The Psychology of Money Podcast

Saturday, October 11, 2025

Billionaire Investor Cliff Asness on Managing Risk, 'Buffer' ETFs and Mo...


Billionaire Investor Cliff Asness on Managing Risk, 'Buffer' ETFs and More | WSJ’s Take On the Week

Cliff Asness, the co-founder and Chief Investment Officer (CIO) of AQR Capital Management, is renowned as one of the world's foremost quantitative investors, responsible for bringing systematic, data-driven investment ideas and products to the global market. Known for his skeptical, evidence-based approach to complex financial instruments, Asness dedicated an episode of "WSJ's Take On the Week" to tackle critical topics, including risk management, market efficiency, and the booming market for structured products.

His foundational advice, even for experienced professionals, is surprisingly simple: "doing nothing is surprisingly often the right strategy". He emphasizes that resisting the emotional temptation to constantly tweak a portfolio, especially during tough times, is key to success.

This detailed analysis draws on Asness's critique of leveraged and hedged products, his views on modern market inefficiencies, and his advocacy for fundamental quantitative investment principles like diversification and risk parity.

The Explosion of Buffer ETFs and the Quantitative Rebuke

In recent years, the options market has undergone massive growth, shifting from an obscure niche to a mainstream activity fueled by platforms like Robinhood. This behavioral shift has coincided with an explosion in options-based exchange-traded funds (ETFs) and defined outcome strategies, often referred to as "Buffer ETFs" or "hedged equity ETFs". As of today, the total options trading related funds tracked by Morningstar exceed $230 billion.

These funds are heavily marketed with the promise of protection, assuring investors that they "can protect you from a market slide" and "will fall less than the market" during downturns. A typical Buffer ETF is designed to limit downside losses while capping upside gains over a predetermined period, usually one year, using structured options derivatives based on an underlying index like the S&P 500.

However, Asness and AQR are highly critical of these complex instruments, describing complicated hedging strategies as "too cute by half". They advise investors to be inherently cynical when someone suggests they can achieve most of the market's upside "without the scary part," because bearing risk—the "scary part"—is precisely "why you get paid" via the equity risk premium.

Empirical Failure Against Simple Alternatives

AQR's quantitative research directly compares these complex products to the simplest alternative: a combination of passive equities and cash.

A simple portfolio of 80% stocks and 20% cash reduces 20% of the downside risk while retaining 80% of the upside, following the classic investment advice recommended to previous generations. A compelling finding from AQR’s study of hedged equity funds with at least five years of performance history is that the vast majority failed to deliver either better returns or less severe drawdowns than a portfolio of cash and stocks. In fact, the majority of buffered funds underperformed the simple stock-and-cash mix and experienced larger drawdowns.

A comprehensive look at over 100 funds across the Derivative Income, Defined Outcome, and Options Trading – Equity Hedged categories showed that between January 2020 and April 2025, 86% delivered lower cumulative returns than their beta-matched stock/cash benchmark. Furthermore, 70% of all funds had both inferior returns and worse peak-to-trough drawdowns.

Even for the minority of Defined Outcome funds that did achieve a shallower drawdown than the benchmark (38% of the sample), the magnitude of the benefit was negligible (an average of +0.7% better protection) but came at a high cost, suffering a -7.3% reduction in cumulative returns on average—a tradeoff few investors would find attractive.

The Structural Costs of Complexity

The consistent underperformance of buffer funds is rooted in structural, non-obvious costs inherent to options-based strategies:

  1. Paying the Volatility Risk Premium: Strategies designed to reduce risk are often "long-volatility," meaning they are constantly paying the cost of options (insurance premiums). Consistently buying puts results in a negative expected return over the long term, known as the volatility risk premium, which acts as a permanent drag on returns.
  2. High Fees and Rollover Costs: Buffer funds typically impose higher expense ratios than simple index funds. Since options contracts expire, they must be rolled over repeatedly, incurring transaction costs that add up over time.
  3. Mismatched Payoffs: The theoretical "defined outcome" only applies to the exact date the underlying options are purchased and sold. An investor's experience on any other day—or over a different time horizon—can vary wildly, and evidence shows that realized protection is inconsistent in practice, with losses frequently exceeding expectations implied by the payoff diagrams.

Asness advises that for an equity investor facing a difficult market, the solution is not to use complex options strategies, especially since grinding bear markets (like the GFC or 2022) are the worst scenario for option-based strategies due to constantly increasing premiums. Instead, the advice is simple: "sell some stocks. Real simple," to reduce exposure directly.

Buffer Funds as a "Placebo Effect"

Given the strong empirical evidence against Buffer ETFs, their explosive growth presents a profound puzzle. Asness and AQR hypothesize that the industry thrives primarily due to the "placebo effect".

This theory posits that these products, although functionally ineffective compared to simpler alternatives, provide a psychological comfort to investors who deeply fear losses (a documented bias known as loss aversion). Investors, hoping to combat the urge to panic sell during downturns, purchase these funds. Since the majority of these funds offer both lower returns and higher risk (worse drawdowns) than a simple stock-and-cash combination, AQR concludes that they are more accurately described as a "costly placebo".

