Maximum drawdown is the largest percentage decline from a previous portfolio peak to a subsequent trough during a defined observation period. It reveals the worst historical peak-to-trough loss, rather than the typical fluctuation in returns. Investors use it alongside volatility, recovery time, and portfolio cash-flow data to evaluate downside risk without treating past losses as future limits.
A portfolio can finish a year with a respectable gain and still expose its owner to a severe temporary decline. Conversely, a relatively modest annual loss might develop gradually without a sharp peak-to-trough event. Maximum drawdown (MDD) captures the depth of the worst fall between those points, but does not explain how long the loss lasted or how difficult recovery became.
The most practical questions are: Which peak defines the loss? How far did the portfolio fall? When did it recover, if ever? The answers depend on the valuation frequency, observation window, and whether returns properly account for deposits, withdrawals, dividends, and fees.
What Is Maximum Drawdown in Investing?
Drawdown describes the percentage decline from the highest portfolio value previously reached to its value at a later observation date. A new high resets the reference peak. Maximum drawdown is the deepest such decline identified over the selected historical window.
For example, a portfolio that reaches $120,000 and then falls to $90,000 experiences a 25% drawdown: it lost $30,000 relative to its prior peak. If no other peak-to-trough decline in the measurement period is deeper, its maximum drawdown is 25% in magnitude, or −25% under a signed-return convention.
This differs from simply comparing the first and last values. A portfolio may finish above its starting value while recording a much larger loss along the way. Therefore, an ending-return figure is not enough to describe the investor’s path through market stress.
Peak, Trough, Recovery and Underwater Period
Four dates or states help interpret the metric:
- Peak: the highest prior value of the return-adjusted portfolio series at that point in time.
- Trough: the lowest value reached after that peak, before the relevant recovery or the end of the measurement window.
- Recovery: the first later observation at or above the previous peak, when a recovery occurs.
- Underwater period: the time the series spends below a preceding high, including any decline and the climb back.
An investor can experience a relatively shallow drawdown lasting several years, or a steep decline followed by a quick rebound. Both cases need different risk-management responses even when their eventual holding-period return is similar.
Maximum Drawdown Formula
The drawdown at observation t compares the current portfolio value with the largest value previously observed, including the current date:
Running peak(t) = max[V(0), V(1), …, V(t)]
Drawdown(t) = V(t) / Running peak(t) − 1
Maximum drawdown = min[Drawdown(t)] across the period.
Here, V(t) should be a consistent, flow-adjusted performance index rather than raw account balance when investors add or withdraw capital. With this convention, zero means the portfolio has reached or matched its running high, and negative values measure a decline. Some reports display the absolute magnitude, showing 25% instead of −25%.
This running-peak formulation appears in the appendix to **CFA Institute’s 2025 report, *The Performance of the 60/40 Portfolio: A Historical Perspective***. Morningstar’s custom-calculations documentation also specifies maximum drawdown as the largest observed peak-to-trough decline and distinguishes peak, valley, recovery date, and duration statistics.
Why a Global Maximum Minus a Global Minimum Can Be Wrong
The order of observations matters. Suppose a portfolio is worth $80 at the start of a dataset, later rises to $120, and ends at $110. Subtracting the global minimum of $80 from the global maximum of $120 would suggest a 33.3% drop. Yet the $80 occurred before the $120 peak, so it is not a drawdown from that peak.
Instead, the correct procedure compares each value with the highest value available up to that date, never with a future high. With the three observations $80, $120, and $110, maximum drawdown is only 8.33%, from $120 to $110. This chronological condition is essential in spreadsheets, software, and historical reports.
Maximum Drawdown Calculation: A Step-by-Step Portfolio Example
Consider a fictional portfolio indexed to a starting value of 100. The following 11 observations are hypothetical and use a consistent total-return series, without external contributions or withdrawals. Each row compares the portfolio value with its running high.
| Observation | Portfolio index | Running peak | Drawdown |
|---|---|---|---|
| 0 | 100 | 100 | 0.00% |
| 1 | 108 | 108 | 0.00% |
| 2 | 104 | 108 | −3.70% |
| 3 | 120 | 120 | 0.00% |
| 4 | 105 | 120 | −12.50% |
| 5 | 90 | 120 | −25.00% |
| 6 | 96 | 120 | −20.00% |
| 7 | 115 | 120 | −4.17% |
| 8 | 121 | 121 | 0.00% |
| 9 | 109 | 121 | −9.92% |
| 10 | 125 | 125 | 0.00% |
Step 1: Track the high. The running peak climbs from 100 to 108 and then 120. It stays at 120 while the portfolio loses value.
Step 2: Calculate each decline. At observation 5, the index equals 90, versus the previous high of 120. Therefore, 90 / 120 − 1 equals −25%.
Step 3: Identify the worst decline. No other row falls further below its own running peak. Accordingly, the sample’s maximum drawdown is −25%.
Step 4: Check recovery separately. The portfolio first exceeds 120 at observation 8, reaching 121. It took five observation intervals from the peak at observation 3 to recover; three elapsed from the trough at observation 5 to recovery. Those are different duration measures.
Although the index finishes at 125, its total return from the initial value is +25%. That positive outcome does not erase the 25% maximum historical decline. Both statements can be true simultaneously.
How Much Must a Portfolio Gain to Recover From a Loss?
One of the most useful applications of drawdown analysis is estimating the required recovery. A loss and the percentage gain required to reverse it are not symmetrical because the recovery begins from a smaller capital base.
If a portfolio declines by fraction d, the recovery return needed to reach its former peak is:
Required gain = d / (1 − d)
For example, after a 25% decline, the portfolio has 75% of its former value. Returning to the old high requires 0.25 / 0.75 = 33.33%, not 25%.
| Drawdown from peak | Value left from $100 | Gain needed to regain $100 |
|---|---|---|
| 10% | $90 | 11.11% |
| 20% | $80 | 25.00% |
| 25% | $75 | 33.33% |
| 30% | $70 | 42.86% |
| 40% | $60 | 66.67% |
| 50% | $50 | 100.00% |
| 60% | $40 | 150.00% |
The arithmetic explains why a deep decline can jeopardize an investor’s planned withdrawal date, even if long-term average returns look attractive. However, these required-gain figures do not predict how quickly any security or portfolio will recover. A previous high might not return at all.
Recovery Time Is a Separate Risk
Recovery length depends on the subsequent sequence of returns, not merely the size of the original decline. A 20% fall followed by a rapid 25% rise restores the peak, while a portfolio that compounds modest gains for years may remain below the same high much longer.
For investors funding planned expenses, time below a prior peak can be more consequential than a single worst-day number. Therefore, useful risk reporting includes the peak date, trough date, current distance from high, and first recovery date if one exists.
Same Final Return, Very Different Investor Experience
Maximum drawdown provides information that an ordinary holding-period return cannot. Consider two fictional investment paths with an identical starting value of 100 and a final value of 120.
| Observation | Portfolio A | Portfolio B |
|---|---|---|
| Start | 100 | 100 |
| 1 | 108 | 120 |
| 2 | 103 | 90 |
| 3 | 112 | 105 |
| End | 120 | 120 |
| Holding-period return | +20% | +20% |
| Maximum drawdown | −4.63% | −25.00% |
Portfolio A experiences a small peak-to-trough loss from 108 to 103. Portfolio B climbs quickly to 120, then loses a quarter of its peak value before returning to 120. Although their total returns match, their drawdown histories are substantially different.
This comparison highlights the distinction between destination and path. A final result alone cannot tell investors how much temporary damage they would have needed to tolerate or whether they might have sold during a severe decline.
However, it would be misleading to claim Portfolio A is universally superior. The comparison excludes other differences, such as liquidity, expected return, investment restrictions, taxes, and trading costs.
