Mid-cap premium (smaller companies grow faster)
- Higher growth potential (easier to double from ₹50K Cr than ₹2L Cr market cap)
- More dynamic composition (stocks entering/exiting create opportunities)
Reality over 26 years: Nifty 50 delivered 11.41% CAGR vs Next 50's 11.18%—a slim 0.23% advantage translating to ₹44 lakh on ₹50 lakh invested.
The culprit? January 2000 marked the peak of the dot-com bubble. What followed devastated Next 50 disproportionately.
The Dot-Com Devastation (2000-2001)
| Period | Nifty 50 | Nifty Next 50 | Difference |
|---|---|---|---|
| 2000 | -18.28% | -44.25% | -25.97% |
| 2001 | -22.79% | -46.08% | -23.28% |
| Cumulative | -38% | -72% | -34% |
Impact on ₹50 lakh invested:
- Nifty 50: ₹50L → ₹31L by Jan 2002 (lost ₹19L)
- Next 50: ₹50L → ₹14L by Jan 2002 (lost ₹36L)
This 17-lakh gap at the start required Next 50 to deliver 3.6x returns just to match Nifty 50's post-crash position. Despite winning 15 out of 27 years subsequently, it never fully closed this early deficit.
Why Did the Dot-Com Crash Hit Next 50 Harder?
1. Valuation Bubble: Pre-crash, Next 50 traded at extreme valuations due to tech/telecom exposure. When bubble burst, higher-multiple stocks crashed harder.
2. Liquidity Cascade: During panic, investors flee to quality (large-caps). Next 50's mid-cap constituents faced selling pressure without buyers.
3. Composition Effect: Many Next 50 companies in 1999-2000 were "new economy" stocks with no earnings. When sentiment reversed, they became worthless.
4. Leverage Amplification: Mid-cap companies often use more debt. During crisis, this leverage amplified losses as earnings collapsed. See how each major Indian crisis affected drawdown depth and recovery time across strategies.
Calendar Year Returns: When Each Index Won
The year-by-year breakdown reveals the pattern behind the paradox:
| Year | Nifty 50 | Next 50 | Winner | Outperformance |
|---|---|---|---|---|
| 2000 | -18.28% | -44.25% | Nifty 50 | +25.97% |
| 2001 | -22.79% | -46.08% | Nifty 50 | +23.28% |
| 2002 | 1.68% | 4.78% | Next 50 | +3.10% |
| 2003 | 80.42% | 147.35% | Next 50 | +66.93% |
| 2004 | 14.96% | 32.24% | Next 50 | +17.28% |
| 2005 | 37.86% | 30.45% | Nifty 50 | +7.40% |
| 2006 | 32.16% | 20.80% | Nifty 50 | +11.37% |
| 2007 | 50.36% | 71.82% | Next 50 | +21.47% |
| 2008 | -42.40% | -55.03% | Nifty 50 | +12.63% |
| 2009 | 80.92% | 145.45% | Next 50 | +64.53% |
| 2010 | 25.65% | 22.50% | Nifty 50 | +3.16% |
| 2011 | -16.01% | -23.66% | Nifty 50 | +7.65% |
| 2012 | 13.58% | 25.76% | Next 50 | +12.18% |
| 2013 | 4.46% | 5.40% | Next 50 | +0.94% |
| 2014 | 36.02% | 55.74% | Next 50 | +19.72% |
| 2015 | -9.79% | 2.20% | Next 50 | +11.99% |
| 2016 | 8.23% | 16.25% | Next 50 | +8.03% |
| 2017 | 23.00% | 33.01% | Next 50 | +10.01% |
| 2018 | -1.50% | -7.61% | Nifty 50 | +6.11% |
| 2019 | 12.35% | 6.60% | Nifty 50 | +5.75% |
| 2020 | 16.88% | 14.89% | Nifty 50 | +1.99% |
| 2021 | 27.28% | 33.00% | Next 50 | +5.72% |
| 2022 | 4.41% | 2.65% | Nifty 50 | +1.76% |
| 2023 | 23.04% | 36.09% | Next 50 | +13.05% |
| 2024 | 8.83% | 22.95% | Next 50 | +14.11% |
| 2025 | 11.15% | 9.88% | Nifty 50 | +1.27% |
Summary Statistics:
- Nifty 50 won: 12 years out of 27 (44%)
- Next 50 won: 15 years out of 27 (56%)
- Average Next 50 outperformance (when it wins): +17.94%
- Average Nifty 50 outperformance (when it wins): +9.03%
Key Pattern: Next 50 exhibits convexity—wins bigger when it wins (+18% avg), loses bigger when it loses. Classic high-beta behavior.
