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📊 '''Fama-French model''' is a multi-factor asset pricing framework that insurance companies and their [[Definition:Investment management | investment managers]] use to evaluate expected returns on equity portfolios beyond what the single-factor [[Definition:Capital asset pricing model (CAPM) | CAPM]] can explain. Developed by economists Eugene Fama and Kenneth French, the model augments the traditional market risk premium with two additional factors — a size premium (small-cap stocks tend to outperform large-cap stocks) and a value premium (high book-to-market stocks tend to outperform growth stocks). For insurers, whose investment portfolios must be managed in alignment with [[Definition:Asset-liability management (ALM) | asset-liability management]] objectives and [[Definition:Regulatory capital | regulatory capital]] constraints, the Fama-French model provides a more granular lens for understanding the sources of equity return and risk than a simple market beta approach.

⚙️ In practice, an insurer's investment team or external asset manager applies the three-factor model to decompose portfolio returns into contributions from broad market exposure, the size factor (SMB, or "small minus big"), and the value factor (HML, or "high minus low" book-to-market). This decomposition helps [[Definition:Chief investment officer (CIO) | chief investment officers]] determine whether active equity managers are genuinely generating [[Definition:Alpha | alpha]] or simply tilting toward size and value exposures that could be replicated more cheaply through passive strategies. Under [[Definition:Solvency II | Solvency II]] in Europe and the [[Definition:Risk-based capital (RBC) | risk-based capital]] framework in the United States, equity holdings carry meaningful capital charges, so understanding the precise factor exposures embedded in an insurer's equity allocation directly informs capital efficiency decisions. Later extensions — the Fama-French five-factor model adding profitability and investment factors — have gained traction among sophisticated insurance [[Definition:Asset management | asset management]] operations seeking even finer attribution.

💡 Getting equity factor exposures right has real consequences for an insurer's financial resilience. A life insurer in Japan managing a large equity book, or a European [[Definition:Reinsurer | reinsurer]] running a diversified multi-asset portfolio, needs to understand whether its equity returns are being driven by compensated risk factors or by unintended concentrations. The Fama-French model gives [[Definition:Enterprise risk management (ERM) | enterprise risk management]] teams and boards a common vocabulary for discussing these exposures. It also plays a role in [[Definition:Economic capital | economic capital]] modeling, where factor-based return assumptions feed into stochastic simulations of an insurer's solvency position over multi-year horizons. Without this kind of structured attribution, insurers risk mispricing the equity component of their investment strategy and holding either too much or too little capital against it.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Capital asset pricing model (CAPM)]]
* [[Definition:Asset-liability management (ALM)]]
* [[Definition:Economic capital]]
* [[Definition:Investment risk]]
* [[Definition:Risk-based capital (RBC)]]
* [[Definition:Solvency II]]
{{Div col end}}

Definition:Fama-French model - Revision history

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