Globalstar Stock Forecast - 4 Period Moving Average

GSAT Stock  USD 1.21  0.02  1.68%   
The 4 Period Moving Average forecasted value of Globalstar on the next trading day is expected to be 1.20 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.35. Globalstar Stock Forecast is based on your current time horizon.
  
At this time, Globalstar's Inventory Turnover is comparatively stable compared to the past year. Payables Turnover is likely to gain to 81.31 in 2024, whereas Fixed Asset Turnover is likely to drop 0.32 in 2024. . Common Stock Shares Outstanding is likely to gain to about 1.9 B in 2024, despite the fact that Net Loss is likely to grow to (220.8 M).
Most investors in Globalstar cannot accurately predict what will happen the next trading day because, historically, stock 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 Globalstar's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Globalstar's price structures and extracts relationships that further increase the accuracy of the generated results. A four-period moving average forecast model for Globalstar is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Globalstar 4 Period Moving Average Price Forecast For the 18th of October 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Globalstar on the next trading day is expected to be 1.20 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.35.
Please note that although there have been many attempts to predict Globalstar Stock 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 Globalstar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Globalstar Stock Forecast Pattern

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Globalstar Forecasted Value

In the context of forecasting Globalstar's Stock 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. Globalstar's downside and upside margins for the forecasting period are 0.01 and 4.93, respectively. We have considered Globalstar'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
1.21
1.20
Expected Value
4.93
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Globalstar stock data series using in forecasting. Note that when a statistical model is used to represent Globalstar stock, 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 Criteria105.0249
BiasArithmetic mean of the errors 5.0E-4
MADMean absolute deviation0.0412
MAPEMean absolute percentage error0.0332
SAESum of the absolute errors2.35
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Globalstar. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Globalstar and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Globalstar

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Globalstar. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Globalstar'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
0.061.214.94
Details
Intrinsic
Valuation
LowRealHigh
0.102.015.74
Details
4 Analysts
Consensus
LowTargetHigh
3.974.364.84
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Globalstar. Your research has to be compared to or analyzed against Globalstar's peers to derive any actionable benefits. When done correctly, Globalstar'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 Globalstar.

Other Forecasting Options for Globalstar

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

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 Risk & Return  Correlation

Globalstar Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Globalstar'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 Globalstar's current price.

Globalstar Market Strength Events

Market strength indicators help investors to evaluate how Globalstar stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Globalstar shares will generate the highest return on investment. By undertsting and applying Globalstar stock market strength indicators, traders can identify Globalstar entry and exit signals to maximize returns.

Globalstar Risk Indicators

The analysis of Globalstar'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 Globalstar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting globalstar stock 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.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Globalstar Stock Analysis

When running Globalstar's price analysis, check to measure Globalstar's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Globalstar is operating at the current time. Most of Globalstar's value examination focuses on studying past and present price action to predict the probability of Globalstar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Globalstar's price. Additionally, you may evaluate how the addition of Globalstar to your portfolios can decrease your overall portfolio volatility.