Emerging Markets Mutual Fund Forward View - Simple Moving Average
| EMRIX Fund | USD 18.25 -0.62 -3.29% |
The Simple Moving Average forecast shown here for Emerging Markets is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Simple Moving Average forecasted value of Emerging Markets Fund on the next trading day is expected to be 18.56 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.68.The simple moving average model is conceptually a linear regression of the current value of Emerging Markets Fund price series against current and previous (unobserved) value of Emerging Markets. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average reference page for Emerging Markets presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 21st of March
Given 90 days horizon, the Simple Moving Average forecasted value of Emerging Markets Fund on the next trading day is expected to be 18.56 with a mean absolute deviation of 0.23 , mean absolute percentage error of 0.10 , and the sum of the absolute errors of 13.68 .Please note that although there have been many attempts to predict Emerging Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Emerging Markets' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Emerging Markets | Emerging Markets Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Emerging Markets Fund uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Emerging Markets mutual fund data series using in forecasting. Note that when a statistical model is used to represent Emerging Markets mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 112.1664 |
| Bias | Arithmetic mean of the errors | -0.0099 |
| MAD | Mean absolute deviation | 0.2319 |
| MAPE | Mean absolute percentage error | 0.012 |
| SAE | Sum of the absolute errors | 13.685 |
Other Forecasting Options for Emerging Markets
Regardless of investment experience, understanding Emerging Markets' price movement is essential for anyone considering a position in Emerging. Price charts for Emerging Mutual Fund are often filled with noise that can lead to poor investment choices if not properly filtered.Emerging Markets Related Equities
The following equities are related to Emerging Markets within the Diversified Emerging Mkts space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Emerging Markets against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Emerging Markets Market Strength Events
Market strength indicators for Emerging Markets give investors insight into the mutual fund's responsiveness to broader market forces. Tracking these indicators provides context to make informed timing decisions and identify periods where trading Emerging Markets is likely to be most rewarding.
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 18.25 | |||
| Day Typical Price | 18.25 | |||
| Price Action Indicator | -0.31 | |||
| Period Momentum Indicator | -0.62 |
Emerging Markets Risk Indicators
A thorough review of Emerging Markets' risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis provides context for determining the appropriate level of risk to accept when holding Emerging Markets'.
| Mean Deviation | 0.949 | |||
| Semi Deviation | 1.51 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.94 | |||
| Downside Variance | 2.87 | |||
| Semi Variance | 2.27 | |||
| Expected Short fall | -0.98 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Emerging Markets
Coverage intensity for Emerging Markets Fund matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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