American Balanced Mutual Fund Forecast - 4 Period Moving Average

AMBFX Fund  USD 36.51  0.11  0.30%   
The 4 Period Moving Average forecasted value of American Balanced Fund on the next trading day is expected to be 36.42 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 11.92. American Mutual Fund Forecast is based on your current time horizon.
  
A four-period moving average forecast model for American Balanced Fund is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

American Balanced 4 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of American Balanced Fund on the next trading day is expected to be 36.42 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.92.
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 Balanced's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

American Balanced Mutual Fund Forecast Pattern

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American Balanced Forecasted Value

In the context of forecasting American Balanced'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. American Balanced's downside and upside margins for the forecasting period are 35.93 and 36.91, respectively. We have considered American Balanced'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
36.51
36.42
Expected Value
36.91
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of American Balanced mutual fund data series using in forecasting. Note that when a statistical model is used to represent American Balanced 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 Criteria108.1636
BiasArithmetic mean of the errors -0.0557
MADMean absolute deviation0.2091
MAPEMean absolute percentage error0.0058
SAESum of the absolute errors11.9175
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of American Balanced. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for American Balanced Fund and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for American Balanced

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 Balanced. 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
36.0236.5137.00
Details
Intrinsic
Valuation
LowRealHigh
35.8436.3336.82
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.3736.4736.58
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as American Balanced. Your research has to be compared to or analyzed against American Balanced's peers to derive any actionable benefits. When done correctly, American Balanced's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in American Balanced.

Other Forecasting Options for American Balanced

For every potential investor in American, whether a beginner or expert, American Balanced's 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 Balanced's price trends.

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

American Balanced 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 Balanced'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 American Balanced's current price.

American Balanced Market Strength Events

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

American Balanced Risk Indicators

The analysis of American Balanced'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 American Balanced's 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 Balanced 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 Balanced security.
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