Validea Detailed Fundamental Analysis

Validea's guru fundamental report indicates Elevance Health (ELV) scored 75% using Pim van Vliet's Multi-Factor Investor model, which targets low volatility, strong momentum, and high net payout yields. Despite ELV's large-cap status and passing low volatility tests, its neutral momentum and net payout yield ratings, alongside a 'FAIL' on the final rank, placed it below the 80% threshold for 'some interest' by this strategy, suggesting it does not currently align with the model's preferred characteristics.

Analysis

Elevance Health (ELV) scored 75% on Validea's Multi-Factor Investor model, which is based on Pim van Vliet's strategy of targeting low volatility, high momentum, and high net payout yield stocks. This score is below the 80% threshold indicating 'some interest' from the strategy. While ELV, a large-cap company, successfully passed the model's criteria for market capitalization and low volatility (Standard Deviation), it only achieved 'NEUTRAL' ratings on both its 'Twelve Minus One Momentum' and 'Net Payout Yield'. Consequently, these neutral findings on two of the three core pillars of the strategy led to an ultimate 'FAIL' on the model's final rank, suggesting that despite its low-risk profile, ELV's current momentum and capital return characteristics are not sufficiently strong to meet the quantitative requirements of this specific factor-based approach.

Key Decisions for Investors

• Investors strictly following Pim van Vliet's multi-factor strategy or similar quantitative models should note that ELV does not currently meet the criteria for inclusion due to its neutral momentum and payout yield.
• For investors prioritizing stability, ELV's confirmed low-volatility characteristic may still be attractive, though the lack of strong momentum and yield as identified by this specific screen should be considered a mitigating factor.
• Monitor ELV's price momentum and capital return policies, as a significant improvement in either its net payout yield or momentum could change its viability for factor-based strategies in the future.