How financial products
are marketed.

Part 1 · Five tactics, five papers

Behavioral economics has a name and a model for each move in the financial-marketing playbook. Knowing the name is half the defense, once you can label "this is shrouding" or "this is salience," the pitch loses most of its grip.

1. Transference, borrowed credibility

A trustworthy logo, a celebrity, a "as seen on" badge, or a respected brand gets stapled onto a product, and your trust in the wrapper transfers to the thing inside it. A famous bank's name on a structured note makes the note feel safe; the bank's reputation was built on something else entirely. This is the halo effect, first documented by psychologist Edward Thorndike in 1920, where one positive trait bleeds into unrelated judgments.^[1]

2. Framing, the same number, dressed up

Amos Tversky and Daniel Kahneman showed in Science (1981) that logically identical choices produce different decisions depending purely on how they're worded, the "framing effect."^[2] In product marketing, the classic move is leading with "distribution yield" instead of total return. A fund paying out 12% "yield" sounds like it's making you 12%. But if the share price is bleeding to fund those payments, your total return, the only number that matters, can be far lower or negative. You are partly being handed your own capital back and told it's income.

3. Salience, the one number you can't stop looking at

Salience theory, formalized by Pedro Bordalo, Nicola Gennaioli, and Andrei Shleifer in the Quarterly Journal of Economics (2012), says decision-makers' attention is drawn to the most salient (vivid, contrasting, attention-grabbing) payoff, and they overweight it relative to its true probability.^[3] A lottery-ticket payoff or a fat headline yield is salient; the boring high probability of mediocre outcomes is not. Marketers engineer salience deliberately: the huge "up to 12%" in bold, the dramatic backtest, the single year the fund crushed it, all sized and colored to dominate your attention so the unglamorous base rate never registers.

4. Shrouding, the fees you never see

Xavier Gabaix and David Laibson's "shrouded attributes" paper in the Quarterly Journal of Economics (2006) is the canonical model of hidden fees.^[4] Their finding: in markets with some inattentive consumers, firms profit by advertising a low headline price and shrouding the expensive add-ons, and crucially, competition doesn't fix it. A rival who "unshrouds" by advertising the true all-in cost mostly just educates customers who then go buy the cheap base product elsewhere. So everyone keeps the fees hidden. Printer ink, hotel resort fees, and fund expense ratios all run this play verify×DON'T TRUST, VERIFYClaim: Gabaix & Laibson (2006) show that in competitive markets with some myopic consumers, firms shroud high add-on prices and competition fails to unshroud them.Verify at: QJE 121(2):505–540 ↗This is the foundational academic model for hidden-fee marketing. Confirm the citation and the core result before relying on it..

In finance the shrouded attributes are expense ratios, 12b-1 fees, bid-ask spreads, wrap fees, surrender charges, and the gap between gross and net return. A 1% annual fee sounds trivial and stays in the fine print, over 30 years it can quietly consume a quarter or more of your ending balance through lost compounding. The fee is shrouded precisely because, made salient, it would change your decision.

5. Complexity, obfuscation as a moat

When a product is too complicated to evaluate, you can't comparison-shop it, and that's the point. Economists call this obfuscation or confusion pricing: deliberately complex structures and incomparable terms that prevent the price competition that would otherwise drive margins toward zero. The follow-up literature to Gabaix-Laibson models firms adding complexity specifically to suppress comparison.^[5] Structured notes, indexed annuities, multi-share-class funds, and "buffered" ETFs are complex not because the complexity helps you, but because it stops you from seeing that a two-fund index portfolio would have done better.

Part 2 · The products, and the risk-adjusted reality

Now apply the lens. Each of these products is sold with the tactics above. Each has a documented risk-adjusted reality that the marketing works hard to obscure.

Covered-call ETFs (JEPI, QYLD type)

Sold on a fat "distribution yield", often 8% to 12%, that's pure framing and salience. The strategy sells call options on a stock index, collecting premium income but capping upside. In a rising market you keep the small premium and forfeit the gains that drive long-term returns. The income is partly a return of your own capital, which is why the share price erodes.

QYLD is the cautionary tale: over the ten years to mid-2026 it delivered roughly 155% total return (every distribution reinvested) while the Nasdaq-100 it writes calls against, tracked by QQQ, rose about 572% on price alone; QYLD's net asset value fell roughly 35% over the decade even as it paid its headline ~12% yield verify×DON'T TRUST, VERIFYClaim: Over ~10 years to mid-2026, QYLD returned ~155% on a total-return basis vs QQQ's ~572% price return, with QYLD's NAV down ~35%.Verify at: stockanalysis.com/etf/qyld ↗Compare QYLD total return and price/NAV against QQQ over a matched 10-year window on any fund data provider before relying on these figures.. The yield was salient; the total return was the fact.

Full breakdown, including why JEPI's actively-managed equity-linked-note structure differs from QYLD and where covered-call ETFs can have a narrow legitimate use, on Covered-Call ETFs.

Thematic ETFs (AI, robotics, clean energy, "disruption")

Thematic funds sell a story, AI, genomics, the metaverse, that is maximally salient and borrows credibility from a real technological trend. The story is usually true; the fund is usually a bad way to own it. Funds tend to launch after a theme is already hot and expensive, so investors buy near the top.

Morningstar's global thematic-fund research is brutal: more than two-thirds of thematic funds underperformed a broad global-equity index over the long run, and more than three in four thematic funds available 15 years ago have since been closed or merged away, with only single-digit percentages outperforming over a full 15-year window verify×DON'T TRUST, VERIFYClaim: Over 15 years, more than two-thirds of thematic funds underperformed a broad global index and over three-quarters were closed or merged, per Morningstar.Verify at: Morningstar ↗From Morningstar's Global Thematic Fund Landscape research. Confirm the survivorship and underperformance figures and the exact study window in the current report.. The high closure rate is itself survivorship bias in action, the failures vanish from the average. Financial-press coverage of the same data has run under headlines like "thematic ETFs disappoint."

More on launch timing, expense ratios, and why a total-market index already owns the winners on Thematic ETFs.

Private credit & private equity

Pitched as sophisticated, exclusive, and smoother than public markets. The smoothness is the trick: private assets are marked infrequently and subjectively, so reported volatility is artificially low. That's not lower risk, it's hidden risk, a complexity-and-shrouding combination wrapped in the transferred prestige of "institutional" access.

The IMF's April 2024 Global Financial Stability Report flagged a private-credit market that had grown to roughly $2.1 trillion and named its core vulnerabilities directly: fragile borrowers, layers of leverage, semi-liquid vehicles, and "stale and potentially subjective valuations" verify×DON'T TRUST, VERIFYClaim: The IMF's April 2024 GFSR put private credit near $2.1T and named "stale and potentially subjective valuations" among its key vulnerabilities.Verify at: IMF.org ↗Read the IMF blog and GFSR Chapter 2 directly to confirm the market-size figure and the verbatim list of vulnerabilities.. Add high carry-and-management fees (the classic "2 and 20" structure), lock-ups that prevent exit, and you have a product whose main feature, illiquidity, is sold as a benefit while the fees stay shrouded.

The full case, including why "low volatility" in private markets is an artifact of appraisal-based pricing, on Private Credit.

Margin & leverage

Leverage is sold on the salient upside, "amplify your returns", while the symmetric downside and the margin-call mechanics stay shrouded. Borrowing to invest multiplies gains and losses equally, but the loss case is worse than symmetric: a sharp drawdown can trigger a forced liquidation at the exact bottom, locking in a loss you'd have recovered if you could simply have held. Leveraged and inverse ETFs add daily-rebalancing decay on top, so they reliably underperform their stated multiple of the index over any extended period.

There is a narrow, defensible version, borrowing against a Bitcoin position at conservative loan-to-value to avoid a taxable sale, but it lives or dies on the LTV and your tolerance for a liquidation cascade. The mechanics, safe LTV bands, and liquidation math are on Borrowing Against Bitcoin.

Retail options trading

Marketed through "gamified" brokerage apps and influencer screenshots of life-changing single trades, peak salience. The losing trades are never posted, so the base rate stays invisible, and the bid-ask spreads and time decay that quietly drain accounts are shrouded inside the option's complexity.

The academic evidence is damning. The study "Losing is Optional," by Tim de Silva, Kevin Smith, and Eric So (published in Review of Finance, 2025, using Nasdaq data over January 2010 to February 2021), found retail option buyers lost on average 5% to 9% around earnings announcements, and 10% to 14% on the high-expected-volatility names they crowded into most verify×DON'T TRUST, VERIFYClaim: A peer-reviewed study found retail option buyers lost 5–9% on average around earnings, and 10–14% on high-expected-volatility announcements.Verify at: MIT Sloan ↗ · working paper PDF ↗Verify the loss ranges, authorship, and sample period against the MIT Sloan summary and the paper itself.. They overpaid relative to realized volatility and absorbed wide spreads, market makers, not retail traders, captured the difference. The plural of "I doubled my money on calls" is not "options are a good strategy."

For how to spot the influencers selling this, the screenshots, the "free" Discord that funnels to a paid course, the undisclosed PFOF incentives, see Financial Influencer Red Flags.

Related reading

See the glossary for plain-English definitions of every term used here, total return, distribution yield, expense ratio, illiquidity premium, and more.