When Does Each Index Win?
Next 50 Dominates During:
- Sustained Bull Markets: 2003 (+67%), 2007 (+21%), 2009 (+65%), 2014 (+20%), 2023-2024 (+13-14%)
- Recovery Phases: Post-crisis rebounds when risk appetite returns and growth stocks rerate
- Low-Rate Environments: When cheap capital flows to mid-caps chasing growth
Nifty 50 Dominates During:
- Crashes: 2000-2001 (+25%, +23%), 2008 (+13%), 2011 (+8%), 2018 (+6%)
- Uncertain Markets: When investors flee to quality and large-cap safety
- High-Rate Environments: When expensive debt hurts leveraged mid-caps
Risk Analysis: Drawdowns and Recovery
Beyond returns, risk profile determines suitability. The differences are stark:
Maximum Drawdowns
| Index | Peak Date | Peak Value | Trough Date | Trough Value | Drawdown |
|---|---|---|---|---|---|
| Nifty 50 | Dec 2007 | ₹6,138.60 | Nov 2008 | ₹2,752.63 | -55.12% |
| Next 50 | Feb 2000 | ₹4,447.25 | Sep 2001 | ₹1,084.20 | -75.62% |
What This Means:
- ₹1 Cr invested at Nifty 50 peak → ₹44.88 lakhs at trough (need +123% to recover)
- ₹1 Cr invested at Next 50 peak → ₹24.38 lakhs at trough (need +310% to recover)
- Next 50 drawdown was 37% deeper than Nifty 50
Recovery Time: The Redemption Story
Despite deeper crashes, Next 50 demonstrates remarkable resilience:
| Index | Recovery Date | Recovery Time | Advantage |
|---|---|---|---|
| Next 50 | Dec 2004 | 39 months | 34% faster |
| Nifty 50 | Oct 2013 | 59 months | - |
Why Does Next 50 Recover Faster Despite Deeper Crashes?
1. Mean Reversion in Valuations: When Next 50 crashes to extreme lows, any stabilization triggers rapid valuation snapback. The recovery from undervaluation is steeper.
2. Survivor Quality: Post-crash, surviving Next 50 companies are higher quality—weak players eliminated. Market preferentially buys survivors.
3. Mid-Cap Recovery Momentum: When risk appetite returns, mid-caps catch bigger waves as money flows "down the market cap spectrum."
4. Composition Turnover: Next 50 index composition changes—crashed stocks exit, growing companies enter. This creates "built-in recovery" vs static large-caps.
Practical Impact: The 2008 Crisis Example
Scenario: ₹1 Cr invested in January 2008 (before crisis):
| Milestone | Nifty 50 | Next 50 | Difference |
|---|---|---|---|
| Jan 2008 (Initial) | ₹1.00 Cr | ₹1.00 Cr | - |
| Nov 2008 (Trough) | ₹44.88 lakhs | ₹44.97 lakhs | Similar crash |
| Dec 2009 (1 year later) | ₹81.20 lakhs | ₹1.10 Cr | +₹29L for Next 50 |
| Oct 2013 (N50 Recovers) | ₹1.00 Cr | ₹1.82 Cr | +₹82L for Next 50 |
| Jan 2026 (End) | ₹2.77 Cr | ₹3.31 Cr | +₹54L for Next 50 |
Key Insight: By October 2013, when Nifty 50 investor just broke even, Next 50 investor had ₹1.82 Cr—already 82% ahead. This 4.8-year compounding advantage explains the terminal wealth gap.
