AIRTEL MALAWI Stock Forecast - Polynomial Regression
| AIRTEL Stock | 99.80 0.02 0.02% |
AIRTEL |
AIRTEL MALAWI Polynomial Regression Price Forecast For the 12th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of AIRTEL MALAWI PLC on the next trading day is expected to be 112.91 with a mean absolute deviation of 3.07, mean absolute percentage error of 14.83, and the sum of the absolute errors of 187.32.Please note that although there have been many attempts to predict AIRTEL 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 AIRTEL MALAWI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AIRTEL MALAWI Stock Forecast Pattern
AIRTEL MALAWI Forecasted Value
In the context of forecasting AIRTEL MALAWI'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. AIRTEL MALAWI's downside and upside margins for the forecasting period are 109.89 and 115.93, respectively. We have considered AIRTEL MALAWI'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.
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 AIRTEL MALAWI stock data series using in forecasting. Note that when a statistical model is used to represent AIRTEL MALAWI 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.| AIC | Akaike Information Criteria | 120.8069 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.0709 |
| MAPE | Mean absolute percentage error | 0.047 |
| SAE | Sum of the absolute errors | 187.3223 |
Predictive Modules for AIRTEL MALAWI
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AIRTEL MALAWI PLC. 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 AIRTEL MALAWI'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 AIRTEL MALAWI
For every potential investor in AIRTEL, whether a beginner or expert, AIRTEL MALAWI's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AIRTEL Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AIRTEL. Basic forecasting techniques help filter out the noise by identifying AIRTEL MALAWI's price trends.AIRTEL MALAWI 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 AIRTEL MALAWI stock to make a market-neutral strategy. Peer analysis of AIRTEL MALAWI could also be used in its relative valuation, which is a method of valuing AIRTEL MALAWI by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AIRTEL MALAWI PLC 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 AIRTEL MALAWI'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 AIRTEL MALAWI's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
AIRTEL MALAWI Market Strength Events
Market strength indicators help investors to evaluate how AIRTEL MALAWI stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AIRTEL MALAWI shares will generate the highest return on investment. By undertsting and applying AIRTEL MALAWI stock market strength indicators, traders can identify AIRTEL MALAWI PLC entry and exit signals to maximize returns.
AIRTEL MALAWI Risk Indicators
The analysis of AIRTEL MALAWI'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 AIRTEL MALAWI's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting airtel 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.
| Mean Deviation | 1.94 | |||
| Standard Deviation | 2.98 | |||
| Variance | 8.87 | |||
| Downside Variance | 0.0018 | |||
| Semi Variance | (1.25) | |||
| Expected Short fall | (2.14) |
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.