Canvas Q1 Commentary

By OSAM Research Team
April 2022

Key Points:

  • Equities gave back some of their 2021 calendar year gains as the FOMC’s hawkish pivot, the Russia-Ukraine conflict, and China’s zero-COVID lockdowns all weighed on markets.
  • Value and Shareholder Yield outperformed across all universes. Momentum was generally flat versus the broad market. Quality was notably important in the equity market drawdown through mid-March.
  • Lower market cap stocks generally underperformed on the quarter and year across universes, which was a headwind for factor allocations relative to cap-weighted indexes.
  • Stocks ranking highly on our Stability theme—stability in sales, earnings, share issuance, and price volatility—generally outperformed for the quarter and particularly during the market drawdown period.
  • Investors’ desire for consistently appreciating dividends drove strong outperformance among dividend growth stocks across the universes.
  • In our Outlook section, we touch on three themes that we believe will be prominent in coming quarters: factor performance in historical inflation regimes, value’s “cheapness”, and potential shifts in stock-bond correlations. Though the market has priced in much of global central bank tightening, we expect monetary and macro developments will continue to generate higher than normal market volatility.

Q1 Developments

Global equity markets endured a challenging first quarter. A strong rally in late March helped recoup some of the market’s 2021 gains, but most broad market indexes finished negative for the quarter. Of the major indices, large cap U.S. stocks held up best. Developed and Emerging markets were highly correlated and lagged U.S. large cap. Value outperformed growth on average across market capitalizations. The Russell 1000® Value and Russell 2000® Value were notable outperformers versus their core and growth counterparts. Energy was a key contributor to value’s outperformance as it was one of only two positive sectors on the quarter (the other being Utilities)—no surprise given that oil had more than tripled from $40/barrel in April 2020 to $130 on March 7th. Bonds offered little solace in the equity swoon given a continuation of the bond selloff following the Federal Open Market Committee’s (FOMC) hawkish pivot in November 2021. The Barclays Aggregate bond index finished down -5.93%.

The risks and uncertainties stemming from Russia’s invasion of Ukraine underscored how interconnected the global economy has become. The U.S. and E.U. have jointly issued unprecedented sanctions against Russia—including bans on commodities, Russia’s access to the SWIFT banking network, and more. The conflict and subsequent sanctions have prompted tough conversations in the West on energy independence, secure access to commodities, and supply chains. These developments paired with China’s zero-covid policy and widespread lockdowns throughout the quarter have further exacerbated COVID supply chains issues.

Making matters worse, the issues outlined above are all happening within the backdrop of central banks’ more hawkish stance as compared to 2021’s focus on sustained employment and accommodative monetary policy. The FOMC has stated they can no longer ignore the trend from ‘transitory’ to ‘sustained’ inflation even though fiscal stimulus has generally run its course and unemployment continues to improve.

The FOMC faces tough policy choices ahead, as beating high levels of inflation has historically required raising the Fed Funds to exceed year-over-year CPI—a scary prospect currently. Yield curves inverted across a large cross-section of treasury maturities as shorter-term bond yields continue rising. 30-Year mortgages passed 5.0% for the first time since 2011. The change in the famed “dot plots” (FOMC member projections for the path of interest rates) between December and March is emblematic of the hawkish pivot that has occurred. Projections for the December 2022 and 2023 year end rate shifted up a full 1% each.

While the FOMC faces a tough task given the U.S. dollars reserve currency status, the European Central Bank (ECB) and Bank of Japan (BOJ) have even more difficult tasks due to their proximity to geopolitical events and their endemic challenges generating real economic growth.

While we do not pretend to be macro investors, we have analyzed market and factor dynamics in economic regimes with varying inflation levels, across various historical monetary and fiscal policies. Our Outlook section provides historical context for how factors and markets perform in environments exhibiting characteristics like today. Before addressing the historical precedent, let’s review the three chapters in the market’s post-COVID vaccine announcement narrative.

Factor Trends

Last quarter, we incorporated a new machine learning tool to evaluate factor drivers in performance regimes. We distilled the post-COVID vaccine environment into three regimes—an early reflationary period that gave way to a period of uncertainty, which was followed by a reaction to the FOMC’s November 2021 hawkish pivot.

At the outset of each regime, we used a classification algorithm to segment the market into four groups based only on their fundamental characteristics. We then tracked performance of the four groups to measure the spread between the highest and lowest performing. Below are the three periods, the core macro driver that influenced the market, the characteristics of top and bottom performing groups, and the performance spread between the two:

Across the periods, the most important determinants of performance were Value and Shareholder Yield. Portfolios oriented towards cheap names with strong Shareholder Yield did quite well throughout. Momentum has generally struggled, which is not a surprise given the rotations that have occurred. Momentum tends to struggle in such environments. Performance dispersion was high during the Reflation regime and moderated as monetary policy response came front and center.

