FIDELITY DIVIDEND Competition
| FDGFX Fund | USD 43.09 -0.05 -0.12% |
FIDELITY DIVIDEND and FIDELITY STOCK Correlation View
Very poor diversification
For the present investment horizon, the measured correlation between FDGFX and FDSSX stands at 0.88, or Very poor diversification. In portfolio terms, the overlap visualization shows how much shared movement remains after both positions are combined.
Moving together with FIDELITY Mutual Fund
Mean reversion in FIDELITY DIVIDEND's price occurs when temporary dislocations - caused by sentiment extremes, news events, or liquidity shocks - correct back toward the stock's historical fair value.
FIDELITY DIVIDEND Competition Correlation Matrix
Competition correlation for Fidelity Dividend Growth matters because related securities often respond to the same industry, factor, or macro drivers even when their business stories differ. A reading near +1 usually means prices have moved in tandem, a reading near -1 suggests opposite movement, and a reading near zero points to weaker historical dependence.
| 0.73 | 0.2 | 0.57 | 0.47 | 0.73 | 0.81 | FCPGX | ||
| 0.73 | 0.46 | 0.78 | 0.68 | 0.65 | 0.89 | FOSKX | ||
| 0.2 | 0.46 | 0.75 | 0.66 | -0.01 | 0.52 | FTHCX | ||
| 0.57 | 0.78 | 0.75 | 0.88 | 0.3 | 0.8 | FEMKX | ||
| 0.47 | 0.68 | 0.66 | 0.88 | 0.1 | 0.65 | FMCSX | ||
| 0.73 | 0.65 | -0.01 | 0.3 | 0.1 | 0.77 | FGDKX | ||
| 0.81 | 0.89 | 0.52 | 0.8 | 0.65 | 0.77 | FDSSX | ||
High positive correlations
| High negative correlations
|
Risk-Adjusted Indicators
FIDELITY DIVIDEND Mutual Fund may look attractive on headline returns alone, but deeper analysis often tells a different story. A thorough review of FIDELITY DIVIDEND'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| FCPGX | 1.02 | 0.07 | 0.00 | -0.03 | 0.00 | 1.65 | 6.93 | |||
| FOSKX | 0.80 | 0.05 | 0.00 | -0.04 | 0.00 | 1.53 | 6.15 | |||
| FTHCX | 0.78 | 0.13 | 0.12 | 0.60 | 1.06 | 2.06 | 6.79 | |||
| FEMKX | 0.91 | 0.18 | 0.12 | 0.08 | 1.26 | 2.00 | 6.87 | |||
| FMCSX | 0.79 | 0.13 | 0.13 | 0.05 | 0.92 | 1.45 | 5.62 | |||
| FGDKX | 0.81 | 0.03 | 0.00 | -0.06 | 0.00 | 1.48 | 4.51 | |||
| FDSSX | 0.63 | 0.05 | 0.00 | -0.02 | 0.00 | 1.11 | 3.75 |
FIDELITY DIVIDEND Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
FIDELITY DIVIDEND Competition Peer Performance Charts
How to Analyze FIDELITY DIVIDEND Against Peers
FIDELITY DIVIDEND's peer analysis compares FIDELITY DIVIDEND 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 DIVIDEND 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 DIVIDEND leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
The competitor view for FIDELITY DIVIDEND covers valuation, profitability, leverage, and growth rate side-by-side across the peer group. Debt-to-equity comparison across FIDELITY DIVIDEND's peers frames whether its leverage is conservative, normal, or elevated for its industry. Comparing peers in Fidelity Investments Funds, Large Blend Funds can help separate structural strengths from temporary momentum.
This section for Fidelity Dividend Growth is built from fund disclosures and market reference feeds, with harmonization applied to align reporting definitions. Values may update on different source schedules.