FRANKLIN EMERGING Mutual Fund Forward View
| FEMDX Fund | USD 12.69 -0.06 -0.47% |
Franklin Emerging Market's Naive Prediction reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for FRANKLIN EMERGING. This page is updated as new daily closing prices become available for FRANKLIN EMERGING.
The Naive Prediction forecasted value of Franklin Emerging Market on the next trading day is expected to be 12.76 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.54.This model is not at all useful as a medium-long range forecasting tool of Franklin Emerging Market. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict FRANKLIN EMERGING. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. All Naive Prediction forecast figures shown for Franklin Emerging Market are reference data reflecting model output based on available historical prices. Naive Prediction Price Forecast For the 23rd of March
Given 90 days horizon, the Naive Prediction forecasted value of Franklin Emerging Market on the next trading day is expected to be 12.76 with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.0012 , and the sum of the absolute errors of 1.54 .Please note that although there have been many attempts to predict FRANKLIN 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 FRANKLIN EMERGING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest FRANKLIN EMERGING | FRANKLIN EMERGING Price Prediction | Research Analysis |
Forecasted Value
Forecasting Franklin Emerging Market for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of FRANKLIN EMERGING mutual fund data series using in forecasting. Note that when a statistical model is used to represent FRANKLIN EMERGING 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 | 111.3801 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0252 |
| MAPE | Mean absolute percentage error | 0.002 |
| SAE | Sum of the absolute errors | 1.5385 |
Other Forecasting Options for FRANKLIN EMERGING
Bollinger Bands applied to FRANKLIN Mutual Fund price data measure how far FRANKLIN has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to FRANKLIN EMERGING's price data. On-balance volume for FRANKLIN Mutual Fund creates a running indicator of buying versus selling pressure in FRANKLIN. Price departures from the channel boundary often mean-revert, offering tactical signals for FRANKLIN EMERGING's.FRANKLIN EMERGING Related Equities
These stocks are related to FRANKLIN EMERGING within the Emerging Markets Bond space and can be used for peer review, pricing, or spreading risk. Market cap and total value checks frame FRANKLIN EMERGING's size within the competitive field.
| Risk & Return | Correlation |
FRANKLIN EMERGING Market Strength Events
For investors tracking Franklin Emerging Market, market strength indicators offer quantitative evaluation of mutual fund behavior. By using these indicators, traders can make more informed decisions about when to buy or sell Franklin Emerging Market. These indicators capture shifts in momentum that may precede significant price moves in FRANKLIN EMERGING. These metrics provide actionable context for both entry and risk management decisions around Franklin Emerging Market.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 12.69 | |||
| Day Typical Price | 12.69 | |||
| Price Action Indicator | -0.03 | |||
| Period Momentum Indicator | -0.06 | |||
| Relative Strength Index | 45.53 |
FRANKLIN EMERGING Risk Indicators
Analyzing FRANKLIN EMERGING's basic risk indicators provides investors with a structured view of the risk-return trade-off for franklin mutual fund. By identifying the level of risk embedded in FRANKLIN EMERGING's investment, investors can make informed decisions about position sizing. Analyzing FRANKLIN EMERGING's risk indicators gives investors important context for price forecasting. Understanding the risk in FRANKLIN EMERGING's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 0.219 | |||
| Semi Deviation | 0.2472 | |||
| Standard Deviation | 0.304 | |||
| Variance | 0.0924 | |||
| Downside Variance | 0.1443 | |||
| Semi Variance | 0.0611 | |||
| Expected Short fall | -0.23 |
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 FRANKLIN EMERGING
A coverage review of Franklin Emerging Market shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.