Bank of America Stock Forecast - Simple Regression

BAC Stock  EUR 38.50  0.22  0.57%   
The Simple Regression forecasted value of Verizon Communications on the next trading day is expected to be 40.05 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 60.82. Bank Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Bank of America's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Bank of America 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.

Bank of America Simple Regression Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Regression forecasted value of Verizon Communications on the next trading day is expected to be 40.05 with a mean absolute deviation of 1.00, mean absolute percentage error of 1.46, and the sum of the absolute errors of 60.82.
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 America's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank of America Stock Forecast Pattern

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Bank of America Forecasted Value

In the context of forecasting Bank of America'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 America's downside and upside margins for the forecasting period are 38.92 and 41.19, respectively. We have considered Bank of America'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
38.50
40.05
Expected Value
41.19
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Bank of America stock data series using in forecasting. Note that when a statistical model is used to represent Bank of America 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 Criteria118.49
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9971
MAPEMean absolute percentage error0.0251
SAESum of the absolute errors60.8221
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 Verizon Communications historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Bank of America

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Verizon Communications. 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.
Hype
Prediction
LowEstimatedHigh
37.3638.5039.64
Details
Intrinsic
Valuation
LowRealHigh
38.0739.2140.35
Details

Other Forecasting Options for Bank of America

For every potential investor in Bank, whether a beginner or expert, Bank of America'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 America's price trends.

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

Verizon Communications 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 America'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 America's current price.

Bank of America Market Strength Events

Market strength indicators help investors to evaluate how Bank of America 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 America shares will generate the highest return on investment. By undertsting and applying Bank of America stock market strength indicators, traders can identify Verizon Communications entry and exit signals to maximize returns.

Bank of America Risk Indicators

The analysis of Bank of America'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 America'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.

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Additional Information and Resources on Investing in Bank Stock

When determining whether Verizon Communications offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Bank of America's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Verizon Communications Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Verizon Communications Stock:
Check out Historical Fundamental Analysis of Bank of America to cross-verify your projections.
For more detail on how to invest in Bank Stock please use our How to Invest in Bank of America guide.
You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Please note, there is a significant difference between Bank of America's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of America is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of America's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.