--- title: "Risk Metrics That Matter | RupeeCase Learn" description: "Sharpe ratio, Sortino, max drawdown, CAGR, alpha, beta, what each risk metric tells you and what it doesn't." source_url: "https://www.rupeecase.com/learn/path-2/module-2-3-risk-metrics-that-matter" --- [Path 02 3 of 5](/learn/path-2/)Risk Metrics That Matter[Next 2.4](/learn/path-2/module-2-4-how-backtesting-works) Most investors evaluate a strategy by one number: [CAGR](/learn/glossary#cagr). "This strategy returned 42% last year" sounds great. But 42% with a 58% [drawdown](/learn/glossary#drawdown) in between, where your ₹10 lakh fell to ₹4.2 lakh before recovering, is a very different experience than 42% with a maximum 15% drawdown. Risk metrics give you the complete picture. Before you put real money into any strategy, learn to read the six below. Anyone who shows you only CAGR is leaving out the part that decides whether you can live with it. **38%**how far the [Nifty 50](/learn/glossary#nifty-50) fell, close to close, from January to 23 March 2020 NSE index closes **30.7%**peak to trough fall of the Nifty200 Momentum 30, two years to 9 Oct 2026 NSE index closes **7.2%**10 year government bond yield, a common risk free rate in India Market close, 1 Oct 2026 **5.50%**RBI repo rate after the 7 Oct 2026 hike RBI monetary policy, 7 Oct 2026 1. **[Alpha](/learn/glossary#alpha)**What is left that is genuinely extra? 2. **[Alpha](/learn/glossary#alpha)**What is left that is genuinely extra? 3. **[Alpha](/learn/glossary#alpha)**What is left that is genuinely extra? 4. **[Alpha](/learn/glossary#alpha)**What is left that is genuinely extra? 5. **[Alpha](/learn/glossary#alpha)**What is left that is genuinely extra? That is the order I read a back test in. Drawdown first, not CAGR. Most sales decks reverse it because CAGR is the cleanest number to market. Drawdown is the one that decides whether you stay invested long enough to collect the CAGR. ## The six metrics you need to know CAGR Compound Annual Growth Rate How fast your money grew, annualised CAGR = (Ending Value / Starting Value) ^ (1 / Years) − 1 CAGR converts total return over any period into an equivalent annual rate. ₹1 lakh growing to ₹3.2 lakh in 5 years = CAGR of 26%. Clean, comparable across strategies, and essential. But completely silent about the journey. CAGR says nothing about path. A 26% CAGR could involve a 55% drawdown in year 2, or it could have been smooth every year. Always pair with drawdown. MDD Maximum Drawdown The worst peak-to-trough loss in history MDD = (Trough Value − Peak Value) / Peak Value Maximum Drawdown is the largest percentage decline from any portfolio peak to the subsequent trough before a new peak. If your ₹10 lakh portfolio reached ₹15 lakh then fell to ₹8.5 lakh before recovering, MDD = (8.5−15)/15 = −43.3%. This is the most important risk metric for most retail investors, it represents the actual loss you must stomach and not panic-sell through. MDD is backward-looking. The next drawdown may be worse than anything in the backtest. Treat MDD as a floor estimate for future worst-case scenarios, not a ceiling. SR Sharpe Ratio Return per unit of total risk Sharpe = (Portfolio Return − Risk-Free Rate) / Standard Deviation of Returns Sharpe measures how much excess return you earned for each unit of volatility. In India, the risk free rate is usually taken as the 10 year government bond yield, about 7.2% on 1 October 2026, or a short term T bill rate. A Sharpe above 1.0 is good; above 1.5 is excellent; above 2.0 is exceptional for long-only equity. Below 0.5 suggests the returns don't justify the volatility. Sharpe penalises upside volatility equally with downside. A strategy with occasional large gains has a lower Sharpe than a smoothly grinding one, even if the big-swing strategy is actually better. This is why Sortino exists. SOT Sortino Ratio Return per unit of downside risk only Sortino = (Portfolio Return − Risk-Free Rate) / Downside Deviation Sortino uses only downside volatility (negative returns below the threshold) in the denominator. Upside volatility is ignored entirely, which is how most investors actually experience risk. A Sortino above 1.5 is generally good. When Sortino is significantly higher than Sharpe, it signals the strategy's volatility is mostly on the upside. If Sortino >> Sharpe, that's actually good news: the volatility is mostly upside swings, not downside losses. β Beta Sensitivity to market movements Beta = Covariance(Portfolio, Market) / Variance(Market) Beta measures how much your portfolio moves when the market moves. Beta = 1.0 means it moves with the benchmark. Beta = 1.4 means when the market falls 10%, your portfolio tends to fall 14%. Momentum strategies typically have beta above 1: NSE's factsheet put the Nifty200 Momentum 30 at 1.18 against the Nifty 50 over five years to September 2026. Quality and low volatility sit below 1: the NIFTY200 Quality 30 at 