--- title: "Performance Measurement | RupeeCase Learn" description: "How to read your own returns honestly, benchmark selection, attribution analysis, separating skill from luck." source_url: "https://www.rupeecase.com/learn/path-4/module-4-4-performance-measurement" --- [Path 04 4 of 5](/learn/path-4/)Performance Measurement[Next 4.5](/learn/path-4/module-4-5-risk-management) Your momentum strategy returned 32% last year. Was that good? You cannot answer without three more numbers: what the benchmark returned, how much risk you took to get there, and whether the return came from your signal or simply from the market going up. Performance measurement is the habit of asking those questions honestly. The investment industry has a long record of making performance look better than it was, through a soft benchmark, a flattering start date, or returns before costs. Here is how I read any return number, including the ones on this site. Four numbers to check before you believe a return TRI Benchmark with dividends SEBI rule for MFs since Feb 2018 60 Months to evaluate 5 years, at least one full fall 0.5 Information ratio worth having above 0.8 is rare 55 to 65% Healthy monthly win rate not 90, not 50 ## The right benchmark Every return number is meaningless without a benchmark. The benchmark answers one question: what would you have earned without this strategy, taking the same kind of risk? For a factor strategy that picks from the [Nifty 500](/learn/glossary#nifty-500), the fair benchmark is the **Nifty 500 TRI (Total Return Index)**, not the [Nifty 50](/learn/glossary#nifty-50) and not a price index. Two reasons: * **TRI, not price index.** A price index ignores dividends. The TRI assumes they are reinvested. Your strategy's returns include dividends, so the benchmark must too, or you get a fake [alpha](/learn/glossary#alpha) of roughly the dividend yield every year. On the Nifty 50 that yield was 1.24% as of 8 Oct 2026 (NSE index data). [SEBI](/learn/glossary#sebi) has required mutual funds to benchmark against the TRI variant since 1 February 2018 for exactly this reason. * **Same universe, same risk.** A strategy that buys mid and small caps takes more risk than the Nifty 50. Comparing it with the Nifty 50 credits it with the extra return that simply comes from owning smaller, riskier companies. Compare like with like: a midcap strategy against the Nifty [Midcap 150](/learn/glossary#midcap-150) TRI, an all cap one against the Nifty 500 or Nifty Total Market TRI. [SEBI circular SEBI/HO/IMD/DF3/CIR/P/2018/04, 4 Jan 2018: benchmarking to the Total Return variant](https://www.sebi.gov.in/sebi_data/attachdocs/jan-2018/1515066187290.pdf) 1. **Fix it upfront**Never re-pick it later. 2. **Fix it upfront**Never re-pick it later. 3. **Fix it upfront**Never re-pick it later. 4. **Fix it upfront**Never re-pick it later. 5. **Fix it upfront**Never re-pick it later. ## The five performance metrics you need 1. Excess return How much more did you earn than the benchmark? Excess = strategy CAGR − benchmark CAGR Simple and honest. A strategy that earned 28% a year while the Nifty 500 TRI earned 20% has 8 points of excess return. Use CAGR over 5 years or more. 2. Information ratio How steadily did you earn that excess? A high ratio means the edge showed up year after year, not in one lucky burst. IR = excess return / tracking error Tracking error is the annualised standard deviation of the monthly excess returns. Above 0.5 is good, above 0.8 is excellent and rare. 8 points of excess with 20 points of tracking error (IR 0.4) is a rougher ride than 6 points with 6 points of tracking error (IR 1.0). 3. Risk adjusted return: Sharpe, Sortino, Calmar How much return per unit of risk? Sharpe = (R − Rf) / volatility Sortino = (R − Rf) / downside volatility Calmar = CAGR / max drawdown Sharpe punishes all volatility, up and down. Sortino punishes only the bad kind. Calmar asks how much you earned for the worst fall you had to sit through, which is closest to how investors actually feel risk. 4. Drawdown against the benchmark's drawdown Did you fall further than the market in bad periods? Relative drawdown = strategy max DD − benchmark max DD If the benchmark fell 35% and your strategy fell 45%, you took 10 points more pain. Return alone hides this; always read the two drawdowns side by side. 5. Rolling returns and win rate Was the result spread across time, or concentrated in a few good years? Rolling CAGR: every 1 and 3 year window Win rate = periods ahead / all periods A strategy that is ahead in most rolling windows is adding value steadily. Good factor strategies beat their benchmark in roughly 55 to 65% of months, not 90%. Knowing that ahead of time stops you abandoning a strategy in a normal bad patch. Rs 100 in the Allcap model against Rs 100 on the Nifty 50 TRI line The Allcap model grew from 100 to about 610 between July 2021 and July 2026; the Nifty 50 TRI line, drawn as a smoothed [CAGR](/learn/glossary#cagr) line, to about 160. ## Worked example: reading a real factsheet Let me apply all five to a factsheet on this site, the Allcap strategy, the way I would read anyone else's. Every figure is model, back tested, after charges, from the factsheet and the strategy lineup as of 27 Apr 2026. | Metric | Allcap, model | Nifty 50 | What it tells you | | --- | --- | --- | --- | | CAGR | 44.7% | 9.8% (TRI) | Large excess return, over a 5 year window | | Sharpe | 1.68 | 0.69 | Much more return per unit of volatility | | Calmar | 1.96 | 0.54 | Paid well for the worst fall | | Volatility | 23.58% | 14.15% | A much bumpier ride | | Max drawdown | −22.72% | −16.92% | Fell about 6 points further than the index | | Weeks up | 62.07% | 56.32% | A healthy, not magical, hit rate | | Worst 1 year window | −4.2% | | Calendar 2025 was −4.2% | Model, back tested, after charges. Risk figures are weekly over the rolling 5 years to 13 Jul 2026; CAGR and Sharpe from the lineup as of 27 Apr 2026. Not a promise of future returns. Now the sceptic's questions. First, the benchmark. The factsheet compares with the Nifty 50, but Allcap buys from the whole Nifty Total Market, which includes smaller companies. The fairer check is a broad index TRI, and I would expect the gap to be smaller against it. Second, the window. The back test starts in July 2021, a period that includes a strong run for Indian mid and small caps. Five years is the minimum I accept, and it is still one market regime. Third, the drawdown: 6 points deeper than the Nifty 50 and 476 days to recover. If you could not sit through that, the CAGR is irrelevant to you. I publish these numbers precisely so readers can ask these questions. A good strategy survives the questions. A story does not. ## Separating skill from market The simplest attribution splits a return into the part that came from market exposure and the part that did not: Alpha after market exposure Alpha = R − [Rf + β × (Rm − Rf)] R is the strategy return, Rm the benchmark return, Rf a risk free rate such as the 91 day treasury bill yield, β the strategy's sensitivity to the benchmark. A strategy with beta above 1 should beat the benchmark in a rising market just from leverage to it; that part is not skill. Numbers: a strategy returns 28% in a year when the Nifty 500 TRI returns 20% and the risk free rate is 6.5%. Its beta is 1.2. The market explains 6.5 + 1.2 × (20 − 6.5) = 22.7%. Alpha is 28 − 22.7 = 5.3 points, not the 8 points the headline gap suggests. In a falling year the same beta works against you, which is why high beta strategies look brilliant in bull markets and ordinary over a full cycle. ## How long before you can evaluate a strategy? This is the most important and most ignored question. Short periods are dominated by luck, not skill. | Evaluation period | Confidence in results | Why | | --- | --- | --- | | 1 month | Near zero | Monthly returns are almost pure noise. Random portfolios show one month alpha all the time. | | 1 year | Very low | One year is dominated by the market regime. Anything can look good or bad in 12 months. | | 3 years | Moderate | Patterns start to show, but it may not include a full market cycle. | | 5 years | Meaningful | Usually includes at least one significant correction. | | 10 years or more | High | Several cycles. Alpha that survives this long is more likely real. | For context: as of 9 Oct 2026 the Nifty 50 was down 10.57% over one year and 14.5% below its 2 Jan 2026 record close (NSE daily data). Any strategy judged on that single year alone would be judged mostly on the market, not on its rule. **The practical implication:** do not change a strategy because of six or twelve months of underperformance. With a healthy win rate of 55 to 65% of months, you should expect to trail the benchmark in 35 to 45% of months. Six bad months in a row are well within normal. Judging a strategy every three to five years is not laziness. It is statistics. **Myth**The strategy with the highest CAGR is the best one. **Fact**CAGR without the benchmark, the window, the costs and the worst fall says little. A high return bought with a drawdown you could not hold is worth nothing to you. ## Common mistake: the flattering comparison The most common mistake is accepting the comparison you are shown. A mid cap fund against the Nifty 50 price index. A three year window that starts at a market low. Returns before fees, or before tax. Each choice adds a few points of apparent skill, and together they can turn an average result into a star. The fix is a one line rule. Before you congratulate any strategy, find the right TRI for the same universe over the exact same window, after every cost, and compare. If it does not beat the index after fees, it is not a strategy. It is a story. I hold the factsheets on this site to that rule, and you should too. ## How this shows up in RupeeCase Performance on RupeeCase factsheets Every strategy factsheet shows calendar year returns, monthly returns, rolling 1 year and 3 year returns, the deepest falls with days to recover, and a risk table with Sharpe, Sortino, Calmar, volatility, best and worst week and weeks up, next to the Nifty 50. Charts draw the Nifty 50 TRI as a CAGR line. All return figures are model, back tested, after brokerage, STT, exchange charges and GST, over a rolling 5 year window. Read them with the questions above. The [track record page](/track-record) brings every model curve and every graded podcast call together, and [compare](/compare) lines any two strategies up. A strategy page in the app: the model line, the benchmark and a readout for any month. Model, back tested.RupeeCase app, sample data ## Questions readers ask What is a good Sharpe ratio for an Indian equity strategy?Broad indices have usually shown Sharpe ratios below 1 over long periods; the Nifty 50 showed 0.69 over the Allcap factsheet's window. Above 1 over five years or more is strong. Very high figures over short windows usually mean the window was kind, not that the strategy is extraordinary. Why do mutual fund factsheets show TRI benchmarks?Because SEBI requires it. Since 1 February 2018 scheme performance must be compared with the Total Return variant of the benchmark, so that dividends do not create a false gap between the fund and its index. Is a back test the same as a track record?No. A back test applies a rule to past data; a live record shows what happened after the rule was fixed. Read back tested figures as evidence that a rule was coherent in the past, never as a promise. Module 5.5 covers out of sample testing in detail. What does Performance Measurement cover?Reading your own returns honestly, the right benchmark, attribution analysis, how long you need to evaluate a strategy, and why most performance measurement misleads more than it informs. It works through The right benchmark, The five performance metrics you need, Worked example: reading a real factsheet, Separating skill from market and more. It is module 4.4 of Path 4, Portfolio Construction, about 9 minutes of reading, free. TTry it ## Performance Measurement, in numbers. Compound annual growth rate from start and end values Your numbers, the module's formula, nothing stored. Calculator ### CAGR Calculator The single annualised number that matches the actual compounding outcome over a multi-year holding. Initial value (INR)Final value (INR)Years [Full calculator: Lumpsum calculator](/learn/tools/lumpsum-calculator)[Full calculator: CAGR calculator](/learn/tools/cagr-calculator) AApply it on RupeeCase ## Allcap Multi Asset 50 stocks, 10% debt, 10% gold. The broad-market engine with a cushion. An