Do not judge a Portfolio Management Service by a single return number. In India, the most useful starting point is to separate three different questions: how the investment approach performed independent of investor cash flows, how your own money actually performed, and how much risk the manager took to generate that return.
TWRR, or Time-Weighted Rate of Return, is the standardised strategy-level performance measure used for PMS performance reporting under the SEBI framework.
XIRR is the investor-level return that incorporates the timing of your additions and withdrawals.
CAGR works well when a lump sum grows from a starting value to an ending value without intermediate cash flows, but it can be misleading when you add or withdraw money during the period.
After understanding the return measure, compare the PMS with an appropriate benchmark and examine alpha, volatility, Sharpe ratio, Sortino ratio, maximum drawdown, rolling returns, downside capture, portfolio concentration, turnover, fees and taxation.
The PMS with the highest headline return isn’t automatically the one with the strongest investment performance.
Why PMS Performance Is Harder to Compare Than Mutual Fund Returns
A mutual fund has a common NAV for investors in the same plan. PMS works differently. A discretionary portfolio manager manages each client account individually, even when investors follow the same Investment Approach.
Two clients can therefore experience different returns because they entered on different dates, added money at different times, withdrew capital, imposed restrictions, or received slightly different portfolios during deployment.
That creates two valid but different performance questions. The first is: how well did the Investment Approach itself perform?
The second is: what return did this particular investor earn on the actual rupees invested? TWRR is designed primarily for the first question; XIRR is designed for the second.
This distinction matters in India because SEBI has standardised PMS performance reporting.
The current framework requires portfolio managers to present the TWRR of an Investment Approach along with the trailing return of the selected benchmark when they communicate or advertise the IA’s performance.
When reporting to an individual investor, the manager must also present that investor’s XIRR, accompanied by minimum, maximum and median XIRRs generated across investors in that Investment Approach, while separately showing the IA TWRR and benchmark return.
The 2026 SEBI Framework: What PMS Investors Should Expect to See
The SEBI Master Circular for Portfolio Managers dated 16 July 2025 remains the central consolidated performance-reporting reference in 2026. It incorporates the performance-benchmarking framework introduced in December 2022.
SEBI uses the concept of an Investment Approach, or IA, which is the documented investment philosophy used to manage client money. Each IA is tagged to one of four broad Strategies: Equity, Debt, Hybrid or Multi Asset.
APMI prescribes a limited set of benchmarks for each Strategy, and the portfolio manager selects an appropriate benchmark for the IA.
For performance communication, TWRR is the standardised IA-level metric. For the individual investor, XIRR must also be disclosed.
The framework additionally restricts misleading presentation: model-portfolio returns and cherry-picked investor returns cannot be used as performance reporting, while relative performance against the selected benchmark must accompany IA performance.
A May 2026 SEBI order also reinforced that TWRR is the mandated PMS performance-evaluation measure and that using CAGR as an additional metric does not replace TWRR or the requirement for consistent reporting.
CAGR: The Simplest Return Metric
CAGR stands for Compound Annual Growth Rate. It answers a simple question: If an investment grew at one constant annual rate, what rate would turn the starting amount into the ending amount over the stated period?
Formula: CAGR = (Ending Value / Beginning Value)^(1 / Number of Years) – 1.
Suppose ₹50 lakh becomes ₹80 lakh after four years, with no additions or withdrawals. The CAGR is approximately 12.47% a year.
The investment didn’t necessarily earn exactly 12.47% every year; CAGR converts total growth into a smooth annualised rate.
When CAGR is useful
CAGR is easy to understand and useful for a clean lump-sum investment, comparing long-term growth rates, or explaining a portfolio’s annualised growth when no external cash flows interfere with the calculation.
When CAGR becomes misleading in PMS
PMS investors frequently add capital, withdraw money or receive portfolios at different dates. If you simply divide today’s portfolio value by the original investment and calculate CAGR, you can mistakenly treat new money as investment profit.
CAGR cannot properly distinguish return from investor cash flow.
XIRR: Your Personal PMS Return
XIRR stands for Extended Internal Rate of Return. It calculates the annualised return on actual dated cash flows.
That makes it particularly useful for PMS investors because contributions and withdrawals rarely occur at perfectly equal intervals.
The calculation treats investments into the portfolio as investor cash outflows and withdrawals or the current ending value as cash inflows.
It then finds the annualised discount rate that makes the net present value of those cash flows equal to zero.
You do not need to solve the equation manually. Excel, portfolio-reporting systems, and PMS platforms calculate XIRR once you enter the dates and cash flows correctly.
