Emerging Markets Mutual Fund Forward View - Simple Moving Average
| UIEMX Fund | USD 27.30 0.20 0.74% |
This page documents Simple Moving Average forecast output for Emerging Markets Fund as reference data. The model is applied to historical closing prices and the resulting projection and error statistics are shown below.
The Simple Moving Average forecasted value of Emerging Markets Fund on the next trading day is expected to be 27.30 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.46.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 The Simple Moving Average reference information for Emerging Markets is based on available price data and is intended for informational purposes. Simple Moving Average Price Forecast For the 19th 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 27.30 with a mean absolute deviation of 0.31 , mean absolute percentage error of 0.17 , and the sum of the absolute errors of 18.46 .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. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 | 114.4763 |
| Bias | Arithmetic mean of the errors | -0.0797 |
| MAD | Mean absolute deviation | 0.3076 |
| MAPE | Mean absolute percentage error | 0.0113 |
| SAE | Sum of the absolute errors | 18.455 |
Other Forecasting Options for Emerging Markets
Any investor evaluating Emerging must grapple with the challenge of interpreting Emerging Markets' price movement accurately. Emerging Mutual Fund price charts typically contain substantial noise that can complicate analysis and lead to poor decisions.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 assess how the mutual fund responds to ongoing changes in market conditions and investor sentiment. By monitoring these indicators, investors can identify the most opportune moments to trade Emerging Markets Fund.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 27.3 | |||
| Day Typical Price | 27.3 | |||
| Price Action Indicator | 0.1 | |||
| Period Momentum Indicator | 0.2 | |||
| Relative Strength Index | 52.74 |
Emerging Markets Risk Indicators
Risk indicator analysis for Emerging Markets is a critical component of accurate price forecasting and sound investment decision-making. By identifying how much risk is embedded in Emerging Markets' investment, investors can decide how to position and protect their exposure.
| Mean Deviation | 0.9526 | |||
| Semi Deviation | 1.12 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.89 | |||
| Downside Variance | 2.1 | |||
| Semi Variance | 1.26 | |||
| Expected Short fall | -1.04 |
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. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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