Optimizing Trade Execution for ETFs of All Levels of Liquidity
The liquidity of the SPDR® S&P 500® ETF (SPY) sets the benchmark of implementation flexibility for a wide array of trading strategies. Trading less liquid ETFs efficiently often requires more attention to the details.
Exchange traded funds (ETFs) are known for their tradability. With more than $1.7T in secondary market notional volume in the fourth quarter of 2024 — more than the next five most actively traded ETFs combined — the robust liquidity of the SPDR® S&P 500 ETF (SPY) sets the benchmark of implementation flexibility for a wide array of trading strategies.1
Yet with 89% of all US-listed ETFs trading less than $25M per day, on average during Q4 of 2024,2 we’re mindful that trading the vast majority of less liquid ETFs efficiently can take a little more attention. We’re here to help.
As a liquidity leader, SPDR ETFs accounted for 28.8% of all notional trading volume of US-listed ETFs in Q4 of 2024.3 The SPDR Execution Strategy and Analytics team is a dedicated group of capital markets professionals focused on providing resources to help assess ETF liquidity and evaluate different execution strategies for the entire range of SPDR ETFs.
Determining Execution Objectives — One Size Does Not Fit All
As the number of ETFs in the marketplace has grown, investors have increasingly dedicated resources to evaluating ETF liquidity as a key component of their total cost of ownership (TCO). For all SPDR ETFs, our SPDR Execution Strategy and Analytics team can help you evaluate different execution strategies with the goal of optimizing investment objectives and TCO. The SPDR Execution Strategy and Analytics Team can help assess:
Execution priorities
- How does the client define best execution?
- How does the client benchmark their execution quality and costs?
- What is the timeframe/urgency for execution?
- What order types are available to the person executing the trade?
Trade considerations
- Is the creation/redemption window open?
- Based on trade details and objectives, which is the correct type of order to use?
- Is the trade of a social size, or is it outsized in comparison with the ETF’s historical average volumes?
- What is the trade size relative to the underlying market?
- Are the underlying constituents open to trade due to local market hours or holidays?
Market environment
- Is the market trading in an orderly fashion (i.e., volatility halts)?
- Is the average daily volume (ADV) drastically higher/lower than normal?
- Is the ETF’s bid/ask wider than usual?
- Is there currently an outsized premium/discount?
Match Execution Strategies with Portfolio Objectives
ETF secondary trading volume is often the first measure of ETF liquidity. However, investors with larger order sizes can source liquidity not displayed on the screen from liquidity providers. ETFs are at least as liquid as their underlying constituents at any given point in time. With ETFs representing a multitude of asset classes, geographies, sectors, and styles, the SPDR team is available to navigate different market environments and volatility regimes to properly evaluate execution strategies and meet your objectives.
Execution Strategy |
Description |
High Urgency |
Market Impact Sensitivity |
Time Risk |
Anonymity |
Risk Trade |
Client received price for the entire trade at once, and the liquidity provider takes on the risk of managing the result position. Liquidity providers can be put in competition for the trade, allowing for a clear measure of best execution. Client generally benchmarks vs. the quoted NBBO. |
Yes |
|
|
|
NAV Trade |
Trade executed by buying or selling the underlying basket of securities and subsequently creating/redeeming ETF shares. The client typically receives a price reflective of executions for the underlying basket of securities plus or minus creation/redemption costs. Client generally benchmarks vs. end of day NAV. |
|
Yes |
Yes |
|
Worked Order |
Electronic order types using automated preprogrammed trading instructions. Orders can be measured relative to execution benchmarks based on volume, time or other metrics. Can be applied to both trading in the secondary market or trading the basket. |
|
Yes |
Yes |
Yes |
Trading the SPDR® MSCI USA StrategicFactors℠ ETF (QUS)
The SPDR® MSCI USA StrategicFactors℠ ETF (QUS) seeks to track the MSCI USA Factor Mix A-Series Capped Index, a Smart Beta index that blends low volatility, quality, and value exposures together in a single strategy and bridges the gap between active and passive management. As a result, QUS provides an opportunity for investors to rethink exposures and potentially maximize risk-adjusted returns more efficiently. The fund averaged roughly $3.4M in secondary notional value over the last 30 days, as of December 31, 2024.4
Investors seeking to trade orders of $15M–30M would represent a significant portion of the secondary volume but may consider trading the ETF on risk with a liquidity provider.
Let’s walk through execution considerations:
- Execution Priority Trade Strategies: Can be developed to best align with the client’s execution priorities including cost, immediacy of trade, and anonymity.
- Trade Considerations: The order size represents a large percentage of QUS’s secondary trading volume, but a small percentage of the underlying basket volumes. The 30-day average daily aggregate volume of QUS’s underlying securities was more than $374B.5
- Market Environment: Is there news or are there macro-related headlines that may impact market volatility or cause uncertainty for liquidity providers? The chart below shows the impact volatility had on QUS’s bid/ask spread.
