Emerging Markets Portfolio Fund Technical Analysis
| MMKBX Fund | USD 13.65 -0.47 -3.33% |
On the 21st of March, EMERGING MARKETS is quoted at 13.65 per share. Observed technical values include Mean Deviation of 2.04, standard deviation of 6.57, and Variance of 43.12. The framework analyzes price history and volume dynamics to measure short- and intermediate-term momentum. Indicator readings are benchmarked against comparable companies.
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 |
What if' Analysis
What-if analysis for Emerging Markets Portfolio is essentially a historical sensitivity test that shows how changes in the investment horizon could have altered realized return, drawdown, and timing outcomes. This becomes more informative when investors use the backtest to challenge timing assumptions rather than to search for a perfect historical entry point.
| 12/21/2025 |
| 03/21/2026 |
Allocating 0.00 to EMERGING MARKETS on December 21, 2025 and holding to today would produce 0.00 in aggregate gains. Overall, this is a 0.0% total return in EMERGING MARKETS for the period over 90 days. EMERGING MARKETS shares sector or business overlap with Transamerica Emerging, Calamos Market, STRATEGIC ADVISERS, RBC EMERGING, and Touchstone Sands. The peer set helps position EMERGING MARKETS within its sector. The fund seeks to maximize returns by investing primarily in quality growth-oriented equity securities in emerging marke... More
EMERGING MARKETS Momentum Range Indicators Summary
Directional momentum for EMERGING MARKETS is captured through indicators that track upside and downside price ranges. This context describes price behavior relative to short-term momentum benchmarks. All observations are drawn from recorded market transactions and price feeds.
| Information Ratio | -0.09 | |||
| Maximum Drawdown | 51.99 | |||
| Value At Risk | -3.33 | |||
| Potential Upside | 1.97 |
EMERGING MARKETS Market Risk Indicators Signals
This section presents risk metrics that describe EMERGING MARKETS's historical price variability. This view provides neutral context for risk and variability. Price and volume history from exchange records underpins the dataset.| Risk Adjusted Performance | -0.07 | |||
| Jensen Alpha | -0.50 | |||
| Total Risk Alpha | 0.1299 | |||
| Treynor Ratio | -0.38 |
Mean reversion is the tendency of EMERGING MARKETS's price to return to its historical average after periods of extreme deviation. Investors who identify when EMERGING MARKETS's is significantly above or below its mean may find compelling entry or exit opportunities.
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 | -0.07 | |||
| Market Risk Adjusted Performance | -0.37 | |||
| Mean Deviation | 2.04 | |||
| Coefficient Of Variation | -987.53 | |||
| Standard Deviation | 6.57 | |||
| Variance | 43.12 | |||
| Information Ratio | -0.09 | |||
| Jensen Alpha | -0.50 | |||
| Total Risk Alpha | 0.1299 | |||
| Treynor Ratio | -0.38 | |||
| Maximum Drawdown | 51.99 | |||
| Value At Risk | -3.33 | |||
| Potential Upside | 1.97 | |||
| Skewness | -7.57 | |||
| Kurtosis | 59.83 |
Emerging Markets Backtested Returns
EMERGING MARKETS reflects a very low volatility profile within the chosen horizon. It exhibits a Sharpe Ratio (Efficiency) of 0.0695, highlighting adjusted efficiency metrics. We identified twenty technical indicators influencing the company's volatility profile. Please evaluate metrics such as mean deviation of 2.04, standard deviation of 6.57, and Variance of 43.12 to verify consistency between risk and return assumptions. The fund maintains a market beta of 1.79, which signifies a somewhat significant risk relative to the market. EMERGING MARKETS tends to amplify market moves - gaining more in rallies but giving back more during declines.
Auto-correlation | -0.32 |
Poor reverse predictability
Comparing EMERGING MARKETS's price behavior from 21st of December 2025 to 4th of February 2026 with the period from 4th of February 2026 to 21st of March 2026 produces poor reverse predictability. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Emerging Markets may be projected. The coefficient of -0.32 links nearly 32.0% of EMERGING MARKETS's present price action to its own historical movements. Given that Emerging Markets Portfolio has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
This technical view for EMERGING MARKETS centers on price movement and volume signals. The structure incorporates trend and momentum indicators. The analysis is built from recorded market activity across time frames. All figures are based on reported data and are informational in nature.
Technical Analysis
This analysis covers twenty-five data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Emerging Markets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of EMERGING MARKETS focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Momentum divergence can indicate regime transitions.
Data shown for Emerging Markets Portfolio is aggregated from fund disclosures and market reference feeds and normalized across reporting formats. Source publication cadence can introduce delays.
This content is curated and reviewed by:
Vlad Skutelnik - Macroaxis ContributorEMERGING MARKETS Technical Indicators
Technical analysis of Emerging Markets Portfolio is useful because it frames whether the current trend still looks durable or is beginning to weaken. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.07 | |||
| Market Risk Adjusted Performance | -0.37 | |||
| Mean Deviation | 2.04 | |||
| Coefficient Of Variation | -987.53 | |||
| Standard Deviation | 6.57 | |||
| Variance | 43.12 | |||
| Information Ratio | -0.09 | |||
| Jensen Alpha | -0.50 | |||
| Total Risk Alpha | 0.1299 | |||
| Treynor Ratio | -0.38 | |||
| Maximum Drawdown | 51.99 | |||
| Value At Risk | -3.33 | |||
| Potential Upside | 1.97 | |||
| Skewness | -7.57 | |||
| Kurtosis | 59.83 |
March 21, 2026 Daily Trend Indicators
Technical analysis of Emerging Markets Portfolio is useful because it frames whether the current trend still looks durable or is beginning to weaken. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 13.65 | ||
| Day Typical Price | 13.65 | ||
| Price Action Indicator | -0.23 |