FIDELITY HIGH Competition
| SPHIX Fund | USD 8.01 -0.03 -0.37% |
Correlation: FIDELITY HIGH vs BlackRock Snapshot
Poor diversification
Across the chosen horizon, SPHIX and MDSKX show a correlation of 0.72 and fall into the Poor diversification bucket. In portfolio terms, the overlap visualization shows how much shared movement remains after both positions are combined.
Moving together with FIDELITY Mutual Fund
The mean reversion principle applied to FIDELITY HIGH's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
FIDELITY HIGH Competition Correlation Matrix
Reviewing how Fidelity High Income moves relative to competing funds can show whether peer exposure is reducing portfolio risk or simply repeating the same market bet. The useful question is whether competitors are behaving like true alternatives or simply tracking the same sector move with different volatility.
High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between FIDELITY Mutual Fund performing well and FIDELITY HIGH Mutual Fund doing well as a business compared to the competition. Risk-adjusted metrics allow investors to compare FIDELITY HIGH's efficiency and downside exposure against peers in a more meaningful way. 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| FMSDX | 0.51 | 0.06 | 0.14 | 0.01 | 0.71 | 1.00 | 3.83 | |||
| SVBAX | 0.38 | -0.01 | 0.19 | 0.02 | 0.48 | 0.71 | 2.32 | |||
| CDSIX | 0.08 | -0.01 | 0.72 | 1.10 | 0.07 | 0.19 | 0.69 | |||
| JRBYX | 0.38 | 0.02 | 0.00 | -0.06 | 0.00 | 0.61 | 2.39 | |||
| CSQ | 0.73 | -0.01 | 0.00 | -0.11 | 0.00 | 1.23 | 4.41 | |||
| BFRKX | 0.09 | -0.02 | 0.00 | -0.71 | 0.00 | 0.32 | 0.85 | |||
| JDSNX | 0.71 | 0.05 | 0.00 | -0.04 | 0.00 | 1.32 | 4.94 | |||
| JSCVX | 0.72 | 0.05 | 0.00 | -0.04 | 0.00 | 1.31 | 4.92 | |||
| MASKX | 0.94 | 0.09 | 0.00 | -0.02 | 0.00 | 1.42 | 5.87 | |||
| MDSKX | 0.94 | 0.09 | 0.00 | -0.02 | 0.00 | 1.42 | 5.90 |
FIDELITY HIGH Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
FIDELITY HIGH Competition Peer Performance Charts
How to Analyze FIDELITY HIGH Against Peers
FIDELITY HIGH's peer analysis compares FIDELITY HIGH 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 FIDELITY HIGH 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 FIDELITY HIGH leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
The competition view for FIDELITY HIGH includes correlation data, showing which peers are financially similar and which ones move together in the market. Valuation premiums or discounts for FIDELITY HIGH become more meaningful when measured against the peer group rather than in isolation. Relative analysis can highlight whether current pricing already reflects peer-group strengths or weaknesses.
Inputs for Fidelity High Income come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag.