Paper: SSRN 3177539

Abstract

In the earliest days of empirical work in academic finance, the size effect was the first market anomaly to challenge the standard asset pricing model and promp

Complexity vs Empirical Score

  • Math Complexity: 2.5/10
  • Empirical Rigor: 8.0/10
  • Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: The paper primarily uses standard statistical tests on public datasets (like CRSP) and factor return data (Fama-French) to empirically dissect the size effect, with minimal advanced mathematical formalism beyond basic regression and performance metrics.

Research Flowchart

  flowchart TD
  A["Research Goal: Investigate the existence<br>and persistence of the Size Effect"] --> B["Data Inputs: Historical equity data,<br>CRSP database, Fama-French factors"]
  B --> C["Methodology: Portfolio Sorts<br>& Regression Analysis"]
  C --> D{"Computational Process:<br>Decomposing Size Premium"}
  D -- "Statistical Testing" --> E["Key Findings: Size Effect is<br>conditional on volatility & liquidity"]
  D -- "Out-of-Sample Validation" --> E
  E --> F["Outcome: Small-cap premium<br>diminishes after accounting for<br>risk factors & data snooping"]