index built on the rules this path teaches, multi asset construction, equity, debt, gold, held stock by stock in your own demat. Risk band: Moderate. [See the strategy](/strategies/allcap-multi-asset)[Sign up for RupeeCase](https://invest.rupeecase.com/signup?strategy=allcap-multi-asset) [CAGR40.5%Sharpe1.81Max DD−21.3%Minimum281000Model, back tested, as of 27 Apr 2026. Not client returns, not a promise.](/strategies/allcap-multi-asset) QQuick check ## 10 questions, 7 to pass. Pick an answer and the explanation appears. Your result stays on this device and counts towards the Path 04 certificate. CCheck yourself ## Path 04 so far. Your quick check results on this device, stop by stop. 1. [TPath test, 30 questionsNot yet](/learn/path-4/module-4-5-risk-management#pathTestSection) 2. [TPath test, 30 questionsNot yet](/learn/path-4/module-4-5-risk-management#pathTestSection) 3. [TPath test, 30 questionsNot yet](/learn/path-4/module-4-5-risk-management#pathTestSection) 4. [TPath test, 30 questionsNot yet](/learn/path-4/module-4-5-risk-management#pathTestSection) 5. [TPath test, 30 questionsNot yet](/learn/path-4/module-4-5-risk-management#pathTestSection) 6. [TPath test, 30 questionsNot yet](/learn/path-4/module-4-5-risk-management#pathTestSection) Explore next ## Put the module to work. * [GuideHow to read a factsheet: every number on a fund, index or strategy sheetReturns, cost, risk and holdings, in the order that matters, on a real NSE sheet.](/guides/how-to-read-a-factsheet) * [Blog noteYou sorted by return. Here is what you missed.Strategy notes, a short note](/blog/2026-08-03-evening-sort-by-return/) * [Blog noteThe three year number that changes every dayReturns and risk maths, a short note](/blog/2026-07-29-morning-three-year-number/) * [Blog noteSame returns, different retirementReturns and risk maths, a short note](/blog/2026-09-05-morning-same-returns-different-retirement/) Community ## Join my WhatsApp group. Scan the code, fillFill one short form, and join my WhatsApp group. Slides, sources, factsheets and the rebalance logs live there, and members join a daily Google Meet with me. [Sign up for RupeeCase](https://invest.rupeecase.com/signup) [Join the WhatsApp group](https://forms.gle/C6HMtM1Z2GfeocQV7) [One form, one group](https://forms.gle/C6HMtM1Z2GfeocQV7)Scan with your phone camera SSources ## Where the figures come from. 1. Sharpe, W.F. (1994), The Sharpe Ratio, Journal of Portfolio Management 2. Sharpe, W.F. (1994), The Sharpe Ratio, Journal of Portfolio Management 3. Sharpe, W.F. (1994), The Sharpe Ratio, Journal of Portfolio Management 4. Sharpe, W.F. (1994), The Sharpe Ratio, Journal of Portfolio Management GTerms ## 5 terms from this module. Nifty 500 TRIThe Total Return Index version of Nifty 500, includes dividends reinvested. The correct benchmark for any strategy selecting from the Nifty 500 universe. Information RatioAnnualised excess return divided by tracking error. Measures consistency of alpha generation. Above 0.5 is good; above 0.8 is excellent. [Tracking error](/learn/glossary#tracking-error)The standard deviation of the difference between strategy returns and benchmark returns. High tracking error means performance diverges significantly from the benchmark in any given period. Rolling alphaAlpha calculated over a rolling window (e.g., 36 months), computed at each monthly interval. Shows whether alpha was persistent or concentrated in specific periods. Win rateThe fraction of periods (months or years) in which the strategy outperformed the benchmark. Good systematic strategies typically win 55 to 65% of months. [All 91 terms in the glossary](/learn/glossary) [From the podcast archiveEP29: Pro Just Reset. Day One Of May Series. Buy Dips With HedgeThe Tanmay Edge, 29 Apr 2026, graded 3/5](/podcast/episodes/2026-04-29)[Pillar guidePortfolio Construction11 modules across paths 4, 10](/learn/portfolio-construction) Education only, not investment advice. RupeeCase is a technology platform operated by QC Alpha Technologies Pvt Ltd; it is not a fund, a PMS or a SEBI registered investment adviser. Model returns are back tested and not a promise of future returns. Figures carry the date they were checked.