BANK OF AFRICA Stock Forecast - Polynomial Regression

BANK-OF-AFRICA   195.00  3.00  1.56%   
The Polynomial Regression forecasted value of BANK OF AFRICA on the next trading day is expected to be 193.08 with a mean absolute deviation of 1.48 and the sum of the absolute errors of 90.56. Investors can use prediction functions to forecast BANK OF AFRICA's stock prices and determine the direction of BANK OF AFRICA'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 BANK OF AFRICA'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 board of governors.
  
BANK OF AFRICA polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BANK OF AFRICA as well as the accuracy indicators are determined from the period prices.

BANK OF AFRICA Polynomial Regression Price Forecast For the 14th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of BANK OF AFRICA on the next trading day is expected to be 193.08 with a mean absolute deviation of 1.48, mean absolute percentage error of 3.27, and the sum of the absolute errors of 90.56.
Please note that although there have been many attempts to predict BANK 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 BANK OF AFRICA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BANK OF AFRICA Stock Forecast Pattern

BANK OF AFRICA Forecasted Value

In the context of forecasting BANK OF AFRICA'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. BANK OF AFRICA's downside and upside margins for the forecasting period are 192.23 and 193.94, respectively. We have considered BANK OF AFRICA'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
195.00
192.23
Downside
193.08
Expected Value
193.94
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 BANK OF AFRICA stock data series using in forecasting. Note that when a statistical model is used to represent BANK OF AFRICA 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 Criteria119.2958
BiasArithmetic mean of the errors None
MADMean absolute deviation1.4846
MAPEMean absolute percentage error0.0077
SAESum of the absolute errors90.5608
A single variable polynomial regression model attempts to put a curve through the BANK OF AFRICA 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 BANK OF AFRICA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BANK OF AFRICA. 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.

Other Forecasting Options for BANK OF AFRICA

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

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

BANK OF AFRICA 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 BANK OF AFRICA'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 BANK OF AFRICA's current price.

BANK OF AFRICA Market Strength Events

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

BANK OF AFRICA Risk Indicators

The analysis of BANK OF AFRICA'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 BANK OF AFRICA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank 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.

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.