Prof. Eugene Fama | Rational Reminder 200

The Rational Reminder Podcast The Rational Reminder Podcast May 11, 2022

Audio Brief

Show transcript
This episode covers an in-depth conversation with Nobel laureate Eugene Fama, exploring the foundations of modern finance from market efficiency to the evolution of asset pricing models. There are four key takeaways from this conversation. First, active management is generally a negative-sum game after costs. Second, estimates of future returns are extremely imprecise. Third, factors like value or size represent compensation for bearing specific risks, not free profit opportunities. And fourth, an investor's optimal portfolio depends on their personal tastes or willingness to bear different dimensions of risk. Market prices reflect all available information, making consistent outperformance highly improbable. This core concept of market efficiency implies that active management, after accounting for costs, often results in a negative-sum game where most managers underperform their benchmarks. Outperformance is largely attributable to chance. Estimating future market or factor returns is profoundly difficult due to high variance. Even with nearly a century of data, the historical average is a very imprecise estimate of the true expected return. Investors should be highly skeptical of precise forecasts and understand the significant uncertainty inherent in historical averages. Risk premiums, such as those for value or size, compensate investors for bearing specific risks. If enough investors widely misperceive these premiums as "free money" rather than compensation for risk, the resulting capital flows could bid up prices and cause the premium to diminish or disappear entirely. False beliefs can effectively kill a risk premium. An investor's optimal portfolio configuration ultimately depends on their personal "tastes." This refers to their individual preferences and willingness to bear different dimensions of risk beyond just the overall market portfolio. These preferences inform decisions about tilting a portfolio towards specific factors. This discussion with Eugene Fama provides essential context on market dynamics, risk premiums, and the practical challenges of estimating future returns.

Episode Overview

  • This episode features an in-depth conversation with Nobel laureate Eugene Fama, covering the foundations of modern finance, from market efficiency to the evolution of asset pricing models.
  • Professor Fama discusses the profound uncertainty in estimating expected returns for both the market and risk factors, emphasizing the limitations of historical data.
  • The discussion explores the nature of risk premiums, suggesting they can disappear if investors widely misperceive them as free profit opportunities rather than compensation for risk.
  • Fama provides his perspective on contemporary topics including momentum, market bubbles, behavioral finance, and cryptocurrency, consistently applying his framework of market efficiency.

Key Concepts

  • Market Efficiency: The core idea that security prices reflect all available information, implying that active management is a negative-sum game after costs and outperformance is largely due to chance.
  • Evolution of Asset Pricing Models: The progression from the theoretically-driven but empirically failed Capital Asset Pricing Model (CAPM) to the empirically-derived Fama-French three-factor and five-factor models, which better explain observed return patterns.
  • Uncertainty in Expected Returns: Estimating future market or factor returns is extremely difficult due to high variance. Even with nearly a century of data, the historical average is a very imprecise estimate of the true expected return.
  • The Nature of Risk Premiums: A risk premium's existence can be fragile. If enough investors treat a premium (like value) as a "free lunch" instead of compensation for risk, the resulting capital flows can bid up prices and cause the premium to disappear.
  • Bubbles vs. Randomness: A true "bubble" is a price run-up with a predictable ending that can be profitably traded against. Most events labeled as bubbles are more likely just random price movements that are given a narrative after the fact.
  • Portfolio Construction and Tastes: The decision for an investor to deviate from the market portfolio and tilt towards certain factors (like size or value) is ultimately a matter of personal "tastes" and their willingness to bear different dimensions of risk.
  • Cryptocurrency Skepticism: From a monetary theory perspective, an asset like Bitcoin is unlikely to succeed as a medium of exchange due to its extreme price volatility, which makes businesses unwilling to hold it.

Quotes

  • At 5:51 - "'The simple statement is that prices reflect all available information.'" - Professor Fama provides a concise definition of an efficient market.
  • At 24:13 - "The historical average return is a number whose deviation from the true expected value has a big variance." - Fama on the immense statistical uncertainty that exists when trying to estimate the equity risk premium, even with a lot of data.
  • At 32:47 - "Tastes." - Fama's succinct answer to what determines whether an investor should tilt their portfolio away from the market, referring to their preferences for different types of risk.
  • At 51:27 - "You could kill a risk premium, you know, because of the false beliefs." - Emphasizing that market inefficiencies can arise from investors misperceiving risk as a pure profit opportunity.
  • At 1:00:08 - "My view of a bubble is something that has a predictable ending... otherwise I don't call them bubbles, I just call them randomness." - Defining a bubble as a phenomenon whose collapse can be profitably predicted, distinguishing it from random price movements.

Takeaways

  • Active management is a negative-sum game after costs because market prices incorporate information so effectively, making consistent outperformance highly improbable.
  • Estimates of future returns are extremely imprecise, so investors should be highly skeptical of forecasts and understand the significant uncertainty inherent in historical averages.
  • Factors like value or size represent compensation for bearing specific risks, not a free lunch; widespread belief that they are "free money" could cause those premiums to disappear.
  • An investor's optimal portfolio depends on their personal "tastes" or willingness to bear different dimensions of risk beyond just the overall market.