Global Opportunity Mutual Fund Forecast - Double Exponential Smoothing

MGGPX Fund  USD 36.44  0.24  0.66%   
The Double Exponential Smoothing forecasted value of Global Opportunity Portfolio on the next trading day is expected to be 36.56 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 15.92. Global Mutual Fund Forecast is based on your current time horizon.
  
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 Global Opportunity works best with periods where there are trends or seasonality.

Global Opportunity Double Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Global Opportunity Portfolio on the next trading day is expected to be 36.56 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.12, and the sum of the absolute errors of 15.92.
Please note that although there have been many attempts to predict Global 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 Global Opportunity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Global Opportunity Mutual Fund Forecast Pattern

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Global Opportunity Forecasted Value

In the context of forecasting Global Opportunity'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. Global Opportunity's downside and upside margins for the forecasting period are 35.66 and 37.46, respectively. We have considered Global Opportunity'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
36.44
36.56
Expected Value
37.46
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 Global Opportunity mutual fund data series using in forecasting. Note that when a statistical model is used to represent Global Opportunity 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 -0.0433
MADMean absolute deviation0.2699
MAPEMean absolute percentage error0.0079
SAESum of the absolute errors15.9248
When Global Opportunity Portfolio 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 Global Opportunity Portfolio 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 Global Opportunity observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Global Opportunity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global Opportunity. 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
35.5536.4537.35
Details
Intrinsic
Valuation
LowRealHigh
32.8038.5839.48
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.1336.3636.59
Details

Other Forecasting Options for Global Opportunity

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

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

Global Opportunity 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 Global Opportunity'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 Global Opportunity's current price.

Global Opportunity Market Strength Events

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

Global Opportunity Risk Indicators

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

Global Opportunity financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Opportunity security.
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