Money & Behaviour: Understanding Investing from a Psychological Perspective with Daniel Crosby (EP.75)

Episode Summary

Executive Summary: Dr. Daniel Crosby argues that humans are deeply irrational with money, but not irrational in context: biases, emotion, and social influence often drive behavior, yet can be harnessed for good through automation, good advice, and values-based cues. He strongly supports financial advice, warns against overconfidence, highlights the behavioral core of durable factors, and frames success as time with family and freedom.

Main Topics: Human irrationality and behavioral context (Priority: 5/5): Crosby says people are not economically rational, but their decisions make sense when viewed through their personal history and context. Good advice begins with humane understanding rather than judgment. Using emotion and defaults for good (Priority: 5/5): Rather than trying to eliminate emotion entirely, he argues investors can redirect it through tools like auto-enrollment, auto-escalation, and value-based prompts that make saving and good behavior easier. Value of financial advice (Priority: 5/5): He cites research showing advisors improve returns, behavior, and well-being, mainly by preventing catastrophic mistakes, reducing emotional reactions, and improving portfolio discipline. Overconfidence and investor behavior (Priority: 5/5): Overconfidence is presented as the root behavioral bias that enables others. It helps in life and entrepreneurship, but becomes dangerous in investing because it makes people think they are exceptions to the rules. Simplicity, herd effects, and behavioral risk (Priority: 4/5): He argues investing is one domain where more activity often hurts. People copy others to reduce cognitive load, which affects both portfolio choices and willingness to seek professional help. Behavioral risk is more important than volatility for long-term investors. Factors, theory, and empirical discipline (Priority: 4/5): Crosby says durable factors need empirical evidence, philosophical sense, and a behavioral explanation. Spurious correlations are common, so theory is essential to avoid overfitting and to explain why factors like value endure. FIRE, work, and retirement satisfaction (Priority: 4/5): He supports the saving/minimalism side of FIRE but criticizes the idea that work is inherently soul-sucking. He argues retirement plans should preserve engagement, advancement, and meaningful activity.

Key Arguments: Humans are not rational maximizers in finance, but their mistakes are understandable when viewed in context. Emotion can be harmful in investing, but it can also be used constructively when linked to values and loved ones. Auto-enrollment and auto-escalation work because they exploit status quo bias for good. Financial advice can add meaningful value by improving decisions, increasing peace of mind, and preventing ruinous errors. Overconfidence is the master bias: it fuels entrepreneurship and happiness, but it is dangerous for investing. Investing often rewards doing less: checking accounts, consuming financial news, and frequent trading can worsen outcomes. Behavioral risk can dominate volatility risk over long horizons because a perfect portfolio is useless if the investor panics or acts impulsively. Enduring investment factors need a behavioral explanation in addition to statistical evidence; otherwise, they may be data-mined noise. The best use of retirement is not idleness but a mix of autonomy, engagement, and progress, even if that means non-corporate work.

Data Points: Advisor outperformance: 2% to 3% per year - Crosby cites studies suggesting clients working with financial professionals outperform non-clients on average. Wealth advantage with advisor: 2.73x wealth - He references Canadian research showing long-term advisor relationships are associated with much higher wealth. Diversified portfolio expected return: 7% to 8% per year - Used as a benchmark to show how meaningful a 2% to 3% advice benefit can be. Save More Tomorrow program effect: 200% more likely to save - Parents who looked at a picture of their children for five seconds before a financial decision were far more likely to save. Brain weight share: 2% to 3% of body weight - He notes the brain is small relative to the body. Brain calorie use: 25% of daily calories - Used to explain why people offload cognition and follow others. Businesses that fail: 90% - He uses entrepreneurship as an example of socially useful overconfidence despite high failure rates. Men surveyed on self-perception: 100% friendlier than average; 95% smarter than average; 94% more athletic than average - Crosby cites this as evidence of widespread overconfidence. Active trader underperformance: 6.5% less per year - Most active traders underperformed the least active traders across 19 countries. Canadian equity market share: 4% to 5% of the world market - Used to explain home-country bias risk among Canadian investors. Behavioral study on cars and stopping: Nicer cars stopped less often - Illustrates a possible link between wealth, entitlement, and reduced prosocial behavior. Humans in FIRE category: 10% can do it themselves; 10% are degenerate gamblers; 80% need advice - He relays Morgan Housel's rough segmentation of investor types. Fed data releases: 45,000 pieces of economic data per year - Used to warn about spurious correlations and overfitting. Correlation example: 96% correlation - He cites a nonsensical historical correlation between S&P 500 moves and butter production in Bangladesh.

Pivotal Quotes: "If we see the world as it is, we wouldn't be nearly as happy as we are." — Cameron Passmore quoting Daniel Crosby: During discussion of overconfidence and why humans are not fully rational. "Risk is not a squiggly line." — Daniel Crosby: His argument that volatility is an incomplete proxy for risk, especially over long horizons. "Price is what you pay, value is what you get." — Daniel Crosby quoting Warren Buffett: Used to frame the value proposition of financial advice despite its cost.

Implications: Investors should focus less on prediction and more on behavior: automate good habits, seek competent advice, resist overconfidence, and choose simple evidence-based strategies. Advisors add value mainly by preventing mistakes and supporting better life outcomes.