1 Fund to Become Crorepati in 2026 | Ft. S. Naren

Finance-Focused Summary (Markets, Investing, Portfolio Construction)

Macro / Market Backdrop & Sentiment

• The CIO emphasizes that global macro events (e.g., US policy/tariffs) can impact portfolios because companies operate across multiple countries.
• He describes a practice of monitoring US developments constantly—“first thing… see what tweet has come from US president”—which reflects a macro/risk-aware mindset even for long-term investors.
• He notes a broader pattern of greed and fear driving markets, citing that even sophisticated investors such as Seth Klarman experience both.

Mistakes, Temperament, and Cycle Awareness

• Core belief: investing is not “arithmetic.” It involves mistakes, learning, and introspection.
• He credits early career mistakes (starting 1989, with a major correction cited in 1995–98) as shaping his discipline.
• Key takeaway:
  • Past underperformance can be low risk at the asset-class level.
  • Past outperformance can be a sign of higher risk.
• Contrast:
  • Asset classes: very low/negative past returns can indicate better forward opportunity.
  • Stocks: you can’t blindly apply the same logic—stock-level outcomes depend on company survival and fundamentals. “Averaging down” can lead to large losses.

Contrarian Investing “With a Calculator” (Not Blind Contrarianism)

• He endorses contrarian thinking but warns against contrarianism without risk analysis.
• Examples where contrarian bets were avoided because they “didn’t fit the calculator”:
  • Junk infrastructure companies (2007)
  • Junk real estate companies (2007)
  • Some NBFCs and banks failing roughly 7–8 years back
• He argues that ignoring risk once you’re contrarian leads to trouble—unfavorable versus quality or momentum approaches.

Performance / Strategy Examples (Timeframes)

• 2018–2020: he describes a method of buying different sets of stocks monthly (including PSUs, metals, telecom). Later, another set labeled “quality stocks” continued to rise.
  • This phase tested patience; the approach later worked.
• 2021–2022: he calls the results for that earlier set “phenomenal.”
• Rule of thumb:
  • Contrarian success isn’t instant—expecting it to work the next day creates unrealistic expectations.

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Portfolio Construction & Asset Allocation Framework

1) Asset Allocation Is the “Job”

• He strongly advocates hybrid investing and views asset allocation as the primary driver of investor outcomes.
• He points to mutual funds—especially asset allocation-oriented categories—as the practical implementation tool.

2) Current Positioning (High-Level, Non-Numeric)

• He can’t share specific positions, but broadly:
  • For some years, he believed international markets were more contrarian than India, building exposure via global mutual funds.
  • More recently, he believes India has become the “contra market” (India has underperformed other markets).
• He repeatedly emphasizes mutual funds as the preferred vehicle.

3) Preferred Vehicles

• Multi-asset / hybrid funds for beginners and long-term investors.
• For gold/silver exposure: the “proper method,” in his view, is through multi-asset funds rather than direct gold/silver investing.

4) Real Estate Stance

• He is “not a big believer” in residential real estate in Indian cities due to low yields (illustratively, “when your yield is 2%…”).

5) Gold & Silver View (Timing & Risk Caution)

• He says:
  • Long-term: gold and silver have become “one of the most dangerous asset classes” in his framework.
  • Timing: “The time to invest in gold and silver is gone.”
• Rationale:
  • Past performance has recently been strong (he references “last 5 years” rising).
  • His framework-based timing warns that asset classes with extreme recent performance deserve caution.

6) Framework for When to Enter an Asset Class

A repeatable guideline:

• Compare very good past performance vs very bad past performance:
  • If an asset class has done very badly for many years, be positive on it.
  • If an asset class has done extremely well recently, be careful.
• Illustrative eras:
  • 2013: Indian real estate best performing; Indian equity poor → move from real estate to equity.
  • 2020: both real estate and equities attractive because past returns were very low.
  • 2022–2023: gold/silver attractive because past returns were very low at that time.
• Risk interpretation:
  • Low/negative past returns = low risk (at the asset-class level).
  • Don’t directly translate this to individual stocks.

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Sector Views (What Excites / Scares)

Scared: US AI-Linked Mega-Cap Companies

• Concern about American AI-based companies:
  • Very high/clustered market capitalizations (described as ranges).
  • Together, a handful of firms sum to roughly ~$14 trillion in market cap (no tickers specified).
• He frames this as “bubbly” behavior driven by sentiment and financial flows, comparing it to historical bubble dynamics (as in 2007).

Potential “Positive Side” Sectors

• Oil & Gas: it has not done well globally for 15–16 years, making it a candidate for mean reversion. He’s more confident because he doesn’t expect a sudden oil-demand collapse.
• IT: he’s researching it positively because IT stocks have done badly, though he’s less certain than with oil & gas.
• EV disruption: not “sudden collapse”—electric vehicles are still “small” outside China.

