FRANKLIN MUTUAL Mutual Fund Forward View - Triple Exponential Smoothing

TEDIX Fund  USD 29.96  -0.07  -0.23%   
The Triple Exponential Smoothing forecast shown here for FRANKLIN MUTUAL is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Triple Exponential Smoothing forecasted value of Franklin Mutual Global on the next trading day is expected to be 29.86 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.90.As with simple exponential smoothing, in triple exponential smoothing models past FRANKLIN MUTUAL observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Franklin Mutual Global observations. This Triple Exponential Smoothing reference page for FRANKLIN MUTUAL presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for FRANKLIN MUTUAL - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When FRANKLIN MUTUAL prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in FRANKLIN MUTUAL price movement. However, neither of these exponential smoothing models address any seasonality of Franklin Mutual Global.

Triple Exponential Smoothing Price Forecast For the 22nd of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Franklin Mutual Global on the next trading day is expected to be 29.86 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 10.90 .
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 MUTUAL'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 MUTUAL  FRANKLIN MUTUAL Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates FRANKLIN MUTUAL's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
29.96
29.86
Expected Value
30.63
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of FRANKLIN MUTUAL mutual fund data series using in forecasting. Note that when a statistical model is used to represent FRANKLIN MUTUAL 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0412
MADMean absolute deviation0.1847
MAPEMean absolute percentage error0.0059
SAESum of the absolute errors10.897
As with simple exponential smoothing, in triple exponential smoothing models past FRANKLIN MUTUAL observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Franklin Mutual Global observations.

Other Forecasting Options for FRANKLIN MUTUAL

Regardless of investment experience, understanding FRANKLIN MUTUAL's price movement is essential for anyone considering a position in FRANKLIN. Price charts for FRANKLIN Mutual Fund are often filled with noise that can lead to poor investment choices if not properly filtered.

FRANKLIN MUTUAL Related Equities

The following equities are related to FRANKLIN MUTUAL within the World Large-Stock Value space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing FRANKLIN MUTUAL 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

FRANKLIN MUTUAL Market Strength Events

Market strength indicators for FRANKLIN MUTUAL 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 FRANKLIN MUTUAL is likely to be most rewarding.

FRANKLIN MUTUAL Risk Indicators

A thorough review of FRANKLIN MUTUAL's 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 FRANKLIN MUTUAL's.
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 MUTUAL

The amount of media and story coverage tied to Franklin Mutual Global can signal where market attention is concentrating at the moment. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.