0.82. Low beta ≠ low risk. A low-beta portfolio can still carry high concentration or sector risk that doesn't show up in the beta calculation. Always read beta alongside drawdown. α Alpha Return above what market exposure explains Alpha = Portfolio Return − [Risk-Free Rate + Beta × (Market Return − Risk-Free Rate)] Alpha is the return you earned that can't be explained by simply owning the market at your portfolio's beta. If your strategy returned 22% but the beta-adjusted benchmark expectation was 16%, your alpha is +6%. Consistent positive alpha over 5+ years, after costs, is the ultimate evidence that a systematic strategy adds real value. Alpha above 0% annually after costs means the strategy genuinely adds value beyond passive market exposure. It is a high bar. Most active funds do not clear it over ten years, as Module 2.1 showed. ## Reading metrics together | Metric | What it answers | Minimum bar | Excellent | | --- | --- | --- | --- | | CAGR | How fast did money grow? | > Nifty 500 CAGR | > Nifty 500 + 8% | | Max Drawdown | What was the worst loss? | < 45% | < 25% | | Sharpe Ratio | Return per unit volatility? | > 0.8 | > 1.3 | | Sortino Ratio | Return per unit downside? | > 1.0 | > 1.8 | | Beta | Market sensitivity? | Understood & intentional | Context-dependent | | Alpha | Value above market? | > 0% annualised | > 5% annualised | ₹100 in Allcap Multi Asset against ₹100 in the Nifty 50 TRI: drag along the line and find the falls The Allcap Multi Asset model line grows far faster than the index line, with a fall of 21.3% at its worst; the index line is a smoothed CAGR path. Model, back tested. Monthly values from lineup.json. The benchmark line is a smoothed CAGR path, not the daily index. Not a promise of future returns. Drag along that line. The model curve does not go up in a straight line. Its worst fall, 21.3% from December 2024, took about a year to recover. If you had been in it, that year is the only part you would remember. The CAGR is the reward. The drawdown is the price. ## A worked example Real numbers this time. Here are three strategies from the RupeeCase lineup, all model, back tested over the same window, as of 27 April 2026. | Strategy | CAGR | Max drawdown | Sharpe | Risk band | | --- | --- | --- | --- | --- | | Allcap | 44.70% | −22.72% | 1.68 | Moderately High | | Allcap Multi Asset | 40.47% | −21.32% | 1.81 | Moderate | | Energy Basket | 33.12% | −39.48% | 1.12 | High | | Nifty 50 Equal Weight | 16.35% | −15.71% | 1.13 | Moderate | Model, back tested. As of 27 Apr 2026, from the RupeeCase lineup data. Not client returns and not a promise of future returns. Higher return did not mean better: Sharpe tells a different story Sharpe ratio, model, back tested 1. Energy Basket**1.12** 2. Energy Basket**1.12** 3. Energy Basket**1.12** 4. Energy Basket**1.12** Model, back tested. As of 27 Apr 2026. Not a promise of future returns. Read them in my order. Drawdown first: Energy Basket fell almost 40% at its worst, nearly twice the others. CAGR next: it earned less than the two Allcap strategies anyway. Sharpe confirms it: the same reward per unit of risk as a plain equal weight Nifty, with two and a half times the drawdown. Now compare Allcap with Allcap Multi Asset. The multi asset version gave up about 4 points of CAGR for a 10% debt and 10% gold sleeve, and got a slightly smaller drawdown and a higher Sharpe. Neither is "the best". Which one fits depends on the fall you can sit through. **The CAGR trap:** Plenty of pitches show only CAGR. A 35% CAGR with a 65% max drawdown means you needed to hold through a 65% loss to get that return. Most investors can't and don't, they panic-sell at the bottom, locking in the loss and missing the recovery. A lower CAGR with lower drawdown may be the far better real-world outcome. ## Common mistakes with risk metrics **Comparing Sharpe ratios built on different windows.** A Sharpe from a bull market is not comparable with one that includes 2020. Check the dates. **Treating max drawdown as the worst case.** It is the worst so far. The next one can be deeper. **Using a monthly series and calling it daily risk.** Monthly data hides falls that happened inside the month. Know the frequency behind the number. **Forgetting the risk free rate moves.