S. Naren On Small Cap Risk, The AI Liquidity Suck & Why He Likes Banks & Insurance | CNBC TV18

Key market / macro factors discussed

• Oil price shock / transportation costs

  • Oil has risen back above ~$107+ (as stated), alongside higher transportation costs, weighing on Indian markets.
  • Recommendation/caution: Markets can truly recover overnight only if oil falls.
  • Also noted: don’t try to predict oil, as it can move suddenly in either direction.

• US AI theme pulling capital

  • The “story with artificial intelligence in the US” is absorbing money that might otherwise flow to other regions, including emerging markets.

• Higher US risk-free rate (rates via 10-year UST)

  • A rapid rise in 10-year US Treasury (UST) yields increases the risk-free rate, making non-US risk assets relatively less attractive.

• High capital supply / frequent issuance

  • Ongoing block deals, IPOs, and OFS have reduced “surplus” investable capital and increased stock supply.
  • Heavy issuance could pressure markets and may resemble earlier market cycles (described qualitatively).

Timelines / expectations

• Oil

  • The only factor expected to change markets overnight.

• AI capital flows & IPO supply

  • Effects are expected to play out over time / medium-term, because IPOs typically need to list and reprice.
  • Many IPOs are also not cheap at listing (“most IPOs” are described that way).

Explicit investing methodology / frameworks

Asset allocation emphasis (vs “pure stocks”)

• The core claim: investors focus too much on stocks and sometimes use derivatives leverage, instead of doing proper asset allocation.
• This matters particularly during high supply/issuance regimes.

Contrarian fund model: “CLOUD”

A contrarian approach with the following elements:

• C — Calculate: conduct research.
• L — Low debt: be cautious with companies with high debt.
• O — Overbought: be cautious with overbought stocks.
• U — Up higher growth potential: prefer higher growth potential.
• D — Disruptive changes: beware of disruptive changes.

Contrarian interpretation of “quality”

• “Contrary” changes over time—quality can mean value, growth, or quality depending on the cycle.
• Currently, the suggestion is that quality is closer to the opposite after about six years of low results.

Sector views and allocation guidance

• Banks & insurance (positive/interesting)

  • Banking & insurance look reasonably valued and “not bad” on a risk-return basis.
  • Insurance is singled out as the most contrarian sector right now due to prolonged underperformance.
  • While IRDAI-related excitement was noted, the emphasis was that insurance has had poor results for a long time, creating opportunity through contrarian positioning/overreaction.

• Financial sector

  • Main risk is less about fundamentals/valuation and more about crowding (too much money already owned).
  • Tone on outlook: next 2 years look pretty good (as stated).

• IT sector

  • Contrarian approach: track valuation relative to US SaaS peers (the earlier framework included starting when India valuations are near the US premium/discount).
  • However, the view here is that IT “wasn’t easy.”
  • AI has changed IT, but they don’t think it’s fully transformed yet; risk is partially real and not dismissed entirely.

• Gold / hedging & asset allocation

  • Gold is justified mainly as asset allocation, not necessarily as a standalone “great asset class.”
  • Observation: gold has behaved like a risk asset, and can fall when yields rise and markets fall.
  • Macro logic noted: global inflation and the likelihood that interest rates rise may keep gold volatile.

• Market-cap positioning (small/mid/large)

  • Large caps: valuations more reasonable; growth described as moderate.
  • Mid-caps: seen as expensive even when growth happened earlier → lower margin of safety.
  • Small caps: many opportunities, but the view is that they don’t see risk aversion; also, they claim no single segment is clearly safest.
  • Direct pushback: people may think small caps are “lowest risk” due to the last six months’ success—answer given: “The answer is no.”

• Debt vs equity / hybrid

  • After 2023, people have “hardly invested in debt,” so the recommendation is to invest significantly more in hybrid categories (stated as a general recommendation).

• Climate/energy and tech disruption framing (risk management)

  • Disruptive transitions (EVs, renewables vs thermal, AI-driven change) are framed as not zero-sum.
  • Timelines can reverse; example cited: thermal power came back after the 2018–20 period.

Key numbers / levels mentioned

• Oil: above ~$107+ (and associated transportation costs)
• Historical time windows referenced (stock profitability drought)
  • 1993–2003: “lost decade”
  • 2008–2013: no profits for ~5 years
• Current concern (viewer context)
  • Possibility of 3–4 years of flat/low stock returns (response emphasized that mutual funds are not only stocks).
• IPO performance framing
  • “A year later,” many IPOs can trade below the offer/sale price (no specific percentage provided).
• US rate driver
  • 10-year US Treasury (exact yield level not specified)

Risk management / cautions and portfolio implications

• IPO / block deal buyers should recognize risk

  • Qualitative warning: in some 2–3 year windows, a significant portion of IPOs end up below sale price after listing (example cited: around one year later).
  • Outcome is not uniform; investors should assess case-by-case, as many IPOs still succeed.

• Don’t rely on a single macro forecast

  • Specifically for oil: “don’t predict oil prices.”

• Stock-only investing risk

  • If markets don’t rise for a long time, stock-only investors can struggle.
  • Emphasis: use multi-product mutual fund categories aligned to risk/return expectations.

Disclosures / disclaimers

• Mutual fund risk disclaimer (as presented)

  “Investing in mutual funds is subject to market risk. Please read all offering documents carefully before investing.”

Presenters / sources

• S. Naren — Executive Director & CIO, ICICI Prudential AMC
• CNBC TV18 hosts/interviewers: Rima (named in subtitles; exact title not fully shown)
• Program/source: CNBC TV18 (broadcast from “Motilal Oswal studio” as stated)

Tickers / instruments mentioned

• No specific tickers were named.
• Instruments/processes referenced:
  • 10-year US Treasury bonds (10-year UST)
  • Oil (commodity; price level discussed)
  • Mutual funds (including debt, balanced, multi-asset, aggressive hybrid, specialized categories)
  • Derivatives markets (leverage mentioned)
  • IPOs / OFS / block deals
• Themes/countries referenced:
  • Emerging markets, US AI, India