Despite decades of evidence, there is no agreement on why factors like "value" (cheap stocks outperforming) work. The debate is split between rational risk-based explanations (Fama's view that they are inherently riskier) and behavioral ones (Shiller's view that investors make systematic errors). This uncertainty persists at the core of quant investing.
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Counter to conventional value investing wisdom, a low Price-to-Earnings (P/E) ratio is often a "value trap" that exists for a valid, negative reason. A high P/E, conversely, is a more reliable indicator that a stock may be overvalued and worth selling. This suggests avoiding cheap stocks is more important than simply finding them.
Traditional valuation metrics ignore the most critical drivers of success: leadership, brand, and culture. These unquantifiable assets are not on the balance sheet, causing the best companies to appear perpetually overvalued to conventional analysts. This perceived mispricing creates the investment opportunity.
Post-mortems of bad investments reveal the cause is never a calculation error but always a psychological bias or emotional trap. Sequoia catalogs ~40 of these, including failing to separate the emotional 'thrill of the chase' from the clinical, objective assessment required for sound decision-making.
To achieve above-average investment returns, one cannot simply follow the crowd. True alpha comes from contrarian thinking—making investments that conventional wisdom deems wrong. Rubenstein notes the primary barrier is psychological: overcoming the innate human desire to be liked and the fear of being told you're 'stupid' by your peers.
Traditional value metrics don't apply to crypto. However, an "intangible value" factor can be constructed by analyzing fundamental on-chain data—such as developer commits on GitHub, daily active wallets, and transaction volume—to identify undervalued projects.
The primary driver of market fluctuations is the dramatic shift in attitudes toward risk. In good times, investors become risk-tolerant and chase gains ('Risk is my friend'). In bad times, risk aversion dominates ('Get me out at any price'). This emotional pendulum causes security prices to fluctuate far more than their underlying intrinsic values.
Moving from science to investing requires a critical mindset shift. Science seeks objective, repeatable truths, while investing involves making judgments about an unknowable future. Successful investors must use quantitative models as guides for judgment, not as sources of definitive answers.
AQR's founder argues that markets are fundamentally "voting mechanisms" where price is a dollar-weighted average of opinions. Arbitrage is limited because correcting a mispricing becomes progressively riskier for less reward. Therefore, if a misguided belief is backed by enough capital, it can dominate and push prices away from fundamental value.
Market efficiency increases with company size and liquidity. Therefore, the excess returns (alpha) from investment factors like value are significantly larger in the inefficient micro-cap space. For large-caps, the market is so efficient that factor premiums are minimal, making low-cost indexing a superior strategy.
Shifting capital between asset classes based on relative value is powerful but operationally difficult. It demands a "coordination tax"—a significant organizational effort to ensure different teams price risk comparably and collaborate. This runs counter to the industry's typical siloed, product-focused structure.