Gmo Opportunistic Mutual Fund Forecast - Naive Prediction

GAAAX Fund  USD 24.26  0.01  0.04%   
The Naive Prediction forecasted value of Gmo Opportunistic Income on the next trading day is expected to be 24.20 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.48. Gmo Mutual Fund Forecast is based on your current time horizon.
  
A naive forecasting model for Gmo Opportunistic is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Gmo Opportunistic Income value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Gmo Opportunistic Naive Prediction Price Forecast For the 14th of October 2024

Given 90 days horizon, the Naive Prediction forecasted value of Gmo Opportunistic Income on the next trading day is expected to be 24.20 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.001, and the sum of the absolute errors of 1.48.
Please note that although there have been many attempts to predict Gmo 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 Gmo Opportunistic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gmo Opportunistic Mutual Fund Forecast Pattern

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Gmo Opportunistic Forecasted Value

In the context of forecasting Gmo Opportunistic'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. Gmo Opportunistic's downside and upside margins for the forecasting period are 24.09 and 24.31, respectively. We have considered Gmo Opportunistic'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
24.26
24.20
Expected Value
24.31
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Gmo Opportunistic mutual fund data series using in forecasting. Note that when a statistical model is used to represent Gmo Opportunistic 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 Criteria111.1924
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0243
MAPEMean absolute percentage error0.001
SAESum of the absolute errors1.484
This model is not at all useful as a medium-long range forecasting tool of Gmo Opportunistic Income. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Gmo Opportunistic. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Gmo Opportunistic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gmo Opportunistic Income. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Opportunistic's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
24.1524.2624.37
Details
Intrinsic
Valuation
LowRealHigh
22.1722.2826.69
Details
Bollinger
Band Projection (param)
LowMiddleHigh
24.1324.2724.41
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gmo Opportunistic. Your research has to be compared to or analyzed against Gmo Opportunistic's peers to derive any actionable benefits. When done correctly, Gmo Opportunistic'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 Gmo Opportunistic Income.

Other Forecasting Options for Gmo Opportunistic

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

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

Gmo Opportunistic Income 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 Gmo Opportunistic'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 Gmo Opportunistic's current price.

Gmo Opportunistic Market Strength Events

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

Gmo Opportunistic Risk Indicators

The analysis of Gmo Opportunistic'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 Gmo Opportunistic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gmo 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 Gmo Mutual Fund

Gmo Opportunistic financial ratios help investors to determine whether Gmo 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 Gmo with respect to the benefits of owning Gmo Opportunistic security.
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