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Yes, but only as a research finding so far: a working paper reports that positioning changes in transparent active equity ETFs before an earnings call are associated with the call’s nontextual vocal affect—the tone conveyed by how analysts and executives speak, rather than by the words in the transcript. The result is not evidence that buying stocks accumulated by a particular ETF is a dependable way to make money.
What the working paper found
The study, Positioned Before the Call: Active Equity ETF Trading and Earnings-Call Voice, is by Ziwei Zhao, Alan Huang, Russ Wermers and Jingyu Zhang. Zhao’s author research page identifies it as a working paper. The International Behavioural Finance Conference program, updated October 6, 2026, lists the paper in a 2026 session on investment funds, attention, trading and flows.
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Its central idea is unusual: because transparent active exchange-traded funds publish their portfolios every business day, an outside researcher can see discretionary institutional positioning before a company reports earnings. The authors then relate that observable positioning to acoustic characteristics of the subsequent earnings call.
The abstract reports that pre-call ETF positioning predicts vocal affect in both analyst questions and chief executive answers, after accounting for the tone of the transcript itself. It also says that the component of vocal affect linked to pre-call trading predicts abnormal stock returns after the call. That return relationship is concentrated in the post-call period, is absent in comparable periods without an earnings call, and is stronger when information uncertainty is high.
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Those statements describe statistical associations and predictive tests in a working paper. They do not establish that a named fund has a repeatable trading edge, that every accumulation signal is bullish, or that an individual investor can reproduce the reported returns.
How researchers can see a fund’s position before a call
Daily portfolio disclosure creates a short observation window
Unlike conventional mutual funds, transparent active ETFs publish their holdings every business day. That schedule lets researchers track changes in a fund’s weight in a company before the company’s scheduled earnings call. The working-paper abstract describes this as observing “discretionary institutional positioning” before the call.
ETF Daily’s October 6, 2026 account of the paper describes the key measure as net buying over the 15 trading days before the call. The measure uses flow-adjusted changes in portfolio weights. In practical terms, the adjustment attempts to separate a manager’s trading decision from changes caused simply by investors adding money to or withdrawing money from the ETF.
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A weight can change because the manager buys or sells a stock, because the stock price moves relative to the rest of the portfolio, or because the fund experiences creations and redemptions. A flow adjustment is intended to make the signal more about the manager’s allocation choice than about the fund’s size changing.
What the 15-day figure does—and does not—mean
The 15-trading-day interval is a method detail reported in secondary coverage, not a performance statistic. It does not mean the authors identified a universally optimal holding period, nor that a reader should copy trades made during that interval. The paper’s abstract and the conference listing do not provide the full sample dates, number of calls, coefficient estimates, confidence intervals or complete robustness tables.
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The timing also matters operationally. A fund may publish a holding after the market closes, while an earnings call can occur before the next disclosure. A researcher therefore needs to align disclosure dates, market trading days, the earnings release and the call time carefully. The working-paper abstract and ETF Daily’s account do not establish the exact timestamp convention used in the full study, so the 15-day description should be treated as the reported window rather than a complete replication recipe.
“Vocal affect” is more than transcript sentiment
The sound of the exchange
Vocal affect refers to nontextual emotion or attitude conveyed through speech. It can include cues such as pitch, intensity, speaking rate, pauses, emphasis and other acoustic patterns that make a speaker sound more confident, tense, enthusiastic or guarded. It is distinct from the positive or negative words that appear in a written transcript.
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Two parts of the call were examined
The abstract says the pre-call positioning relationship appears in vocal affect in analyst questions and in chief executive answers. These are different communication settings. Analysts control the questions they ask, while a chief executive responds under scrutiny and may signal confidence, concern or uncertainty through delivery. The finding therefore does not reduce to a single “call tone” score.
According to the author abstract, the relationship remains after conditioning on transcript tone. That qualification is important: the reported association is not simply a restatement that ETFs buy companies whose executives use positive words. The analysis seeks an incremental connection between positioning and the nontextual component of the exchange.
What the reported return result actually says
The authors’ abstract reports that the part of vocal affect associated with pre-call ETF trading predicts abnormal returns after the call. The relationship is concentrated in the post-call window, does not appear in comparable non-call periods, and is stronger when information uncertainty is high.
“Abnormal return” means performance measured relative to an expected or benchmark return, not a guaranteed profit. The statement also concerns the vocal-affect component associated with positioning, rather than a simple rule such as “buy every stock an active ETF adds.” ETF Daily’s account expressly notes that it does not report a return figure for the positioning itself.
No independently verified effect size, sample count, prediction accuracy or named statistic is available in the paper’s abstract or ETF Daily’s account. Without those details, readers cannot judge the economic magnitude, how often the signal works, how costly it is to trade, or whether the result survives different samples and model choices.
What may be driving the pattern
The trade-press account describes source tests intended to distinguish why ETF managers change positions from why analysts’ questions sound different. It reports that hard economic news and peer-firm earnings surprises are associated with ETF positioning, while peer analyst tone is associated with question affect.
This separation matters because a common underlying event could otherwise explain both the trade and the call. For example, information about an industry could lead an ETF manager to adjust a portfolio and also lead analysts to ask more upbeat or more skeptical questions. The reported tests suggest distinct inputs rather than one undifferentiated sentiment channel, but they are a secondary account of the authors’ tests, not a substitute for reading the full paper.
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The controls described in that account include transcript text tone, earnings surprises and stock-specific variables. Controls can reduce confounding, but they do not prove that ETF trading causes vocal affect. A manager may possess information not captured by the measured variables, and a company’s communications team, investor-relations process or call scheduling could influence both positioning and delivery.
Which ETFs were mentioned?
ETF Daily names the iShares U.S. Equity Factor Rotation Active ETF (ticker DYNF) and Capital Group Dividend Value ETF (ticker CGDV) as examples of large transparent active ETFs. They illustrate the type of fund whose daily holdings can be observed.
The examples are contextual, not recommendations. The paper’s abstract and ETF Daily’s account do not show that either fund generated the reported relationship on its own, supplied the entire sample, or outperformed because of this effect. No fund-specific ranking, trade list or performance comparison is established.
| Item | What the available material establishes |
|---|---|
| Study | Positioned Before the Call: Active Equity ETF Trading and Earnings-Call Voice |
| Authors | Ziwei Zhao, Alan Huang, Russ Wermers and Jingyu Zhang |
| Status | Working paper; also listed in a 2026 conference program updated October 6, 2026 |
| Position measure | Flow-adjusted net buying over the 15 trading days before a call, as described by ETF Daily |
| Outcome | Nontextual vocal affect in analyst questions and chief executive answers, conditional on transcript tone |
| Return finding | The positioning-linked vocal-affect component predicts post-call abnormal returns; the abstract reports concentration after calls and stronger results under high information uncertainty |
| Named ETF examples | DYNF and CGDV, presented as examples of transparent active ETFs |
Why this is not an investor-ready trading strategy
The disclosure is observable, but not necessarily timely
Daily holdings reports show a portfolio state, not an instantaneous order book. A disclosed change may reflect trades executed earlier, price movements between trades and disclosure, or administrative timing. By the time a reader detects a change, the information may be stale or the stock may have moved.
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The reported relationship combines a defined research measure, audio-based outcomes, controls and statistical tests. It does not specify a public rule for selecting one stock, setting a position size, choosing an entry price or exiting after the call. Turning the result into a strategy would require the full data, an out-of-sample design and realistic assumptions about spreads, commissions, taxes and market impact.
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One working paper is not a settled consensus
A working paper can change during review, and the available abstract does not include the sample size, dates, coefficients or full robustness evidence. The conference listing confirms presentation, not peer-reviewed publication or independent replication. Readers should treat the result as promising evidence to investigate, not as an established market law.
Audio analysis has its own measurement problems
Calls can differ in microphone quality, connection compression, speaker distance, room acoustics and interruptions. Analysts and executives may also vary in accent, speaking style and preparation. A vocal-affect model must handle those differences without confusing recording conditions with emotion. The paper’s abstract and ETF Daily’s account do not provide the model specification or validation statistics needed to assess those risks.
How to follow the idea responsibly
Readers interested in the finding can use it as a research framework rather than an automatic signal. A disciplined process would include:
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- Define the event. Record the scheduled earnings date and the precise call date and time for each company.
- Collect transparent holdings. Save daily portfolio files from relevant active ETFs and retain the publication timestamp. Do not infer a trade from a single weight change without checking prices, fund flows and corporate actions.
- Reconstruct the positioning measure. Apply the stated flow adjustment and the 15-trading-day window only if the full paper confirms the exact formula and timing conventions.
- Separate text from sound. Analyze transcript wording and acoustic delivery as different variables. A positive transcript score is not evidence of positive vocal affect.
- Pre-register decisions. Before viewing outcomes, specify the sample, controls, event window, transaction-cost assumptions and tests for non-call periods.
- Test out of sample. Reserve later calls or a separate group of companies for validation. Avoid changing the rule after seeing which signals worked.
- Check economic feasibility. Compare any hypothetical return with spreads, slippage, taxes, short-sale constraints and the delay between disclosure and execution.
This workflow can help distinguish a reproducible research result from a story built around a few memorable calls. It still does not turn the paper into personalized investment advice.
Questions the evidence leaves open
- How many companies, calls and ETFs were in the sample?
- What exact acoustic features and machine-learning or statistical model produced the vocal-affect measure?
- How large was the post-call abnormal return, and over what number of trading days?
- Did the result survive alternative flow adjustments, ETF exclusions, sector controls and different earnings-event definitions?
- How much of the signal would remain after realistic trading costs and disclosure delays?
- Does the relationship hold across market regimes, industries, accents, recording systems and types of earnings calls?
The paper’s abstract, ETF Daily’s account and the conference listing do not answer these questions. The full paper and its supplementary tables would be needed before making quantitative or implementation claims.
Bottom line for personal-finance readers
Transparent active ETFs may provide a rare window into institutional positioning before an earnings call, and the working paper reports that this positioning is linked to how analysts and chief executives sound. The reported post-call return association makes the result economically interesting, especially under high uncertainty, but it is not a promise that copying a fund’s holdings will produce a profit. Until sample details, effect sizes, robustness tests and replication are available, use the finding to understand market communication and design careful research—not as a standalone buy or sell signal.
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