TIP455: Indicators for Crisis Investing w/ Dan Rasmussen

Episode Summary

Executive Summary: Dan Rasmussen argues that high-yield credit spreads are a superior real-time barometer of macro stress than the Fed funds rate or DCF-style forecasting. He frames the market as late-cycle, with spreads wide and rising, growth slowing, and recession risk elevated, while emphasizing that crises create the clearest and most exploitable investing opportunities.

Main Topics: High-yield spreads as the key macro indicator (Priority: 5/5): Rasmussen explains why high-yield spreads capture the cost of marginal borrowing, signal default risk, and reveal when credit is tightening or easing across the economy. Crisis investing and the financial accelerator (Priority: 5/5): He argues that crises are identifiable ex post and that once spreads blow out, feedback loops intensify downturns, creating unusually strong signals and opportunities. Why interest rates are a weak standalone signal (Priority: 4/5): He contends that rising or falling policy rates mostly reflect economic conditions rather than predict them, so they are poor broad asset-price predictors except when compared to the Taylor rule. Critique of discounted cash flow models (Priority: 4/5): Rasmussen says DCFs overstate certainty by pretending future cash flows and risk can be forecast precisely, when in reality forecasting is too uncertain and often biased. Four-quadrant growth/inflation framework (Priority: 4/5): He maps assets to growth and inflation regimes and uses spreads as a proxy to identify whether the economy is in inflationary/deflationary and growth-improving/declining conditions. Small-cap value and crisis behavior (Priority: 4/5): He argues small-cap value is compelling over long horizons and especially after crises, but it can underperform for long stretches and requires quality screens to avoid bankruptcies. Bias control and quantitative discipline (Priority: 4/5): He emphasizes making investing frameworks explicit, testing them broadly, and preferring simple robust signals over complex models that invite confirmation bias.

Key Arguments: High-yield spreads reflect the pricing of marginal borrowers and thus reveal how banks and credit markets view default risk. When spreads rise above their long-term/10-year median, financial conditions are becoming restrictive and the environment is riskier for assets and the real economy. A spread above roughly 600 basis points signals true capitulation and crisis conditions; at that point, markets often freeze and drawdowns can deepen sharply. Direction matters as much as level: widening spreads are contractionary/deflationary, while tightening spreads are stimulative/inflationary. The Fed funds rate by itself is not a strong predictive variable for asset returns because the Fed usually raises rates in good times and cuts in bad times. The gap between the Taylor rule and actual policy rates matters more than the rate level; large gaps have historically been associated with poor fixed-income outcomes. DCF models are dangerous because they convert unknowable future assumptions into false precision, reinforcing existing biases rather than reducing uncertainty. Markets exhibit excess volatility because investors hold multiple plausible but conflicting forecasts, not because fundamentals alone justify the moves. Crisis periods are unusually useful because they provide clearer regime identification, and many factors work better when panic and liquidation are obvious. Small-cap value is a long-run premium strategy, but its edge is strongest when avoiding bankruptcies and buying cheap cyclicals that can mean-revert after recessions. Japanese small-cap value is especially attractive in his view because Japan has a large small-cap market, low valuations, and comparatively low bankruptcy risk. March 2020 illustrated the framework: spreads surged into crisis territory, then collapsed quickly, signaling recovery and a favorable setup for value and small caps. Tech was an exception during COVID because the pandemic accelerated digital adoption, allowing growth stocks to outperform even in a recessionary shock.

Data Points: High-yield spread today: ~470 bps - Used as evidence that credit conditions are already restrictive versus the long-term average. 10-year median high-yield spread: ~420 bps - Benchmark used to judge whether spreads are tight or wide. Crisis/capitulation threshold: ~600 bps - Rasmussen’s approximate level for true crisis and market panic. 2008-2009 high-yield spread peak: over 2,000 bps - Example of full market freeze during the financial crisis. Probability of recovery vs downside risk: ~55% recovery / 45% non-linear downside - His estimate for the near-term market outlook when spreads are elevated. Average S&P 500 correction: ~14% - Referenced in discussion of how close markets may be to a typical correction threshold. Current S&P 500 drawdown discussed: ~15% - Used as a comparison point for whether markets might bounce or roll over. Taylor rule gap periods: Early 2000s and 1970s - Historical periods when the gap between policy rates and the Taylor rule was similarly wide. Market volatility vs theoretical value: ~20x more volatile - Schiller reference used to argue that fundamentals and rates explain only a fraction of price movement. High-yield spread level during COVID crisis: 10 to 10.5 (roughly 1,000 to 1,050 bps) - Illustrates the extreme stress reached in March 2020. Value of the Kelly-like insight in crisis: Factors work better during crises - He cites academic findings that quantitative factors have enhanced predictability in panic periods. Scope of sponsor references: Multiple ad breaks - Not analytically relevant; omitted from conclusions.

Pivotal Quotes: "When the high yield spread rises above that 10-year median, you're in a pretty risky place." — Dan Rasmussen: He defines the spread level relative to its long-run median as an early warning sign. "They replace uncertainty with certainty. They replace rightful caution with some level of informed overconfidence." — Dan Rasmussen: His critique of discounted cash flow models and over-precise forecasting. "The financial accelerator could be happening." — Dan Rasmussen: He describes how tightening credit conditions can reinforce and magnify economic slowdowns.

Implications: Listeners should focus less on Fed headlines and more on credit spreads, trend, and regime changes. For investors, the message is to favor simple, robust, crisis-aware frameworks and be prepared for long underperformance punctuated by strong mean reversion.