The Big Long: Risk and Reward With Ben Carlson

Episode Summary

Executive Summary: Bloomberg’s Trillions features Ben Carlson discussing his book "Risk and Reward" and the launch of his rules-based ETF, GTND. The conversation centers on long-term investing, the psychology of risk, why even terrible market timing can still produce strong results over decades, and how diversification, buffers, and “fun accounts” help investors stay disciplined.

Main Topics: Long-term investing beats market timing (Priority: 5/5): Carlson argues that investors obsess too much over short-term entry points and exceptions, while time horizon is the dominant determinant of outcomes. Even buying at terrible moments can still compound well over decades. Behavior over brilliance (Priority: 5/5): A major theme is that investing success is driven more by temperament and process than by IQ. Carlson emphasizes understanding one’s emotional makeup and designing portfolios that people can actually hold through volatility. Diversification and portfolio construction (Priority: 4/5): The discussion broadens beyond stocks and bonds to geographic diversification, T-bills, TIPS, and alternative structures. The goal is to match assets to specific portfolio jobs and reduce single-point failures. Buffer ETFs and downside protection (Priority: 4/5): The hosts and Carlson discuss buffer ETFs as a behavioral solution for investors anxious after 2022’s stock-bond drawdown. These products trade away some upside in exchange for a defined range of outcomes. The role of “fun accounts” and speculation (Priority: 4/5): Carlson supports quarantining speculative activity into a small sleeve of the portfolio so investors can scratch the itch for risk without endangering core wealth. This is framed as a behavioral hack rather than pure gambling. Goaltender ETF and trend-following (Priority: 4/5): Carlson explains the launch of GTND, a rules-based ETF that uses trend signals to shift defensively or offensively. The ETF structure improves tax efficiency versus a separately managed account. U.S. market dominance and international diversification (Priority: 3/5): The conversation touches on why U.S. equities have outperformed and whether that can continue. Carlson notes the U.S. remains the majority of global market cap but sees AI and global entrepreneurship as potential equalizers.

Key Arguments: Long-term results matter more than perfect timing; even buying at peaks and holding can still create wealth over decades. Dollar-cost averaging is generally superior to waiting for the perfect bottom, because no one times markets perfectly. Investors should define risk by their life stage: young investors can use volatility as an asset-building opportunity, while retirees must protect financial capital. Diversification is the closest thing to a free lunch in investing, but it must include asset class, geography, market cap, strategy, and sometimes bond subcategories. Bonds are not automatically safe; 2022 showed that rising rates can make bond ETFs fall sharply, so investors may need T-bills, TIPS, or other duration tools. Buffer ETFs are useful for anxiety management because they define upside and downside ranges, even though they sacrifice some return. A small speculative sleeve can help investors stay disciplined by isolating risky behavior instead of letting it infect the whole portfolio. Trend-following can serve as a rules-based defensive overlay, especially when wrapped in an ETF for tax efficiency. The ETF industry is increasingly about tax alpha and behavioral design, not just beating benchmarks on gross returns.

Data Points: ETF assets: close to $100 billion - Buffer ETFs have grown rapidly and are described as nearing this scale in assets under management. Great wealth transfer in classic cars: $570 billion - Mentioned in a promotional intro before the podcast segment. Positive return probability for 60/40 portfolio over 1 month: 64% - Stat cited to contrast short-horizon uncertainty with long-horizon reliability. Positive return probability for 60/40 portfolio over 5 years: 95% - Used to show how probability of gains improves with time. Positive return probability for 60/40 portfolio over 10 years: 100% - Illustrates the power of time horizon for diversified portfolios. Worst starting point in U.S. stock market history: September 1929 - Carlson’s chart shows this as the worst initial month for a 30-year investor in the U.S. market. Great Depression drawdown: -86% - The S&P 500 fell this much after the September 1929 starting point. 30-year total return from September 1929: 850% - Even the worst 30-year U.S. stock-market start still produced this gain with dividends reinvested. 30-year annualized return from September 1929: 7.8% - The worst 30-year annualized return in the U.S. stock market history cited in the book. Best 30-year annualized return: ~15% - Starting near the 1932 bottom produced the best 30-year result in the cited dataset. Japan’s weight in global market cap in 1989: 45% - Used to show how dominant a market can become and then mean-revert dramatically. Current U.S. share of global market cap: 60-65% - Presented as a reasonable baseline for global diversification decisions. Behavioral allocation size for speculation: 5-10% - Carlson suggests a small 'fun account' or cowboy account for speculative activity. Risk sleeve in GTND strategy: 10-20% - He says client portfolios may allocate this amount to trend-following as a defensive overlay.

Pivotal Quotes: "“There is no free lunch in investing, but diversification is pretty darn close.”" — Ben Carlson: On portfolio construction and managing risk across asset classes and strategies. "“Some people need a release valve.”" — Ben Carlson: Explaining why a small speculative or 'fun account' can help investors stay disciplined. "“The worst 30-year return you could have gotten in the S&P 500... was roughly 8% per year.”" — Ben Carlson: Illustrating the power of time horizon even after catastrophic market declines.

Implications: Listeners should focus less on prediction and more on structure: time horizon, diversification, and behavior. For the industry, the future looks more rules-based, tax-aware, and psychologically engineered for investor success.