MGPraxis6,400 papers identified by name

Mutual Fund Separation and the Fama, French, Carhart Factors

Konark Saxena·2012

Saxena (2012) studies value investing in equities using a linear factor model. The abstract mentions alpha but not a benchmark, an out-of-sample test, transaction costs, multiple testing or the size of the universe.

“For test portfolios, the alphas drop from a significant 15.6% per year for the FFC factors to an insignificant 1.08% per year for the the mutual-fund-separation factor.”

AssetEquitiessingle stocks, funds
StrategyValue investingsize premium
TechniqueLinear factor model
GeographyEurope

Also stated: Alpha, Long-short, Fundamentals

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

Institutional-grade audit of this strategy.
£5 — Request the audit
  • Audit of the paper claims accounting for costs, luck, crises, originality, geography, etc.
  • Reproduction code integratable into Bloomberg, IBKR, etc.
  • Bias-free datasets for backtesting included
  • Delivered in 2 working days
The paper's neighbourhoodValue investing by year
■ equities■ volatility and options■ crypto■ currencies■ other assets200044200581020105This paper20126201553202054442026■ equities■ volatility and options■ crypto■ currencies■ other assets200044200585This paper2012201553202054442026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
Testing Fama-French Factors in a Thin Market: Evidence from NGX-Listed Banks by Agbroko2026
What Do Factor Models Really Price in the Tails? A Noise-Corrected Quantile Reassessment of the Fama-French Five-Factor Model by Wang2026
Growth Value Two-Factor Model by Yeh and Hsu2025
Decomposition of Risk for Small Size and Low Book-to-market Stocks by Kale et al.2023
RIM-Based Value Premium and Factor Pricing Using Value-Price Divergence by Cong et al.2023
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts