IN THIS LIST

Low Volatility and High Beta: A Study in Backtest Integrity

Harnessing Multi-Factor Strategies Close to the Core

Returns, Values, and Outcomes: A Counterfactual History

What Happened to the Index Effect? A Look at Three Decades of S&P 500 Adds and Drops

Limiting Risk Exposure with S&P Risk Control Indices

Research - Nov 12, 2021

Low Volatility and High Beta: A Study in Backtest Integrity

Craig Lazzara

Managing Director, Index Investment Strategy

S&P Dow Jones Indices

EXECUTIVE SUMMARY

In April 2011, S&P Dow Jones Indices launched the S&P 500^® Low Volatility Index (Low Volatility) and the S&P 500 High Beta Index (High Beta). Their recent 10^th “birthday” allows us to compare the backtested performance with which they were introduced with actual live performance.
Low volatility and high beta strategies are designed to access specific patterns of returns relative to the market. Low volatility should attenuate the market’s returns (in both directions), while high beta should amplify them.
The actual performance of both Low Volatility and High Beta has been consistent with these expectations.

Low Volatility and High Beta: A Study in Backtest Integrity: Exhibit 1

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Research - Nov 02, 2021

Harnessing Multi-Factor Strategies Close to the Core

Andrew Innes

Head of Global Research & Design

S&P Dow Jones Indices

Rupert Watts

Head of Factors and Dividends

S&P Dow Jones Indices

EXECUTIVE SUMMARY

Factors that outperform over time are also prone to extended periods of underperformance, which are difficult to time. For investors seeking exposure to factor risk premia but with greater diversification and reduced cyclicality, multi-factor strategies may be more suitable than single factors.

Accordingly, S&P DJI presents a new series of multi-factor indices, collectively known as the S&P QVM Top 90% Indices, covering the U.S. large-cap, mid-cap, and small-cap universes (S&P 500^®, S&P MidCap 400^®, and S&P SmallCap 600^®, respectively). In this paper, we analyze the indices' methodology and performance characteristics. Multi-factor scores are based on the average of three separate factors: quality, value, and momentum (QVM). This new index series encompasses a high proportion of the universe, whereas existing multi-factor indices are typically more concentrated.

Different multi-factor strategies produce different outcomes and positioning. Construction matters. These new indices select constituents in the top 90% of the universe, ranked by their multi-factor score and weighted by float-adjusted market capitalization (subject to constraints).

The indices generated moderate outperformance by removing the lowest-ranked decile of stocks. This plus float-adjusted market cap weighting allows the indices to retain many of the core features of the benchmark. In summary, the key historical performance characteristics of the S&P QVM Top 90% Indices include:

Moderate outperformance versus the benchmark;
Low tracking error;
Low turnover;
Low active share; and
Sector weights consistent with the benchmark.

INTRODUCTION

With the rising adoption of factor indices, the traditional boundaries between passive and active investing have become increasingly blurred. For decades, institutional investors constructed portfolios from a combination of market-cap-weighted index funds and active funds. Now, factor-based investing straddles these two approaches and enables institutional and retail investors alike to implement active strategies through passive vehicles.

Single-factor equity strategies (quality, value, or momentum) have been widely adopted to harvest each factor risk premium that could reward market participants over the long term. However, each factor is susceptible to periods of underperformance dependent on the market environment and economic cycle. This induces some market participants to attempt the notoriously difficult task of timing factors through tactical allocation strategies.

An alternative solution is to employ a transparent multi-factor strategy that aims to capture exposures across all targeted factors simultaneously. Such a strategy exploits the potential diversification benefits by combining factor returns that have relatively low correlation to one another (see Exhibit 2). Subsequently, the diversified factor exposures may provide more stable excess returns over shorter time horizons, while still capturing their average long-term risk premia. Importantly, this approach avoids the need to subjectively time factor exposures.

Exhibit 3 demonstrates the key differences between single-factor strategies and the multi-factor strategy in these indices. Here the full-year return of three single factor indices (S&P Quality, S&P Enhanced Value, and S&P Momentum), the S&P QVM Top 90% Multi-factor Index, and their respective benchmarks are ranked each year. Across all three universes (S&P 500, S&P MidCap 400, and S&P SmallCap 600), the wide variability in the calendar year performance rank of each single-factor strategy is evident. Conversely, the multi-factor strategy more consistently exhibits stable excess returns (higher performance rank) across most calendar years with respect to its benchmark.

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Research - Sep 15, 2021

Returns, Values, and Outcomes: A Counterfactual History

Craig Lazzara

Managing Director, Index Investment Strategy

S&P Dow Jones Indices

EXECUTIVE SUMMARY

Any analysis of investment policy or strategy must be based on historical data. Even if an analyst wants to extrapolate into the future (which we do not), extrapolations must start with the past.
But the historical data that we observe were not inevitable; history might have turned out differently than it actually did.
In this paper, we construct a counterfactual history of the last 40 years of U.S. equity returns, and explore what those histories could imply for investment policy.
Although the range of possible outcomes is quite wide, one consistent conclusion is that long-term investors in large-capitalization U.S. equities would have been advantaged by choosing passive rather than active management.

Returns, Values, and Outcomes: A Counterfactual History: Exhibit 1

INTRODUCTION

We often write about equity markets and the potential implications of various investment strategy choices. What are the implications of the choice between active and passive management? How have factor or “smart beta” strategies performed in various economic environments? What do market dynamics tell us about the investment opportunity set?

All of these questions, and others like them, are important, but all are questions about returns. Investors, however, live not with a series of returns, but rather with portfolio values. In this paper, we model the connection between returns and portfolio values over a long-term historical horizon.

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Research - Sep 15, 2021

What Happened to the Index Effect? A Look at Three Decades of S&P 500 Adds and Drops

Hamish Preston

Head of U.S. Equities

S&P Dow Jones Indices

EXECUTIVE SUMMARY

The index effect refers to the excess returns putatively associated with a security being added to, or removed from, a headline index. Although it has been studied for decades, the index effect has received more attention in recent years amid the growth of passive investing and the accompanying speculation that stock returns may be affected by buying and selling pressures from index-tracking investors reacting to changes in index membership.

This paper analyzes S&P 500® additions and deletions from the start of 1995 to June 2021. We focus on the S&P 500 given it is the world’s most widely followed index—USD 13.5 trillion was indexed or benchmarked to the large-cap U.S. equity gauge at the end of 2020 —and so if the growth of passive investing contributed to an index effect, one might expect it to appear in S&P 500 additions and deletions.

Overall, our analysis corroborates the general consensus reflected in existing literature: the S&P 500 index effect seems to be in a structural decline (see Exhibit 1). Our analysis also suggests that an improvement in stock liquidity may help to explain the attenuation in the index effect over time.

What Happened to the Index Effect? A Look at Three Decades of S&P 500 Adds and Drops: Exhibit 1

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Research - Aug 25, 2021

Limiting Risk Exposure with S&P Risk Control Indices

INTRODUCTION

The volatility seen during the Global Financial Crisis (GFC) in 2008 broke the calm that was present in financial markets from 2004 to early 2007. Most asset classes experienced significant pullbacks, markets became volatile, and the correlation between asset classes increased significantly. Portfolio construction based on the backward-looking correlation model failed, as the expected diversification benefit was eliminated precisely when it was needed the most.

In the aftermath of the GFC, institutional market participants with long-term investment horizons have responded with aversion to this volatility by considering a number of risk control strategies. The risk control strategies adjust market exposure in inverse relation to risk to target a stable level of volatility in all market environments. For institutional market participants with long-standing liabilities, which can range from defined benefit plans to variable annuities offered at insurance companies, a risk control strategy may provide a smoother path of asset returns (see Exhibit 1) and could more closely align the performance of the institution’s assets to the characteristics of its liabilities.

Limiting Risk Exposure with S&P Risk Control Indices: Exhibit 1

S&P Dow Jones Indices has developed a risk control framework through a series of risk control indices, which seek to measure various underlying equity- or futures-based indices at set risk levels. S&P Dow Jones Indices’ risk control indices feature:

Globally accepted, independent underlying indices like the S&P 500, S&P 500 Low Volatility, and S&P 500 Dividend Aristocrats^®;
Transparent methodology based on the underlying index’s historical volatility;
Measurements of risk, based on volatility, to help market participants control risk at a predefined level; and
Utilization of the same constituents as the underlying index.

S&P Dow Jones Indices has created a suite of risk control indices based on a large number of equity and thematic indices, along with the S&P GSCI^® and the other commodity indices in its series (see the Appendix for a complete list).

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