Why your XIRR can differ from the PMS strategy return
Imagine a PMS strategy performs exceptionally well before you invest, then enters a weaker period immediately after you deploy capital.
The strategy’s long-term TWRR may still look strong, while your XIRR is modest. The reverse can also happen. This is not necessarily an error; it reflects the timing of your actual money.
TWRR: The Best Starting Point for Comparing PMS Managers
TWRR stands for Time-Weighted Rate of Return. It measures an investment manager’s performance without letting investor-driven cash flows distort the result.
Split the measurement period whenever an external cash flow occurs. Calculate the return for each sub-period separately, then link those sub-period returns geometrically.
Simplified formula: TWRR = [(1 + r1) × (1 + r2) × … × (1 + rn)] – 1, where each r is the return between external cash-flow events. If the measurement period spans multiple years, you can annualise the cumulative TWRR.
This is why TWRR is more appropriate for comparing one PMS Investment Approach with another.
Investor A adding ₹50 lakh immediately before a market rally should not make the manager look more skilled than Investor B, who did not add money at that time.
CAGR vs XIRR vs TWRR: One Example Explains the Difference
Consider an investor who starts with ₹50 lakh. In Year 1, the PMS earns 20%, so the portfolio grows to ₹60 lakh. The investor then adds another ₹25 lakh, bringing the account to ₹85 lakh.
During Year 2, the PMS loses 5%, leaving approximately ₹80.75 lakh.
| Metric | Result | What It Tells You |
| Naive CAGR from ₹50 lakh to ₹80.75 lakh | 27.08% | Misleading because it incorrectly treats the ₹25 lakh addition as investment growth |
| Investor XIRR | ~4.52% | Annualised return on the investor’s actual dated cash flows |
| Cumulative TWRR | 14.00% | Manager return after neutralising the effect of the ₹25 lakh contribution |
| Annualised TWRR over two years | ~6.77% p.a. | Annualised strategy-level return over the two-year period |
This example is the core reason PMS investors should not ask only, “What is the CAGR?” If cash flows occurred, XIRR answers the investor-experience question, while TWRR is the better manager-comparison measure.
Which Return Metric Should You Use?
| Question | Best Metric to Start With | Why |
| How did my actual rupees perform? | XIRR | Uses actual dates and cash flows |
| How did the PMS Investment Approach perform? | TWRR | Removes the distortion caused by investor cash-flow timing |
| How fast did one lump sum grow over several years? | CAGR | Simple annualised growth when there are no intervening flows |
| Did the PMS beat its benchmark? | TWRR vs benchmark return | Compares manager performance with the relevant opportunity set |
| Did the manager earn enough return for the risk taken? | Sharpe / Sortino + drawdown | Adds risk to the return comparison |
Benchmark: The Return Number Is Meaningless Without the Right Comparison
Suppose an equity PMS generates 15% annualised TWRR over five years. Is 15% good? You cannot answer that until you know what the relevant benchmark delivered and what kind of stocks the PMS owned.
If a diversified large-cap benchmark returned 10%, the PMS generated meaningful excess return before accounting for risk differences. If a comparable small-cap benchmark returned 22%, the same 15% result may look weak.
Benchmark choice changes the interpretation.
Under the PMS benchmarking framework, APMI groups Investment Approaches into broad Strategies and prescribes a set of benchmarks for each Strategy. The benchmark should reflect the core philosophy of the IA.
Investors should therefore compare a mid-cap-oriented PMS with an appropriate mid-cap or broad-market benchmark rather than automatically using Nifty 50 for every portfolio.
TRI vs price index
Whenever possible, compare against the Total Return Index, or TRI, version of the benchmark because TRI includes dividends from index constituents.
Comparing a dividend-inclusive PMS return against a price-only index can make the PMS appear artificially stronger.
Alpha: Did the Manager Add Value Beyond the Benchmark?
People often use “alpha” casually to mean “PMS return minus benchmark return.” If the PMS earned 15% and the benchmark earned 12%, investors may say the PMS generated three percentage points of alpha.
The formal finance definition is more demanding. Jensen’s alpha adjusts the expected portfolio return for market risk, measured through beta.
Formula: Alpha = Portfolio Return – [Risk-Free Rate + Beta × (Market Return – Risk-Free Rate)].
Why does this matter? If a PMS beats the market only because it consistently takes much more market risk, the raw excess return can overstate the manager’s skill.
A positive risk-adjusted alpha is stronger evidence that the manager added value beyond what the portfolio’s market exposure would have expected.
Beta: How Sensitive Is the PMS to the Market?
