ETF

Case study: Enhancing traditional beta exposure through factors

Two trains running parallel
Key takeaways
The challenge.
1

A government pension plan wanted a factor strategy to improve the risk-adjusted returns of traditional US equity beta exposure while limiting tracking error.

The approach.
2

Start with an S&P parent universe and target three well-established factors — quality, value, and momentum — while taking steps to reduce tracking error. 

The solutions.
3

The client seeded three new ETFs with Invesco to complement traditional beta exposure, with the ability to quickly adjust exposures as part of their quarterly asset allocation process.

Case study: Enhancing traditional beta exposure through factors

Improve the risk-adjusted returns of traditional US equity beta exposure while limiting tracking error — a government pension plan wanted a factor strategy designed to meet this goal. We partnered with the client and S&P Dow Jones Indices to develop a new family of three multi-factor indices and ETFs: the Quality Value Momentum (QVM) Multi-factor Suite.

The approach

Equity factor investing seeks to identify the stocks of companies with certain quantifiable characteristics that have been shown to contribute meaningfully to returns over time. It’s become a standard solution for institutional investors who are seeking to optimize returns and enhance portfolio diversification.

Our approach targeted three well-established factors:

Quality: Stocks with low leverage and high return on equity, cash flow, and profitability. Quality is a defensive factor that can potentially outperform in down markets.

Value: Stocks trading at a discount to intrinsic value based on measures such as price to earnings or sales. Value is an offensive or pro-cyclical factor that can potentially outperform the broad market during periods of strong equity returns.

Momentum: Stocks with strong recent performance. Momentum is a trending factor that can be offensive or defensive, but it tends to benefit from consistent market trends.

The methodology

The QVM methodology starts with a traditional S&P equity universe. It then ranks each stock based on a composite quality, value, and momentum score, and removes the bottom 10% of stocks with the lowest scores. The portfolio is weighted by float-adjusted market capitalization.

Eliminating a small percentage of stocks from the parent index and weighting the remaining positions by market capitalization helps keep tracking error low.

 

Simplified index methodology

Start with the S&P parent universe
Calculate the quality, value, and momentum scores for each stock
Select the top 90% of stocks with the highest multifactor scores
Weight the portfolio by floated-adjusted market capitalization to further reduce tracking error
S&P Quality, Value, and Momentum Top 90% multifactor Index

The solutions

This strategy is available in three ETFs based on the S&P 500 Index, S&P MidCap 400 Index, and S&P SmallCap 600 Index.

The ETFs were launched on June 30, 2021, so they have a live performance track record longer than three years.

The pension plan used these ETFs as a complement to traditional US equity beta exposure. The funds give the client the ability to quickly adjust exposures as part of their quarterly asset allocation process.

For institutional investors interested in potentially harvesting factor premia, but who are unable or unwilling to assume significant tracking error, this approach may be optimal.

How can we help meet your needs?

Institutional investors are increasingly using ETFs for their efficiency, cost-effectiveness, liquidity, and ability to quickly implement investment views. Explore our ETF capabilities for institutional investors, and contact our Institutional ETF specialists to discuss your objectives and how we can help strengthen your portfolios with the flexibility of ETFs.

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