American Funds Mutual Fund Forecast - Simple Exponential Smoothing

RIVJX Fund  USD 17.08  0.10  0.58%   
The Simple Exponential Smoothing forecasted value of American Funds International on the next trading day is expected to be 17.08 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.96. American Mutual Fund Forecast is based on your current time horizon.
  
American Funds simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for American Funds International are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as American Funds Inter prices get older.

American Funds Simple Exponential Smoothing Price Forecast For the 16th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of American Funds International on the next trading day is expected to be 17.08 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.96.
Please note that although there have been many attempts to predict American 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 American Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

American Funds Mutual Fund Forecast Pattern

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American Funds Forecasted Value

In the context of forecasting American Funds' 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. American Funds' downside and upside margins for the forecasting period are 16.32 and 17.84, respectively. We have considered American Funds' 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
17.08
17.08
Expected Value
17.84
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of American Funds mutual fund data series using in forecasting. Note that when a statistical model is used to represent American Funds 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 Criteria112.1619
BiasArithmetic mean of the errors 0.0117
MADMean absolute deviation0.0993
MAPEMean absolute percentage error0.0057
SAESum of the absolute errors5.96
This simple exponential smoothing model begins by setting American Funds International forecast for the second period equal to the observation of the first period. In other words, recent American Funds observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for American Funds

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as American Funds Inter. 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
16.7617.5218.28
Details
Intrinsic
Valuation
LowRealHigh
16.4817.2418.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
17.0217.2817.54
Details

Other Forecasting Options for American Funds

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

American Funds 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 American Funds mutual fund to make a market-neutral strategy. Peer analysis of American Funds could also be used in its relative valuation, which is a method of valuing American Funds by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

American Funds Inter 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 American Funds' 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 American Funds' current price.

American Funds Market Strength Events

Market strength indicators help investors to evaluate how American Funds 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 American Funds shares will generate the highest return on investment. By undertsting and applying American Funds mutual fund market strength indicators, traders can identify American Funds International entry and exit signals to maximize returns.

American Funds Risk Indicators

The analysis of American Funds' 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 American Funds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting american 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 American Mutual Fund

American Funds financial ratios help investors to determine whether American 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 American with respect to the benefits of owning American Funds security.
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