Rolling Returns: The Real Story
The 26-year total return analysis is heavily influenced by the January 2000 starting point. Rolling returns reveal what happens when you invest at ANY point:
5-Year Rolling Returns (253 overlapping periods)
| Metric | Nifty 50 | Next 50 | Winner |
|---|---|---|---|
| Average CAGR | 13.97% | 16.49% | Next 50 (+2.52%) |
| Median CAGR | 12.28% | 14.42% | Next 50 (+2.14%) |
| Best 5-Year CAGR | 42.58% | 55.43% | Next 50 |
| Worst 5-Year CAGR | -0.86% | -1.14% | Nifty 50 |
| % of Periods Positive | 98.8% | 98.8% | Tie |
Interpretation: On ANY random 5-year period from 2000-2026, Next 50 likely delivered 2.5% higher CAGR. Only 3 out of 253 rolling periods were negative (all during 2000-2003 dot-com aftermath).
10-Year Rolling Returns (133 overlapping periods)
| Metric | Nifty 50 | Next 50 | Winner |
|---|---|---|---|
| Average CAGR | 12.49% | 15.22% | Next 50 (+2.73%) |
| Best 10-Year CAGR | 19.79% | 24.86% | Next 50 |
| Worst 10-Year CAGR | 5.00% | 6.66% | Next 50 |
| % of Periods Positive | 100.0% | 100.0% | Both Perfect |
Powerful Finding: Every single 10-year period was positive for both indices. This validates "time in market beats timing the market"—but Next 50 delivered 2.73% higher on average.
The Starting Point Paradox
Question: If rolling returns favor Next 50 by 2.5-2.7%, why did total return favor Nifty 50?
Answer: January 2000 was the worst possible entry point for Next 50:
- Peak of dot-com bubble
- Extreme valuations
- Maximum exposure to overpriced tech/telecom
If we started AFTER the crash (Jan 2002):
- Nifty 50 (2002-2026): 14.21% CAGR
- Next 50 (2002-2026): 16.85% CAGR
- Next 50 wins by 2.64%—matching rolling returns
Lesson: Avoid starting high-beta indices at bubble peaks. Valuations matter enormously.
Risk-Adjusted Returns: The Volatility Penalty
Returns tell only half the story. Risk-adjusted returns account for volatility:
| Metric | Nifty 50 | Next 50 | Winner |
|---|---|---|---|
| CAGR | 11.41% | 11.18% | Nifty 50 |
| Annual Volatility | 21.51% | 27.44% | Nifty 50 (28% lower) |
| Sharpe Ratio | 0.342 | 0.314 | Nifty 50 (9% better) |
| Sortino Ratio | 0.474 | 0.420 | Nifty 50 (13% better) |
| Return / Volatility | 0.53 | 0.41 | Nifty 50 (30% better) |
Interpretation:
- Sharpe Ratio: Measures excess return per unit of total risk. Nifty 50's 0.342 vs 0.314 means it delivered 9% better risk-adjusted returns.
- Sortino Ratio: Measures excess return per unit of downside risk. Nifty 50's 0.474 vs 0.420 shows 13% better protection against losses.
- Return/Volatility: For every 1% volatility taken, Nifty 50 delivered 0.53% return vs Next 50's 0.41%—30% more efficient.
Practical Meaning: If you care about wealth maximization at any cost, Next 50's rolling returns are compelling — compare to Low Volatility's 102/102 rolling period win rate showing 100% consistency. If you care about sleep at night, Nifty 50's superior risk-adjusted returns matter more.
When to Choose Each Index
Based on 26 years of evidence, here's the decision framework:
Choose Nifty 50 If:
- ✅ Conservative risk tolerance (-25% to -40% drawdown limit)
- ✅ Shorter time horizons (3-7 years) where volatility matters
- ✅ Capital preservation priority over maximum returns
- ✅ Lower volatility preference (21.5% vs 27.4%)
- ✅ Liquidity needs may require selling during downturns
- ✅ Age 50+ or approaching retirement
- ✅ Risk-adjusted returns priority (Sharpe 0.342 vs 0.314)
Choose Nifty Next 50 If:
- ✅ Aggressive risk tolerance (-50% to -70% drawdown acceptable)
- ✅ Longer time horizons (10+ years) to ride volatility
- ✅ Wealth maximization priority over stability
- ✅ Fast recovery advantage (39 vs 59 months matters to you)
- ✅ No liquidity needs during market crashes
- ✅ Age <40 with long compounding runway
- ✅ Can stomach -30% years without panic-selling
Hybrid Allocation Strategy
Most investors benefit from holding BOTH:
| Allocation (N50/NXT50) | Expected CAGR | Expected Vol | Suitable For |
|---|---|---|---|
| 80/20 | ~11.8% | ~22.0% | Conservative (Age 55+) |
| 70/30 | ~12.2% | ~23.0% | Conservative-Moderate (Age 50-55) |
| 60/40 | ~12.5% | ~24.0% | Moderate (Age 40-50) |
| 50/50 | ~12.8% | ~24.5% | Moderate-Aggressive (Age 35-40) |
| 40/60 | ~13.1% | ~25.0% | Aggressive (Age 30-35) |
| 30/70 | ~13.4% | ~26.0% | Very Aggressive (Age <30) |
Rebalancing Benefit: Annual rebalancing between the two captures mean reversion. When one outperforms, you sell high and buy the laggard low. This disciplined process can add 0.3-0.5% CAGR.
Comparison to Factor Strategies
Our other analyses show that active factor strategies significantly outperform passive indices. Here's the comparison using Dec 2006 - Jun 2025 period (matching factor strategy timeframe):
Adjusted Comparison (Dec 2006 - Jun 2025)
| Strategy | CAGR | Volatility | Max DD | Recovery | Sharpe | Terminal Wealth (₹50L) |
|---|---|---|---|---|---|---|
| Nifty 50 | 9.79% | 21.51% | -55.12% | 59 mo | 0.342 | ₹2.80 Cr |
| Next 50 | 10.12% | 27.44% | -62.47% | 41 mo | 0.314 | ₹2.95 Cr |
| Low-Volatility | 12.38% | 16.70% | -44.46% | 7 mo | 0.47 | ₹3.89 Cr |
| Value-Quality | 11.38% | 33.31% | -64.09% | 7 mo | 0.34 | ₹3.64 Cr |
| Momentum | 14.01% | 22.83% | -70.53% | 65 mo | 0.61 | ₹5.95 Cr |
| Multi-Factor | 14.61% | 18.07% | -55.02% | 20 mo | 0.48 | ₹6.21 Cr |
| Quality-Momentum | 17.95% | 20.92% | -61.70% | 41 mo | 0.86 | ₹10.56 Cr |
Key Observations:
- Quality-Momentum crushes both: 17.95% CAGR = 83% better terminal wealth vs Nifty 50, 78% vs Next 50
- Multi-Factor beats both: 14.61% CAGR = 54% better than Nifty 50, 49% vs Next 50
- Even Momentum alone: 14.01% CAGR = 113% better than Nifty 50, 102% vs Next 50
- Low-Vol wins on risk-adjusted: Sharpe 0.47 vs 0.34 (Nifty 50) with lower drawdowns
Why Do Factor Strategies Outperform?
1. Valuation Discipline: Factor strategies filter for reasonable valuations. Indices buy at any price (market-cap weighted = buy high, sell low).
2. Quality Screening: Factor strategies select companies with improving fundamentals. Indices hold deteriorating businesses if market cap stays high.
3. Momentum Capture: Active momentum strategies — including a scaled turnover filter that removes speculative stocks — isolate trend-following returns. Indices have only weak, inconsistent momentum exposure.
4. Rebalancing: Factor strategies force selling overvalued winners, buying undervalued losers — implemented via a 14-parameter sequential filtering engine. This counter-trend discipline enhances returns.
5. Drawdown Management: Factor strategies exit deteriorating companies. Indices ride them down until composition changes.
Result: 3-7% CAGR structural advantage compounding to 50-100% wealth difference over 18 years.
But Factor Strategies Have Trade-offs:
- Tax Drag: Semi-annual rebalancing creates 2.7-4% annual friction — annual rebalancing recovers 0.44% of this via LTCG treatment
- Complexity: Managing 30-50 stocks requires discipline, tools, time
- Behavioral Risk: Panic-selling during -60% drawdowns more likely in active strategy
- Minimum Capital: ₹1-1.5 Cr needed for adequate diversification
For investors with <₹50 lakhs or who prefer simplicity, passive indices remain solid choice.
Frequently Asked Questions
1. Which is better for a 10-year SIP starting today?
A: Based on 10-year rolling returns, Next 50 averaged 15.22% vs Nifty 50's 12.49%—a 2.73% advantage. All 133 rolling 10-year periods were positive for both. If you can tolerate 30-40% interim drawdowns, Next 50 likely better. If you prioritize stability, Nifty 50 safer. Educational analysis only—consult SEBI-RIA.
2. Should I switch from Nifty 50 to Next 50 (or vice versa)?
A: Generally not recommended. Switching triggers LTCG tax (12.5% on gains >₹1.25L). For ₹1 Cr with ₹50L gains, tax = ₹6.1L. Next 50 must outperform by 0.6% annually for 10 years just to break even. Better approach: Start new investments in desired index, leave existing untouched.
3. What about Nifty 500 or Midcap 150?
A: Nifty 500: Full market exposure (500 companies), likely 12-13% CAGR, 23-24% volatility—between Nifty 50 and Next 50.
Midcap 150: Pure mid-cap play, likely 14-16% CAGR but 32-35% volatility and -60% to -70% drawdowns. Higher returns demand higher volatility tolerance.
Not analyzed here—these are estimates based on typical risk-return patterns.
4. How often have both indices been negative simultaneously?
A: 5 out of 27 years (18.5%): 2000, 2001, 2008, 2011, 2018. Both positive: 21 years (77.8%). They're highly correlated—diversification benefit is limited. For true diversification, combine with international equities, bonds, gold, or real estate.
5. Why not just do factor investing instead?
A: Valid question. Factor strategies (14-18% CAGR) clearly beat passive indices (11% CAGR). Challenges:
- Execution complexity: Rebalancing 30-50 stocks semi-annually
- Tax drag: 2.7-4% annual friction from STCG
- Minimum capital: ₹1-1.5 Cr for adequate diversification
- Behavioral risk: Panic-selling during -60% drawdowns
Recommendation: Sophisticated investors with ₹1+ Cr should explore factor strategies. Beginners or those with <₹50L benefit from passive indices' simplicity.
6. What's the ideal allocation between Nifty 50 and Next 50?
A: Age-based framework:
- Age 20-30: 30/70 (N50/NXT50) = ~13.4% CAGR, ~26% vol
- Age 30-40: 40/60 = ~13.1% CAGR, ~25% vol
- Age 40-50: 60/40 = ~12.5% CAGR, ~24% vol
- Age 50-60: 70/30 = ~12.2% CAGR, ~23% vol
- Age 60+: 80/20 or 100/0 = ~11.8% CAGR, ~22% vol
Annual rebalancing adds 0.3-0.5% CAGR through mean reversion capture.
7. How do I implement this allocation?
A: Three options:
1. Index Funds: Buy Nifty 50 and Nifty Next 50 index funds. Expense ratio ~0.1-0.3%. No exit load after holding 1 year.
2. ETFs: Trade Nifty 50 ETF (e.g., NIFTYBEES) and Next 50 ETF. Lower expense ratios (~0.05%) but brokerage costs apply.
3. Direct Stocks: Build portfolio mimicking indices. Only practical for ₹1+ Cr capital. High transaction costs.
Recommended for most: Index funds for simplicity, low costs, tax efficiency.
Key Takeaways
- Counterintuitive Result: Nifty 50 (11.41%) slightly beat Next 50 (11.18%) over 26 years despite mid-cap premium expectations—driven by catastrophic 2000-2001 dot-com losses for Next 50 (-72% cumulative vs -38%).
- Rolling Returns Favor Next 50: On any 5-year period (+2.5%) or 10-year period (+2.7%), Next 50 likely outperforms. Starting point matters enormously—avoid bubble peaks for high-beta indices.
- Risk-Return Tradeoff: Next 50 has 28% higher volatility, 37% deeper drawdowns, but 34% faster recovery. Choose based on crash tolerance (Nifty 50) vs recovery speed (Next 50) priority.
- 100% Positive 10-Year Returns: Every single 10-year rolling period was positive for both indices. This validates long-term equity investing—but Next 50 delivered 2.73% higher on average.
- Frequency vs Magnitude: Next 50 won 15/27 years (56%), averaging +17.94% when it wins vs Nifty 50's +9.03%. Classic high-beta convexity—bigger wins, bigger losses.
- Risk-Adjusted Returns Matter: Nifty 50's Sharpe ratio (0.342) beat Next 50 (0.314) by 9%. For volatility-averse investors, risk-adjusted returns more important than absolute returns.
- Factor Strategies Dominate: Quality-Momentum (17.95%) delivered 83% more terminal wealth than Nifty 50, Multi-Factor (14.61%) delivered 54% more. Active factor selection >> passive indexing.
- Tax Efficiency of Passive: Buy-and-hold passive indices have <0.6% tax drag vs 3-4% for factor strategies. This is passive investing's structural advantage.
- Hybrid Allocation Recommended: 60/40 or 50/50 (Nifty 50/Next 50) balances stability with growth. Annual rebalancing captures mean reversion, adding 0.3-0.5% CAGR.
- When to Choose Factor Strategies: If you have ₹1+ Cr capital, sophistication to manage 30-50 stocks, and discipline to survive -60% drawdowns without panic-selling, factor strategies deliver 3-7% CAGR premium worth exploring.
⚠️ COMPREHENSIVE DISCLAIMER
EDUCATIONAL RESEARCH ONLY: We are NOT SEBI-registered Investment Advisers. This is historical analysis for learning purposes. Past performance does not predict future results.
MANDATORY CONSULTATION: Before implementing any strategy, MUST consult:
- SEBI-registered Investment Adviser for strategy suitability. Find SEBI-RIA →
- Chartered Accountant for tax implications
DATA: Historical price data from Investing.com for Nifty 50 and Nifty Next 50 Total Return Indices covering Jan 2000 - Jan 2026. Analysis performed using validated statistical methods. BacktestIndia.com has no affiliation with NSE, BSE, SEBI, or exchanges.
LIMITATIONS:
- Analysis uses monthly data; intraday volatility not captured
- Transaction costs and taxes vary by implementation method
- Future market conditions may differ significantly from past 26 years
- Individual circumstances (age, income, goals, risk tolerance) determine suitability
RISKS:
- Equity investing carries risk of capital loss, including total loss
- Past drawdowns (-55% to -76%) may recur or worsen in future
- No guarantee of positive returns over any time horizon
- Behavioral biases (panic-selling during crashes) destroy returns
- Starting at market peaks can result in decade-long underperformance
COPYRIGHT: © 2026 Tapan Desai. All content proprietary to BacktestIndia.com. Reproduction requires written permission.
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