Global Technology Mutual Fund Forecast - Polynomial Regression

JGLTX Fund  USD 21.16  0.15  0.70%   
The Polynomial Regression forecasted value of Global Technology Portfolio on the next trading day is expected to be 21.28 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.44. Global Mutual Fund Forecast is based on your current time horizon.
  
Global Technology polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Global Technology Portfolio as well as the accuracy indicators are determined from the period prices.

Global Technology Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Global Technology Portfolio on the next trading day is expected to be 21.28 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.11, and the sum of the absolute errors of 15.44.
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 Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Global Technology Mutual Fund Forecast Pattern

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Global Technology Forecasted Value

In the context of forecasting Global Technology'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 Technology's downside and upside margins for the forecasting period are 20.00 and 22.56, respectively. We have considered Global Technology'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
21.16
21.28
Expected Value
22.56
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Global Technology mutual fund data series using in forecasting. Note that when a statistical model is used to represent Global Technology 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 Criteria115.8712
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2532
MAPEMean absolute percentage error0.0125
SAESum of the absolute errors15.4435
A single variable polynomial regression model attempts to put a curve through the Global Technology historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Global Technology

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 Technology. 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 Global Technology'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
19.8721.1622.45
Details
Intrinsic
Valuation
LowRealHigh
19.6120.9022.19
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.2821.0021.72
Details

Other Forecasting Options for Global Technology

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

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

Global Technology 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 Technology'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 Technology's current price.

Global Technology Market Strength Events

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

Global Technology Risk Indicators

The analysis of Global Technology'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 Technology'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 Technology 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 Technology security.
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