SIMT TAX-MANAGED Competition
| STMPX Fund | USD 23.34 -0.42 -1.77% |
SIMT TAX-MANAGED vs WELLS FARGO Correlation Details
Poor diversification
Across the chosen horizon, STMPX and EKWYX show a correlation of 0.64 and fall into the Poor diversification bucket. The overlap area represents the portion of risk that may be diversified away when both instruments are held together and nothing else in the portfolio changes.
Moving together with SIMT Mutual Fund
The mean reversion framework for SIMT TAX-MANAGED is built on the premise that markets are not perfectly efficient and that prices periodically overshoot their intrinsic value in both directions.
SIMT TAX-MANAGED Competition Correlation Matrix
Studying peer correlation around Simt Tax Managed Smallmid gives investors a cleaner read on how much independent price behavior still exists across the competitive set. Used correctly, correlation analysis helps separate broad industry exposure from company-specific behavior before additional capital is allocated across the peer group.
High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
Evaluating SIMT Mutual Fund requires separating price momentum from underlying business quality relative to competitors. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze SIMT TAX-MANAGED's multiple risk-adjusted performance indicators across the competitive landscape. 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| STVYX | 1.03 | 0.47 | 0.94 | 2.68 | 0.00 | 0.92 | 32.89 | |||
| TMMAX | 1.02 | 0.47 | 0.93 | 2.67 | 0.00 | 0.92 | 32.97 | |||
| SUSYX | 0.74 | 0.28 | 0.55 | 0.75 | 0.13 | 0.82 | 19.95 | |||
| SEVIX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| SVOAX | 0.75 | 0.28 | 0.54 | 0.76 | 0.13 | 0.82 | 20.13 | |||
| MDLVX | 0.52 | 0.03 | 0.19 | -0.31 | 0.65 | 1.01 | 3.05 | |||
| AFVLX | 0.64 | 0.03 | 0.00 | -0.07 | 0.00 | 1.09 | 4.28 | |||
| HDVYX | 0.73 | 0.06 | 0.00 | -0.03 | 0.00 | 1.34 | 5.61 | |||
| SMFYX | 0.90 | 0.06 | 0.00 | -0.05 | 0.00 | 1.80 | 5.96 | |||
| EKWYX | 2.46 | 0.15 | 0.02 | 0.01 | 4.35 | 5.11 | 18.29 |
SIMT TAX-MANAGED Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
SIMT TAX-MANAGED Competition Peer Performance Charts
How to Analyze SIMT TAX-MANAGED Against Peers
SIMT TAX-MANAGED's peer analysis compares SIMT TAX-MANAGED 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 SIMT TAX-MANAGED 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 SIMT TAX-MANAGED leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
Peer analysis for SIMT TAX-MANAGED benchmarks it against the companies that most directly compete for the same customers, capital, and market share. The peer benchmarking view is most useful when filtered by business model similarity rather than just SIMT TAX-MANAGED's sector classification. Companies that appear similar on revenue growth may differ substantially on SIMT TAX-MANAGED's margin and return profile. Stronger competitive positioning is usually reflected through margins, returns on capital, and balance-sheet resilience.
Reported values for Simt Tax Managed Smallmid are derived from fund disclosures and market reference feeds and then standardized by Macroaxis analytics. Refresh times depend on source availability.