--- 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" --- Skip to main content [Learn](/learn)›[Path 2: Systematic Investing Fundamentals](/learn/path-2)›Module 2.3 # Risk Metrics That Matter 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. TK Tanmay Kurtkoti Founder & CEO, RupeeCase · QC Alpha ⏱ 14 min read ⟳ Updated 14 Jun 2026 ◆ Intermediate Most investors evaluate a strategy by one number: CAGR. “This strategy returned 42% last year” sounds great. But 42% with a 58% 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 exist to give you the complete picture. Before deploying real money into any strategy, you should be able to read and interpret all six metrics here. Vendors who show you only CAGR are hiding something. The risk cost Indian investors actually pay 59 Nifty 500 max drawdown, Mar 2020 NSE daily data 7.15 10Y G Sec yield used as risk free rate RBI Apr 2026 36 months average underwater period 2008 and 2020 CRISIL 1.0 Sharpe threshold that separates good from average Industry benchmark NSE SEBI RBI AMFI How to read a backtest in the right order 1 Max Drawdown Can you survive it 2 CAGR Is the reward worth it 3 Sharpe + Sortino Reward per unit of pain 4 Beta Market dependence 5 Alpha Genuine value add Start with drawdown. Not CAGR. Most vendor decks reverse the order 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 approximated by the 10-year G-Sec yield (~7%). 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 lockstep with Nifty 500. Beta = 1.4 means when Nifty falls 10%, your portfolio tends to fall 14%. Momentum strategies typically have Beta above 1 (they own high-momentum stocks which are often high-beta). Low Volatility strategies have Beta below 1. ⚠ 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. This is a high bar, only systematic, evidence-based strategies tend to clear it consistently. ## 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 | Where attention actually goes vs where it should go CAGR 62 Sharpe ratio 18 Max Drawdown 12 Alpha + others 8 Share of attention across 148 strategy vendor decks I reviewed between 2022 and 2025. Most lead with CAGR. Drawdown is almost always buried. Flip this order and you change your outcome. Max drawdown across Indian fund categories over the last 10 years Liquid fund 4 Nifty Low Vol 30 31 Nifty 50 TRI 38 Nifty 500 TRI 42 Flexi Cap median 45 Nifty Midcap 150 52 Nifty Smallcap 250 64 Sectoral concentrated 71 Max peak to trough decline 2015 through Mar 2025. Source NSE and Value Research. The bar is not the return, it is the loss you had to watch without selling. **From my notebook, March 2020.** I had the Nifty 500 momentum sleeve, fully invested, coming into Feb 2020. Over the next 4 weeks the book drew down 34% peak to trough. My CAGR over the prior 3 years was 21%. The CAGR looked great in every deck I had shown clients. The drawdown was the only number that mattered the day my phone started ringing. I did not sell because I had sized the position to exactly this scenario in advance. That single decision to pre size for a 45% tail, not the CAGR, is what let me compound from 2020 onward. Drawdown first. Always. ## A worked example Two hypothetical strategies on Nifty 500 over 5 years: Strategy A, Momentum CAGR: **38%** Max Drawdown: **−44%** Sharpe: **1.12** Sortino: **1.65** Beta: **1.31** Alpha: **+22%** Strategy B, Quality CAGR: **26%** Max Drawdown: **−22%** Sharpe: **1.48** Sortino: **2.10** Beta: **0.78** Alpha: **+11%** Strategy A has the higher CAGR. Strategy B has better risk-adjusted returns. Which is better? It depends on you, your risk tolerance, your horizon, and whether you can actually hold through a 44% drawdown without selling at the bottom. **The CAGR trap:** Strategy vendors routinely show only CAGR. A 35% CAGR with 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. ◆ RupeeCase shows all six Every strategy and backtest on **[RupeeCase](https://invest.rupeecase.com)** shows CAGR, max drawdown, Sharpe, Sortino, Beta, and Alpha. The tearsheet also shows the equity curve, underwater plot (drawdown over time), rolling Sharpe, and monthly return heatmap, so you see the full shape of returns, not just the headline number. Full tearsheet on every strategy All 6 risk metrics + equity curve + drawdown chart No cherry-picked numbers. Full transparency on every backtest. [Start free →](https://invest.rupeecase.com/signup) TK A note from the author The metric I use most: maximum drawdown I’ve run backtests for years. The number I look at first is always max drawdown, not CAGR. CAGR is easy to show. Drawdown tells me whether a strategy is actually deployable in the real world. A strategy with 40% CAGR and 60% max drawdown isn’t a good strategy. It’s a strategy that requires you to watch your portfolio drop by ₹60 on every ₹100 you invested, and hold steady. Almost no one can do that. The strategies I build on RupeeCase are specifically designed with drawdown constraints, because a strategy you can’t stick with has zero real-world value. TK Tanmay Kurtkoti Founder & CEO, RupeeCase · 17 years systematic trading · QC Alpha RC **Put learning into practice.** Every concept in Path 2 maps directly to a tool in the RupeeCase terminal. [Explore terminal →](https://invest.rupeecase.com) Glossary, Module 2.3 CAGRCompound 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 RatioExcess return (above risk-free rate) divided by total standard deviation. Penalises both upside and downside volatility. Sortino RatioLike Sharpe but uses only downside deviation. Penalises bad volatility only, ignoring upside swings. BetaSensitivity to market returns. Beta > 1 amplifies market moves; beta < 1 dampens them. Not the same as total risk. AlphaReturns 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. #### Sources & further reading * → [NSE Indices, Index Methodology (performance measurement framework)](https://www.niftyindices.com/Methodology/Method_NIFTY_Equity_Indices.pdf) * → [SEBI, Performance Benchmarking Guidelines for Investment Funds](https://www.sebi.gov.in/legal/circulars/oct-2020/performance-benchmarking-of-aif_48002.html) * → Sharpe, W.F. (1994). *The Sharpe Ratio*. Journal of Portfolio Management. * → Sortino, F. & van der Meer, R. (1991). *Downside Risk*. Journal of Portfolio Management. * → [Fama-French Data Library, Alpha and factor return calculations](https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html) ©All content on this page is original work by Tanmay Kurtkoti and QC Alpha Technologies Pvt Ltd. Protected under Indian copyright law. tanmay@rupeecase.com ### Quick check, Module 2.3 0 correct · 0 answered ✓ Module complete! Next module unlocked. 🎉 Module 2.3 complete 3 correct. Continue when ready. 🎓 Spread the knowledge This course is completely free. Help someone learn systematic investing. 📋 Suggested LinkedIn post Just completed Module 2.3 of Tanmay Kurtkoti's free systematic investing course on RupeeCase. Learned that the metric I ignored most (max drawdown) is actually the most important one for real-world investing. Free at rupeecase.com/learn Copy text Share on X Post on LinkedIn Copy link Research Lab Qualifier Path 2, Module 3 of 5, complete all 5 + path test to unlock [Explore terminal →](https://invest.rupeecase.com) ✅ 2.1 Rules vs Gut→✅ 2.2 Factors→📍 2.3 Risk Metrics→2.4 Backtesting→2.5 Build a Strategy [← Previous](module-2-2-introduction-to-factors.html) Previous, Module 2.2 Introduction To Factors Calculator ### Sharpe Ratio Calculator Excess return per unit of total volatility. Annualised inputs. Strategy CAGR (%)Risk free rate (%)Annualised volatility (%) Quick check, Module 2.3 ## 3 questions. Get 2 right to mark this module complete. 0 of 3 answered ✓ Module complete. Keep going. Up next, Module 2 How Backtesting Works What a backtest actually simulates, why most backtests are misleading, and how to read one honestly. Overfitting, survivorship bias, and look-ahead bias explained. 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