Of note is that quality was more important in the latter regime than at any point in the last few years. Under the hood of the market is a more defensive posture as the mega cap growth/tech leadership of the last few years has faded. We also observed that a basket of “recession” stocks which has done quite well—outperforming the Russell 1000 Index by 6.6% as of quarter end.1


Allocating assets has never been harder in our opinion. Asset valuations remain high, monetary and fiscal policy are taking a step back, geopolitics are on overdrive, and corporate results face some challenging comps when compared to 2021. One can’t help but think we are at the doorstep of a regime change given the recent spikes in inflation. Markets do tend to climb the wall of worry adeptly so we will see if pessimism is warranted.

With this context, we want to highlight three key themes for investors moving forward:

  1. Inflation will likely run hot for a while. While the structural elements don’t currently exist for a prolonged 1970’s style stagflation, inflation will likely remain elevated for a few years.
  2. Fundamentals will matter again. In high inflation environments, avoiding poor quality and seeking discounted valuation is generally rewarded. This is notable, given the near-historic valuation spread between value and growth stocks.
  3. Bonds will behave differently moving forward: We generally expect bonds to rise when stocks fall. Our research suggests that relationship may not persist.

Great Inflation Round 2?

Persistently high inflation figures have prompted many investors to question whether we are entering another period of prolonged stagflation. Nobody knows for certain, but we tend to lean against the stagflation case. In The Great Inflation, Factors, and Stock Returns, we highlighted four key elements that drove structural inflation in the 1970’s:

  1. Monetary Policy was extremely loose – The prospect of battling inflation at the cost of higher unemployment was untenable, so inflation was allowed to run rampant.
  2. Labor had strong bargaining power – 30% of the U.S. workforce was unionized and had substantial collective bargaining power to enact wage increases.
  3. High taxes perpetuated a wage-price spiral – The marginal tax rate for the average worker increased 57% during the Great Inflation while corporate taxes persisted at 48%.
  4. Energy policy left the U.S. susceptible to shocks – The U.S. imported 23% of energy consumption in 1979 versus -4% today.

Among these elements, only monetary policy’s influence is comparable today—quantitative easing has been the de facto policy tool since the GFC. Although explicit quantitative easing was not used during The Great Inflation, the growth of monetary aggregates and banking reserves – which is inherently inflationary – was left unchecked until Paul Volker arrived in 1979.

It should be noted that The Great Inflation occurred before the financialization of America’s economy during the Great Moderation (1983-2007). Thus, we think that dovish monetary policy post-GFC has driven asset inflation, rather than “goods” inflation like in the 1970’s. This viewpoint is supported by trends in the velocity of money, which is the ratio of GDP to money supply. The charts below compare money velocity during the Great Inflation and post-GFC period. The velocity of money increased during the Great Inflation, but trended downward post-GFC. This suggests that monetary and fiscal stimulus has been funneled into asset markets, not directly into the “real” economy.

If the current velocity of money begins trending upwards, it may indicate that stimulus is starting to flow through the “real” economy, which would increase the risk of prolonged structural inflation.

Fundamentals in Inflationary Environments

High Inflation Factor Performance

Due to mangled supply chains and knock-on effects from the Russia-Ukraine conflict, we will likely endure a bout of inflation that is higher than what we are accustomed to. Our research suggests that fundamentals are important in inflationary regimes.

Our recent inflation piece ranked monthly year-over-year inflation observations from 1926-2021, grouped them from lowest to highest, and treated each group as an “inflation regime”. The average annual inflation levels for each group is shown below.

We then evaluated overall stock returns within each inflation regime on a nominal and inflation-adjusted (real) basis. Stock returns decline as inflation increases but maintain purchasing power in all but the highest inflation regime, when inflation averages 11.2%.

Focusing on higher inflation regimes reveals that key selection factors—Value, Momentum, and Shareholder Yield—generate positive excess return on a real basis, which helps maintain purchasing power.

Value is Cheap

While historic precedent argues for some factor exposure, current valuations bolster the case. We often get asked whether value stocks are “cheap”. The current answer is “yes”, with the caveat that they’ve been cheap for a while. Valuation tends to be a poor timing mechanism for all but true long-term investors.

