The Truth About Investing at All-Time Highs — Transcript
Full transcript
- 0:00The Canadian and US stock markets have
- 0:02reached new all-time highs in 2026. If
- 0:04you're like lots of investors, you might
- 0:06get nervous about all-time highs. It
- 0:08feels like too much good news has to be
- 0:11followed by bad news. This is a
- 0:13cognitive bias called the gambler's
- 0:15fallacy, the belief that the probability
- 0:17of a random event like tomorrow's stock
- 0:19market returns is influenced by
- 0:21yesterday's stock market returns.
- 0:23There's a bit of nuance to this, but
- 0:25generally speaking, stock returns are
- 0:27pretty close to random. Lots of positive
- 0:29stock returns leading to an all-time
- 0:31high in the stock market doesn't really
- 0:33tell us much about future stock market
- 0:35returns. I'm Ben Felix, Chief Investment
- 0:38Officer at PWL Capital, and in this
- 0:39video, I'm going to tell you why
- 0:41all-time highs in the stock market are
- 0:43nothing to fear, at least most of the
- 0:45time.
- 0:50I'm going to start by talking about
- 0:51all-time highs in the level of stock
- 0:53market indices, which I'll also explain.
- 0:56But, stick around for the second half of
- 0:57the video where I'll talk about market
- 0:59valuations, which is a different
- 1:01concept. At the time of recording, the
- 1:03US stock market has a cyclically
- 1:04adjusted price earnings ratio, which is
- 1:07a measure of market valuation, how
- 1:08expensive it is to buy the future
- 1:10earnings of companies, close to the
- 1:12level that preceded the dot-com bust.
- 1:15Let me start by explaining what an
- 1:16all-time high in the stock market even
- 1:18means. Stock market indices like the S&P
- 1:20500 for US large-cap stocks or the S&P
- 1:23TSX Composite for Canadian stocks are
- 1:26groups of stocks weighted by the market
- 1:28value of the companies that are included
- 1:29in the index. They're designed to
- 1:31represent a stock market or a part of a
- 1:33stock market. To track an index's
- 1:35performance over time, each index has a
- 1:38base level. For example, the S&P 500
- 1:40index has a base level of 10 starting in
- 1:431941-43.
- 1:45Each day, the index's return is
- 1:47calculated based on the performance of
- 1:48the stocks in the index, and then a new
- 1:51index level is recorded. Over time, that
- 1:53number gets bigger when returns are
- 1:55positive and smaller when they're
- 1:57negative. Today, the level of the S&P
- 1:59500 is over 7,000. Each time the level
- 2:02of a major index surpasses its previous
- 2:04all-time high, the media tends to report
- 2:06on it. The funny thing though is that
- 2:08the level of the index is kind of
- 2:10meaningless. There are few issues. One
- 2:12is that index levels are typically
- 2:13calculated based on stock prices only,
- 2:16not dividends. They're price only
- 2:19indices rather than total return
- 2:20indices. We would actually see more
- 2:22all-time highs if dividends were
- 2:24included in the index level calculations
- 2:27that are commonly reported on. Academic
- 2:29research on this shows that the price
- 2:30only presentation of index data affects
- 2:33how people think about the stock market.
- 2:34For example, for a given level of
- 2:37returns, newspaper coverage is more
- 2:39negative when dividends are higher
- 2:41because the price drops when a dividend
- 2:44is paid. But economically, it's not a
- 2:46bad thing because you received the
- 2:48dividend. The price went down, but you
- 2:50received the dividend. It's kind of a
- 2:51weird quirk, but it just shows how
- 2:53meaningless the all-time highs that get
- 2:55reported in the media can be. Same with
- 2:57drops in the level of the index. Another
- 2:59issue is inflation. Index levels are
- 3:01nominal figures, so inflation alone,
- 3:04forget about positive stock returns,
- 3:06should see index levels rise over time.
- 3:08And then finally, stocks do have
- 3:10positive expected long-term returns.
- 3:13Indices reaching all-time highs should
- 3:15not be news. It should be expected. That
- 3:17said, it is worth digging into index
- 3:20returns after all-time highs because
- 3:22there are some interesting features.
- 3:23Unlike the convention in common
- 3:25reporting on index price levels, I will
- 3:27use total return indices in my analysis.
- 3:30That means rather than only looking at
- 3:32stock prices, I'm including the
- 3:33reinvestment of dividends in my index
- 3:35level and return calculations. It's
- 3:38honestly kind of crazy to me that this
- 3:39is not the convention. I look at 10
- 3:42developed stock markets and the world
- 3:43stock market from 1970 through May 2026
- 3:47using monthly returns and monthly index
- 3:49levels. At the individual country level,
- 3:51on average, this is the simple average
- 3:53across 10 countries. 20% of months are
- 3:57all-time highs. So, they're not
- 3:58happening every day, but they're not
- 4:00rare, either. 30% of months in the US
- 4:02market have been all-time highs going
- 4:04back to 1970, and 23% of months in
- 4:07Canada. Italy, whose stock market has
- 4:09struggled, has the lowest at 9% of
- 4:11months being all-time highs. One thing
- 4:13we do see in the data is that all-time
- 4:15highs tend to cluster. I mentioned the
- 4:17gambler's fallacy earlier, the belief
- 4:18that the probability of a random event,
- 4:20like tomorrow's stock market returns, is
- 4:22influenced by yesterday's stock market
- 4:24returns. Randomness is a pretty good
- 4:25approximation for stock returns, but
- 4:27there's evidence of a momentum effect,
- 4:29where when the stock market has done
- 4:30well recently, it often continues to do
- 4:33well for a bit. We do see this in the
- 4:35data. All-time highs are more frequently
- 4:37followed by all-time highs than by
- 4:39market drops or crashes. The opposite is
- 4:41also true. Periods of high volatility
- 4:44and lower returns tend to cluster
- 4:46together, so there can be periods,
- 4:47sometimes long periods, where there are
- 4:49no new all-time highs in the stock
- 4:51market. The world index, which is the
- 4:53market capitalization-weighted index of
- 4:55all the countries in my individual
- 4:56country sample, plus a bunch more
- 4:58countries, has had all-time highs in 31%
- 5:01of months. Part of that is
- 5:02diversification. When some countries are
- 5:04down, others are up. Aggregating them
- 5:06all together makes for a smoother ride
- 5:08and more frequent all-time highs. The
- 5:10next thing to understand is that average
- 5:12returns following all-time highs are not
- 5:14a whole lot different from returns in
- 5:15other months. For the US market, returns
- 5:18following all-time highs are actually
- 5:19higher than returns following all other
- 5:21months at the 1, 3, and 5-year horizons.
- 5:24At the 10-year horizon, they're similar,
- 5:26though slightly lower following all-time
- 5:28highs. Canada is a mixed bag at shorter
- 5:30horizons, but even closer than the US
- 5:32market at the 10-year horizon. Other
- 5:34countries are generally similar. One
- 5:36notable feature in the data is that the
- 5:371-year average return following all-time
- 5:39highs is consistently higher than the
- 5:411-year average return following all
- 5:43other months, consistent with the the
- 5:45effect. And at the 10-year horizon,
- 5:48returns following all-time highs are a
- 5:49bit lower than returns following all
- 5:51other months, likely due to high stock
- 5:53valuations when indices reach all-time
- 5:56highs. I'll cover that in more detail in
- 5:57a minute. The World Index has similar
- 5:59returns at all horizons with the
- 6:01exception of the one-year horizon where
- 6:03returns following all-time highs are
- 6:05considerably higher, again consistent
- 6:07with momentum. We've seen that the level
- 6:09of a stock market index doesn't tell us
- 6:11much about its expected future returns,
- 6:12and that investing at all-time highs has
- 6:14historically resulted in positive
- 6:16returns on average. The other issue that
- 6:18often coincides with all-time highs in
- 6:20the level of the stock market index is
- 6:22high stock market valuations. The
- 6:25Shiller cyclically adjusted
- 6:26price-earnings ratio is a common metric
- 6:28for measuring how expensive a stock
- 6:30market is. When you invest in the stock
- 6:32market, you're buying the discounted
- 6:33future cash flows of real businesses.
- 6:35Basically, you're buying the future
- 6:37earnings of companies at a discount
- 6:38today, and your expected return is the
- 6:41discount rate. The way that math works,
- 6:43you have a lower expected return when
- 6:45stock prices are higher relative to
- 6:47earnings, all else equal. That means
- 6:49that when stock valuations are high,
- 6:50expected returns are low, at least in
- 6:52theory. Reality has been a lot messier,
- 6:55but there has been a relationship. I
- 6:56looked at 10 developed markets from 1982
- 6:58through the end of 2024 and sorted the
- 7:00future 10-year stock returns for 10-year
- 7:03periods in the sample on their starting
- 7:05CAPE ratio. So, there are groups of
- 7:0710-year returns sorted on how expensive
- 7:09stocks were relative to earnings at the
- 7:11start of each period. The relationship
- 7:13is clear. Higher starting valuations
- 7:15lead to lower realized returns on
- 7:17average. But, there's a lot of noise
- 7:19when you dig in deeper. Even when
- 7:20starting valuations are high, there can
- 7:22be periods where future returns are
- 7:24still high, even if the average return
- 7:26for all periods with that starting
- 7:27valuation are lower. This wide
- 7:29distribution of outcomes makes timing
- 7:31the market based on valuation ratios
- 7:33really hard to do. It's important to
- 7:34look outside of the US market to see
- 7:36this. There's often a lot of doom and
- 7:37gloom about the US market when the CAPE
- 7:39ratio gets above 40 because historically
- 7:42most periods following that level of
- 7:43market valuation in the US market have
- 7:46been low or negative returns. But
- 7:48including other countries in the sample
- 7:50tells a different story. All-time highs
- 7:52in the stock market are common. Using
- 7:53total return indices, which I would
- 7:55argue are a much better representation
- 7:57of the stock market than the commonly
- 7:58cited price only indices, roughly 30% of
- 8:01months hit all-time highs from 1970
- 8:03through May 2026, and the average
- 8:06returns that follow all-time highs tend
- 8:08to be higher in the short term likely
- 8:10due to momentum and a little lower in
- 8:11the long term likely due to high stock
- 8:13valuations when the index is hitting
- 8:15all-time highs. In either case, both
- 8:17expected and on average realized stock
- 8:20returns remain positive following
- 8:22all-time highs. Stock valuations do have
- 8:24a more obvious relationship with
- 8:25expected future returns, but it's noisy
- 8:28enough to be of limited use in making
- 8:29real financial decisions. Together, this
- 8:32suggests that the best strategy is
- 8:33simply staying in your seat and sticking
- 8:35to your plan even when the level of the
- 8:36market index is hitting new all-time
- 8:38highs. Also, don't forget that when
- 8:40making market timing decisions, you have
- 8:42to be right twice. Once to get out of
- 8:44the right time and then again to get
- 8:45back in at the right time. This is much
- 8:47easier said than done and is more likely
- 8:49to lead to losses than gains. If you
- 8:51want to learn the basics of setting up a
- 8:53long-term investment plan, you can click
- 8:55here.
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