What Primary Research Reveals About Historical Drawdowns
Real index publications show how large the gap between ordinary return statistics and worst observed declines can become. For example, MSCI’s ACWI Investable Market Index (IMI) profile, using data published as of 30 September 2026, reports a historical maximum drawdown of 58.59%, with a peak-to-trough window extending from 31 October 2007 to 9 March 2009. MSCI reports 57.82% for the MSCI World Index over the same window.
These are historical index statistics, not losses measured on every investor’s account, and not estimates of future maximum losses. Currency, total-return assumptions, observation frequency, fund expenses, and the investor’s actual holdings can alter real-world outcomes. Nevertheless, the magnitudes demonstrate why a mild-looking long-term performance chart may hide a very difficult past investment experience.
A separate CFA Institute study published in February 2025 analyzed 122 years of stock and bond returns across international markets. Its researchers found that the historical benefits of 60/40 diversification differed by market and time period. Notably, the report discussed how the simultaneous weakness of stocks and bonds in 2022 challenged assumptions that bond holdings would always offset equity losses.
The lesson is narrower than “diversification does not work.” Diversification may reduce risk over some histories, but correlations and drawdowns change. Accordingly, a portfolio’s historic worst decline is informative evidence, not a permanent safety boundary.
Maximum Drawdown vs Volatility, Tracking Error and Value at Risk
Risk metrics differ because they summarize different aspects of a return distribution or investment path. The strongest analysis does not choose one statistic and treat it as complete.
| Risk measure | Main question answered | Important limitation |
|---|---|---|
| Maximum drawdown | What was the deepest observed loss from a previous high? | Depends strongly on start/end dates and observation frequency |
| Volatility | How widely did returns fluctuate around their average? | Penalizes gains and losses; ignores the exact order of returns |
| Tracking error | How variable were returns relative to a benchmark? | Can be low even when both fund and benchmark suffer heavy losses |
| Value at Risk (VaR) | What loss threshold is associated with a specified horizon and confidence level under a model? | Does not by itself quantify all losses beyond that threshold |
| Expected shortfall | What is the average loss beyond a modeled tail threshold? | Sensitive to model assumptions and historical sample |
Consider a fund and its benchmark that both experience a 30% decline over the same period. The fund could show very low tracking error if their monthly returns closely match, yet both still suffer a large drawdown. Similarly, high volatility does not necessarily mean the portfolio suffered the worst chronological peak-to-trough loss.
Therefore, investors comparing investment products should not confuse relative consistency with capital protection. Use maximum drawdown for depth of historical losses and other measures for their respective questions.
Cash Flows Can Distort Account-Level Drawdown Measurements
A common calculation mistake occurs when an investor monitors the raw account balance despite adding or withdrawing substantial cash. An account might rise from $80,000 to $120,000 only because the owner deposited $40,000. Treating the new balance as an investment peak can manufacture or obscure a drawdown later.
For a performance-based maximum drawdown, calculate a cash-flow-adjusted total-return index or use unitized portfolio values. This isolates the portfolio’s investment experience from deposits and withdrawals, assuming accurate valuations and a consistent methodology.
The difference is especially relevant for accounts with irregular contributions. Our guide to time-weighted returns explains how TWR neutralizes external flows, while money-weighted return captures the impact of their timing on the investor’s actual outcome.
Dividends, Currency and Fees Matter Too
A price-only chart can show a deeper or longer drawdown than a reinvested-dividend total-return series. In addition, currency conversion can alter both peak and trough for an investor who measures wealth in a different currency.
Meanwhile, fund NAV after recurring expenses may track differently from a gross index series. Before comparing two maximum drawdown figures, check whether both use the same reporting currency, fee convention, total-return treatment, and observation dates.
Daily, Monthly and Annual Data Do Not Reveal the Same Maximum
Suppose a market closes at 100 in January, briefly falls to 70 on a trading day in February, and ends February at 98. A month-end-only series might show a 2% decline, whereas daily closing observations capture a 30% drop from the prior high.
That gap is not necessarily a computational error. It arises because the sampling frequency determines which intermediate peaks and troughs the analyst can observe. Intraday prices can reveal still larger movements, although tradable execution prices may differ from theoretical marks.
