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Performance & Risk Metrics

Three-Factor Model Residual

The unexplained return component after controlling for market risk, size, and value exposures in the Fama-French three-factor framework, representing alpha or manager skill net of systematic factor tilts.

The three-factor model residual isolates true alpha by regressing historical returns against market beta (MKT-RF), size factor (SMB), and value factor (HML). In insider-trading and quant scoring contexts, this metric reveals whether abnormal returns stem from genuine skill, information asymmetry, or systematic factor exposure that may correlate with insider activity cycles. A persistently large positive residual may signal consistent outperformance independent of traditional risk factors, while large negative residuals warrant scrutiny for potential market timing errors or hidden leverage.

In surveillance systems, residual clustering by insider filing date or blackout window lift can indicate whether price movements are driven by factor rebalancing or by material nonpublic information. High-conviction quant signals with large residuals relative to peer funds warrant elevated scrutiny under Rule 10b5-1 and form-4 filing protocols, as they may reflect information leakage ahead of earnings or transaction announcements.

Formula

ri
Total return of security or portfolio
rf
Risk-free rate
\betai
Market beta exposure
rm
Market return
si
Size factor loading
hi
Value factor loading
\alpha
Alpha or unexplained outperformance
\epsiloni
Idiosyncratic residual term
Sources: Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56. · SEC Office of Market Intelligence: Insider Trading Surveillance and Factor Model Detection (Compliance Manual 2024)