FlexShares Quality Competition

QDF Etf  USD 79.19  -0.03  -0.04%   
Comparable companies for FlexShares Quality Dividend include FlexShares Morningstar, American Century, IShares MSCI, Fidelity MSCI, and Fidelity MSCI and related peers. Revenue per employee for FlexShares Quality versus peers measures operational efficiency at a basic level.

Pair Correlation for FlexShares Quality and T Rowe Details

Very poor diversification
The correlation between FlexShares Quality and T Rowe is 0.84, which Macroaxis classifies as Very poor diversification for the selected horizon. Lower overlap tends to improve diversification, while higher overlap means both positions carry similar risk.

Moving together with FlexShares Etf

  0.72VTV Vanguard Value IndexPairCorr
  0.63VYM Vanguard High DividendPairCorr
  0.71IWD iShares Russell 1000PairCorr
  0.83DGRO iShares Core DividendPairCorr
  0.93IVE iShares SAMPP 500PairCorr
Specify up to 10 symbols:
Experienced investors tracking FlexShares Quality's watch for mean reversion setups where price has deviated from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in FlexShares Quality. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in FlexShares Quality. The mean reversion signal is most useful when combined with fundamental confirmation for FlexShares Quality's.
Hype
Prediction
LowEstimatedHigh
78.4379.2280.01
Details
Intrinsic
Valuation
LowRealHigh
78.9079.6980.48
Details
Naive
Forecast
LowNextHigh
77.9078.6979.48
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
78.1581.4584.76
Details
Peer comparison enriches FlexShares Quality analysis by revealing how the company ranks against competitors. FlexShares Quality's multiples must be compared to direct competitors to determine genuine value. Superior peer-relative performance is one of the strongest justifications for FlexShares Quality's valuation premium. Cross-company comparison is essential to validate or challenge any investment thesis on FlexShares Quality.

FlexShares Quality Competition Correlation Matrix

Correlation analysis between FlexShares Quality Dividend and its competitors provides context for understanding whether diversification is real or only superficial inside the same peer group. The current classification points to the Large Value category. In practical terms, lower correlation may offer better diversification while higher correlation may leave the portfolio more exposed to one shared driver.

High positive correlations

TSPATILT
EWGTILT
TSPAFTLS
TSPAEWG
DESEWW
FDISQGRO
  

High negative correlations

FDISFUTY
FUTYQGRO
DESQGRO
FTLSFUTY
EWWQGRO
TSPAFUTY

FlexShares Quality Constituents Risk-Adjusted Indicators

FlexShares Quality ETF can look attractive on recent price action while risk efficiency lags the peer group. Reviewing FlexShares Quality's risk-adjusted indicators gives a clearer view of whether returns are being earned efficiently. These indicators are quantitative in nature and help investors evaluate volatility and risk-adjusted expected returns across different positions.

FlexShares Quality Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
QDF TILT QGRO EWG FUTY FDIS EWW ESML FTLS DES
 0.04 
79.19
FlexShares
 0.16 
241.76
FlexShares
 0.06 
106.68
American
 0.94 
38.95
IShares
 0.03 
58.15
Fidelity
 0.48 
93.72
Fidelity
 1.91 
72.46
IShares
 0.04 
47.09
IShares
 0.13 
70.29
First
 1.24 
35.94
WisdomTree
Market Volatility
(90 Days Market Risk)
Market Performance
(90 Days Performance)
Odds of Financial Distress
(Probability Of Bankruptcy)
Current Valuation
(Equity Enterprise Value)
Buy or Sell Analysis
(Average Analysts Consensus)
Not Available
Not Available
Not Available
Not Available
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Not Available
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Trade Advice
(90 Days Macroaxis Advice)
Price To Sales
Equity Positions Weight
Three Year Return
Net Asset
Price To Book
Five Year Return
One Year Return
Last Dividend Paid
Ten Year Return
Price To Earning
Beta
Day Typical Price
Accumulation Distribution
Market Facilitation Index
Daily Balance Of Power
Period Momentum Indicator
Rate Of Daily Change
Day Median Price
Price Action Indicator
Relative Strength Index
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

FlexShares Quality Competition Peer Performance Charts

How to Analyze FlexShares Quality Against Peers

FlexShares Quality's peer analysis compares FlexShares Quality with related companies to put valuation, quality, and risk metrics in context. This helps determine whether recent performance is company-specific or broadly sector-driven. A practical workflow includes:
  • Set a relevant peer group: Include direct competitors and close alternatives with comparable business exposure.
  • Benchmark core financials: Compare profitability, growth, capital structure, and cash flow quality.
  • Check valuation dispersion: Review whether FlexShares Quality trades at a premium or discount versus peers and why.
  • Evaluate risk profile: Compare volatility, drawdowns, and correlation to avoid false diversification assumptions.
  • Document the thesis: Record where FlexShares Quality leads or lags and what catalysts could close or widen the gap.
Use this as an educational baseline, then validate conclusions with current filings, market conditions, and portfolio objectives.

Peer Comparison Metrics & Methodology

FlexShares Quality carries less net debt relative to EBITDA than most competitors, giving it more room to invest or weather downturns. Peer benchmarking can improve context for valuation without relying only on standalone multiples.

The analytics block for FlexShares Quality Dividend relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor.

This content is curated and reviewed by:

Vlad Skutelnik - Macroaxis Contributor
Last reviewed on March 2nd, 2026