Get 40% Off
⚠ Earnings Alert! Which stocks are poised to surge?
See the stocks on our ProPicks radar. These strategies gained 19.7% year-to-date.
Unlock full list

The S&P 500’s Latest Slide Vs. Rolling 1-Year Returns

Published 10/29/2020, 07:35 AM
Updated 07/09/2023, 06:31 AM

Whenever breathless headlines shout danger and destruction for the stock market, my first reaction is to fire up R to update the perspective on the performance trend. After yesterday’s sharp correction in the S&P 500, which extends the recent downturn and leaves the index at a one-month low, it’s time again for a reality check if only to keep behavioral risk from running amuck.

There are many ways to focus on signal and minimize noise when assessing market activity, but I like to begin with the rolling one-year return. It’s far from the last word on risk and return analytics, but it’s a great place to start because it filters out a lot of the short-term noise while at the same time reflecting the lion’s share of return volatility that moves prices through time. 

The first chart below shows how the S&P’s rolling one-year return stacks up relative to recent history (since 2015). The main takeaway: the current 7.7% one-year gain is middling. Although there’s a wide range of results through time, the current performance is in line with long-term performance.

S&P 500 1 Year Return

Does the perspective change when we look back over the past 60 years? No. Rather, it’s more of the same. The current 7.7% increase over the trailing 252 trading days is more or less what you’d expect to see most of the time.

S&P 500 Rolling 1 Year Return

Another way to visualize one-year returns is by looking at results through the prism of the distribution. As the next chart shows, the current one-year gain is radically normal for results since 1960.

S&P 500 Returns 1 Yr Distribution

For one last bit of perspective, consider rolling one-year returns from the perspective of Z-scores, which measure how far data varies from its mean. Basic statistics tells us that for a normal distribution data points will vary by 2 standard deviations from the mean 95% of the time and variation will fall within 3 standard deviations in 99.7% of the observed results. Stock returns aren’t normally distributed and so this lens is only a starting point for analysis, but it’s useful for some quick, initial perspective. With that in mind, the chart below reaffirms what we saw above: the current one-year performance is a bit of a yawn.

S&P 500 Z Score

The key message is that there’s nothing particularly unusual about the latest one-year change in the S&P. You must forgive the usual suspects for overlooking this reality since it’s quite boring as equity market stories go.  But don’t worry: far more dramatic results are coming, as the chart above remind. The only mystery is with timing. 

Latest comments

thank you that is a very good way of showing me what I been thinking all along
Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks.
Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed.
Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website.
It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website.
Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers.
© 2007-2024 - Fusion Media Limited. All Rights Reserved.