What Is Maximum Drawdown? How to Measure the Real Risk of an Investment

Educational research only — not investment advice.

Maximum drawdown measures the largest decline an investment experiences from a previous peak to a later low.

It answers a very practical question:

How bad did the investment get before recovering?

That makes drawdown one of the most useful ways to understand investment risk.

What Is Maximum Drawdown?

Imagine a stock rises from:

$100 → $120

Then falls to:

$90

The decline from the $120 peak to the $90 low is:

25%

That is the drawdown.

If this is the largest peak-to-trough decline during the period being studied, then the maximum drawdown is 25%.

Why Drawdown Matters

Two investments can produce the same final return but feel completely different along the way.

Imagine both eventually gain 20%.

But:

Investment A falls only 8% at its worst point.

Investment B falls 40% before recovering.

The final return is the same.

The risk experience is not.

That is why maximum drawdown can reveal information that average return misses.

Large Losses Are Harder to Recover From

Losses become increasingly difficult to recover as they grow.

If an investment falls:

10%, it needs about 11% to recover.

If it falls:

25%, it needs about 33%.

If it falls:

50%, it needs 100%.

This is why avoiding extremely deep losses can matter as much as finding strong returns.

Drawdown Is Different From Volatility

Volatility measures how much prices move around.

Drawdown measures how far an investment falls from its previous peak.

A stock can be volatile without experiencing a catastrophic drawdown.

Another stock might appear calm for months and then suffer one very large decline.

So investors should not treat volatility and drawdown as the same risk measure.

Historical vs Simulated Drawdown

Maximum drawdown can be measured in two ways.

Historical drawdown looks at what actually happened in the past.

Simulated drawdown estimates how severe future declines might become across many possible market paths.

Monte Carlo simulations can generate hundreds or thousands of outcomes and measure the drawdown inside each one.

That gives investors a broader view of potential downside risk.

A High Return Can Hide High Drawdown

Suppose one strategy earns 15% per year but regularly experiences 40% drawdowns.

Another earns 11% but rarely falls more than 15%.

The first has the higher return.

But some investors may prefer the second because the downside is easier to tolerate.

This is why return should be considered alongside:

drawdown + volatility + probability of loss + tail risk

What Is a “Good” Maximum Drawdown?

There is no universal number.

A reasonable drawdown depends on:

  • the asset
  • the time horizon
  • the strategy
  • the investor’s risk tolerance

A 20% drawdown may be normal for one strategy and extreme for another.

The important point is comparison.

Ask:

How much downside was required to achieve the return?

Track Drawdown With TradingSimuLab

TradingSimuLab’s Risk Simulation tools help users study maximum drawdown, downside risk, probability of gain and simulated future price paths.

This helps users evaluate not only how much an investment might return, but also how severe the journey could become.

For more quantitative market research and educational trading tools, sign up to TradingSimuLab.

TradingSimuLab is for educational and research purposes only and does not provide investment advice.

Continue exploring TradingSimuLab.

  • Why S-REITs Are Raising Billions in 2026—and What Dilution Means for Investors

    Singapore REITs are raising billions of dollars again. By September 10, S-REITs had raised at least S$4.5 billion through equity fundraising in 2026, exceeding the amount raised during the same period last year. The money is largely being used to buy new properties and expand portfolios. But issuing new units creates an important question: Does…

  • S-REIT Yield Spread Explained: Why a 6% Yield Is Not Automatically Cheap

    Singapore REITs currently offer attractive headline income. But a high yield does not automatically mean a REIT is cheap. S-REITs yield about 6.2% on average, while Singapore’s 10-year government bond yield is around 2.36%. That leaves a sizeable income premium for taking REIT risk. The important question is: Is that extra yield compensation for an…

  • DBS vs OCBC vs UOB: Why Singapore Banks React Differently to Interest Rates

    DBS, OCBC and UOB are all major Singapore banks—but interest-rate changes do not affect them in exactly the same way. Higher rates can improve lending margins. Lower rates can squeeze them. But today’s banks also earn heavily from: That means the real question is: Which bank is most dependent on interest income—and which has the…

  • Singapore’s AI Chip Supply Chain: The Stocks Behind the Semiconductor Boom

    Singapore does not have its own Nvidia or TSMC—but it occupies several increasingly valuable parts of the global AI chip supply chain. The city-state specializes in areas such as: Those activities become more important as AI chips grow more complex and expensive. Singapore secured about S$30 billion of semiconductor investment between 2022 and 2025, and…

  • Falling AI Token Costs: Why Cheaper AI Could Drive Another Wave of Chip Demand

    AI is becoming dramatically cheaper to use. That could create more—not less—demand for chips. Silicon Data’s benchmark for the cost of one million AI tokens stood at about $0.97 on August 31, down from roughly $2.07 in May. That is a decline of more than 50% in only a few months. The important question is:…

  • Singapore STI Watch: Why Banks, Shipbuilders and Semiconductor Stocks Are Driving the Market

    Singapore stocks have had a powerful 2026—but the strength is not evenly spread across the market. The Straits Times Index closed at 5,718.02 on September 14, gaining 0.4% for the session. Yangzijiang Shipbuilding led the blue-chip gainers, while DBS, OCBC and UOB all finished higher. Yet across the wider market, 312 stocks fell versus 235…

  • Singapore Data Center REITs Bet on Japan: Is Power Scarcity Creating a New Growth Trade?

    Singapore-listed data center REITs are increasing their exposure to Japan as AI and cloud demand collide with a shortage of power-ready facilities. Keppel DC REIT recently proposed buying two Tokyo data centers, while Digital Core REIT increased its stake in an Osaka facility. The opportunity looks attractive. But the same power shortage supporting asset values…

  • SGX Crypto Perpetual Futures: What Singapore’s Institutional Crypto Push Means for Bitcoin and Ether

    Singapore Exchange is pushing deeper into institutional crypto trading. SGX already offers Bitcoin and Ethereum perpetual futures, launched in November 2025. Now it is preparing to offer those contracts to U.S. institutional investors, after filing with the Commodity Futures Trading Commission in August 2026. That matters because perpetual futures have traditionally been dominated by crypto-native…

  • S-REITs vs Singapore Banks: Where Is the Better Yield in 2026?

    Singapore income investors have an interesting choice in 2026: S-REITs or bank stocks? S-REITs currently yield about 6.2% on average, compared with roughly 4% for Singapore’s three major banks—DBS, OCBC and UOB. That makes REITs look more attractive on headline yield. But yield alone does not tell you which investment offers the better risk-reward. Educational…