To answer whether value stocks are “cheap”, we assessed large cap stocks across U.S., Developed, and Emerging Markets. Stocks within each market were divided into groups by our value theme, which rankings for sales, cash flows, and earnings relative to price. After establishing these groups, we calculated the price-to-earnings (PE) ratio of each group and evaluated the spread between PE ratios of the cheapest and most expensive group.2 A higher spread suggests value is cheap relative growth.

The chart above illustrates this “value spread” in each market over time. The previous standout episode of value “cheapness” in the late 1990s preceded the Tech Bubble. This valuation dislocation was obvious, but difficult to act on given the relentless rise of growth stocks. Growth outperformed throughout the late 1990’s in dramatic fashion, but Value subsequently outperformed from roughly 2000 to 2007.

A similar episode of market “irrationality” has persisted in recent years as growth stocks have generally been the market leaders. The distortion was most prevalent in the U.S. as COVID exacerbated the dominance of growth stocks. At the end of 2021 value was cheaper (relative to growth) than at any point in at least 35 years.

We did a similar analysis using our Shareholder Yield theme—dividends plus share buyback activity—to understand whether high Shareholder Yield is cheap relative to low Shareholder Yield. We found an interesting trend: High Shareholder Yield firms have become persistently cheaper than their counterparts since the 2008 Global Financial Crisis (GFC).

One potential explanation is that buybacks act as a tailwind to earnings-per-share for firms utilizing buybacks as a capital allocation tool. When buybacks occur, share count gets reduced, which in turn boosts earnings per share. The opposite occurs to companies that dilute their shareholders through stock issuance, a popular trend among growth stocks since the GFC.

Core Principals of Diversification and Stock-Bond Correlations

Markets were refamiliarized with volatility in the first quarter. The post-COVID world has become one of uncertainty on all fronts—personal, fiscal, monetary, and geopolitical. We also find ourselves on the precipice of a major shift in monetary policy—easing to tightening. This occurs in every business cycle and in some ways will be no different, but in other ways couldn’t be any more different. We are emerging from a four-decade long trend of downward rates, which is bound to impact asset class performance.

Many investors have predicted an end to the bond bull market since the GFC and it appears those predictions have finally come true following the worst performance for bonds in decades, and the Federal Open Market Committee (FOMC) in the initial stages of liftoff. The difference between the last decade and now, of course, is inflation (which tends to have a deleterious effect on bond returns).

As inflation has moved higher in the post-COVID world, bonds have not fulfilled their diversification promise. Recently, in fact, bonds have been highly correlated with stocks in down markets recently. This is not historically unprecedented and can persist for long periods of time.

We pulled 10-Year U.S. Treasury yields from the Federal Reserve’s FRED database and converted them into returns to look at correlations versus the S&P 500 Index. The chart below shows the rolling 36-month correlation. Note that the correlation is positive and persistent for decades prior to the Tech Bubble. A positive correlation can imply a no or low diversification benefits.

We then broke down the correlation according to various regimes—The Great Inflation, The Great Moderation, Post-GFC, and Post-COVID—and in up / down equity markets.

Over the full 1963-2022 dataset, stocks and bonds produce a correlation of 0.13, but that varies substantially by regime.

During the Great Inflation, bonds were positively correlated with stocks in down equity markets. In other words, bonds were down when stocks were down. During the Great Moderation and post-GFC regimes, stocks and bonds were inversely correlated in equity down markets, suggesting bond allocations provided diversification benefits.

So far, the post-COVID regime shows the highest correlation of all the regimes, including in down markets. To be clear, we aren’t suggesting investors abandon fixed income, but our expectations need adjusting.

Historically, bonds serve two purposes in asset allocation frameworks—volatility reduction and income generation.

Despite the recent increase in interest rates, bond yields are still low compared to the income needs of most investors. Investors have battled this issue for over a decade, experimenting with solutions like increasing credit risk, generating alternative sources of income through option overlays, etc.

If, however, the volatility reduction component of bond allocations is diminished, a potential solution might be reducing risk on equity allocations as well. We recently published a piece highlighting the benefits of our Defensive Stability strategy: Hope for the Best, But Prepare for the Worst: Defensive Equity Investing in An Uncertain Market.

The strategy looks at five-year trailing volatility of fundamental and price metrics to select a portfolio of stocks meant to have low downside capture in down markets and lower than market volatility overall. We have seen an increase in interest in this strategy among Canvas partners in the last few months as volatility has ratcheted up.

