Emerging Markets Correlations
| AEDMX Fund | USD 11.62 0.02 0.17% |
The current 90-days correlation between Emerging Markets and Janus Triton Fund is 0.41 (i.e., Very weak diversification). The correlation of Emerging Markets is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Emerging Markets Correlation With Market
Good diversification
The correlation between Emerging Markets Fund and DJI is -0.04 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets Fund and DJI in the same portfolio, assuming nothing else is changed.
Emerging |
Moving together with Emerging Mutual Fund
| 0.81 | VEMAX | Vanguard Emerging Markets | PairCorr |
| 0.96 | VEIEX | Vanguard Emerging Markets | PairCorr |
| 0.95 | VEMIX | Vanguard Emerging Markets | PairCorr |
| 0.95 | VEMRX | Vanguard Emerging Markets | PairCorr |
| 0.91 | FWWNX | American Funds New | PairCorr |
| 0.91 | FNFWX | American Funds New | PairCorr |
| 0.98 | NEWFX | New World Fund | PairCorr |
| 0.98 | NWFFX | New World Fund | PairCorr |
| 0.97 | NEWCX | New World Fund | PairCorr |
| 0.95 | ODVYX | Oppenheimer Developing | PairCorr |
| 0.64 | TGLDX | Tocqueville Gold | PairCorr |
| 0.83 | DD | Dupont De Nemours Fiscal Year End 4th of February 2025 | PairCorr |
| 0.71 | IBM | International Business Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.69 | MCD | McDonalds Fiscal Year End 3rd of February 2025 | PairCorr |
| 0.75 | GE | GE Aerospace Fiscal Year End 28th of January 2025 | PairCorr |
| 0.71 | CAT | Caterpillar Fiscal Year End 3rd of February 2025 | PairCorr |
Related Correlations Analysis
| -0.46 | -0.36 | 0.94 | -0.71 | JGMNX | ||
| -0.46 | 0.41 | -0.47 | 0.7 | BTMKX | ||
| -0.36 | 0.41 | -0.34 | 0.68 | PFRSX | ||
| 0.94 | -0.47 | -0.34 | -0.74 | SSSYX | ||
| -0.71 | 0.7 | 0.68 | -0.74 | MPHQX | ||
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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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. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Emerging Markets' 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| JGMNX | 0.68 | 0.09 | (0.03) | (0.88) | 0.77 | 1.58 | 4.68 | |||
| BTMKX | 0.68 | (0.15) | 0.00 | (0.24) | 0.00 | 0.98 | 4.25 | |||
| PFRSX | 0.64 | 0.00 | (0.11) | 0.18 | 0.78 | 1.17 | 3.41 | |||
| SSSYX | 0.54 | 0.08 | (0.01) | 2.72 | 0.62 | 1.16 | 3.56 | |||
| MPHQX | 0.21 | (0.05) | 0.00 | (0.77) | 0.00 | 0.40 | 1.32 |