Panic a Little (EP.53)

Episode Summary

Executive Summary: The episode argues that market volatility tends to amplify itself, making corrections emotionally and statistically harder to navigate than bull markets. The hosts connect that framework to strong but backward-looking economic data, stretched earnings expectations, housing weakness, bond-fund outflows, and investor psychology around cash, diversification, and asset allocation.

Main Topics: Volatility begets volatility (Priority: 5/5): The hosts emphasize a near-iron-law of markets: when markets get turbulent, both downside and upside swings widen, making corrections more chaotic and emotionally taxing than steady bull markets. Economy remains strong while stocks struggle (Priority: 5/5): They contrast strong GDP and earnings growth with falling stocks, stressing that economic data are backward-looking while markets discount expectations ahead of time. Expectations are too high for earnings and growth stocks (Priority: 5/5): Even companies that beat EPS estimates are being punished because the market had priced in exceptional results, showing how hard it is to judge what is already embedded in valuations. Investor psychology in corrections and cash (Priority: 4/5): They discuss why it is difficult to deploy cash during selloffs, noting that holding cash feels safe and can make it harder to buy even when expected returns improve. Rules-based investing and automation (Priority: 4/5): The hosts advocate systematic investing, including automated deposits and adjustable asset allocation, as a way to reduce emotional decision-making during downturns. Bonds, annuities, and product misuse (Priority: 4/5): They note that investors often sell bonds as yields rise even though expected returns improve, and criticize how annuities are marketed through fear and sales incentives rather than suitability. Inequality and mobility debate (Priority: 3/5): A discussion of Russ Roberts’ work challenges the simplistic narrative that all gains go to the top 1%, arguing that looking at individuals and families over time shows substantial mobility.

Key Arguments: Volatility tends to create both larger losses and larger rebounds in down markets, so corrections are harder to endure than the smoother gains of bull markets. Strong GDP and earnings data do not necessarily support stocks in real time because markets react to future expectations, not just current fundamentals. Beating EPS is no longer enough when expectations are extreme; even small revenue misses can trigger negative price reactions. Cash feels comfortable during drawdowns, which is exactly why investors often fail to buy when valuations improve. A rules-based process or automated deposits can help investors stay invested and reduce emotional errors. Bond investors often sell at the wrong time because they treat bonds like cash, even though rising yields increase forward returns. Income snapshots by percentile can mislead; longitudinal studies of actual people show much greater upward mobility than static inequality narratives suggest. A diversified global portfolio is meant to reduce catastrophic country-specific outcomes, not guarantee higher returns every decade. Annuities can be legitimate insurance products, but their sales tactics and fee structures often distort consumer decision-making.

Data Points: Q3 GDP growth: 3.5% annualized - Used as evidence that the economy was strong even as stocks were struggling. S&P 500 firms beating EPS estimates: About 80% - Earnings season showed broad profit beats despite market disappointment. S&P 500 firms missing revenue estimates: More than one-third - Sales results were more mixed than earnings beats. Average next-day price move for EPS beaters: -1.5% - Faxed chart cited to show that positive EPS surprises were being sold off more than usual in Q3 2018. Average up day in a bear market: 1.1% - Compared with bull markets, showing larger rebounds during stressful periods. Average up day in a bull market: 0.65% - Used to illustrate calmer price action in rising markets. GDP component note: Defense spending rose at its fastest pace since 2009 - Mentioned from a Wall Street Journal breakdown of GDP components. Labor market condition: 3.7% unemployment rate - Referenced in the diner anecdote about labor shortages. Historical correction duration: 132 days average peak-to-trough - For double-digit declines that stopped before a bear market, based on data back to 1928. Probability after a 10% stock decline: Roughly 60% did not fall further than 20% - Used to frame expectations for market corrections versus bear markets. Betterment customers using automated deposits: 60% - Cited as an example of rules-based investing that reduces emotional behavior. Betterment customer base: About 400,000 customers - Shown as evidence that robo-advisors serve a smaller-account segment ignored by traditional advisors. Average Betterment account size: $40,000 - Illustrates the underserved market Betterment targets. Piketty-style income statistic: Bottom 50% average pre-tax income: $16,000 in 1980 vs. $16,200 in 2014 dollars - Used to present the static-snapshot inequality argument. Mobility study: 70% of children born in 1980 into the bottom decile exceeded parents’ income in 2014 - Supports the argument that mobility is higher than snapshot inequality measures imply. Mobility study for top decile: 33% exceeded parents’ income - Shows lower but still meaningful income mobility at the top. Housing data misses: Existing home sales missed for 6 straight months; new home sales missed for 4 straight months - Used to show weakening housing data relative to expectations. Housing starts and permits: Weaker than expected in 3 of the last 4 months - Part of the broader housing slowdown discussion. Bond fund outflows: $23.6 billion pulled through Oct. 19 - Illustrates investors selling bonds during a period when expected returns were rising.

Pivotal Quotes: "Volatility begets volatility in the markets." — Ben Carlson: Core thesis for why bad markets produce larger swings in both directions. "Accurately predicting what the stock market will do next year is impossible, inaccurately predicting it is easy." — Jack Ho (quoted by Michael Batnick): Used to underline the uncertainty and hubris involved in market forecasting. "If the Dow Jones Industrial Average were to drop, say, another 3,000 points in a hurry, would you dump everything? If so, consider quietly panicking now, just a little, while other investors are buying on the dips." — Jack Ho (quoted by Michael Batnick): Advice to assess your true risk tolerance before a deeper drawdown forces a bad decision.

Implications: Listeners should expect sharper swings in corrections and plan accordingly with diversification, automation, and realistic allocation choices. The episode suggests markets are pricing perfection, so disciplined process matters more than headlines or emotions.