Longer observation windows also provide more opportunities to encounter large declines. Consequently, a five-year maximum drawdown should not be ranked mechanically against a one-year statistic without noting the different horizons.
For illiquid portfolios, stale appraisal values can make drawdowns look unusually mild. This is a measurement issue, not proof that the assets were immune to market stress.
How to Calculate Maximum Drawdown in Excel or Google Sheets
A simple spreadsheet can generate a transparent audit trail. Put a consistent value or cumulative-return index in column B, starting in cell B2. Then create a running peak in column C and the corresponding drawdown in column D.
- Running peak: enter
=MAX($B$2:B2)in C2 and copy downward. - Drawdown: enter
=B2/C2-1in D2 and copy downward. - Worst value: enter
=MIN(D2:D100)for a series ending on row 100. - Display: format column D and the summary cell as percentages.
The formulas assume positive portfolio index values. If the input is a return series rather than an index, first construct a cumulative performance index by multiplying successive factors (1 + return); never sum geometric investment returns as though they were account values.
For meaningful reporting, record the dates associated with the maximum peak and trough. Moreover, determine whether the series later regains the previous peak. If it does not, describe recovery as incomplete rather than assigning an invented recovery date.
Does Controlling Maximum Drawdown Improve Returns?
Reducing exposure after losses can sometimes limit further drawdown, but it can also reduce participation in rebounds. Investors often call these rules drawdown controls, stop-loss strategies, or risk limits, although their mechanisms differ.
A 2020 MSCI research exercise evaluating equity-risk limits during the COVID-era market shock documented a key trade-off. Stricter limits generally reduced the immediate decline, yet several constrained strategies subsequently lagged the equity market when prices recovered. The observed results depended on the exact trigger and measurement date.
This illustrates why smaller drawdown is not automatically equivalent to better long-term performance. An investor who exits during a decline still needs a reinvestment rule. Missed upside, transaction costs, taxes, and false triggers can offset some or all of the protection.
For individual positions, stop-limit orders can help specify a minimum acceptable execution price after a trigger. However, they do not guarantee execution: if the market gaps below the limit, the order may remain unfilled. Thus, a stop-limit instruction cannot promise a particular maximum drawdown.
Risk Controls Should Address the Actual Constraint
A portfolio built to fund a near-term liability may need meaningful liquidity, lower concentration, and a manageable downside scenario. A long-term portfolio may tolerate more fluctuation, although the owner still needs the capacity to remain invested through difficult periods.
Risk budgets, asset allocation, and diversification can influence possible drawdowns, but none sets a guaranteed ceiling in real markets. Investors should test multiple adverse scenarios and assess how their behavior might change under stress.
Drawdown, Tax Decisions and Portfolio Rebalancing
Losses may prompt tax-aware transactions in jurisdictions where eligible capital losses can offset taxable gains. Nonetheless, a falling portfolio value does not automatically generate a deductible tax loss. Tax treatment depends on the investor’s location, account, tax lot, and realized transactions.
Our article on tax loss harvesting explains these distinctions and the U.S. wash-sale framework. The key practical point here is that a tax trade can also alter a portfolio’s risk exposure or cash position, changing the future drawdown path.
Rebalancing presents another choice. Buying a weakened asset restores target weights but might increase exposure before further losses. Selling it reduces exposure but may lock in adverse pricing. Therefore, rebalancing needs a consistent investment policy rather than an improvised response to a new low.
Common Maximum Drawdown Mistakes
Comparing the Ending Balance With the Starting Balance
An account can finish ahead while having experienced a severe interim decline. Calculate each period’s drop from its running high, not just the total gain or loss over the selected window.
Ignoring Chronological Order
The lowest value in a dataset may precede its highest value. A valid drawdown requires a previous peak followed by a later trough. Always use a running maximum.