Secondary Market Block Trades:
We can see in the chart below that risk trades in the $10M–40M range have occurred in QUS as investors have sourced liquidity from providers. Each example should be evaluated independently, as time of day and market environment can impact relative pricing. However, these block trades should serve as helpful historical examples of risk trades executed during different market environments.
On January 7, 2022, a client bought approximately $31.4M of QUS. At the time that the trade took place, the market was 128.29/128.33. For reference, the VIX Index was priced 18.8 at the time of the trade.
- The client received an execution price equal to the national best bid/offer (NBBO) on the trade, implying 1.6bps of impact.
- This trade was 3.7 times the fund’s Q1 2022 average value traded.
Figure 3: QUS's Secondary Market Block Trades
Date | Time | Size (shares) | Value ($M) | Trade Price | Bid | Ask | Impact % | Impact $ | VIX Index |
---|---|---|---|---|---|---|---|---|---|
1/7/2022 | 15:30:51 | 245,000 | $31,426,150 | 128.27 | 128.29 | 128.33 | 0.02% | $0.02 | 18.8 |
5/9/2024 | 13:31:24 | 187,338 | $26,914,850 | 143.67 | 143.67 | 143.73 | 0.00% | $- | 12.7 |
1/21/2022 | 12:20:11 | 223,118 | $27,363,192 | 122.64 | 122.53 | 122.62 | 0.02% | $0.02 | 28.9 |
2/25/2022 | 12:30:30 | 192,554 | $23,143,065 | 120.19 | 120.19 | 120.25 | 0.00% | $- | 27.6 |
2/1/2022 | 13:27:59 | 186,567 | $23,095,129 | 123.79 | 123.74 | 123.79 | 0.00% | $- | 22.0 |
Source: Virtu/ITG, as of October 3, 2024.
The above is provided for illustrative purposes only. Each client’s circumstances differ and this client’s experience may not be representative of every client’s experience.
Figure 4: QUS's Secondary Market Information
Timeframe | 5 Day | 30 Day | Year-to-Date |
---|---|---|---|
Spreads ($) | 0.14 | 0.13 | 0.10 |
Spreads (%) | 0.09% | 0.08% | 0.06% |
Volume ($) | 3,006,336 | 3,442,591 | 3,663,183 |
Volume (Shares) | 19,270 | 21,472 | 24,968 |
Performance (%) | -1.79% | -1.80% | 19.03% |
Fund Flows ($) | - | (1,032,200) | 95,142,300 |
Secondary-Primary Ratio | 5:1 | 2.6:1 | 3:1 |
Average Premium/Discount (%) | 0.09% | 0.08% | 0.06% |
Source: Bloomberg Finance, L.P., as of December 31, 2024. Past performance is not a reliable indicator of future performance.
Figure 5: Standard Performance Information
QUSSPDR® MSCI USA StrategicFactors℠ ETF
Fund Before Tax | As Of | 1 Month | QTD | YTD | 1 Year | 3 Year | 5 Year | 10 Year | Since Inception Apr 15 2015 |
---|---|---|---|---|---|---|---|---|---|
NAV | Feb 28 2025 | 0.68% | 4.57% | 4.57% | 16.89% | 12.34% | 15.06% | - | 12.56% |
Market Value | Feb 28 2025 | 0.68% | 4.54% | 4.54% | 16.95% | 12.35% | 15.03% | - | 12.56% |
Fund Before Tax | As Of | 1 Month | QTD | YTD | 1 Year | 3 Year | 5 Year | 10 Year | Since Inception Apr 15 2015 |
---|---|---|---|---|---|---|---|---|---|
NAV | Dec 31 2024 | -4.65% | -0.90% | 18.96% | 18.96% | 7.57% | 12.11% | - | 12.27% |
Market Value | Dec 31 2024 | -4.64% | -0.86% | 18.94% | 18.94% | 7.57% | 12.13% | - | 12.27% |
Past performance is not a reliable indicator of future performance. Investment return and principal value will fluctuate, so you may have a gain or loss when shares are sold. Current performance may be higher or lower than that quoted. Performance of an index is not illustrative of any particular investment. All results are historical and assume the reinvestment of dividends and capital gains. It is not possible to invest directly in an index.
Performance returns for periods of less than one year are not annualized. Performance is shown net of fees.
Index returns are unmanaged and do not reflect the deduction of any fees or expenses. Index returns reflect all items of income, gain and loss and the reinvestment of dividends and other income as applicable.
The market price used to calculate the Market Value return is the midpoint between the highest bid and the lowest offer on the exchange on which the shares of the Fund are listed for trading, as of the time that the Fund's NAV is calculated. If you trade your shares at another time, your return may differ.
Gross Expense Ratio: 0.15%
Rely on the Expertise of the Liquidity Leader
With decades of trading experience and a wide variety of pre-trade liquidity analytics tools, the SPDR Execution Strategy and Analytics team is dedicated to working closely with clients to evaluate ETF liquidity and provide product and trading support.