Why PMS Underperforms and Why India's HNI Investors Are Switching to SIF in 2026

Portfolio Management Services was the default sophisticated investment choice for Indian HNI investors for nearly two decades. With a ₹50 lakh minimum investment, a credentialed portfolio manager, and a personalised account holding individual stocks rather than units of a fund, PMS felt like the natural upgrade from mutual funds for investors who had accumulated meaningful wealth and wanted professional individual-stock management. Hundreds of thousands of HNI investors made this upgrade — and a significant proportion of them are now questioning whether PMS delivered on its promise.

The questions are legitimate and supported by data. SEBI's own studies of PMS performance across registered portfolio managers have consistently shown that the majority of PMS strategies underperform their benchmarks on a net-of-fee basis over 3–5 year periods. The reasons for this underperformance are structural — not merely a run of bad luck or a difficult market — which means the underperformance is likely to continue rather than revert. This article explains the structural causes of PMS underperformance, why they are unlikely to be resolved by simply choosing a better PMS manager, and why an increasing number of India's most sophisticated HNI investors are allocating to Specialised Investment Funds as either a complement to or replacement for their PMS allocation.

What Does the Data Say About PMS Performance in India?

The data on PMS performance in India tells a story that most PMS marketing materials are careful not to highlight — the majority of SEBI-registered PMS strategies underperform their benchmark indices on a net-of-fee, risk-adjusted basis over meaningful time horizons. Understanding this data is the starting point for any honest evaluation of whether your current or prospective PMS allocation is serving your wealth goals.

SEBI's PMS performance disclosure requirements, introduced progressively since 2020, have made it possible to compare registered PMS performance against benchmarks in a more standardised way than was previously available. The disclosed data consistently shows three patterns. First, the distribution of PMS returns is highly skewed — a small number of exceptional PMS strategies deliver strong outperformance while the majority cluster around or below benchmark returns. Second, the strategies that appear at the top of the performance table in any given year are rarely the same ones at the top three years later — suggesting that PMS outperformance is less consistent than marketing materials imply. Third, after accounting for the full fee structure — management fees of 1.5–2.5% plus performance fees of 10–20% above a hurdle rate — the net return to investors is significantly lower than the gross portfolio return that PMS managers typically highlight in their presentations.

SEBI's data is publicly accessible on SEBI's PMS disclosure portal — and reviewing the net-of-fee performance of your specific PMS strategy against its benchmark over your actual holding period is the single most important data check any PMS investor can perform. Use SafalCheck™ to score your current mutual fund and SIF holdings on a data-driven basis as you evaluate alternatives to your PMS allocation.

What Is Concentration Risk and Why Does It Hurt Most PMS Portfolios?

Concentration risk is the primary structural cause of PMS underperformance — and it is built into the PMS model by design rather than being an avoidable implementation error. A standard PMS portfolio holds 15–25 individual stocks selected through high-conviction research — a portfolio concentration that is 3–5 times more concentrated than the 50–100 stock portfolios typical of well-diversified mutual funds. This concentration is the defining feature of the PMS product and the primary marketing argument for it — the idea that a concentrated high-conviction portfolio managed by a skilled stock-picker will outperform a diversified fund that dilutes returns across many positions.

The empirical reality is that concentration amplifies both skill and error simultaneously. A concentrated PMS portfolio where the manager's high-conviction calls are correct generates spectacular returns — the few genuinely exceptional PMS managers who appear at the top of performance tables consistently have earned their reputations through exactly this kind of concentrated correct positioning. A concentrated PMS portfolio where the manager's high-conviction calls are incorrect — even partially, on 3–4 of the 20 positions — generates equally spectacular underperformance. And the uncomfortable statistical reality is that being correct on 75–80% of high-conviction calls across multiple market cycles is an extremely demanding standard that very few human stock-pickers meet consistently over time.

The contrast with SIF is stark and structural. A well-managed equity long-short SIF generates alpha from both its long positions and its short positions simultaneously — effectively doubling the number of return-generating decisions while using the short book to hedge the concentration risk of the long book. A SIF that runs 40 long positions and 30 short positions is not only more diversified than a 20-stock PMS but is generating potential alpha from 70 active positions rather than 20 — with the short book providing a natural hedge against the long positions' concentration risk. This structural advantage compounds over multiple market cycles to produce meaningfully better risk-adjusted returns than concentrated PMS portfolios for most HNI investors.

How Does Fee Drag Systematically Erode PMS Returns?

Fee drag is the second structural cause of PMS underperformance — and unlike concentration risk, it is completely predictable, completely calculable, and completely unavoidable within the PMS fee structure. Understanding the exact mathematics of PMS fee drag motivates the shift to SIF more clearly than any qualitative argument can.

A typical PMS fee structure charges 2% management fee plus 20% performance fee above a 10% hurdle rate. On a ₹1 crore PMS investment generating 18% gross return in a strong year, the fee calculation works as follows: management fee of ₹2 lakh (2% of ₹1 crore) is deducted first, leaving ₹16 lakh of net performance gain. The hurdle rate of 10% exempts the first ₹10 lakh from performance fee. The performance fee of 20% applies to the remaining ₹6 lakh of excess return, generating ₹1.2 lakh in performance fees. Total fees in this scenario: ₹3.2 lakh on a ₹1 crore investment — a 3.2% effective fee on AUM that reduces the investor's net return from 18% gross to 14.8% net. All figures illustrative only — not a projection.