** With the 10 year yield at about 7.2% in October 2026, a strategy needs a higher return than in a 5% world to earn the same Sharpe. **Myth**A higher CAGR always means the better strategy. **Fact**Only if you can hold it. A 40% CAGR with a 60% drawdown needs you to watch ₹100 become ₹40 and not sell. Most people sell, and earn the drawdown without the CAGR. ## How this shows up in RupeeCase Every RupeeCase strategy page leads with the same set of numbers: CAGR, Sharpe and max drawdown, all model, back tested and dated, next to the benchmark, plus a risk band from Moderate to Very High. The strategy pages also list the worst drawdowns with their start and recovery dates. The [Allcap Multi Asset](/strategies/allcap-multi-asset) page is a good place to practise: find the drawdown first, then decide whether the CAGR is worth it to you. What is a good Sharpe ratio for an Indian equity strategy?Above 1 is good for long only equity, above 1.5 is strong. Context matters: a Sharpe from a short or unusually calm window flatters any strategy. Always check the period and the risk free rate used. What is the Calmar ratio?CAGR divided by the absolute max drawdown. A strategy with 20% CAGR and a 20% max drawdown has a Calmar of 1. It answers a simple question: how many years of return does the worst fall cost? Why do back tested drawdowns often look smaller than real ones?Because real trading adds slippage, delays and your own reactions, and because the future can hold a fall the history did not. Treat any back tested drawdown as a minimum, not a maximum. What does Risk Metrics That Matter cover?Every strategy shows you a CAGR. Fewer show you the drawdown. Almost none explain what the Sharpe ratio actually means. This module covers all six metrics you need, and where each one misleads you. It works through The six metrics you need to know, Reading metrics together, A worked example, Common mistakes with risk metrics and more. It is module 2.3 of Path 2, Systematic Investing Fundamentals, about 8 minutes of reading, free. TTry it ## Risk Metrics That Matter, in numbers. Risk-adjusted return on annualised numbers Your numbers, the module's formula, nothing stored. Calculator ### Sharpe Ratio Calculator Excess return per unit of total volatility. Annualised inputs. Strategy CAGR (%)Risk free rate (%)Annualised volatility (%) [Full calculator: CAGR calculator](/learn/tools/cagr-calculator)[Full calculator: XIRR calculator](/learn/tools/xirr-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 with debt and gold sleeves, 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 02 certificate. CCheck yourself ## Path 02 so far. Your quick check results on this device, stop by stop. 1. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 2. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 3. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 4. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 5. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 6. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) Explore next ## Put the module to work. * [GuideHow to compare two investment strategies: seven checks, worked on two real rulesSeven checks past the headline return, worked on two rules with the same CAGR.](/guides/how-to-compare-investment-strategies) * [Blog noteThe shallow fall compoundsStrategy notes, a short note](/blog/2026-07-28-evening-shallow-fall-compounds/) * [Blog noteSequence of returns: the order you live throughReturns and risk maths, a short note](/blog/2026-07-27-morning-sequence-of-returns/) * [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. Sortino, F. & van der Meer, R. (1991). Downside Risk. Journal of Portfolio Management. 2. Sortino, F. & van der Meer, R. (1991). Downside Risk. Journal of Portfolio Management. 3. Sortino, F. & van der Meer, R. (1991). Downside Risk. Journal of Portfolio Management. 4. Sortino, F. & van der Meer, R. (1991). Downside Risk. Journal of Portfolio Management. 5. Sortino, F. & van der Meer, R. (1991). Downside Risk. Journal of Portfolio Management. 6. Sortino, F. & van der Meer, R. (1991). Downside Risk. Journal of Portfolio Management. GTerms ## 7 terms from this module. [CAGR](/learn/glossary#cagr)Compound Annual Growth Rate, the smoothed annual return from start to end value over N years. Does not reflect path or volatility. Max DrawdownLargest peak-to-trough percentage decline in portfolio value before a new peak is reached. The most psychologically important risk metric. [Sharpe Ratio](/learn/glossary#sharpe-ratio)Excess return (above risk-free rate) divided by total standard deviation. Penalises both upside and downside volatility. [Sortino Ratio](/learn/glossary#sortino-ratio)Like Sharpe but uses only downside deviation. Penalises bad volatility only, ignoring upside swings. [Beta](/learn/glossary#beta)Sensitivity to market returns. Beta > 1 amplifies market moves; beta < 1 dampens them. Not the same as total risk. [Alpha](/learn/glossary#alpha)Returns above what market exposure (beta) would predict. Positive alpha = genuine value added beyond passive market ownership. Underwater plotChart showing the portfolio’s percentage decline from its most recent peak over time. Shows the duration and depth of each drawdown period. [All 91 terms in the glossary](/learn/glossary) [From the podcast archiveEP32: Buy The Sell-Off. The Pin Is At 24,000The Tanmay Edge, 5 May 2026, graded 3/5](/podcast/episodes/2026-05-05)[Pillar guideSystematic Investing18 modules across paths 2, 3, 5](/learn/systematic-investing) 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.