Risk: What It Actually Means, and Why Volatility Is Not the Same as Losing Money

The most misunderstood word in investing

On March 23, 2020, the S&P 500 hit its COVID pandemic low, down 34% from its February high. Investors who sold that day locked in a 34% loss. Investors who did nothing saw the market recover fully by August 2020, only five months later, and go on to reach new all-time highs [S&P Dow Jones Indices, historical data].

Both groups experienced the same volatility. Only one group experienced actual loss. Understanding the difference between volatility and loss is the foundation of understanding risk, and getting it wrong is one of the most expensive mistakes an investor can make.

This distinction holds for investors with long time horizons and no immediate need for the money. For those with near-term obligations, leverage, or short time horizons, a drawdown can have real consequences even without selling.

What Risk Means in Investing

In everyday language, risk means "the chance something bad happens." In investing, the word is used more precisely, and it means different things depending on context.

Volatility (price fluctuation)

The most commonly quoted measure of risk is standard deviation, which measures how much an investment's returns vary from its average. A stock that returned between 5% and 9% most years has low volatility. One that swung between -20% and +40% has high volatility.

The S&P 500 has a historical annual standard deviation of approximately 15-16% [Ibbotson Associates, SBBI data]. This means that in a typical year, returns can be expected to fall within a range of roughly +25% to -9% about two-thirds of the time. The other third of the time, returns fall outside that range, sometimes dramatically. In practice, extreme moves occur more frequently than a normal distribution would predict. Markets have "fat tails," meaning crashes and surges happen more often than standard deviation alone suggests.

Volatility feels like risk. Watching your portfolio drop 20% in a month triggers the same fight-or-flight response as a physical threat. But volatility is only a permanent problem if you are forced to sell during a downturn or if you choose to sell in a panic.

Permanent loss of capital

This is the risk that actually matters. Permanent loss occurs when your investment goes to zero or near zero and never recovers. Individual stocks can do this: Enron, Lehman Brothers, and Washington Mutual all went to zero. Broadly diversified portfolios have never gone to zero and have always recovered from drawdowns, though recovery can take years.

Inflation risk

The risk that your investments do not keep pace with inflation, meaning you lose purchasing power over time even if your account balance grows. A portfolio returning 2% annually during a period of 3% inflation is losing 1% of real value every year. [See our article on Inflation for more detail.]

Concentration risk

The risk of having too much exposure to a single company, sector, or asset class. A portfolio that is 50% in one stock carries enormous risk regardless of how good that stock is. Corporate fraud, regulatory changes, technological disruption, or plain bad luck can devastate a concentrated position.

Sequence-of-returns risk

The risk that the timing of market downturns aligns with the period when you are withdrawing money (typically early retirement). A 30% market decline when you are contributing is a buying opportunity. The same decline when you are withdrawing can permanently impair your portfolio.

Liquidity risk

The risk that you cannot sell an investment quickly at a fair price when you need to. Publicly traded stocks are highly liquid. Real estate, private equity, and some bonds are not.

Measuring Risk: The Numbers That Matter

Standard Deviation

The most basic risk measure. Higher standard deviation means wider swings in returns. Useful for comparing investments: a fund with 20% standard deviation is more volatile than one with 10%.

Limitation: standard deviation treats upside and downside volatility equally. An investment that occasionally surges upward gets penalized the same as one that occasionally crashes. Most investors do not experience upside volatility as risk.

Maximum Drawdown

The largest peak-to-trough decline in an investment's history. The S&P 500's maximum drawdown was approximately 57% during the 2007-2009 financial crisis [Federal Reserve Economic Data]. This tells you the worst-case historical scenario for an investment, which is more viscerally useful than standard deviation.

The critical follow-up question: how long did recovery take? The S&P 500 recovered from the 2009 low to its previous high by approximately March 2013, about four years. The dot-com crash (2000-2002) took approximately seven years to recover. Black Monday (1987) took approximately two years [S&P Dow Jones Indices, historical data].

Sharpe Ratio

The Sharpe ratio measures return per unit of risk taken. It is calculated as (portfolio return minus risk-free rate) divided by standard deviation. A Sharpe ratio of 1.0 means you earned one unit of excess return for every unit of risk. Higher is better.

General guidelines (these vary by asset class, time period, and market conditions):

• Below 0.5: the returns may not justify the risk
• 0.5 to 1.0: adequate risk-adjusted return
• 1.0 to 2.0: strong risk-adjusted return
• Above 2.0: exceptional (and rare over sustained periods)

These thresholds are general guidelines. What constitutes a "good" ratio varies by asset class, time period, and market conditions.

The long-term Sharpe ratio of the S&P 500 is approximately 0.4-0.5, depending on the time period measured [Ibbotson Associates].

Sortino Ratio

A refinement of the Sharpe ratio that only penalizes downside volatility. It replaces standard deviation with downside deviation (only the returns below a target, usually zero). This addresses the main criticism of the Sharpe ratio: that upside volatility is not risk.

A portfolio with high upside volatility and low downside volatility will have a Sortino ratio higher than its Sharpe ratio, which more accurately reflects the investor's actual experience.

Beta

Beta measures how much an investment moves relative to the overall market. A beta of 1.0 means it moves in line with the market. Above 1.0 means more volatile than the market. Below 1.0 means less volatile.

Technology stocks typically have betas above 1.0 (they swing more than the market). Utility stocks typically have betas below 1.0 (they swing less). Beta does not tell you about the quality of returns, only about the magnitude of movement relative to the market.

The Relationship Between Risk and Return

In theory, higher risk should be compensated by higher expected returns. This is the equity risk premium: stocks are riskier than bonds, so stocks should (and historically have) returned more over long periods.

U.S. large-cap stocks: approximately 10% nominal annual return since 1926 U.S. long-term government bonds: approximately 5.5% nominal annual return U.S. Treasury bills: approximately 3.3% nominal annual return

[Ibbotson Associates, SBBI data through 2023]

The risk-return relationship holds on average and over long periods. It does not hold in any given year or even decade. Stocks have underperformed bonds for stretches of 10+ years. The risk premium is not a guarantee. It is a compensation for tolerating uncertainty.

Common Mistakes

Mistake 1: Treating volatility as loss

A 20% portfolio decline is not a 20% loss unless you sell. For an investor with a 20-year time horizon, a temporary decline is irrelevant to their outcome. The only way it becomes a real loss is if the decline triggers panic selling. This is why understanding your own time horizon and risk tolerance matters: not because volatile investments are bad, but because you need to be able to stay invested through the volatility to capture the returns.

Mistake 2: Assuming past volatility predicts future risk

Standard deviation and historical drawdowns tell you what happened, not what will happen. The 2020 COVID crash was an event that no historical risk model predicted. Markets can and do behave in ways that fall outside historical ranges. Risk metrics are useful tools, not crystal balls.

Mistake 3: Confusing low volatility with safety

Some investments appear low-risk because they have low volatility but carry other forms of risk. Long-term bonds have low price volatility in normal times but are extremely sensitive to interest rate changes (as bond investors discovered painfully in 2022 when rising rates caused the worst bond losses in decades). Money market funds appear risk-free until inflation erodes their real value.

Mistake 4: Ignoring the risk of doing nothing

Not investing carries risk too. Holding cash means losing purchasing power to inflation every year. Delaying investment means missing compounding. The "safe" choice of inaction has a cost that compounds over time, even though it feels like the zero-risk option.

What This Means for You

Risk is not a single number. It is a collection of different threats to your financial goals, and different threats matter to different investors at different stages of life.

A 30-year-old with decades until retirement can afford to ride out volatility and should be more concerned about inflation risk and the risk of underinvesting. A 65-year-old entering retirement should be more concerned about sequence-of-returns risk and concentration risk.

The goal is not to eliminate risk. That is impossible and the attempt usually leads to returns too low to meet financial goals. The goal is to understand which risks you are taking, whether you are being compensated for them, and whether they are appropriate for your time horizon and circumstances.

Key Takeaways

• Volatility is not loss. A portfolio that drops 30% and recovers has experienced volatility, not permanent loss. Loss only occurs if you sell during the decline.
• Risk has many dimensions: volatility, permanent loss, inflation erosion, concentration, sequence of returns, and liquidity. No single number captures all of them.
• Higher risk should mean higher expected return over long periods, but the relationship does not hold in any given timeframe.
• The Sharpe and Sortino ratios measure whether your returns are justified by the risk taken. They are among the most useful tools for evaluating investment quality.
• The risk of doing nothing (inflation erosion, missed compounding) is real and measurable, even though it does not feel like risk.

Try the Sharpe/Sortino Calculator and the Market Dislocations Timeline to see how this applies to your situation.

MyAvere provides tools and education, not investment advice. Always consult a qualified financial professional for personalized guidance.

References

1. Ibbotson Associates (Morningstar). Stocks, Bonds, Bills, and Inflation (SBBI) Yearbook, historical data through 2023. https://www.morningstar.com/products/sbbi
2. S&P Dow Jones Indices. Historical S&P 500 data, drawdowns, and recovery periods. https://www.spglobal.com/spdji/en/indices/equity/sp-500/
3. Federal Reserve Economic Data (FRED). Federal Reserve Bank of St. Louis. https://fred.stlouisfed.org/
4. Sharpe, William F. "The Sharpe Ratio." Journal of Portfolio Management, Fall 1994. https://web.stanford.edu/~wfsharpe/art/sr/sr.htm
5. Sortino, Frank A. and Lee N. Price. "Performance Measurement in a Downside Risk Framework." Journal of Investing, Fall 1994.