Markets
Stock Market Returns Over Different Time Periods (1872-2018)
Putting hard-earned money in the stock market can make some people nervous.
It’s well known that a correction can occur at any time, and the fear of market crashes can make even the most seasoned investors to make questionable decisions.
While it’s true that putting your money on the line is never easy, the historical record of the stock market is virtually irrefutable: U.S. markets have consistently performed over long holding periods, even going back to the 19th century.
Market Performance (1872-2018)
Today’s animation comes to us from The Measure of a Plan, and it shows the performance of the U.S. market over different rolling time horizons using annualized returns.
Note: The animation uses real total returns from the S&P Composite Index from 1872 to 1957, and then the S&P 500 Index from 1957 onwards. Data has been adjusted for reinvestment of dividends as well as inflation.
Using just one-year intervals of time, the market can be a crapshoot. Unfortunately, if you were to just choose a one-year period at random, there would be a significant chance of losing money.
However, as the timeframes get longer – the animation goes to 5-year, 10-year, and then 20-year rolling periods – the frequency of losses rapidly decreases. By the time you get to the 20-year windows, there isn’t a single instance in which the market had a negative return.
Why Time Matters
Over 146 years of data, the chance of seeing negative returns for any given year is about 31%.
That fact in itself is quite alarming, but even more important to note is the distribution of returns in those down years. As you can see in the following chart also from The Measure of a Plan, it’s not uncommon for a down year to skew in the high negatives, just as it did during the crisis of 2008:
According to the data, there have been 10 individual years where the market has lost upwards of 20% – and while those off years are greatly outnumbered by the years with positive returns, it makes it clear that timeframe matters.
Past performance obviously doesn’t guarantee future results, but the historical track record in this case is quite robust.
Long-term investors can see that as long as their time horizon is measured in the decades, you can take the odds of making money in the stock market to the bank.
Markets
3 Reasons Why AI Enthusiasm Differs from the Dot-Com Bubble
Valuations are much lower than they were during the dot-com bubble, but what else sets the current AI enthusiasm apart?
3 Reasons Why AI Enthusiasm Differs from the Dot-Com Bubble
Artificial intelligence, like the internet during the dot-com bubble, is getting a lot of attention these days. In the second quarter of 2023, 177 S&P 500 companies mentioned “AI” during their earnings call, nearly triple the five-year average.
Not only that, companies that mentioned “AI” saw their stock price rise 13.3% from December 2022 to September 2023, compared to 1.5% for those that didn’t.
In this graphic from New York Life Investments, we look at current market conditions to find out if AI could be the next dot-com bubble.
Comparing the Dot-Com Bubble to Today
In the late 1990s, frenzied optimism for internet-related stocks led to a rapid rise in valuations and an eventual market crash in the early 2000s. By the time the market hit rock bottom, the tech-heavy Nasdaq 100 Index had dropped 82% from its peak.
The growing enthusiasm for AI has some concerned that it could be the next dot-com bubble. But here are three reasons that the current environment is different.
1. Valuations Are Lower
Stock valuations are much lower than they were at the peak of the dot-com bubble. For example, the forward price-to-earnings ratio of the Nasdaq 100 is significantly lower than it was in 2000.
| Date | Forward P/E Ratio |
|---|---|
| March 2000 | 60.1x |
| November 2023 | 26.4x |
Lower valuations are an indication that investors are putting more emphasis on earnings and stocks are less at risk of being overvalued.
2. Investors Are More Hesitant
During the dot-com bubble, flows to equity funds increased by 76% from 1999 to 2000.
| Year | Combined ETF and Mutual Fund Flows to Equity Funds |
|---|---|
| 1997 | $231B |
| 1998 | $163B |
| 1999 | $200B |
| 2000 | $352B |
| 2001 | $63B |
| 2002 | $14B |
Source: Investment Company Institute
In contrast, equity fund flows have been negative in 2022 and 2023.
| Year | Combined ETF and Mutual Fund Flows to Equity Funds |
|---|---|
| 2021 | $295B |
| 2022 | -$54B |
| 2023* | -$137B |
Source: Investment Company Institute
*2023 data is from January to September.
Based on fund flows, investors appear hesitant of stocks, rather than overly exuberant.
3. Companies Are More Established
Leading up to the internet bubble, the number of technology IPOs increased substantially.
| Year | Number of Technology IPOs | Median Age |
|---|---|---|
| 1997 | 174 | 8 |
| 1998 | 113 | 7 |
| 1999 | 370 | 4 |
| 2000 | 261 | 5 |
| 2001 | 24 | 9 |
| 2002 | 20 | 9 |
Many of these companies were relatively new and, at the peak of the bubble in 2000, only 14% of them were profitable.
In recent years, there have been far fewer tech IPOs as companies wait for more positive market conditions. And those that have gone public, the median age is much higher.
| Year | Number of Technology IPOs | Median Age |
|---|---|---|
| 2020 | 48 | 12 |
| 2021 | 126 | 12 |
| 2022 | 6 | 15 |
Ultimately, many of the companies benefitting from AI are established companies that are already publicly traded. New, unproven companies are much less common in public markets.
Navigating Modern Tech Amid Dot-Com Bubble Worries
Valuations, equity flows, and the shortage of tech IPOs all suggest that AI isn’t shaping up to be the next dot-com bubble.
However, risk is still present in the market. For instance, only 33% of tech companies that went public in 2022 were profitable. Investors can help manage their risk by keeping a diversified portfolio rather than choosing individual stocks.
Explore more insights from New York Life Investments.
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