Return Compression and the Illusion of Equity-Like Returns
In recent years, volatility-controlled indexes (VCIs), also known as target-volatility or risk-control indexes, have become increasingly common in financial products, particularly within indexed universal life (IUL) insurance policies and structured products. These indexes are designed to maintain a relatively stable level of volatility by adjusting exposure between equities and low-risk assets such as Treasury bills or cash equivalents.
While VCIs can provide smoother return patterns and reduced drawdowns, they are frequently misunderstood. Many investors and advisors implicitly benchmark them against traditional equity indexes such as the S&P 500. However, volatility-controlled indexes are structurally different from fully invested equity strategies and should therefore be expected to produce materially different long-term results.
Understanding the economic mechanics of volatility-controlled indexes is especially important in estate and wealth planning contexts, where life insurance products are frequently used for long-term accumulation, retirement income planning or estate liquidity. When VCIs are used within IUL policies, the interaction between index design and insurance product mechanics can significantly influence long-term performance outcomes.
Structural Characteristics of Volatility-Controlled Indexes
A volatility-controlled index attempts to maintain a target level of volatility, commonly in the range of 5% to 10%. To achieve this, the index adjusts its allocation between equities and low risk assets based on prevailing market conditions.
The mechanism generally operates as follows:
- When market volatility rises, the index reduces exposure to equities and reallocates capital toward cash or Treasury securities.
- When volatility declines, the index increases equity exposure.
These adjustments often periodically go through systematic rebalancing rules designed to maintain the index’s volatility target.
This structure contrasts sharply with traditional equity benchmarks such as the S&P 500, that maintain full exposure to the stock market regardless of market volatility. As a result, the S&P 500 captures the full magnitude of both market gains and losses, while volatility-controlled indexes seek to dampen those fluctuations by moderating equity exposure.
The Trade-Off Between Volatility Reduction and Return
Reducing volatility is appealing from a risk-management perspective, but it inevitably introduces a trade off: lower expected returns. This outcome stems from two primary mechanisms.
Reduced Exposure to the Equity Risk Premium
Equities historically generate higher returns than cash or short-term fixed income assets. When a volatility-controlled index shifts assets away from equities during periods of elevated volatility, it reduces exposure to the equity risk premium.
For example, targeting a 5% volatility level when the underlying equity index exhibits approximately 15%-18% volatility implies an average equity exposure of roughly 30%-35%. The remaining allocation is typically held in cash or cash equivalent assets. Over time, this lower equity exposure significantly reduces the expected return of the strategy.
Timing Effects from Volatility Targeting
Volatility-controlled indexes also experience what can be described as a mechanical timing effect. When volatility spikes, the index reduces equity exposure. When volatility subsides, exposure is gradually increased.
Because volatility often rises during market declines and falls during recoveries, this process can produce a “sell-low, buy-high” dynamic. While this behavior is intrinsic to volatility targeting, it can create an additional drag on long-term performance.
Historical Performance Relative to Equity Benchmarks
Across many volatility-controlled index methodologies, long-term performance has generally trailed that of traditional equity benchmarks. Although individual index designs differ, research and modeling typically show that VCIs have historically lagged the S&P 500 by approximately two to five percentage points annually over long time horizons.
This performance gap reflects the structural differences between the strategies. A volatility-controlled index is designed to reduce risk, not to maximize return. As a result, its long-term growth potential is inherently lower than that of a fully invested equity portfolio.
At the same time, volatility-controlled indexes tend to exhibit smoother return patterns and smaller drawdowns, characteristics that may appeal to certain investors or product designers. This is all fine if policy owners understand it.
Projected Long-Term Compounding: Equity vs. Balanced vs. VCI
Appropriate Benchmarks for Volatility-Controlled Strategies
Comparing a volatility-controlled index directly with an equity benchmark such as the S&P 500 can be misleading because the two strategies operate under fundamentally different risk assumptions. A more appropriate comparison is with balanced portfolios or conservative asset allocations. In many cases, a volatility-controlled index behaves similarly to a dynamically managed allocation strategy combining equities and low risk assets.
Under these assumptions, volatility-controlled indexes exhibit risk and return characteristics closer to conservative asset allocation portfolios than to pure equity strategies.
