What Market Volatility Really Is and How to Navigate It

Volatility refers to the magnitude of movement instead of a single direction; AAII founder James Cloonan encouraged investors to focus on “real risk.” 

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  • Explains what volatility is and how it differs from risk
  • Describes how to measure volatility using metrics like standard deviation and the risk index
  • Offers strategies to reduce portfolio volatility through diversification and behavioral tactics

Volatility returned to the stock market this year in a big way.

The S&P 500 index lost 18.9% of its value in a period of just seven weeks between the middle of February and early April 2025. It then needed just five weeks to rebound to breakeven for the year.

Accompanying these large swings have been big daily moves. The S&P 500 experienced five days with a daily change of more than 3%: two up and three down in April and May. The last time the S&P 500 experienced a daily change that big was on November 10, 2022, when it gained 5.5%.

Volatility is regularly perceived in a negative light. Yet, volatility is not the same as direction. Here’s how Merriam-Webster’s Collegiate Dictionary defines it: “The quality or state of being volatile: such as a tendency to change quickly and unpredictably.”

Volatility Isn’t the Risk You Think It Is

A volatile stock, market or other financial instrument is one that incurs a big change in its value over a short period of time. The change in value can either represent a gain (upside volatility) or a loss (downside volatility). The value can also swing back and forth in a significant manner—just like the S&P 500 has done so far in 2025.

Volatility is tied to risk because large downward price moves can result in a shortfall when withdrawals need to be taken. Sudden, sharp drops also unnerve investors. Evolution has made humans averse to losses.

“Losses matter more than gains,” Nobel laureate Daniel Kahneman explained to me at a conference in 2018. “If I’m facing a 50% chance to lose $100 and a 50% chance to gain $150, then the loss of $100 weighs more than the gain of $150.”

Since volatility refers to the magnitude of movement instead of a single direction, AAII founder James Cloonan encouraged investors to focus on “real risk.” “My view of real risk is not short-term volatility but rather the possibility that the assets we expected to have for consumption will not be there when we need them,” wrote Cloonan in his final book, “Investing at Level3” (AAII, 2016).

Making Sense of Volatility Metrics

Most of us know volatility when we see it. A big move in a stock’s price or a 1,000-point move in the Dow Jones industrial average catches our attention.

In its simplest form, volatility is measured as the percentage change in an asset, index or portfolio’s price. A daily change of greater than 2% in the S&P 500 is considered a volatile move because it doesn’t frequently occur.

Standard deviation provides a better view of volatility than simple percentage changes do. Standard deviation indicates the amount by which returns varied around the average return over a period of time. The higher the standard deviation, the greater the volatility.

Standard deviation is calculated as the square root of the average of the deviations from the average, squared.

A downside of standard deviation is that it does not immediately tell you how much more volatile an asset is relative to an underlying benchmark. The risk index does.

The risk index uses a baseline value of 1.00, which denotes average risk, meaning the security or fund experiences the same level of volatility as the benchmark. Values above 1.00 indicate greater volatility than the benchmark. Conversely, values below 1.00 indicate less volatility than the benchmark. In simplified terms, the higher the risk index, the more likely the asset’s price is to experience more significant increases and declines than the underlying benchmark.

The risk index is calculated as:

Standard Deviation of Asset Returns ÷ Standard Deviation of Benchmark Returns

The formula uses a 36-month period of returns. This period is short enough to pick up current trends, but not so short that it picks up large momentary fluctuations.

Those who prefer a forward-looking measure of volatility for the stock market can use the CBOE Volatility Index (VIX). It measures expected stock market volatility over the next 30 days based on S&P 500 options prices.

The VIX is often referred to as a fear gauge since higher options prices signal fear, pushing the VIX up. Historically, spikes in the VIX have aligned with significant market downturns—meaning it reflects fear about high levels of downside volatility continuing.

What Is Normal Volatility and What’s Not?

Volatility varies by investment type, asset class and market. The bond markets experience lower volatility than the stock market. The stock market experiences less volatility than cryptocurrencies like bitcoin. The differences reflect a higher chance of incurring a loss on the amount invested.

Volatility decreases as time horizon expands (Table 1). The S&P 500 has experienced a calendar-year loss approximately once every four years since 1926. The index rarely declined on a 10-year basis—just four times out of the last 90 periods.

Table 1 Risk of Loss Decreases Over Time Short-term volatility gets smoothed out over longer periods. This pattern results in a higher chance of gains for investors who constantly stay invested.

Since the Great Recession of 2007 to 2009, the S&P 500 has most often realized a daily change of less than 1%. The large-cap index averages just 59 days per year with a gain or loss greater than 1%. Days with 2% moves are less common. The 15-year average is just 15 days per year between 2009 and 2024. The median is much lower at just seven days per year.

There is a clustering effect among the days with the most volatility. The days with the biggest upward spikes in the S&P 500 occur soon after the biggest down days for the index, as Figure 1 shows. The big moves have tended to occur during major financial crises or periods with high headline risk such as the April 2, 2025, announcement of reciprocal tariffs being placed by the U.S. on countries and territories across the globe.

Figure 1 S&P 500 Daily Moves of 3% or More Most of the biggest up and down days in the market happen together, or very close to each other. If you flee the market when downside volatility is high, you almost always miss the recovery.

Between these large moves are often long periods of average or below-average levels of stock market volatility. Investors who do not panic in the face of downside volatility have historically been rewarded for their patience.

How to Reduce Volatility in Your Portfolio

The simplest way for an investor to reduce their portfolio’s volatility is to hold different asset classes. Stocks and U.S. Treasury bonds are uncorrelated over long periods of time, meaning they move independently of each other. Adding in other asset classes such as gold can increase diversification and reduce volatility.

There is some trade-off though. Diversifying across asset classes in order to lower your portfolio’s volatility comes at the cost of reducing your potential long-term absolute returns.

Regardless of how much you allocate to a given asset class, it makes sense to diversify. One way to diversify among stocks is by style. Growth stocks tend to experience different returns than value stocks. Similarly, small-cap stocks don’t move in lockstep with large-cap stocks. A second way is to diversify by sector and industry. Information technology stocks and consumer staples stocks tend to work well as diversifying agents relative to each other.

Beyond such approaches, looking at the market and your portfolio less often will reduce the amount of volatility you perceive as occurring. Our emotions are significantly influenced by the most recent information we receive. By looking at your portfolio less, the short-term swings in its value will not be as noticeable. This, in turn, will better enable you to sleep soundly at night. 

Discussion

ROBERT A from NC posted about 1 year ago:

"The true investor welcomes volatility. A wildly fluctuating market means that irrationally low prices will periodically be attached to solid businesses. It is impossible to see how the availability of such prices can be thought of as increasing the hazards for an investor who is totally free to either ignore the market or exploit its folly." - Warren Buffett


BARRY J from TX posted about 1 year ago:

Charles, your explanations of what is and is not “risk” get more nuanced every time the spectre of “risk” rises, and you, similar to Hamlet, feel a need to revisit the resident “ghost” in our clan that is “risk.” #1 Not that it helps, I am adding my perspectives on “risk” to remind me how to keep my sanity when I “risk” a considerable amount of my wealth in highly “risky” financial investments, which in my opinion includes EVERY asset on the market. #2 If you don’t believe markets are inherently “risky,” reread ALL the “standard disclaimers” ALL brokers and CFPs are required to provide to you before they accept your money and send you any written “educational information.” #3 In 1974 or so, Dan Kahneman and Amos Tversky started field testing experiments to measure the ability of people to deal with probabilities when they were making economic choices. #4 They found (and several hundred other “field experiments” verified their research, which is why he won the Nobel Prize in 2002) that in most experiments more than 65% of people make “irrational” choices because they were unskilled at estimating the probabilities of the risk of losses and gains when making “rational” economic choices under uncertainty. #5 His 1979 Prospect Theory has a famous S-curve that shows how risk aversion (a higher “fear” of losing) can change into risk seeking (an increasing “preference” for taking greater risk to “prevent expected losses.”) #6 Explaining statistical terminology does not make us better investors. That same 65% or so is no better at understanding and “using” the logic of probabilities to make better investing decisions. We are “hard-wired” to make “irrational” choices. Kahneman called that “System 1.” #7 Cloonan’s “real risk” concept provides excellent investing advice for “the 65% who do not accept (or are unaware of) the math underlying Modern Portfolio Theory. #8 Harry Markowitz appropriated the statistical concept of “variance” from the “bell curve” distribution definitions of how data “moves” around the overall average of the distribution as the “best available estimate” to measure price movements/ variations. #9 These choices subsequently became universally accepted proxies for measuring “market risk” when William Sharpe provided a coherent asset pricing model in 1964 that caught the attention of professional investors who needed these models to make sense of their profession which up until then was based on eclectic, unscientific theories of various prominent brokerages. #10 I am sure that my screed is as clear as mud. #11 As “Red” told protagonist Andy Dufresne in ‘The Shawshank Redemption' (1994), "Get busy living or get busy dying,” a message never to give up, no matter how adverse your circumstances may be. It is also good advice for navigating any high-risk environment, like financial markets, whether you are aware of all the "real" risks or not.


CHARLES R from IL posted about 1 year ago:

Hi Robert,

Unfortunately, no matter how much we try to convince those with long-term time horizons to view volatility as an opportunity to pick up stocks on the cheap, their emotions will cause them to pull out at the wrong time.

-Charles


ROBERT A from NC posted about 1 year ago:

That is indeed sad, Charles. Letting emotions drive our most important decisions in life is a recipe for disaster. In the stock market, for those of us without an accurate crystal ball, biting the bullet and staying the course is the best option for building long-term wealth. It has worked incredibly well for me.


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