Eafe Fund Mutual Fund Forecast - Triple Exponential Smoothing

BGEKX Fund  USD 14.04  0.03  0.21%   
The Triple Exponential Smoothing forecasted value of The Eafe Fund on the next trading day is expected to be 14.08 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 6.98. Eafe Mutual Fund Forecast is based on your current time horizon.
  
Triple exponential smoothing for Eafe Fund - 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 Eafe Fund 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 Eafe Fund price movement. However, neither of these exponential smoothing models address any seasonality of Eafe Fund.

Eafe Fund Triple Exponential Smoothing Price Forecast For the 2nd of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of The Eafe Fund on the next trading day is expected to be 14.08 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.98.
Please note that although there have been many attempts to predict Eafe Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Eafe Fund's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Eafe Fund Mutual Fund Forecast Pattern

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Eafe Fund Forecasted Value

In the context of forecasting Eafe Fund's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Eafe Fund's downside and upside margins for the forecasting period are 13.06 and 15.10, respectively. We have considered Eafe Fund's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
14.04
14.08
Expected Value
15.10
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 Eafe Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Eafe Fund 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 -0.0159
MADMean absolute deviation0.1184
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors6.9844
As with simple exponential smoothing, in triple exponential smoothing models past Eafe Fund 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 The Eafe Fund observations.

Predictive Modules for Eafe Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eafe Fund. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
13.0214.0415.06
Details
Intrinsic
Valuation
LowRealHigh
12.9213.9414.96
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.5913.8814.18
Details

Other Forecasting Options for Eafe Fund

For every potential investor in Eafe, whether a beginner or expert, Eafe Fund's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eafe Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eafe. Basic forecasting techniques help filter out the noise by identifying Eafe Fund's price trends.

Eafe Fund Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Eafe Fund mutual fund to make a market-neutral strategy. Peer analysis of Eafe Fund could also be used in its relative valuation, which is a method of valuing Eafe Fund by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Eafe Fund Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Eafe Fund's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Eafe Fund's current price.

Eafe Fund Market Strength Events

Market strength indicators help investors to evaluate how Eafe Fund mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Eafe Fund shares will generate the highest return on investment. By undertsting and applying Eafe Fund mutual fund market strength indicators, traders can identify The Eafe Fund entry and exit signals to maximize returns.

Eafe Fund Risk Indicators

The analysis of Eafe Fund's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Eafe Fund's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eafe mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Eafe Mutual Fund

Eafe Fund financial ratios help investors to determine whether Eafe Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Eafe with respect to the benefits of owning Eafe Fund security.
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