Long-Term Compounding Implications
Small differences in annual returns can produce substantial variations in long-term wealth accumulation. Over a 30-year period, the impact of reduced returns becomes evident. Imagine an IUL policy put in force on a 30-year-old who lives to 90. The growth could be a factor of 10. For example, using simplified geometric return estimates:
For example, using simplified geometric return estimates:
These differences highlight the economic cost of maintaining low volatility. Although volatility-controlled strategies may reduce drawdowns and smooth annual returns, they can also materially reduce long-term compounding.
The Role of Volatility-Controlled Indexes in Indexed Universal Life
Volatility-controlled indexes are widely used in indexed universal life policies for reasons largely related to option pricing.
IUL crediting strategies typically rely on options to provide exposure to market indexes while protecting policyholders from direct market losses. Option prices are heavily influenced by volatility, and higher volatility increases option costs, which can reduce the caps or participation rates insurers are able to offer.
Because volatility-controlled indexes maintain relatively stable volatility levels, they can lower option costs and make crediting strategies more predictable from the insurer’s perspective.
However, lower volatility does not increase the underlying index return. Instead, it simply stabilizes the cost of hedging.
The Stacking Effect Within IUL Policies
When volatility-controlled indexes are used within IUL policies, an important interaction occurs between the index design and the insurance product structure.
An IUL policy does not directly invest in equities. Instead, it provides market exposure through option-based crediting strategies that typically include caps, participation rates or spreads.
This introduces a layered effect on potential returns:
- Volatility-controlled index design, which may already produce lower returns than equity markets.
- Option-based crediting structures, which limit upside participation.
When these mechanisms operate together, the result can be a compression of potential returns relative to direct market exposure.
Market Conditions That Challenge Volatility-Controlled Indexes
Certain market environments can amplify the performance gap between volatility-controlled indexes and equity benchmarks.
In recent years, markets have experienced several conditions that are particularly challenging for volatility-targeting strategies:
- Sudden volatility spikes
- Rapid “V-shaped” market recoveries
- Concentrated market leadership among a small number of large technology companies
- Periods of persistently elevated volatility
In these environments, volatility-controlled indexes may reduce equity exposure during the volatility spike and re-enter equities only after markets have already rebounded. This dynamic can limit participation in strong recoveries.
My research has shown many VCIs with a negative five-year return and long-term growth lagging inflation.
Implications for Advisors and Trustees
For advisors, trustees and estate planning professionals, the key takeaway is that volatility-controlled indexes should not be viewed as substitutes for traditional equity investments.
Rather, they should be understood as risk-management strategies that trade higher volatility for lower expected returns.
When evaluating financial products that reference volatility-controlled indexes, particularly life insurance policies, it is important to consider the cumulative effect of index design and product structure on long-term performance expectations.
Clear communication about these mechanics can help ensure that investment strategies align with client objectives and realistic return expectations.
Conclusion
Volatility-controlled indexes represent a systematic approach to reducing portfolio volatility through dynamic allocation between equities and low-risk assets. While this design can produce smoother returns and smaller drawdowns, it inevitably reduces long-term growth potential compared with fully invested equity strategies.
Over full market cycles, volatility-controlled indexes should be expected to lag equity benchmarks such as the S&P 500 and to behave more like conservative asset-allocation portfolios.
When incorporated into indexed universal life policies, the interaction between volatility targeting and option-based crediting mechanisms can further influence performance outcomes. For estate planners and financial advisors, understanding these structural dynamics is essential for setting appropriate expectations and evaluating the role such products may play within a broader wealth-management strategy.
Bill Boersma, CLU, AEP, LIC, is founder and owner of OC Consulting Group, a firm specializing in life insurance analysis, advanced case design, and litigation consulting. More information is available at www.OC-LIC.com and www.BillBoersmaOnLifeInsurance.info. He may be reached at bill@oc-lic.com or 616-456-1000.
Securities offered through Valmark Securities, Inc. Member FINRA, SIPC. Investment Advisory Services offered through Valmark Advisers, Inc. a SEC Registered Investment Advisor.
OC Consulting Group and its affiliates are separate entities from Valmark Securities, Inc. and Valmark Advisers, Inc.
Guarantees are based on the claims-paying ability of the issuing company. Indices are unmanaged and do not incur fees. One cannot directly invest in an index. The examples given are hypothetical and for illustrative purposes only. Actual results will vary.
