ECONET WIRELESS Stock Forecast - Simple Exponential Smoothing

ECO Stock   303.95  1.35  0.45%   
The Simple Exponential Smoothing forecasted value of ECONET WIRELESS HOLDINGS on the next trading day is expected to be 303.95 with a mean absolute deviation of 16.47 and the sum of the absolute errors of 1,005. Investors can use prediction functions to forecast ECONET WIRELESS's stock prices and determine the direction of ECONET WIRELESS HOLDINGS's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of ECONET WIRELESS's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in interest.
  
ECONET WIRELESS simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for ECONET WIRELESS HOLDINGS are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as ECONET WIRELESS HOLDINGS prices get older.

ECONET WIRELESS Simple Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of ECONET WIRELESS HOLDINGS on the next trading day is expected to be 303.95 with a mean absolute deviation of 16.47, mean absolute percentage error of 575.92, and the sum of the absolute errors of 1,005.
Please note that although there have been many attempts to predict ECONET 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 ECONET WIRELESS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ECONET WIRELESS Stock Forecast Pattern

ECONET WIRELESS Forecasted Value

In the context of forecasting ECONET WIRELESS'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. ECONET WIRELESS's downside and upside margins for the forecasting period are 297.91 and 309.99, respectively. We have considered ECONET WIRELESS'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
303.95
297.91
Downside
303.95
Expected Value
309.99
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of ECONET WIRELESS stock data series using in forecasting. Note that when a statistical model is used to represent ECONET WIRELESS 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 Criteria124.4665
BiasArithmetic mean of the errors 3.1602
MADMean absolute deviation16.4716
MAPEMean absolute percentage error0.0436
SAESum of the absolute errors1004.77
This simple exponential smoothing model begins by setting ECONET WIRELESS HOLDINGS forecast for the second period equal to the observation of the first period. In other words, recent ECONET WIRELESS observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for ECONET WIRELESS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ECONET WIRELESS HOLDINGS. 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 ECONET WIRELESS'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.

Other Forecasting Options for ECONET WIRELESS

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

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

ECONET WIRELESS HOLDINGS 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 ECONET WIRELESS'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 ECONET WIRELESS's current price.

ECONET WIRELESS Market Strength Events

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

ECONET WIRELESS Risk Indicators

The analysis of ECONET WIRELESS'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 ECONET WIRELESS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting econet 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.

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