The Benefits of Transparency

One of the great advantages of full transparency in strategy methodology and daily holding information is the ability to now objectively measure and evaluate strategy characteristics across the wide range of non-cap-weighted ETF options. This surely represents a leap forward in potential investment-decision quality when one considers the relatively lower transparency of traditional active mutual funds. With ETFs, investors no longer need to wade through backward-looking data (prior returns, for example) to make investment decisions. Investors can now look at current characteristics when assessing ETFs and be clinically objective in comparing and selecting strategies.  

 

Defining Risk Efficiency

At the most fundamental level, the assessment of a strategy’s forward-looking potential should be based on strength and balance across rewarded risks, as well as the existence and magnitude of exposure to unrewarded or negatively compensated risks. In many regards, the exposure to the latter is more important to understand than the former, yet many investors are unaware of the potential negative impact of such exposures. Defining a conceptual and analytical framework to comprehensively evaluate strategies is a key to better investment decisions.

 

“A hallmark of a highly risk-efficient investment includes maximizing exposure to rewarded risk factors and minimizing exposure to unrewarded risks or negatively compensated risks.”

 

A hallmark of a highly risk-efficient investment includes maximizing exposure to rewarded risk factors and minimizing exposure to unrewarded risks or negatively compensated risks. As a conceptual starting point, let’s consider risk-factor exposure generated by single-factor index approaches. In FIGURE 1, we constructed proxy portfolios representing “pure” factor exposure across the five primary categories of risk premia. These five “super factors” are supported by substantial empirical, academic research, and their historical return persistence can be explained by risk and/or behavioral rationale.

 

Eyes Wide Open: 
Evaluating Risk Efficiency

Systematic strategies provide investors with the opportunity to achieve more balanced risk-factor exposure and the potential for greater outcome persistence.  

Strategies vary widely in their approach and result in multiple dimensions of risk efficiency, expressed in different degrees of factor exposure and balance, and concentration and forward-looking risk characteristics.

When evaluating a strategy’s risk efficiency, consider the following five dimensions:

  1. Strength/expression of positively rewarded risk factors
  2. Conflicting negative risk factor expression
  3. Balance across risk factors
  4. Unintended concentrations (company, sector, and country)
  5. Forward-looking risk characteristics

Beware of Unintended Risks

While the proxy portfolios shown below were created using a simple methodology, they illustrate a common risk challenge: Honing in on a single factor may have unintended consequences. In the case of the small-size portfolio, the brown bar represents the intended exposure while three other factors are negative, meaning that the strategy would deliver unintended risk exposures to important factors. This imbalance of conflicting factor expression is observable in the other single-factor strategies. Similarly, ad-hoc weighting methods, such as fundamental weighting, equal weighting, or dividend weighting, likewise indicate a combination of positive and negative risk-factor expression.

A primary conclusion here is that single-factor strategies that intend to provide positive exposure to one dominant factor may show low or negative expression of other rewarded factors. That is to say, they contain positive exposure to negatively compensated risks (e.g., an anti-value bias currently available in the momentum or small-size portfolio). Given the cyclicality of individual factor performance and conflicting positive/negative factor expression, investors may reel from a double-barrel effect on performance when the tape inevitably turns. 

Concentration at multiple levels in the portfolio presents another negatively rewarded and idiosyncratic risk to be aware of in evaluating strategies. This should be considered at the stock, industry, and—if an international strategy—country levels. Some single-factor strategic beta strategies may result in meaningful concentration across these dimensions, exposing investors to more erratic performance as the areas of concentration go in and out of favor or underrepresented areas outperform areas of concentration. Our research across the universe of non-cap-weighted ETFs indicates that many strategies introduce greater concentration risk than the cap-weighted reference index for the area covered.

 

Eyes Wide Open: 
Evaluating Risk Efficiency

Systematic strategies provide investors with the opportunity to achieve more balanced risk-factor exposure and the potential for greater outcome persistence.  

Strategies vary widely in their approach and result in multiple dimensions of risk efficiency, expressed in different degrees of factor exposure and balance, and concentration and forward-looking risk characteristics.

When evaluating a strategy’s risk efficiency, consider the following five dimensions:

  1. Strength/expression of positively rewarded risk factors
  2. Conflicting negative risk factor expression
  3. Balance across risk factors
  4. Unintended concentrations (company, sector, and country)
  5. Forward-looking risk characteristics

Figure 1
Factor-Based Hypothetical Portfolios1 

Factor-Based Hypothetical Portfolios

1 As of 12/31/23. Factor-based hypothetical portfolios were constructed using the global universe as defined by Hartford Funds, which covers developed-market countries, including the US, and emerging-market countries. Portfolios were rebalanced monthly. From the date of each rebalance, to be included in the universe, a stock must have had an average daily trading volume over the last 6 months > $1.5M and market cap > $500M.  Low-valuation, high-momentum, high-quality, small-size, and low-volatility portfolios are built by selecting the companies in the top quintile after being ranked from highest to lowest score based on each respective factor, and then they are equally weighted. Companies outside of the top quintile are excluded from the portfolios. The portfolios are theoretical and assume no fees or trading costs. Actual fund results may differ significantly. Resulting factor scores of each portfolio are calculated as the weighted-average factor score. Data sources: Compustat and S&P Capital IQ. Calculations by Hartford Funds. This chart is updated on an annual basis at the end of each calendar year and is for illustrative purposes only. Results are subject to change.

 

Finally, investors should consider the forward-looking risk characteristics of any strategy under consideration. The daily transparency of holdings in ETFs allows for a variety of forward-looking risk analytics to be run, including expected volatility, expected tail loss, and downside capture across various stress and market scenarios. In looking across the many strategies on the market, it’s clear there’s wide variation in forward-looking risk, with—as an example in contrast—single-factor low-volatility strategies generating lower-than-market forward-looking risk characteristics and fundamentally weighted strategies generally having higher-than-market forward-looking risk. This isn’t to say that lower- or higher-than-market risk attributes are inherently positive or negative, but to acknowledge that a strategy on either side of the dividing line will likely outperform or underperform depending on the risk environment.

Investors with the clairvoyance required to time factors, sectors, countries, and market risk can certainly use such strategies as tactical tools. For investors looking for factor-based outcome enhancement as a longer-term or core equity holding, identifying strategies with high risk efficiency and less regime dependence is the order of the day.