Should Flexi-Cap Funds Still Be Your Core Holding?

Finance-focused summary (Flexi-cap funds)

Core issue raised

Although flexi-cap mutual funds are marketed as “dynamic” (shifting among large/mid/small caps), the video argues that many large fund houses behave like “large-cap hugging.” This can limit the promised flexibility and may contribute to subdued or inconsistent performance versus broader indices.

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Tickers / instruments / assets mentioned

Index

• Nifty 500

Flexi-cap mutual fund schemes (named)

• Parag Parikh Flexi Cap
• HDFC Flexi Cap
• Kotak
• Aditya Birla
• UTI
• Canara Robeco
• Franklin
• ICICI Prudential
• PGIM
• Nippon India
• Union
• Invesco
• Quant
• WhiteOak Capital
• JM
• Baroda BNP (spelled “Baroda BNP” in the source)
• Sriram
• Sundaram
• Mahindra Manulife
• ITI
• Bank of India
• Motilal Oswal
• LIC
• Samco
• SBI
• Samco Flexi Cap

Cash / overseas exposure

• Cash / overseas exposure was explicitly mentioned as part of holdings (no specific overseas ticker provided).

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Key numbers and performance/risk metrics

1) Category-level allocation trends (last ~5 years)

• Large caps: ~67% (2022) → ~56% (2026)
• Small caps: ~10% → ~20%
• Mid caps: ~17% → ~19%

Interpretation (video): The overall flexi-cap category appears to be shifting toward small caps (a “good news” signal), but the biggest funds don’t show equivalent agility.

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2) “Top five funds” by size (AUM) and their tilt

• Named top funds have AUM roughly in the range: ~₹23,000 crore to ~₹1.4 lakh crore

Large-cap exposure in these top funds:

• Average ~65% to ~69% (described as still “quite high”)

Within this group:

• Small caps: ~7% → ~9%
• Mid caps: ~13% to 18%
• Video conclusion: large AUM implies lower agility

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3) Two large funds with contrasting allocation notes

Parag Parikh Flexi Cap

• Large-cap allocation: ~65%
• Mid & small caps: “minimal single digit allocation”
• Mentions heavy “other” allocation = cash + overseas exposure

HDFC Flexi Cap

• Large-cap allocation: >70%
• Fell from ~82%
• Mid/small increased, but “not to extent of category levels”

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4) Segmentation by large-cap exposure (3-year history; 35 funds with history ≥ 3 years)

Segment A: High large-cap (≥65%)

• 13 funds
• Highest large-cap exposures:
  • HDFC ~76%, Canara Robeco ~74%, Franklin ~72%

3-year returns vs Nifty 500

• More than half failed to outperform
• HDFC was best within this pack
• Others near bottom mentioned: Sundaram, Mahindra Manulife, Canara Robeco

Risk-adjusted performance (Sortino ratio)

• 7 of 12 beat Nifty 500
• Best risk-adjusted: HDFC, then Aditya Birla, then ICICI Prudential
• Outperformance described as thin on average

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Segment B: Moderate large-cap (50%–65%)

• 17 funds
• Top large-cap holdings listed: PGIM, Nippon India, Union

• Bottom listed: JM, Baroda BNP, 361 (video likely references “361 Degrees,” but “361” is used)

• Includes Parag Parikh due to historically high cash/overseas

3-year returns vs Nifty 500

• 9 of 17 beat Nifty 500
• Top performers: Invesco, then Quant, then 361
• Parag Parikh at 7th

Sortino ratio (risk-adjusted)

• 7 funds beat Nifty 500
• Top risk-adjusted: Parag Parikh, then Quant, then WhiteOak Capital
• Worst performers: Sriram, UTI, SBI

Conclusion (video)

• Slightly better average returns than Nifty 500, but risk-adjusted performance slightly worse than Segment A
• Higher non-large-cap exposure didn’t add much return differential

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Segment C: Under 50% large-cap (more aggressive)

• Only 5 funds maintained under-50% large-cap exposure historically (last 3 years):
  • ITI, Bank of India, Motilal Oswal, LIC, Samco