The fee drag problem compounds significantly in years of moderate returns. If the same PMS generates 12% gross return — a year of reasonable but not exceptional performance — the management fee still consumes 2% (₹2 lakh), and the performance fee of 20% on the 2% excess above the hurdle rate consumes another 0.4% (₹40,000). The investor's net return on a 12% gross year is approximately 9.6% — a 2.4% fee drag on an already moderate return. Compare this to a well-structured SIF with a similar total return profile — the SIF's fee structure is comparable in good years but often lower in moderate years due to better hurdle rate design and high-watermark provisions that prevent double-counting of performance fees. For a detailed comparison of fee structures across investment vehicles, read our comprehensive SIF fee models guide.

Why Is Key-Person Risk the Most Underestimated Danger in PMS Investing?

Key-person risk is the most underestimated structural danger in PMS investing — and the one that HNI investors consistently fail to adequately account for when making initial PMS allocation decisions. PMS is fundamentally a bet on an individual — the specific fund manager who built the strategy, developed the stock selection framework, and whose judgment drives every investment decision in the personalised portfolio. When that individual leaves the AMC, the investor's foundational reason for being in the specific PMS evaporates — but the capital is still deployed in a portfolio that the original manager is no longer managing.

Key-person departures in the Indian PMS industry are more common than investors realise. Successful PMS managers are frequently recruited by larger AMCs, global asset managers, family offices, or to start their own AIF or investment firm — creating a constant churn at the senior level of India's PMS industry. When a key PMS manager departs, the AMC's typical response is to appoint a replacement manager and assert continuity of the investment philosophy. In practice, the replacement manager brings their own investment biases, research preferences, and risk management approach — creating a portfolio that evolves away from the strategy the original manager built and that the investor originally committed capital to.

SIF addresses key-person risk through two structural mechanisms. First, SIF strategies are built around defined strategy frameworks — rules-based or explicitly documented investment processes — that provide continuity when individual team members change, reducing the dependence on any single person's judgment. Second, SIF's SEBI-mandated transparency requirements mean that any significant strategy change following personnel changes will be visible in the monthly factsheet's sector allocation, exposure levels, and attribution data — allowing investors to identify and respond to strategy drift that PMS investors often discover too late.

What Does the Typical PMS-to-SIF Transition Look Like for HNI Investors?

The typical PMS-to-SIF transition for HNI investors is not an all-or-nothing switch — it is a gradual reallocation that begins with the next new capital deployment and progressively reduces PMS exposure as existing positions allow exit without excessive tax consequences. Understanding the practical mechanics of this transition helps investors act on the SIF reallocation decision efficiently rather than indefinitely deferring it due to transition complexity.

Phase 1 — Immediate action: Deploy all new investable capital to SIF rather than adding to existing PMS. This requires zero disruption to the existing PMS portfolio and immediately begins building SIF exposure without triggering capital gains events in the PMS. If you have ₹10 lakh or more of new investable capital, invest it directly in your chosen SIF scheme through an AMFI-registered SIF distributor.

Phase 2 — Tax-efficient PMS reduction: Review your PMS portfolio for positions that can be exited with minimal tax impact — either positions held long enough for LTCG treatment (20% tax rate), positions with losses that can be used to offset gains, or positions that have appreciated modestly and where the tax cost of exit is outweighed by the benefit of reallocation. Exit these positions progressively over 2–4 quarters and redeploy the proceeds into additional SIF allocations.

Phase 3 — Review the remaining PMS for genuine value: After completing Phase 2, evaluate whether the remaining PMS allocation is in a strategy where the specific manager has a demonstrably differentiated edge that justifies maintaining the allocation. If yes — and if the manager's track record and key-person risk assessment supports this conclusion — maintain the residual PMS allocation. If the remaining PMS is staying by default rather than by conviction, complete the transition to SIF and use SafalZenith to model the optimal SIF allocation for your overall portfolio after the full transition.

How Does SIF Structurally Address the Problems That Cause PMS Underperformance?

SIF structurally addresses each of the three primary causes of PMS underperformance — concentration risk, fee drag, and key-person risk — through design features that are built into the SEBI-regulated SIF framework rather than left to individual AMC discretion. Understanding this structural comparison makes the case for SIF as a PMS alternative more concrete than any abstract performance comparison can.

Concentration risk in PMS is addressed by SIF's broader portfolio construction (40–80 positions versus PMS's 15–25) and by the short book's natural hedge against the long book's concentration. The long-short structure fundamentally changes the risk profile of an equivalent-sized equity allocation — the same capital spread across long and short positions in a SIF has dramatically lower single-stock concentration risk than the same capital in a PMS portfolio.

Fee drag in PMS is partially addressed by SIF's SEBI-mandated high-watermark provisions that prevent double-charging on recovered losses, and by the competitive fee pressure in the SIF market where multiple AMCs are competing for HNI allocations. SIF fees are comparable to PMS fees in strong return years but are structurally fairer in moderate and poor return years due to the high-watermark protection.

Key-person risk in PMS is addressed by SIF's strategy framework documentation requirements and the SEBI-mandated disclosure that makes strategy drift immediately visible in monthly factsheets. While SIF does not eliminate key-person risk entirely — particularly for discretionary long-short strategies — the transparency and documentation requirements significantly reduce the risk that a key-person departure causes the strategy to drift invisibly before investors can respond.

Conclusion

PMS underperformance is not a phase that will correct itself with a better choice of manager or a longer waiting period — it is a structural outcome of the PMS model's inherent concentration risk, fee drag, and key-person dependency. The most sophisticated HNI investors in India are recognising this structural reality and making a considered, evidence-based transition toward SIF — not because SIF is a perfect product, but because its long-short structure, SEBI-regulated transparency, mandatory high-watermark provisions, and accessible ₹10 lakh minimum address each of the structural causes of PMS underperformance in ways that staying in PMS simply cannot. The question for most HNI investors is not whether to add SIF to their portfolio — it is how much of their existing PMS allocation belongs in SIF and how to make the transition tax-efficiently.