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Emerging Markets / Global Investing (Practical Constraints)

• Evaluating foreign markets is challenging because:
  • Few mutual funds in India may be open for global subscriptions at the moment.
  • Investing globally “on your own” requires more skill sets.
• Nonetheless, the same framework applies (past returns, valuation, cycle)—just harder to execute without the right vehicles.

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Risk Management / Avoiding “Gambling”

• He discourages:
  • Direct trading of derivatives for most retail investors.
  • “Gambling” behavior instead of disciplined asset allocation.
• He notes SEBI caution that it’s generally not easy to make money in derivatives long run.

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Selling, Sizing, and Portfolio Simplification

Key Rules Mentioned

• He frames discipline as buying, selling, sizing, but emphasizes selling and sizing are often ignored.

Mutual Funds Approach

• Use asset allocation categories as a “hero/filled it / shut it / forget it” style framework.
• If a category runs too hot (rallies strongly), investors can exit/switch out of that category.

Stocks Approach

• “Theory” for stocks:
  • Avoid “selling” emotionally; do “switching” (sell/replace positions systematically when fundamentals change).
• Sizing:
  • Depends on conviction, and conviction requires research.
  • You can’t size properly without doing the work; if you don’t know a stock well, sizing may not be worth it.

Complexity Caution

• Avoid creating a “zoo” portfolio (too many holdings).
• Without proper sizing, a portfolio can end up with many investments but little meaningful impact—and no time to track them.

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IPO Investing Notes (Retail Behavior & Red Flags)

• He agrees IPO craze is high among Gen Z/younger investors.
• What investors can check:
  • Anchor book information (who invested).
  • Monthly shareholding disclosures by mutual funds (available on platforms).
• He does not push deep annual report/prospectus parsing in this discussion; instead, he suggests simpler screens:
  • Over-subscription can be a positive sign (but not a full valuation model).
• He distinguishes the firm’s IPO approach from retail signals:
  • They conduct full research before deciding.
  • Anchor holders must hold shares for defined lockups:
    • 50% for 1 month post-listing
    • 50% for 3 months post-listing

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Tax / Policy Commentary (GST 2.0 and Macro Effects)

• He frames changes (including GST 2.0, slab simplifications, and tax cuts) as:
  • Not “noise,” but part of a longer-term fiscal/economic tradeoff.
  • Government reduces taxes and creates near-term consumption stimulus, but must borrow more.
• Proposed “virtuous cycle”:
  • Reduced GST → higher consumption → more company activity → hiring/investment → more spending.
• He also says that around 2025 the government aimed to:
  • Cut interest rates (to help borrowers)
  • Cut income tax for incomes up to about 15 lakh
  • Cut GST
• Near-term impacts mentioned:
  • More cars, two-wheelers, beauty/wellness → capacity expansions, new projects, construction inputs
  • Lower excise duty on cement → lower construction costs
  • Insurance: more health/life purchases → more agent activity and treatment volumes

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Instruments / Tickers / Sectors Mentioned

Instruments / Assets

• Gold, Silver, Real estate (residential), Cash, Derivatives
• Multi-asset funds, Hybrid funds
• Balanced Advantage, Equity Saving
• Equity & Debt
• Multi-asset categories

Sectors

• Oil & Gas, IT, Metals, Telecom
• PSUs (Public Sector Undertakings), Infrastructure, Real Estate
• American AI companies (mega-cap group)

Geographies (Referenced)

• US, NASDAQ, India, China, Turkey, Japan
• Emerging markets / Brazil (mentioned)

Tickers: None explicitly named.

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Key Explicit Numbers & Timelines

• Career/time:
  • Started working: 1989
  • Momentum catch-up: 1994–1995
  • Big correction period: 1995–1998
  • Failed finance examples: “7–8 years back”
• Contrarian strategy:
  • Window: 2018–2020
  • Results: 2021–2022
• Gold/silver timing framework scenarios:
  • “last 5 years”
  • Examples: 2013, 2020, 2022–2023
• Oil & gas mean reversion confidence: 15–16 years
• Bubble comparison context: 2007
• IPO lockups:
  • 50% for 1 month
  • 50% for 3 months
• Policy/tax:
  • Income tax cut for ~15 lakh income maximum
• AI mega-cap cluster:
  • Combined mega-cap cluster approx ~$14 trillion (no tickers)

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Disclosures / Disclaimers

Investment in the securities market is subject to market risks. Read all the related documents carefully before investing.

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Presenters / Sources Mentioned

• ICICI Pro AMC CIO: Sankarar (Sankar) and Naren (introduced as “This is Sankar and Narin”)
• Warren Buffett
• Seth (Sith) Klarman
• SEBI (regulator referenced regarding derivatives)
• Donald Trump (US president tweets referenced)
• SEBI / Government of India (policy context referenced)