Episode 349 – AMA #4

Episode Summary

Executive Summary: The AMA centers on practical investing tradeoffs: factor tilts vs. plain market-cap indexing, how to handle sunk-cost losing positions, the real role of bonds in portfolios, retirement withdrawal rules, and expectations for future returns. The hosts consistently emphasize simplicity, behavior, and alignment with client expectations over theoretical optimization, while citing research and real-world advisory experience.

Main Topics: Factor tilts vs. market-cap indexing (Priority: 5/5): A long discussion comparing globally diversified market-cap portfolios with factor-tilted portfolios. Ben and Dan agree both are evidence-based, but differ in personal preference and client-fit: Ben prioritizes simplicity if DIY, while Dan favors market-cap ETF simplicity and consistency in client messaging; both stress tracking error and expectations. Psychology of selling losing investments (Priority: 4/5): The hosts answer how to deal with permanent losses and the reluctance to sell. They recommend reframing the question as whether you'd buy the asset today with cash, and if needed, using a staged exit (dollar-cost averaging out) to reduce regret and emotional resistance. The role of bonds and fixed income (Priority: 5/5): They argue bonds are mainly for behavioral stability and short-term spending needs, not for maximizing long-term return. Scott Cederberg’s research is discussed, but the hosts emphasize that the practical value of bonds is helping investors avoid bad decisions and smoothing retirement cash flow. Safe withdrawal rates and retirement spending (Priority: 5/5): The conversation revisits the 4% rule, variable withdrawals, and amortization-based spending. The hosts say 4% is a useful heuristic but not a complete retirement plan, and that variable spending or cash buffers can improve sustainability and comfort, especially in retirement. Expected returns for millennials and long horizons (Priority: 4/5): The hosts push back on the idea that 10% annualized returns are a realistic planning assumption. They cite their own planning assumptions and historical evidence to suggest lower expected returns, especially for globally diversified portfolios. Cash holdings, bonds, and corporate finance analogies (Priority: 3/5): They discuss why large companies hold cash in T-bills and why that should not be directly compared to personal portfolios. Corporate cash may reflect operational needs, agency conflicts, or investment opportunities, rather than a household-level investing template. Client/advisor communication and industry incentives (Priority: 4/5): The hosts explain that investors and advisors who expect stock-picking may be hard to convert. They argue that their content attracts clients aligned with their philosophy, and that planning, tax efficiency, and behavioral coaching are the real sources of advisor value.

Key Arguments: Globally diversified market-cap indexing is a fully valid evidence-based strategy, and factor tilts are also valid; the key differentiator is implementation complexity and tracking error tolerance. If you wouldn’t buy an asset with cash today, you probably shouldn’t keep holding it just because you’re down on it; staged selling can reduce regret. Bonds are not primarily return enhancers; their real value is behavioral and cash-flow protection, especially in drawdown and retirement phases. Sequence-of-returns risk is often better framed as sequence-of-withdrawals risk, because flexible spending rules can materially improve sustainability. A 10% expected annual return is too optimistic for planning; long-run global equity expectations should be lower and anchored in historical data plus current valuations. Advisors add more value through financial planning, tax management, asset location, and discipline than through security selection. Client expectations matter enormously: a portfolio strategy can be “right” in theory but fail in practice if it surprises investors or conflicts with what they were told to expect. Corporate cash piles should not be used as a household investing model because corporations face different constraints, objectives, and agency problems.

Data Points: AMA bank remaining: about 80 original questions + about 60 new submissions - The hosts note they still have a large question bank for future AMA episodes. Tracking error experience: ~5 percentage points - Ben references client frustration during underperformance periods in factor-tilted portfolios. PWL client fit for 100% equity: ~20% - Dan estimates only a small minority of his clients have acceptable scores for 100% equity allocations. Safe withdrawal rate (DMS data, 70/30 portfolio): 3.5% - Ben cites historical analysis for a 30-year retirement horizon. Safe withdrawal rate (40-year horizon): 3.1% - Ben cites the withdrawal rate needed to keep failure probability around 4%. Amortization-based spending: 3.7% worst-case average; 17,000 lowest year - Variable spending can raise average spend but create large year-to-year swings. Historical equity expected return assumption: 6.86% annualized - PWL’s current planning assumption for a market-cap-weighted global equity portfolio. Common rule-of-thumb expected return: 5% above inflation - Discussed as a rough heuristic and compared to planning assumptions. SPIVA Canadian equity underperformance (10-year): 95.5% - Percent of Canadian equity funds that failed to beat the TSX composite benchmark over 10 years. SPIVA Canadian-focused equity underperformance (10-year): 100% - All funds in the category failed to beat their benchmark over 10 years. SPTSX composite 10-year return: 8.65% - Benchmark return cited from the SPIVA Canada report. Canadian equity funds asset-weighted 10-year return: 6.91% - Average fund return cited from the same report, net of fees. S&P 500 10-year return: 15.58% - Benchmark return cited from the SPIVA report for U.S. large-cap stocks. U.S. equity funds asset-weighted 10-year return: 11.38% - Average U.S. fund return cited from SPIVA, net of fees. Bonds with negative real 10-year outcomes: 30% - From Scott Cederberg’s research on long-horizon asset returns. Domestic stock negative real 10-year outcomes: 22% - Compared with bonds and international stocks in the same research. International stock negative real 10-year outcomes: 18% - Compared with bonds and domestic stocks in the same research. Correlation monthly vs 30-year horizon: 0.18 vs 0.46 - Cederberg research showing stock-bond correlation rises over longer horizons. Fixed-income cash buffer: 2–3 years or more - Dan’s practical recommendation for retirees drawing down portfolios. Savings in optimal all-equity/valuations-conditioned case: 9.7% vs 10.0% - Cederberg paper result showing only modest utility gain from slight bond allocation at high valuations. Index fund underperformance from benchmark: tiny, near MER - The hosts note index funds lag benchmarks by their costs, unlike active funds that can lag materially more.

Pivotal Quotes: "The biggest risk in factor investing is probably tracking error and not being able to stick with it when it doesn't perform well." — Dan: Summarizing why factor tilts can be behaviorally difficult despite being evidence-based. "Bonds are in there to control short-term behavior." — Ben: Explaining the primary role of fixed income in portfolios and retirement planning. "Sequence of returns risk is better described as sequence of withdrawals risk." — Mark: Framing retirement risk as a spending problem as much as an investing problem.

Implications: Listeners are encouraged to prioritize simplicity, expected behavior under stress, and clear goals over portfolio complexity. For advisors, aligning strategy with client expectations and focusing on planning/taxes may matter more than chasing marginal return advantages.