Beta measures how strongly a portfolio tends to move relative to its benchmark. A beta near 1 means its market sensitivity has historically been similar to the benchmark.
A beta above 1 indicates greater sensitivity; below 1 indicates lower sensitivity.
Beta is not a complete measure of risk. A concentrated PMS can contain company-specific risk that beta does not capture.
It should therefore be used alongside volatility, drawdown and concentration data.
Sharpe Ratio: Return Earned per Unit of Total Risk
The Sharpe ratio asks how much excess return the portfolio generated for the volatility investors experienced. The standard form is: Sharpe Ratio = (Portfolio Return – Risk-Free Rate) / Standard Deviation of Portfolio Returns.
All else equal, a higher Sharpe ratio means the investor received more return per unit of total volatility. But Sharpe is not a standalone quality score.
Short measurement periods, unusual return distributions, and stale prices in illiquid securities can distort it.
A simple interpretation
Imagine PMS A earns 15% with 20% annualised volatility while PMS B earns 13.5% with only 10% volatility. Depending on the risk-free rate, PMS B can have the better Sharpe ratio despite the lower headline return.
An investor choosing purely from the 15% versus 13.5% comparison would miss that difference.
Sortino Ratio: Focus on Harmful Volatility
The Sortino ratio is similar to the Sharpe ratio but penalises only downside deviation, not all volatility. This distinction is intuitive: most investors do not complain when a portfolio rises much more than expected.
Sortino Ratio = (Portfolio Return – Minimum Acceptable Return or Risk-Free Rate) / Downside Deviation.
For PMS strategies with asymmetric returns, Sharpe and Sortino together can provide a better picture than either one alone.
Standard Deviation: How Unstable Have Returns Been?
Standard deviation measures how much returns vary around the average. A strategy whose monthly returns fluctuate widely generally has a higher standard deviation than a steadier strategy.
Higher volatility is not automatically bad. A small-cap PMS is naturally more volatile than a conservative large-cap strategy.
The useful comparison is against the strategy’s benchmark and peer investment approaches with genuinely similar mandates.
Maximum Drawdown: One of the Most Important PMS Metrics
Maximum drawdown measures the largest peak-to-trough decline during a period. If a portfolio rises from ₹1 crore to ₹1.4 crore and later falls to ₹1.05 crore before recovering, the drawdown from the peak is 25%.
This metric is powerful because drawdowns are emotionally and financially real. A strategy can have an impressive five-year CAGR and still have subjected investors to a 40% fall along the way.
Recovery mathematics also matters. A 10% decline requires an 11.1% gain to recover. A 25% decline requires a 33.3% gain. A 50% decline requires a 100% gain merely to return to the starting value.
Why the Highest-Return PMS May Not Be the Stronger PMS
Consider two hypothetical five-year strategies. Strategy A produces annual returns of +30%, -20%, +25%, +18% and +12%. Strategy B produces annual returns of +18%, -8%, +20%, +15%, and +12%.
| Metric | Strategy A | Strategy B | Illustration |
| 5-year CAGR | 11.43% | 10.91% | A is only modestly ahead on annualised return |
| Annual return volatility | 19.67% | 11.26% | B experienced much smaller fluctuations |
| Maximum drawdown | -20.00% | -8.00% | B had materially smaller peak-to-trough loss |
| Illustrative Sharpe ratio (6% risk-free) | 0.36 | 0.48 | B generated more excess return per unit of volatility |
| Illustrative Sortino ratio | 0.60 | 0.86 | B also looks stronger on downside-adjusted return |
Strategy A has the higher CAGR. Yet Strategy B delivered almost the same compounded result with substantially less volatility and a much smaller drawdown.
Which is preferable depends on the investor’s objective and risk capacity, but the table shows why “highest return” and “best performance quality” are not the same.
Rolling Returns: Better Than Point-to-Point Returns
Point-to-point performance can be heavily affected by the selected start date.
A PMS launched immediately after a market crash may show exceptional since-inception returns, while another launched near a market peak can appear weak despite following a sound process.
Rolling returns help address this by repeatedly measuring returns across overlapping windows.
A three-year rolling-return analysis, for example, asks what each three-year holding period produced rather than looking only at the three-year period ending today.
Useful questions include: What percentage of three-year rolling periods beat the benchmark? What was the worst three-year outcome? What was the median?
How wide was the range between best and worst periods? Consistency across rolling periods is often more informative than a single since-inception CAGR.
Calendar-Year Returns and Down-Market Behaviour
Annual calendar returns help investors understand how the manager behaved in different market environments. Do not look only at how much the PMS made in bull markets.
Examine bear markets, sharp corrections and sideways markets.