Assuming a 30% Loss Requires a 30% Recovery
After a 30% fall, 70% of the former value remains. Regaining the peak requires a 42.86% increase from the trough, excluding withdrawals, new deposits and fees.
Comparing Monthly Data With Daily Data
A month-end series can miss sharp temporary losses. Compare maximum drawdowns only after aligning return frequency and time horizon, or explain why the measurement conventions differ.
Treating Historical Maximum as a Future Limit
The worst observed decline is backward-looking. Future market conditions can create deeper losses, especially when leverage, credit exposures or market structure change.
Confusing a Short Recovery With a Small Loss
A large decline that recovers quickly can still trigger margin calls, forced sales, and emotional decisions. Recovery duration and drawdown depth should be reported separately.
A Practical Checklist Before Using Drawdown as a Decision Metric
- Define the investment series. Use a properly adjusted portfolio return index, not a raw cash balance with deposits.
- Choose the observation window. State the starting and ending dates and whether the series covers a full market cycle.
- Specify the data frequency. Explain whether daily, weekly, monthly, or less frequent valuations are available.
- Compute chronological running highs. Identify each subsequent drawdown and retain the deepest one.
- Report peak and trough dates. A single percentage does not show when the loss occurred.
- Check recovery status. Note whether and when the former high returned, alongside time spent underwater.
- Add complementary metrics. Review volatility, benchmark-relative measures, liquidity needs, and credit risk.
- Review assumptions. Confirm fees, dividend reinvestment, currency, pricing and rebalancing conventions.
The result should support a more informed risk discussion rather than become a simplistic pass-or-fail score. Above all, the acceptable size of a temporary portfolio loss depends on the investor’s objectives, resources, and planned use of capital.
Frequently Asked Questions
What Is Maximum Drawdown in Simple Terms?
Maximum drawdown is the greatest observed percentage loss from an earlier portfolio high to a later low within a stated period. It measures the worst historical decline along the investment path, not the total return between the starting and ending dates. It cannot predict the maximum possible future loss.
How Do You Calculate Maximum Drawdown?
Construct a consistent portfolio value or return index, track the highest previous value at every observation, and divide the current value by that running peak before subtracting one. The most negative result is maximum drawdown. A value of −25% represents a 25% historical decline from a preceding high.
Is a Lower Maximum Drawdown Always Better?
A smaller historical decline may suit investors with limited loss tolerance, but it is not a complete performance assessment. Lower drawdown can accompany lower returns, higher costs, or different risks. Compare portfolios over equivalent periods with similar valuation conventions, liquidity, objectives, and return measures.
What Does a 20% Maximum Drawdown Mean?
A 20% maximum drawdown means the portfolio’s largest observed peak-to-trough fall was one-fifth of its prior high. For instance, a $100,000 peak followed by an $80,000 trough gives −20%. Returning from $80,000 to $100,000 requires a 25% gain, before fees and external flows.
Can a Portfolio Have Positive Returns and a Large Drawdown?
Yes. A portfolio can decline sharply after a peak and subsequently regain its value before the measurement period ends. The final total return describes the ending outcome, while maximum drawdown describes the worst interim decline. Both can be correct and important for assessing investment experience.
How Is Maximum Drawdown Different From a Stop-Loss?
Maximum drawdown measures a past peak-to-trough loss across a specified series. A stop-loss is a trading instruction or rule intended to respond to prices at a trigger. Neither a stop-loss instruction nor a historical drawdown statistic guarantees the size of a future loss, especially during price gaps or thin trading.
Final Perspective
Maximum drawdown answers an important investment question that average return and volatility cannot fully address: how far did wealth fall below a previous high before the recovery? Its mathematical simplicity is useful, but the calculation must preserve chronological order and use a consistent performance series.
For practical evaluation, combine the worst observed percentage with the peak and trough dates, time underwater, recovery requirement, and other sources of portfolio risk. A stronger investment decision does not merely seek the smallest historic decline; it considers whether the investor could sustain the drawdown that a strategy may experience in an uncertain future.
This article is for general educational purposes and does not provide personalized investment or financial advice.