AIRTEL MALAWI Stock Forecast - Simple Regression
Investors can use prediction functions to forecast AIRTEL MALAWI's stock prices and determine the direction of AIRTEL MALAWI PLC'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 AIRTEL MALAWI's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities 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 income.
Simple Regression model is a single variable regression model that attempts to put a straight line through AIRTEL MALAWI price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as AIRTEL MALAWI PLC historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.AIRTEL |
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 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 | 1.45 | |||
| Semi Deviation | 0.9395 | |||
| Standard Deviation | 2.85 | |||
| Variance | 8.13 | |||
| Downside Variance | 5.81 | |||
| Semi Variance | 0.8826 | |||
| Expected Short fall | (2.34) |
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.