Bank of America Stock Forward View - Simple Regression
| BAC Stock | EUR 41.49 0.72 1.77% |
Bank Stock outlook is based on your current time horizon.
The relative strength momentum indicator of Bank of America's share price is above 70 at this time suggesting that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Bank, making its price go up or down. Momentum 77
Buy Stretched
Oversold | Overbought |
Using Bank of America hype-based prediction, you can estimate the value of Verizon Communications from the perspective of Bank of America response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Verizon Communications on the next trading day is expected to be 38.83 with a mean absolute deviation of 1.84 and the sum of the absolute errors of 114.22. Bank of America after-hype prediction price | EUR 41.52 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Bank |
Bank of America Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Bank of America Simple Regression Price Forecast For the 21st of February
Given 90 days horizon, the Simple Regression forecasted value of Verizon Communications on the next trading day is expected to be 38.83 with a mean absolute deviation of 1.84, mean absolute percentage error of 4.44, and the sum of the absolute errors of 114.22.Please note that although there have been many attempts to predict Bank Stock prices using its time series forecasting, we generally do not suggest 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
| Backtest Bank of America | Bank of America Price Prediction | Research Analysis |
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 36.96 and 40.70, 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.
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.| AIC | Akaike Information Criteria | 121.438 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.8423 |
| MAPE | Mean absolute percentage error | 0.0516 |
| SAE | Sum of the absolute errors | 114.223 |
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.Bank of America After-Hype Price Density Analysis
As far as predicting the price of Bank of America at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Bank of America or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Bank of America, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bank of America Estimiated After-Hype Price Volatility
In the context of predicting Bank of America's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bank of America's historical news coverage. Bank of America's after-hype downside and upside margins for the prediction period are 39.62 and 43.42, respectively. We have considered Bank of America's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Bank of America is very steady at this time. Analysis and calculation of next after-hype price of Verizon Communications is based on 3 months time horizon.
Bank of America Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Bank of America is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bank of America backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Bank of America, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.33 | 1.87 | 0.08 | 0.02 | 6 Events / Month | 1 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
41.49 | 41.52 | 0.07 |
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Bank of America Hype Timeline
Verizon Communications is currently traded for 41.49on Dusseldorf Exchange of Germany. The entity has historical hype elasticity of -0.08, and average elasticity to hype of competition of 0.02. Bank is forecasted to increase in value after the next headline, with the price projected to jump to 41.52 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is anticipated to be 0.07%, whereas the daily expected return is currently at 0.33%. The volatility of related hype on Bank of America is about 3740.0%, with the expected price after the next announcement by competition of 41.51. The company reported the revenue of 134.79 B. Net Income was 17.51 B with profit before overhead, payroll, taxes, and interest of 74.65 B. Assuming the 90 days trading horizon the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of Bank of America to cross-verify your projections.Bank of America Related Hype Analysis
Having access to credible news sources related to Bank of America's direct competition is more important than ever and may enhance your ability to predict Bank of America's future price movements. Getting to know how Bank of America's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Bank of America may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 3GH | Kaufman Broad SA | (0.45) | 3 per month | 1.34 | 0.02 | 3.25 | (2.16) | 11.62 | |
| GZ3 | Yuexiu Transport Infrastructure | 0.00 | 3 per month | 0.00 | (0.04) | 4.26 | (2.13) | 11.89 | |
| J73 | BROADPEAK SA EO | 0.05 | 1 per month | 2.46 | 0.04 | 6.49 | (5.48) | 19.85 | |
| PO6 | Penta Ocean Construction Co | 0.20 | 3 per month | 2.25 | 0.16 | 6.09 | (4.57) | 13.57 | |
| TCW | Tokyu Construction Co | (0.05) | 3 per month | 1.12 | 0.23 | 5.47 | (2.74) | 13.53 | |
| N5Z | North American Construction | (0.40) | 7 per month | 2.13 | 0.05 | 3.48 | (2.56) | 10.49 | |
| 8L8 | Liberty Broadband | 1.00 | 6 per month | 1.86 | 0.05 | 3.94 | (3.38) | 14.69 |
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 |
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.
| Mean Deviation | 1.17 | |||
| Semi Deviation | 1.04 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.32 | |||
| Downside Variance | 1.6 | |||
| Semi Variance | 1.07 | |||
| Expected Short fall | (1.34) |
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.
Story Coverage note for Bank of America
The number of cover stories for Bank of America depends on current market conditions and Bank of America's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bank of America is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Bank of America's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Tools for Bank Stock Analysis
When running Bank of America's price analysis, check to measure Bank of America's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank of America is operating at the current time. Most of Bank of America's value examination focuses on studying past and present price action to predict the probability of Bank of America's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of America's price. Additionally, you may evaluate how the addition of Bank of America to your portfolios can decrease your overall portfolio volatility.