Theme sleeves: liquidity and commission filters before industry rotation

A mid-2017 theme-sleeve snapshot

By mid-2017 the theme-based ETF niche was described as numbering about 30 products. Those products were framed as a narrower, forward-looking subset of familiar sector funds, not as a broad market-cap sleeve.

Theme-product issuance was dated to 2013, with a larger wave in 2015 and 2016. By the 17 April 2017 snapshot, most of the compared funds still had short live histories.

Volume and spread under a liquidity-filter

Across six compared theme ETFs, four showed three-month average daily volume below 75,000 shares. The thin prints included readings near 9,969 and 2,000 shares.

In one same-theme pair, average quoted spreads were about 0.11% versus about 0.24%. The wider spread was tied to much lower trading volume. A liquidity-filter uses that volume and spread picture, plus related market depth, to decide whether the theme product is executable.

Commission-analysis of fees and spreads

Stated net expense ratios on the six compared theme ETFs ran from 0.60% to 0.95%. Many broad index ETFs sat below 0.10%.

Commission-analysis puts those explicit expense ratios next to bid-ask spreads and related trading costs, then compares the package with cheaper broad index vehicles. Implementation-cost is the combined fee, spread, and market-impact drag paid to enter, hold, and exit the theme product.

Listing age and asset bases

Earlier listings in two theme pairs coincided with larger asset bases. One pair showed about $419.07 million versus $53.44 million. Another showed about $953.73 million versus $208.9 million, and the larger cybersecurity fund was described as holding about 80% of that category’s assets.

Holdings count and split benchmarks

Compared theme portfolios held between 28 and 81 names, with several clustered near 35 holdings. That book is more concentrated than a typical broad index ETF, so concentration-risk is the extra single-name and theme-specific risk in a few-dozen-name fund.

Even similarly labeled robotics and cybersecurity products used different published benchmarks. Those split benchmarks blocked a uniform comparison of the sleeves.

Industry-rotation after the filters

The 2017 case treated theme ETFs as an industry-rotation overlay. Competing theme exposures could be ranked on quarterly and annual relative-strength windows, with only the leaders sized inside a diversified book. The same case expected later overcrowding and closures or mergers of undersized products.