If the benchmark fell 20% and the PMS fell 12%, that relative downside protection can be valuable even though the absolute return is negative.
Conversely, a high-beta PMS may dramatically outperform during rallies but give most of that advantage back during corrections.
Upside Capture and Downside Capture
Upside capture estimates how a PMS performed during periods when the benchmark was positive. Downside capture measures performance during periods when the benchmark was negative.
Downside capture below 100% generally indicates the strategy historically lost less than the benchmark during falling periods, while upside capture above 100% suggests it captured more of the benchmark’s gains during rising periods.
Interpretation depends on methodology and period, so use the measures comparatively rather than as absolute quality labels.
A strategy that captures 90% of market upside but only 60% of downside can compound very differently from a strategy that captures 120% of upside and 140% of downside.
Portfolio Concentration: Returns Can Hide Single-Stock Risk
Many PMS strategies are intentionally concentrated. That can create meaningful alpha when the manager is right, but it also creates idiosyncratic risk that CAGR alone may not reveal.
Check the number of holdings, the weight of the top five and top ten positions, maximum single-stock exposure, sector concentration, and whether the portfolio has persistent factor bets such as small caps, financials, or cyclicals.
A 20% return from a portfolio where one stock contributed half the gain has a different repeatability profile than a 20% return generated across multiple independent investment decisions.
Portfolio Turnover: Is the Manager Trading Too Much?
Portfolio turnover indicates how actively the manager replaces holdings. High turnover is not automatically bad; some strategies are designed to be tactical.
But frequent trading can increase brokerage, Securities Transaction Tax and other transaction costs, and may create additional realised tax events for the client.
Compare turnover with the stated philosophy. A PMS marketed as a patient five-year compounder but showing very high turnover deserves further explanation.
Cash Allocation: The Hidden Driver in Some PMS Comparisons
PMS managers can hold different levels of cash depending on their mandate and market view. A strategy holding 20% cash during a rally may lag its benchmark, while the same cash buffer can reduce damage during a correction.
When analysing relative performance, ask whether the PMS return is compared with a fully invested benchmark and whether persistent cash reflects the intended process or simply deployment delays.
Gross Return vs Net Return: Which Number Matters?
Investors should focus on returns after all relevant fees and expenses when assessing a PMS’s economic result.
Management fees, performance fees, brokerage, custody, and other charges reduce the return the client actually retains.
SEBI requires standardised, consistent performance reporting.
When comparing external marketing material, confirm whether the figure is TWRR, whether it is net of all fees and expenses as applicable to the regulatory presentation, and whether any additional CAGR shown is clearly labelled.
Your personal XIRR can still differ from the Investment Approach’s standardised return because of timing, portfolio composition and your individual cash flows.
Taxation: Why Pre-Tax PMS Return Is Not Your Final Return
PMS clients generally own the underlying securities in their own account structure.
Therefore, portfolio transactions can create taxable capital gains or other tax consequences at the client level rather than waiting until units are redeemed as in a pooled fund structure.
Two PMS strategies with the same pre-tax performance can create different after-tax outcomes if one trades frequently and realises gains while the other holds securities for longer.
Turnover, holding period, security type and the investor’s tax position all matter.
This is why sophisticated PMS evaluation should eventually move from “gross market return” to “net of fees, after-tax outcome relative to risk,” especially for high-turnover strategies.
How to Compare Two PMS Strategies Fairly: 15-Step Framework
- Confirm that both strategies have similar mandates. Do not compare a concentrated small-cap PMS with a conservative large-cap strategy as though they are substitutes.
- Use TWRR for the IA-level performance comparison.
- Check the selected benchmark and use the TRI version wherever relevant.
- Compare identical time periods. Compare a five-year number ending today with another five-year number ending on the same date.
- Check since-inception dates. A newly launched strategy has not been tested through as many market cycles.
- Examine rolling three-year and five-year returns, not only point-to-point CAGR.
- Measure benchmark outperformance across multiple periods, not just one exceptional year.
- Compare maximum drawdown and time taken to recover from the worst drawdown.
- Review Sharpe and Sortino ratios using consistent return frequency and risk-free assumptions.
- Examine concentration: number of stocks, top-ten weight and sector exposure.
- Review turnover and transaction intensity.
- Understand the fee structure, including fixed fee, performance fee, hurdle and high-water-mark terms.
- Examine cash allocation and whether the benchmark comparison is economically fair.
- Review your own XIRR separately from the manager’s TWRR.
- Read the latest Disclosure Document, client report and APMI IA information instead of relying only on third-party rankings.