Given the current macro backdrop, geopolitical tensions, supply chain issues, and a generational shift in monetary policy, it seems completely normal to expect asset markets to be volatile over the next few quarters as they adjust to whatever the new normal becomes. As that occurs, we will continue to invest according to our mandates, focusing on best-in-class execution, ongoing research, and harvesting losses (for taxable accounts) when able. The current environment may seem dauting, but on a long enough horizon for patient investors, opportunities abound.

Factor Performance

The charts below show the excess performance of the factor themes we monitor within each of our stock Universes. We think of Value, Momentum, and Shareholder Yield as selection factors—helping identify stocks we want to own and overweight for generating total return. Earnings Quality, Financial Strength, and Earnings Growth are quality factors that allow us to avoid stocks with non-cash driven earnings, weak balance sheets, and questionable underlying businesses. Stability is a selection factor for identifying stocks that tend to exhibit lower volatility and historically provide improved downside capture in drawdown. Column 1 for each of the panels represents the highest-ranking stocks on each factor while column 10 shows the lowest ranking. Historically, owning the highest ranked stocks and avoiding the lowest ranked stocks has resulted in successful investment outcomes.

U.S. Large Stocks

U.S. Small-Mid Stocks

Developed Markets ADR All Stocks

Emerging Markets ADR All Stocks

Dividend Growth


1 The basket consists of 18 stocks within Consumer Staples, Health Care, and Consumer Discretionary sectors, equal-weighted on 1/1/2022.

2 The U.S. is grouped into deciles while non-U.S. is grouped into quintiles. Stocks with negative earnings are excluded from the analysis. Value spread is measured as a ratio of earnings-to-price for the cheap versus the expensive group in each market.

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Past performance may not be indicative of future results. Therefore, it should not be assumed that future performance of any specific investment or investment strategy (including the Models), will be profitable, equal any historical index or blended index performance level(s), or prove successful. Historical index results do not reflect the deduction of transaction and custodial charges, or the deduction of an investment management fee, the incurrence of which would have the effect of decreasing indicated historical performance results. The Russell 3000 is a market capitalization-weighted index of 3000 widely held large, mid, and small cap stocks. Russell chooses the member companies for the Russell 3000 based on market size and liquidity. The MSCI All Country World Index is a market capitalization weighted index designed to provide a broad measure of equity-market performance throughout the world. The MSCI is maintained by Morgan Stanley Capital International and is comprised of stocks from 23 developed countries and 24 emerging markets. The Barclays Capital Aggregate Bond Index is a market capitalization-weighted index, meaning the securities in the index are weighted according to the market size of each bond type. Most U.S. traded investment grade bonds are represented. Municipal bonds and Treasury Inflation-Protected Securities are excluded, due to tax treatment issues. The index includes Treasury securities, Government agency bonds, Mortgage-backed bonds, corporate bonds, and a small amount of foreign bonds traded in U.S. The historical performance results for the Russell 3000, MSCI and Barclays are provided exclusively for comparison purposes only, to provide general comparative information to help assist in determining whether a Model or other type strategy (relative to the reflected indices) is appropriate for his/her investment objective and risk tolerance. Please Also Note: (1) Performance does not reflect the impact of client-incurred taxes; (2) Neither Model or the selected strategy holdings correspond directly to any such comparative index; and (3) comparative indices may be more or less volatile than the Model or selected strategy.

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CANVAS® is an interactive web-based investment tool developed by O’Shaughnessy Asset Management, L.L.C. (“OSAM”) that permits an investment professional (generally a registered investment advisor or a sophisticated investor) to select a desired investment strategy (the “Strategy”) for the professional’s client. At all times, the investment professional, and not OSAM, is responsible maintaining the initial and ongoing relationship with the underlying client and rendering individualized investment advice to the client. In addition, the investment professional and not OSAM, is exclusively responsible for:

  • determining the initial and ongoing suitability of the Strategy for the client;
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Hypothetical Limitations: To the extent that the investment professional seeks for CANVAS to provide hypothetical back-tested performance, material limitations apply-See above.

Model Deviations: As indicated above, OSAM, with minor deviations that it does not consider to be material*, currently use the Models to manage actual client portfolios (i.e., the live Models). The deviations include:

  • the use of proxies if and when an ETF used in the back-test was not available*. While the back-tested and live strategies both utilize the same investment themes, back-tested proxies can deviate from live models based on limitations of historical information;
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  • Results in the Transition Portal reflect expense ratios corresponding to the specific funds indicated/provided by the investment professional. Expense ratios are provided by an unaffiliated database. Results also reflect projected future yields corresponding to such current indicated funds. Such data may not be precise;
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