Gmo Implementation Mutual Fund Forecast - Double Exponential Smoothing

GIMFX Fund  USD 12.98  0.02  0.15%   
The Double Exponential Smoothing forecasted value of Gmo Implementation Fund on the next trading day is expected to be 12.96 with a mean absolute deviation of  0.05  and the sum of the absolute errors of 2.68. Gmo Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Gmo Implementation stock prices and determine the direction of Gmo Implementation Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Gmo Implementation's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Gmo Implementation to cross-verify your projections.
  
Most investors in Gmo Implementation cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Gmo Implementation's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Gmo Implementation's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Gmo Implementation works best with periods where there are trends or seasonality.

Gmo Implementation Double Exponential Smoothing Price Forecast For the 20th of April

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Gmo Implementation Fund on the next trading day is expected to be 12.96 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.68.
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 Implementation's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gmo Implementation Mutual Fund Forecast Pattern

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Gmo Implementation Forecasted Value

In the context of forecasting Gmo Implementation'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 Implementation's downside and upside margins for the forecasting period are 12.55 and 13.36, respectively. We have considered Gmo Implementation'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
12.98
12.96
Expected Value
13.36
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Gmo Implementation mutual fund data series using in forecasting. Note that when a statistical model is used to represent Gmo Implementation 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 0.01
MADMean absolute deviation0.0455
MAPEMean absolute percentage error0.0035
SAESum of the absolute errors2.6818
When Gmo Implementation 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 Gmo Implementation Fund trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Gmo Implementation observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Gmo Implementation

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 Implementation. 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 Implementation'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
12.5512.9613.37
Details
Intrinsic
Valuation
LowRealHigh
12.4912.9013.31
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gmo Implementation. Your research has to be compared to or analyzed against Gmo Implementation's peers to derive any actionable benefits. When done correctly, Gmo Implementation'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 Implementation.

Other Forecasting Options for Gmo Implementation

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

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

Gmo Implementation 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 Implementation'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 Implementation's current price.

Gmo Implementation Market Strength Events

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

Gmo Implementation Risk Indicators

The analysis of Gmo Implementation'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 Implementation'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.

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Check out Historical Fundamental Analysis of Gmo Implementation to cross-verify your projections.
Note that the Gmo Implementation information on this page should be used as a complementary analysis to other Gmo Implementation's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Please note, there is a significant difference between Gmo Implementation's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gmo Implementation is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gmo Implementation's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.