The Debate on Functionality

Proponents of Buffer ETFs argue that AQR’s analysis relying on a static stock/cash benchmark suffers from "hindsight bias" because matching the volatility of a buffer product requires constantly adjusting allocations (sometimes by 30% year-over-year), a feat impossible to achieve in real-time without accurate foresight. They emphasize that buffer products offer predictable, defined parameters, serving as an effective risk mitigation tool, particularly for conservative investors and retirees.

Furthermore, Buffer ETFs are positioned as an alternative to bonds, not just equities. They argue buffers offer higher upside potential than typically limited bond yields and proved more resilient than core bonds during the 2022 market downturn. They also point to a significant tax advantage, noting that buffer ETFs allow gains to be deferred until realization and taxed at lower long-term capital gains rates (23.8%), whereas cash equivalents like T-Bill interest are taxed annually at higher ordinary income rates (up to 40.8%).

However, AQR’s post-tax analysis confirmed that even when conservatively accounting for these tax benefits (assuming the highest marginal tax rate for cash income), the vast majority of buffer funds still delivered inferior cumulative returns compared to the simple, low-cost stock/cash benchmark.

Market Inefficiency in the Age of Social Media

Asness, a long-time proponent of quantitative analysis rooted in the Chicago school of economics (mentored by efficient markets hypothesis godfather Gene Fama), offered a surprising view on the current financial landscape: he believes markets have become "less efficient" or "more susceptible to bouts of extreme inefficiency".

He attributes this shift primarily to fundamental changes in investor behavior and market structure, rather than technology alone. While technology has made the rapid dissemination of short-term information highly efficient, the core voting mechanism that sets prices is being "poisoned" by social trends.

Asness highlights two key hypotheses:

  1. Passive Investing: The rise of passive investing means fewer people are actively conducting fundamental analysis, which can "loosen the bounds of rationality" and allow valuations to deviate more widely.
  2. Social Media and Gamification: The combination of 24/7 social media forums, gamified trading, and online "mob mentality" has exacerbated market volatility. He uses meme stocks as the most extreme example of this phenomenon, noting that stocks like Tesla and Palantir operate on a spectrum of being "cultish" and driven by online mobs who will vehemently oppose dissent.

He is especially critical of highly volatile products like single-day options, which he sees as unnecessary financial instruments. Asness compares the trading of these short-term, high-risk contracts to gambling on "FanDuels," noting that the implied volatility premiums make them "very bad deals" for the average player, enriching the brokers selling them instead. This merger of gambling, crypto, and stock markets means that market moves "might get more extreme".

Core Principles for Managing Risk

Asness’s quantitative philosophy provides clear guidance for long-term investors seeking to navigate these volatile and increasingly irrational markets:

1. Embrace Volatility

Asness urges investors to "Lean into volatility" because it is the "price of admission" required to capture long-term upside returns. Attempting to mask or hide volatility is futile. The goal should be to take an amount of volatility that is psychologically tolerable—avoiding excessive risk that would force an exit at a market low—while accepting that it is necessary for achieving the long-term equity premium.

2. Diversification and Fighting the Last War

Diversification is a non-negotiable component of successful investing: "Diversification always works". Asness cautions investors who focus solely on the massive outperformance of U.S. large cap equities over the past decade, suggesting they are "fighting the last war". Since U.S. markets are now substantially more expensive than global counterparts, expecting them to continue crushing the world is "very naive".

3. Risk Parity and Managed Leverage

Risk Parity is a strategic allocation method that prioritizes balancing asset allocation by risk, rather than by the dollar amount invested. Because equities are much riskier than bonds, a 60/40 stock/bond portfolio is actually heavily concentrated in equity risk (about 90% of the risk budget).

The risk parity approach seeks a better diversified portfolio that avoids this concentration. To achieve higher overall returns (often comparable to a traditional equity-heavy portfolio), risk parity uses modest, managed leverage on the entire diversified portfolio (equities, bonds, commodities). Asness argues that modest leverage, used to balance and amplify returns, is a "better risk to take" than the inherent, unmanageable risk of concentration in volatile assets.

4. Low-Risk Anomalies (Betting Against Beta)

The empirical finding that safer, low-beta stocks deliver superior risk-adjusted returns (the low-risk anomaly) provides an opportunity. AQR’s specific strategy, Betting Against Beta (BAB), constructs a market-neutral portfolio that is long low-beta stocks (leveraged to a beta of 1) and short high-beta stocks (deleveraged to a beta of 1).

Crucially, AQR’s research demonstrates that the success of this strategy is not driven by industry tilts (e.g., being consistently long "safe" sectors like utilities or banks). In fact, the most effective approach is the industry-neutral BAB strategy, which performs strongest by balancing long and short positions within each individual industry. This refutes the common misconception that low-risk investing is primarily an industry bet.

Conclusion: Staying Disciplined in a Frothy World

Asness notes that the biggest immediate risk to markets is the bind facing the Federal Reserve, which must contend with an economy showing "a little slowing" while inflation remains elevated, limiting their ability to cut rates.

He concludes by reiterating the critical lesson for investors: the current market froth, driven by "mob psychology and bigger moves," creates uncertainty about whether the eventual correction will be a slow, grinding decline ("ice") or a sharp, sudden collapse ("fire"). The discipline to stick to a process, embrace volatility, and prioritize simple, evidence-based diversification—rather than chasing the illusion of complexity sold by Wall Street—remains the most reliable path to long-term financial success.

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