Emerging Markets Debt Fund Technical Analysis
| AEXDX Fund | USD 9.52 0.01 0.11% |
As of the 30th of January, Emerging Markets shows the Coefficient Of Variation of 553.51, standard deviation of 0.2063, and Mean Deviation of 0.1592. Emerging Markets Debt technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Emerging Markets Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Emerging, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EmergingEmerging |
Emerging Markets 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Emerging Markets' mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Emerging Markets.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Emerging Markets on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Emerging Markets Debt or generate 0.0% return on investment in Emerging Markets over 90 days. Emerging Markets is related to or competes with Artisan High, Leader Short, Georgia Tax-free, Pace Municipal, Multisector Bond, T Rowe, and Morningstar Defensive. Under normal market conditions, the fund invests at least 80 percent of its net assets in fixed income instruments of is... More
Emerging Markets Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Emerging Markets' mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Emerging Markets Debt upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2197 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 1.17 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.4242 |
Emerging Markets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerging Markets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerging Markets' standard deviation. In reality, there are many statistical measures that can use Emerging Markets historical prices to predict the future Emerging Markets' volatility.| Risk Adjusted Performance | 0.106 | |||
| Jensen Alpha | 0.0207 | |||
| Total Risk Alpha | 0.0127 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.2126 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerging Markets' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Emerging Markets January 30, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.106 | |||
| Market Risk Adjusted Performance | 0.2226 | |||
| Mean Deviation | 0.1592 | |||
| Downside Deviation | 0.2197 | |||
| Coefficient Of Variation | 553.51 | |||
| Standard Deviation | 0.2063 | |||
| Variance | 0.0426 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | 0.0207 | |||
| Total Risk Alpha | 0.0127 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.2126 | |||
| Maximum Drawdown | 1.17 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.4242 | |||
| Downside Variance | 0.0483 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.21) | |||
| Skewness | 0.2435 | |||
| Kurtosis | 0.8987 |
Emerging Markets Debt Backtested Returns
At this stage we consider Emerging Mutual Fund to be very steady. Emerging Markets Debt secures Sharpe Ratio (or Efficiency) of 0.18, which denotes the fund had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Emerging Markets Debt, which you can use to evaluate the volatility of the entity. Please confirm Emerging Markets' Mean Deviation of 0.1592, coefficient of variation of 553.51, and Standard Deviation of 0.2063 to check if the risk estimate we provide is consistent with the expected return of 0.0356%. The fund shows a Beta (market volatility) of 0.13, which means not very significant fluctuations relative to the market. As returns on the market increase, Emerging Markets' returns are expected to increase less than the market. However, during the bear market, the loss of holding Emerging Markets is expected to be smaller as well.
Auto-correlation | 0.37 |
Below average predictability
Emerging Markets Debt has below average predictability. Overlapping area represents the amount of predictability between Emerging Markets time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Emerging Markets Debt price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Emerging Markets price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Emerging Markets technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Emerging Markets Debt Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Emerging Markets Debt volatility developed by Welles Wilder.
About Emerging Markets Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Emerging Markets Debt on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Emerging Markets Debt based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Emerging Markets Debt price pattern first instead of the macroeconomic environment surrounding Emerging Markets Debt. By analyzing Emerging Markets's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Emerging Markets's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Emerging Markets specific price patterns or momentum indicators. Please read more on our technical analysis page.
Emerging Markets January 30, 2026 Technical Indicators
Most technical analysis of Emerging help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Emerging from various momentum indicators to cycle indicators. When you analyze Emerging charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.106 | |||
| Market Risk Adjusted Performance | 0.2226 | |||
| Mean Deviation | 0.1592 | |||
| Downside Deviation | 0.2197 | |||
| Coefficient Of Variation | 553.51 | |||
| Standard Deviation | 0.2063 | |||
| Variance | 0.0426 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | 0.0207 | |||
| Total Risk Alpha | 0.0127 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.2126 | |||
| Maximum Drawdown | 1.17 | |||
| Value At Risk | (0.21) | |||
| Potential Upside | 0.4242 | |||
| Downside Variance | 0.0483 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.21) | |||
| Skewness | 0.2435 | |||
| Kurtosis | 0.8987 |
Emerging Markets Debt One Year Return
Based on the recorded statements, Emerging Markets Debt has an One Year Return of 14.6012%. This is 4046.27% lower than that of the American Century Investments family and significantly higher than that of the Emerging Markets Bond category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Emerging Markets January 30, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Emerging stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.52 | ||
| Day Typical Price | 9.52 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Emerging Mutual Fund
Emerging Markets financial ratios help investors to determine whether Emerging Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Emerging with respect to the benefits of owning Emerging Markets security.
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