ProShares Large Competition
| CSM Etf | USD 77.21 0.25 0.32% |
Pair Correlation for ProShares Large and ETC 6 Overview
Excellent diversification
The correlation between CSM and SIXH is -0.57, which Macroaxis classifies as Excellent diversification for the selected horizon. This matters because lower overlap can improve diversification, while higher overlap leaves more of the same risk inside the portfolio.
Moving together with ProShares Etf
| 0.87 | VTI | Vanguard Total Stock | PairCorr |
| 0.9 | SPY | SPDR SAMPP 500 | PairCorr |
| 0.9 | IVV | iShares Core SAMPP | PairCorr |
| 0.95 | VV | Vanguard Large Cap | PairCorr |
Moving against ProShares Etf
Mean reversion in ProShares Large is more reliable over longer time horizons. Short-term deviations can persist and even widen before correcting, making position sizing and risk management critical.
ProShares Large Competition Correlation Matrix
Reviewing how ProShares Large Cap moves relative to competing etfs can show whether peer exposure is reducing portfolio risk or simply repeating the same market bet. This matrix is most informative when investors want to know whether adding another peer would improve diversification, increase crowding, or leave total risk largely unchanged.
High positive correlations
| High negative correlations
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ProShares Large Constituents Risk-Adjusted Indicators
There is a big difference between ProShares Etf performing well and ProShares Large ETF doing well as a business compared to the competition. A thorough review of ProShares Large's risk-adjusted indicators provides a clearer picture of whether returns are being earned efficiently. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| DDM | 1.20 | 0.00 | 0.00 | -0.04 | 0.00 | 2.41 | 8.26 | |||
| RSPA | 0.45 | 0.05 | 0.10 | 0.04 | 0.59 | 0.99 | 2.80 | |||
| QDEF | 0.43 | 0.04 | 0.08 | 0.03 | 0.66 | 0.65 | 3.80 | |||
| XVV | 0.59 | 0.00 | 0.00 | -0.05 | 0.00 | 0.90 | 3.92 | |||
| TVAL | 0.51 | 0.11 | 0.16 | 0.11 | 0.65 | 1.04 | 3.19 | |||
| XSW | 1.49 | -0.29 | 0.00 | -0.26 | 0.00 | 2.68 | 10.00 | |||
| SPHB | 1.13 | 0.05 | 0.02 | -0.01 | 1.50 | 1.87 | 7.30 | |||
| FCTE | 0.84 | 0.05 | 0.05 | 0.02 | 1.06 | 1.73 | 4.49 | |||
| BKDV | 0.60 | 0.07 | 0.08 | 0.04 | 0.78 | 0.96 | 3.98 | |||
| SIXH | 0.35 | 0.14 | 0.58 | 0.86 | 0.00 | 0.92 | 2.03 |
ProShares Large Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
ProShares Large Competition Peer Performance Charts
How to Analyze ProShares Large Against Peers
ProShares Large's peer analysis compares ProShares Large 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 ProShares Large 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 ProShares Large leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
EPS growth trajectory comparison for ProShares Large versus peers cuts through one-quarter earnings surprises and focuses on structural earnings expansion across periods. The peer set can help frame whether recent outperformance is broad-based or company-specific.
The analytics block for ProShares Large Cap relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor.