Federated Emerging Market Fund Volatility
Mutual Fund Volatility Analysis
Transformation |
Projected Return Density Against Market
Based on a 90-day horizon, Federated Emerging has a beta that is very close to zero suggesting the returns on DOW JONES INDUSTRIAL and Federated Emerging do not appear to be sensitive. Predicted Return Distribution |
| Density |
What Drives Federated Emerging's Price Volatility?
Industry Dynamics
Regulatory updates, demand shifts, and competitive changes in the Federated sector can move Federated Emerging's volatility even when broad indices are stable.Political and Economic Environment
Rates, inflation expectations, and policy headlines can shift discount rates and risk appetite for Federated Emerging.Federated Emerging's Company-Specific Factors
Earnings surprises, guidance changes, management decisions, and litigation risk are common catalysts for sharp re-pricing in Federated Emerging's shares.Mutual Fund Return Volatility
Federated Emerging historical daily return volatility represents how much of Federated Emerging fund's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The fund reported 0.0% volatility on return distribution over a 90-day investment horizon. By contrast, Dow Jones Industrial reported 0.9716% volatility on return distribution over a 90-day investment horizon. Performance |
| Timeline |
Related Correlations Analysis
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
Strong recent returns in Federated Mutual Fund do not always mean Federated Emerging Mutual Fund is outperforming peers on business quality. Without risk-adjusted context, short-term returns may appear stronger than the volatility required to achieve them would suggest. These indicators are quantitative in nature and measure volatility and risk-adjusted expected returns across different positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| QASGX | 1.21 | 0.12 | 0.06 | -0.41 | 1.50 | 2.58 | 6.74 | |||
| EMDIX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| ICRSX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| FICMX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| FIHBX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| FIGTX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| FMN | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| XFMNX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| XFPTX | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Risk Metrics, Assumptions & Methodology
Federated Emerging Market metrics are compiled from fund disclosures and market reference feeds and normalized before display. Volatility and downside metrics are estimated from historical return dispersion.
Volatility Profile Summary
Recent data suggests that Federated Emerging Market is less volatile than Dow Jones Industrial by approximately 0.0x over the selected horizon. This differential reflects the relative dispersion of returns and frames how each asset responds to broader market conditions. Observed price behavior indicates modest directional movement within the current volatility regime. Across the current 90-day horizon, that places the security below 0% of the broader equity and portfolio universe on a pure volatility basis. This positioning reflects relative dispersion compared to peers rather than extreme instability.Federated Emerging Market exhibits characteristics that tend to dampen sensitivity to smaller market fluctuations within the current volatility regime. This directional read frames the latest price swing through a simple momentum and follow-through lens. It gains reliability when combined with broader risk controls and volatility-adjusted analysis. a normal downward trend, but the immediate impact on correlations cannot be determined at the moment . Return distributions derived from historical modeling outline a range of potential outcomes over the selected 90-day horizon. View Federated Emerging probability analysis.
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