
Luck’ll come and then slip away
You’ve gotta move, bring it back to stay
You just roll with it, baby
— Roll with It, by Steve Winwood
By Noah Solomon
Special to Financial Independence Hub
There is never any shortage of pundits opining on what could make markets rise or fall. Tragically, the greatest cheerleading has tended to occur when markets were at their riskiest and the loudest fearmongering has tended to occur when markets have harboured the greatest opportunity. However, this does not change the fact that anything can happen at any time: markets have and always will continue to periodically present investors with dynamically evolving combinations of risk and reward.
To never suffer losses is an unrealistic objective for those who wish to receive a satisfactory return on their investments. Rather, it is far more efficient (and financially rewarding) to roll with it: which entails adapting to changes to (1) maximize gains when markets offer above-average returns with relatively low risk and (2) to minimize losses when markets offer below average returns with above average risk.
This month, I present a framework for investors to dynamically manage their portfolios to meaningfully participate in rising markets while limiting losses in bear markets.
The Sine Qua Non of Successful Investing
If 100% of your portfolio is sitting in cash, then it is impossible for you to lose money (at least in non-inflation-adjusted terms). However, if markets rise, you will miss the proverbial boat and suffer significant opportunity loss. At the other end of the spectrum, if your portfolio is 100% allocated to equities, while you won’t miss the party if markets advance, you will most certainly suffer substantial losses in the event of a bear market.
The Latin phrase sine qua non means “without which not,” which refers to something that is a necessary or indispensable requirement. The sine qua non of successful long-term investing entails constantly assessing and reassessing the magnitude of potential losses relative to potential gains. When downside risks are elevated and potential gains are muted, you should hold a more conservative portfolio. Conversely, when the risk of loss is eclipsed by potential gains, it is prudent to take more risks with your investments.
Theory, Practice, and Yogi Berra
Baseball legend Yogi Berra stated, “In theory, there is no difference between theory and practice. In practice, there is.”
If you dial up your risk profile when the odds favour doing so and take some chips off the table when the probabilities dictate as such, your long-term performance will inevitably be well above average: so far so good. Unfortunately, accurately assessing and reassessing these probabilities as they ebb and flow over time is no easy feat.
You can’t Predict Behaviour
First the bad news: I don’t believe there is any accurate way to calculate the relative magnitude of upside vs. downside risk over the short term … and by the short term, I mean periods of at least one to two years! One need only to observe markets over the past three decades to appreciate that investors can persist in irrational behaviour for longer periods and with greater voracity than might seem possible.
In hindsight, most investors should have exercised prudence long before tech stocks reached their peak in early 2000 or real estate sung its swan song in 2008” but they didn’t. Similarly, they should have been scooping up bargains en masse either before, during, or not long after markets bottomed in early 2003 and March 2009: but they didn’t.
Excesses and financial aberrations cannot be explained by classic financial theory. Rather, their root lies in human behavioural biases and emotions, which can prove sufficiently powerful to propel asset prices to unrealistically optimistic and pessimistic levels. Greed and fear are impossible to precisely gauge or time and are arguably the largest determinants of prices over the short term. Given these facts, attempting to assess the relative risk of loss vs. opportunity cost over shorter horizons is an exercise in futility.
Valuations are a Proxy for the Margin of Safety
Valuations serve as a proxy for the margin of safety that is embedded in asset prices, and by extension for how vulnerable prices are to delivering subpar or even negative average annualized returns over the next 5-7 years.
Market Responses to Various Environments by Valuation Level

- When valuations stand near the high end of their historical range, even strong economic and earnings growth may fail to result in higher-than-average annualized returns over the next several years, while anything short of such an environment is more likely to result in anemic performance or even losses.
- When valuations stand near the middle of their historical range, prices are most likely to track economic conditions and profit growth.
- When valuations reside near the bottom of their historical range, average or even above-average returns can persist even in the face of subpar economic conditions and/or profit growth, while more favourable or even average conditions are likely to produce strong gains.
Risk and Reward: Probability Distribution by Valuation

As valuations increase, the probability distribution shifts to the left, indicating a lower likelihood of gains and a higher probability of losses. Similarly, a decline in valuations results in a rightward shift in the distribution, portending an increased chance of gains accompanied by a lower risk of losses. At extremes, when markets are priced to perfection, there is almost no amount of good news that can prevent subpar returns over the next five to seven years, and when they are priced for Armageddon, strong returns are likely to ensue over the same timeframe in all but the most cataclysmic circumstances.
There are no Clean Shirts – But not all of them are Dirty
Taking stock of relative valuations across regions, it is abundantly clear that U.S. stock valuations are concerningly high relative to their non-U.S. peers. Without exception, equities in other geographies are anywhere from fairly inexpensive to screamingly so relative to those in the U.S.
Relative Valuation vs. U.S. Equities: Past 20 Years

AI-related companies are by far more prevalent in the U.S. than elsewhere. Relatedly, investor enthusiasm for such stocks has been central in affording the U.S. market a premium multiple. The trillion-dollar question (literally) is whether the current magnitude of this premium is justified.
What is relatively new when it comes to several mega-cap tech stocks is the mind-bogglingly large amounts of capital they are committing to AI-related endeavours, the return on which will not be known until well into the future. In addition, the profit potential of AI faces significant legal and regulatory risks, as recently demonstrated when a California jury found Meta and Alphabet liable in a case concerning social media addiction. As NPR noted, “It represents the first time a jury has found that social media apps should be treated as defective products for being engineered to exploit the developing brains of kids and teenagers.” Although these financial, legal, and regulatory risks have not yet led investors to demand lower multiples, the fact remains that this is a very real possibility going forward.
Putting relative values across regions aside, a scenario where stocks in other regions are inexpensive relative to their U.S. peers but are nonetheless expensive relative to their own historical valuations would hardly be inspiring: a less dirty shirt is still dirty.
Historical Valuation Percentile: Past 20 Years

Broadly speaking, there are no sparklingly clean shirts in the closet: regardless of region, there are no screaming bargains. U.S. equities lie near the top end of their historical valuation range, Canadian and Eurozone stocks exhibit above-average valuations, and emerging market shares stand at average multiples. Only Japanese equities present somewhat of a bargain from a historical perspective.Relatedly, investors should roll with it, weigh their equity exposure in favour of stocks outside of the U.S., and consider increasing their exposure to bonds.
Noah Solomon is Chief Investment Officer for Outcome Metric Asset Management Limited Partnership. From 2008 to 2016, Noah was CEO and CIO of GenFund Management Inc. (formerly Genuity Fund Management), where he designed and managed data-driven, statistically-based equity funds.
Between 2002 and 2008, Noah was a proprietary trader in the equities division of Goldman Sachs, where he deployed the firm’s capital in several quantitatively-driven investment strategies. Prior to joining Goldman, Noah worked at Citibank and Lehman Brothers. Noah holds an MBA from the Wharton School of Business at the University of Pennsylvania, where he graduated as a Palmer Scholar (top 5% of graduating class). He also holds a BA from McGill University (magna cum laude).
Noah is frequently featured in the media including a regular column in the Financial Post and appearances on BNN. This blog originally appeared in the April 2026 Outcome newsletter and is republished on Findependence Hub with permission.