A PMS Performance Scorecard for Lay Investors
| Metric | What to Ask | What It Reveals | Common Mistake |
| TWRR | Did the IA beat the benchmark over comparable periods? | Manager/strategy performance independent of investor flows | Using personal XIRR to rank managers |
| XIRR | What did my actual money earn? | Investor-specific experience | Comparing one investor’s XIRR with another client |
| CAGR | Was this a clean lump-sum period? | Smooth annualised growth | Using CAGR despite additions/withdrawals |
| Alpha | Did return exceed the appropriate risk-adjusted expectation? | Potential manager value-add | Calling all excess return alpha |
| Sharpe | How much excess return came per unit of volatility? | Risk-adjusted efficiency | Comparing ratios calculated with different assumptions |
| Sortino | How much return came per unit of downside risk? | Downside-adjusted efficiency | Ignoring the chosen target/risk-free rate |
| Max Drawdown | How bad was the worst peak-to-trough fall? | Capital-loss experience | Looking only at final CAGR |
| Rolling Returns | How consistent were outcomes across entry dates? | Consistency and timing sensitivity | Using only since-inception performance |
| Turnover | How actively does the manager trade? | Cost/tax/process implications | Assuming low turnover is always superior |
Red Flags in PMS Performance Presentations
Be cautious when a presentation highlights a CAGR without showing the standardised TWRR, compares the PMS with an irrelevant benchmark, emphasises one exceptional investor account, shows model-portfolio returns, uses a price index against a total-return portfolio, or changes benchmarks after weak performance without a clear rationale.
Also investigate charts that begin immediately after a market crash, performance numbers covering different dates than the benchmark, “since inception” numbers from a short favourable period, returns without fee clarification, or risk-adjusted metrics without disclosing calculation frequency and assumptions.
Frequently Asked Questions
What is the best metric to compare PMS performance in India?
TWRR is the appropriate starting metric for comparing PMS Investment Approaches because it neutralises investor cash-flow timing and is the standardised performance measure required under the SEBI framework.
Why does my PMS XIRR differ from the TWRR shown on the website?
Your XIRR depends on when you entered or exited the portfolio and your specific holdings. TWRR measures the Investment Approach independently of those investor-specific cash flows.
Is CAGR wrong for PMS?
No. CAGR is mathematically valid for clean beginning-to-ending growth without intervening cash flows.
It becomes misleading if you ignore contributions or withdrawals, and it should not replace SEBI-standardized TWRR reporting for the IA.
What is a good Sharpe ratio for PMS?
No universal cutoff makes a PMS good or bad. Compare Sharpe ratios among genuinely similar strategies over the same period using the same return frequency and risk-free-rate convention.
What is maximum drawdown?
It is the largest percentage fall from a previous portfolio peak to a subsequent trough during the measurement period.
Should a PMS always beat the Nifty 50?
No. The appropriate benchmark depends on the Investment Approach. A mid-cap, small-cap, debt or multi-asset PMS may require a different benchmark.
Why should I use TRI benchmarks?
A Total Return Index includes dividends from index constituents, so it provides a fairer comparison with a portfolio return that includes dividends.
Is a PMS with lower drawdown automatically better?
No. Lower drawdown can be valuable, but it may come with lower upside. Evaluate return, drawdown, volatility, benchmark-relative performance and portfolio role together.
What is the minimum investment for a PMS in India?
The standard regulatory minimum remains ₹50 lakh per client, subject to specified exemptions such as accredited investors and applicable co-investment structures.
Where should I verify PMS performance data?
Use the portfolio manager’s current client/disclosure material, regulatory reporting, and APMI’s Investment Approach information.
Third-party platforms can help with screening but should not be the only source for investment decisions.
Conclusion: Analyse the Return, Then Analyse the Return Quality
PMS performance analysis becomes much simpler once you stop trying to make one metric answer every question.
Use TWRR to understand how the Investment Approach performed independently of client cash flows. Use XIRR to understand what your own money actually earned. Use CAGR only when the cash-flow pattern makes it appropriate.
Then compare the TWRR with a relevant benchmark and examine how the return was produced through alpha, volatility, Sharpe ratio, Sortino ratio, drawdown, rolling returns, concentration and turnover.
For an HNI investor, the goal should not be to identify the PMS with the most impressive number on a ranking table.
The goal is to identify a manager whose return is repeatable enough, whose risk is understandable enough, and whose strategy fits the role you want the PMS to play in your wider portfolio.
Disclaimer: This article explains performance measurement and does not rank or recommend any Portfolio Management Service. Risk-adjusted metrics depend on the period, return frequency, benchmark and assumptions used.