EMERGING MARKETS Competition
| AMKIX Fund | USD 16.39 -0.04 -0.24% |
EMERGING MARKETS and HENNESSY FOCUS Correlation Details
Very weak diversification
Across the chosen horizon, AMKIX and HFCIX show a correlation of 0.44 and fall into the Very weak 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 EMERGING Mutual Fund
Moving against EMERGING Mutual Fund
The mean reversion principle applied to EMERGING MARKETS's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
EMERGING MARKETS Competition Correlation Matrix
Reviewing how Emerging Markets Fund moves relative to competing funds can show whether peer exposure is reducing portfolio risk or simply repeating the same market bet. Used correctly, correlation analysis helps separate broad industry exposure from company-specific behavior before additional capital is allocated across the peer group.
Risk-Adjusted Indicators
There is a big difference between EMERGING Mutual Fund performing well and EMERGING MARKETS Mutual Fund doing well as a business compared to the competition. Risk-adjusted metrics allow investors to compare EMERGING MARKETS'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| TEDMX | 0.97 | 0.16 | 0.16 | -1.27 | 1.39 | 2.04 | 8.45 | |||
| TDMTX | 0.96 | 0.14 | 0.14 | -1.07 | 1.40 | 2.05 | 8.51 | |||
| GCMAX | 0.73 | -0.02 | 0.00 | 0.09 | 0.00 | 1.28 | 5.02 | |||
| SMBYX | 0.72 | 0.02 | 0.00 | -0.07 | 0.00 | 1.32 | 4.69 | |||
| GEMAX | 0.91 | 0.10 | 0.12 | -0.55 | 1.43 | 2.05 | 8.58 | |||
| FGADX | 2.43 | 0.19 | 0.04 | 0.06 | 3.83 | 4.85 | 16.65 | |||
| RLITX | 1.26 | 0.58 | 0.57 | 0.44 | 0.46 | 1.23 | 36.31 | |||
| LISIX | 0.68 | 0.05 | 0.00 | -0.02 | 0.00 | 1.21 | 4.40 | |||
| SEQFX | 0.84 | 0.21 | 0.16 | 0.15 | 1.18 | 1.76 | 7.53 | |||
| HFCIX | 1.41 | 0.12 | 0.05 | 0.00 | 1.67 | 2.98 | 6.59 |
EMERGING MARKETS Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
EMERGING MARKETS Competition Peer Performance Charts
How to Analyze EMERGING MARKETS Against Peers
EMERGING MARKETS's peer analysis compares EMERGING MARKETS 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 EMERGING MARKETS 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 EMERGING MARKETS leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
Competitor benchmarking for EMERGING MARKETS often reveals which operating metrics are genuinely differentiated and which appear similar across the peer group. Short interest comparison for EMERGING MARKETS and its peers can highlight which companies attract the most skepticism from market participants. Relative analysis can highlight whether current pricing already reflects peer-group strengths or weaknesses.
Inputs for Emerging Markets Fund come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag.