Video summary
Top 5 Flexi Cap Funds for 2026 | Mutual Fund Investing | Sanjay Kathuria
Main summary
Key takeaways
Top 5 Flexi Cap Funds for 2026 | Mutual Fund Investing | Sanjay Kathuria
Key Focus
The video discusses selecting the top Flexi Cap mutual funds for 2026 using a data-driven, factor-based approach. Emphasis is placed on risk-adjusted returns, portfolio construction, and backtesting against benchmarks.
Assets, Sectors, and Instruments Mentioned
- Asset Class: Mutual Funds (Flexi Cap category)
- Specific Funds Mentioned:
- Parag Parikh Flexi Cap Fund
- HDFC Flexi Cap Fund
- ICICI Prudential Retirement Fund
- Franklin India Focused Equity Fund
- JM Flexi Cap
- SBI Focus
- Benchmark: Nifty 500 Index
- Metrics Used:
- Sharpe Ratio
- Up-Down Capture Ratio
- 3-Year Rolling Returns
- Volatility
- Drawdown
Methodology / Framework for Fund Selection
-
Universe Selection: Start with all Flexi Cap mutual funds (117 funds in the category).
-
Step-by-step Filtering (using Sharply tool screener):
- Up-Down Capture Ratio: Select top 60% funds (exclude bottom 40%) to ensure funds rise more when the benchmark rises and fall less when the benchmark falls.
- Beat Benchmark Frequency: Select funds that beat their benchmark more frequently; exclude bottom 40%.
- 3-Year Rolling Returns: Select funds with consistent performance over rolling 3-year periods; exclude bottom 40%.
- Sharpe Ratio: Select funds with high risk-adjusted returns; exclude bottom 40%.
-
Result: After filtering, 7 funds remain as top Flexi Cap candidates.
-
Factor Model for Ranking:
- Assign weights to parameters based on investor risk tolerance and return preference.
- Factors include: Up-Down Capture Ratio, Benchmark Beat %, Average 3-Year Rolling Return, 3-Year Volatility, Sharpe Ratio.
- Use the “Sanjay Kathoria Base Model” (available with a 15% discount code SanjayK15) to automatically rank funds according to personalized preferences.
Key Numbers & Performance Metrics
Parag Parikh Flexi Cap Fund
- 5-Year CAGR: 20.91% vs Benchmark 16.89% (outperformed by ~4% p.a.)
- Volatility: 11.76% vs Benchmark 14.38% (lower risk)
- Max Drawdown: 18% vs Benchmark 19%
- Sharpe Ratio: 1.38 vs Benchmark 0.91 (better risk-adjusted returns)
- Allocation: ~94% Large Cap, 2.39% Mid Cap, 3.36% Small Cap (large-cap heavy)
Backtested Portfolio (50% Parag Parikh Flexi Cap + 50% HDFC Flexi Cap)
- 3-Year CAGR: 22.81% vs Benchmark 17%
- Volatility: 9.62% vs Benchmark 12.86% (significantly lower risk)
- Sharpe Ratio: 1.83 vs Benchmark 1.02 (superior risk-adjusted returns)
- ₹1 lakh invested 3 years ago would have grown to ₹1.49 lakh vs ₹1.66 lakh in benchmark (Nifty 500)
- Portfolio outperformed benchmark by approx. 7-8% annualized return while taking less risk.
Recommendations & Cautions
- Flexi Cap funds provide convenience by allowing fund managers to allocate dynamically across large, mid, and small caps.
- Investors should use factor models to weigh risk versus returns based on their own risk tolerance.
- Backtesting portfolios helps understand historical risk-adjusted performance and build confidence in investment decisions.
- The video promotes using the Sharply tool and the custom factor model (Sanjay Kathoria Base Model) for fund selection.
- The factor model and tool are available with a 15% discount using code SanjayK15 (disclosure: promotional).
Disclosures
- The presenter offers a factor model tool with a discount code.
- The video is educational and not explicit financial advice.
- Past performance is shown as a reference and does not guarantee future results.
Presenter
Sanjay Kathuria
Summary
Sanjay Kathuria presents a systematic, factor-based approach to selecting top Flexi Cap mutual funds for 2026. Using filters like up-down capture ratio, benchmark outperformance, rolling returns, and Sharpe ratio, he narrows down the universe from 117 to 7 strong funds. He demonstrates how to use a factor model to rank funds according to personal risk-return preferences and shows backtested portfolio performance of Parag Parikh and HDFC Flexi Cap funds versus the Nifty 500 benchmark. The analysis highlights superior risk-adjusted returns and lower volatility of the chosen funds, recommending investors use data-driven tools for portfolio construction and risk management.
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