3-year returns vs Nifty 500

• 3 ahead, 2 behind

Sortino ratio (risk-adjusted)

• 3 ahead: Bank of India, ITI, Motilal Oswal
• 2 behind: LIC, Samco

Aggregate conclusion (video)

• Highest returns, but risk-adjusted performance worse than Nifty 500 and previous segments

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5) “Flexibility/active-ness” measured by coefficient of variation (CV)

Method described

• CV = (standard deviation / mean) expressed as %
• Higher CV = larger variability in large-cap allocation (more switching)

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Top quartile of CV (most active in switching)

• Top funds: Samco, Shriram, Quant Flexi Cap
• Example: Samco Flexi Cap large-cap allocation path
  • 50% (Jun 2023) → 6% (Mar 2025)
  • then up and stayed ~40% (Jan–Mar 2026)
  • fell again to ~23% (Jun 2026)

3-year returns vs Nifty 500

• 4 of 9 beat Nifty 500
• Samco worst performer in the group (per video)

Sortino ratio

• 4 funds beat Nifty 500: Quant, Motilal, Invesco, JM
• Remaining 5 lagged

Conclusion (video)

• Most active funds did not impress on aggregate-wise results

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Bottom quartile of CV (least active; steadier large-cap exposure)

• Usual large-AUM names mentioned: Parag Parikh, HDFC, Kotak, UTI

• Canara Robeco described as “crown” on steadiness:

  • Large-cap stayed within a tight band ~71%–77% over 3 years

Returns vs Nifty 500 (9 funds)

• 5 ahead
• Top names: HDFC, White Oak, Parag Parikh
• Returns range: ~14% to ~17% per annum

Sortino ratio

• Top: Parag Parikh, HDFC, White Oak
• 5 beat, 4 lag
• Group slightly lags on returns but more than makes up on risk-adjusted performance

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Methodology / framework extracted (as described)

1. Step 1: Evaluate average market-cap allocation of flexi-cap funds over the last 5 years
   • Track large/mid/small exposure trends.
2. Step 2: Compare top AUM flexi-cap funds’ allocations vs category averages
   • Check whether “flexibility” shows up in the biggest funds.
3. Step 3: Segment funds by average large-cap exposure over the last 3 years
   • Buckets: ≥65%, 50%–65%, <50%
   • For each bucket:
     • Compare 3-year returns vs Nifty 500
     • Compare risk-adjusted performance (Sortino ratio)
4. Step 4: Measure “activeness/flexibility” using Coefficient of Variation (CV)
   • CV = standard deviation / mean (in %)
   • Higher CV → more frequent switching
   • Compare top quartile CV vs bottom quartile CV
   • Use 3-year returns and Sortino ratio vs Nifty 500
5. Step 5 (conclusion logic): Attribute performance differences to active manager calls vs index-like behavior

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Explicit recommendations / cautions (portfolio action)

1. If you care only about returns:

   • Don’t focus on flexi-cap allocation strategy. Choose funds with proven history of beating the index and peers.

2. If you want tactical shifts within flexi-cap:

   • Choose carefully—higher mid/small exposure or frequent switching does not automatically lead to better outcomes.

3. Prefer steadier mid/small exposure via other fund types:

   • Consider multi-cap funds or large & mid cap funds that keep minimum mid/small exposure and are “more immune” to tactical shifts.

4. DIY flexi-cap exposure:

   • Use separate large-, mid-, and small-cap funds with good track records, then rebalance periodically.

5. Simplest alternative for large-cap tilt:

   • A plain Nifty 500 index investment “can do the job as well.”

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Disclosures / disclaimers mentioned

• “Mutual fund investments are subject to market risks. Read all scheme related documents carefully.”
• No explicit “not financial advice” phrasing was included in the subtitles (as provided), beyond the mutual fund risk disclaimer.

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Presenters / sources

• ET Money’s YouTube channel (speaker/host not explicitly named in the provided subtitles; only “Hello and welcome to ET Money’s YouTube channel.” appears.)