Amg Managers Mutual Fund Forecast - Simple Exponential Smoothing

MIMFX Fund  USD 14.52  0.11  0.76%   
The Simple Exponential Smoothing forecasted value of Amg Managers Emerging on the next trading day is expected to be 14.52 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.43. Amg Mutual Fund Forecast is based on your current time horizon.
  
Amg Managers 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 Amg Managers Emerging are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Amg Managers Emerging prices get older.

Amg Managers Simple Exponential Smoothing Price Forecast For the 26th of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Amg Managers Emerging on the next trading day is expected to be 14.52 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.14, and the sum of the absolute errors of 15.43.
Please note that although there have been many attempts to predict Amg 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 Amg Managers' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Amg Managers Mutual Fund Forecast Pattern

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Amg Managers Forecasted Value

In the context of forecasting Amg Managers' 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. Amg Managers' downside and upside margins for the forecasting period are 12.17 and 16.87, respectively. We have considered Amg Managers' 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
14.52
14.52
Expected Value
16.87
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 Amg Managers mutual fund data series using in forecasting. Note that when a statistical model is used to represent Amg Managers 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 Criteria116.1356
BiasArithmetic mean of the errors 0.0326
MADMean absolute deviation0.2529
MAPEMean absolute percentage error0.0161
SAESum of the absolute errors15.4286
This simple exponential smoothing model begins by setting Amg Managers Emerging forecast for the second period equal to the observation of the first period. In other words, recent Amg Managers observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Amg Managers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Amg Managers Emerging. 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
12.1714.5216.87
Details
Intrinsic
Valuation
LowRealHigh
11.3713.7216.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Amg Managers. Your research has to be compared to or analyzed against Amg Managers' peers to derive any actionable benefits. When done correctly, Amg Managers' 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 Amg Managers Emerging.

Other Forecasting Options for Amg Managers

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

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

Amg Managers Emerging 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 Amg Managers' 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 Amg Managers' current price.

Amg Managers Market Strength Events

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

Amg Managers Risk Indicators

The analysis of Amg Managers' 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 Amg Managers' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting amg 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 Amg Mutual Fund

Amg Managers financial ratios help investors to determine whether Amg 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 Amg with respect to the benefits of owning Amg Managers security.
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