The Meltdown (EP.16)

Episode Summary

Executive Summary: The episode centers on the abrupt early-2018 stock market correction, arguing that its speed—not just its 10% magnitude—made it feel exceptional. Michael and Ben discuss why diversification failed over a short window, why narratives about “machines” and macro data only partially explain the selloff, how younger investors and first-time market participants react emotionally, and why strategies like tail-risk funds and managed futures can disappoint in fast-moving corrections. They also touch on hedge fund fees, investor behavior, and several media/book recommendations.

Main Topics: The speed and psychology of the correction (Priority: 5/5): They argue that a 10% correction is normal, but the collapse from all-time highs in just nine days made it feel unprecedented and traumatic. The discussion emphasizes that market behavior is often driven by human panic and reflexive selling rather than a single clean explanation. Diversification failing over a very short horizon (Priority: 5/5): The hosts note that equities, long bonds, gold, broad bond indices, and managed futures all sold off together, leaving little shelter except cash. They frame this as a reminder that diversification is a long-term risk-management tool, not a guarantee over a few days. Narratives versus real causes of selloffs (Priority: 4/5): They debate whether rising interest rates and wage/inflation data triggered the decline, but conclude that while macro factors may have helped, the speed and severity were magnified by investor psychology and forced behavior. They reject overly tidy explanations involving algos, ETFs, and VIX products alone. Managed futures and tail-risk strategies (Priority: 4/5): The episode evaluates whether crisis-alpha products worked as intended. Tail-risk exposure performed well, but managed futures/CTAs were hurt because the selloff was too fast for trend-following strategies to adapt. They stress these strategies should be judged over longer periods. Investor experience, age, and behavior (Priority: 3/5): They discuss how young investors and inexperienced fund managers may react to their first real drawdown, but argue that panic is more about personality and temperament than years in markets. Experience can teach, but it can also harden bad beliefs. Hedge fund fees and marketing (Priority: 3/5): They highlight a Bloomberg piece suggesting a large share of hedge fund fees may go to marketing and sales rather than investment skill. The hosts say the industry survives partly because top firms are excellent storytellers and marketers. Personal habits, books, and media recommendations (Priority: 2/5): The back half shifts to recommendations: Deep Work, Thinking in Bets, American Made, The Ritual, and a podcast interview with a former CIA official. The hosts also admit their own distraction habits and limited ability to work in fully isolated, deep-focus mode.

Key Arguments: A 10% correction is common; what made this episode notable was how quickly it happened after an all-time high. Historical analogies are helpful but often misleading because markets rarely repeat in exactly the same way. In short windows, correlations can converge toward one, so even diversified portfolios may not protect against losses. Rising interest rates and wage/inflation data may have contributed to the selloff, but panic and human behavior amplified it far more than any single macro statistic. Managed futures and CTAs were not invalidated by the episode; they were simply too slow to react to a move that unfolded over days rather than weeks or months. Tail-risk funds are most useful when volatility spikes and markets gap lower, which is why TAIL’s positive performance stood out. Investors, especially younger ones, may benefit from experiencing bear-market pain earlier in their saving lives, before account balances become much larger. A significant portion of hedge fund fees may be driven by marketing/sales rather than pure investment value, helping explain the industry's persistence despite mediocre aggregate returns.

Data Points: Correction magnitude: 10% - Defined as the threshold for a correction; the S&P 500 had entered correction territory. Time from all-time high to correction: 9 days - Using closing prices, the Dow/S&P declined 10% in just nine days from an all-time high. S&P 500 decline: 8.75% - January 26 to February 9, using closing prices. Long bonds decline: 4.737% - Same period; bonds did not provide crisis protection. Gold decline: 2.6% - Same period; gold also failed to shelter investors. Bond index decline: 1.26% - Broad bond index performance during the correction window. Managed futures drawdown: 8% to 13% - CTA/managed futures strategies were hurt because the selloff was too fast for trends to reverse. TAIL performance: +4.66% - Meb Faber’s tail-risk product gained during the volatility spike. SPY outflow: $23.6 billion - Bloomberg cited a record weekly outflow from SPY, roughly 8% of the fund’s assets. SPY asset outflow share: 8% - The outflow amount was said to equal about 8% of assets. Bear markets/corrections since 1950: 34 - Count of double-digit corrections or bear markets reviewed by Bloomberg. Outside recession: 22 of 34 - Most corrections/bear markets occurred without a recession. Fund managers with limited experience: More than half with 9 years or less - Bloomberg data cited on manager tenure. 72? not used: - 1973-74 mutual fund outflows: 21 straight quarters - Investors pulled money from equity mutual funds for 21 consecutive quarters after the 1973-74 bear market. 1973-74 bear market decline: Close to 50% - Referenced as an example of investors panicking without machines or ETFs. 1946 bear market decline: Almost 27% - Post-World War II decline with no clear single cause. 1962 bear market decline: Close to 27% - Another historically abrupt selloff with unclear causation. 1987 Dow decline: 22.6% - Used as another comparison for fast and severe market dislocations. 1987 10-year Treasury yield: Around 10% - Illustrated how low current rates are by historical comparison. Millennial investor example: $33,000 to $19,000 - A New York Times anecdote about a 27-year-old whose portfolio fell more than 40% then rebounded to $24,000. Millennial investor drawdown: More than 40% - The cited individual’s portfolio decline in the correction. Rebound after drawdown: Back to $24,000 - The same portfolio recovered part of its losses by Wednesday.

Pivotal Quotes: "tops are a process, bottoms are an event" — Michael Batnik: Explaining why corrections usually feel different from one another and why this episode had a sharp 'V-top' feel. "there was really nowhere to hide" — Ben Carlson: Describing how nearly every major asset class sold off during the correction. "the speed, which I keep saying, just threw people off" — Ben Carlson: Summarizing why the correction felt more extreme than the size of the move alone would suggest.

Implications: Investors should expect normal corrections to feel abnormal when they happen quickly, avoid overconfidence in hedges, and judge strategies over appropriate time frames. The episode reinforces temperament, diversification, and long-term discipline over panic-driven reaction.