Fidelity Japan Competition
| FJSCX Fund | USD 18.08 0.36 2.03% |
Fidelity Japan vs DEUTSCHE EQUITY Correlation Overview
Weak diversification
FJSCX currently posts a 0.33 correlation with BTIEX, indicating a Weak diversification relationship for the active sample. Used correctly, the chart helps investors judge whether adding the second position genuinely diversifies the first.
Moving together with Fidelity Mutual Fund
| 0.99 | FJPNX | Fidelity Japan | PairCorr |
| 0.86 | RJAIX | T Rowe Price | PairCorr |
| 0.96 | MJFOX | Matthews Japan | PairCorr |
| 0.96 | MIJFX | Matthews Japan | PairCorr |
| 1.0 | DFJSX | Japanese Small Pany | PairCorr |
Moving against Fidelity Mutual Fund
The concept of mean reversion suggests that Fidelity Japan's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
Fidelity Japan Competition Correlation Matrix
Correlation analysis between Fidelity Japan Smaller and its competitors helps investors understand whether diversification is real or only superficial inside the same peer group. 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
|
Risk-Adjusted Indicators
Evaluating Fidelity Mutual Fund requires separating price momentum from underlying business quality relative to competitors. Without reviewing risk-adjusted indicators, investors may overweight recent returns and underweight the volatility required to achieve them. 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| HJPNX | 1.05 | 0.06 | 0.03 | 0.02 | 1.48 | 2.36 | 8.40 | |||
| HNASX | 1.07 | 0.10 | 0.08 | 0.09 | 1.19 | 1.61 | 16.43 | |||
| NNLEX | 0.82 | -0.16 | 0.00 | -0.18 | 0.00 | 1.55 | 5.25 | |||
| NMVLX | 0.51 | 0.05 | 0.11 | 0.66 | 0.55 | 1.16 | 2.81 | |||
| WOGSX | 0.72 | -0.03 | 0.00 | -0.06 | 0.00 | 1.22 | 3.91 | |||
| TRHRX | 0.52 | 0.10 | 0.15 | 0.12 | 0.52 | 0.96 | 6.47 | |||
| WMICX | 0.94 | 0.01 | 0.00 | -0.02 | 0.00 | 1.52 | 5.32 | |||
| SWHRX | 0.28 | 0.00 | 0.00 | -0.03 | 0.00 | 0.48 | 1.83 | |||
| TRRVX | 0.32 | 0.08 | 0.21 | 0.17 | 0.20 | 0.59 | 5.11 | |||
| BTIEX | 0.80 | 0.20 | 0.26 | 0.24 | 0.58 | 1.03 | 16.22 |
Fidelity Japan Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
Fidelity Japan Competition Peer Performance Charts
How to Analyze Fidelity Japan Against Peers
Fidelity Japan's peer analysis compares Fidelity Japan 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 Japan 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 Japan leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
The competitor view for Fidelity Japan covers valuation, profitability, leverage, and growth rate side-by-side - the four dimensions that most reliably separate industry leaders from laggards. Peer benchmarking can improve context for valuation without relying only on standalone multiples.
For Fidelity Japan Smaller, this section uses fund disclosures and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.