Bank of America Stock Forecast - Polynomial Regression
| BAC Stock | USD 47.77 0.02 0.04% |
The Polynomial Regression forecasted value of Bank of America on the next trading day is expected to be 48.45 with a mean absolute deviation of 0.61 and the sum of the absolute errors of 37.57. Bank Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bank of America stock prices and determine the direction of Bank of America's future trends based on various well-known forecasting models. 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.
Bank |
Open Interest Against 2024-11-29 Bank Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Bank of America's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Bank of America's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Bank of America stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Bank of America's open interest, investors have to compare it to Bank of America's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Bank of America is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Bank. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Bank of America Polynomial Regression Price Forecast For the 29th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Bank of America on the next trading day is expected to be 48.45 with a mean absolute deviation of 0.61, mean absolute percentage error of 0.62, and the sum of the absolute errors of 37.57.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 46.83 and 50.08, 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 Polynomial 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 | 119.4747 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.6059 |
| MAPE | Mean absolute percentage error | 0.0144 |
| SAE | Sum of the absolute errors | 37.5653 |
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 Bank of America. 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 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 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.| Cycle Indicators | ||
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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 Bank of America 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 | 1.08 | |||
| Semi Deviation | 0.6553 | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.54 | |||
| Downside Variance | 0.8891 | |||
| Semi Variance | 0.4294 | |||
| Expected Short fall | (1.36) |
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.When determining whether Bank of America 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 Bank Of America Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Bank Of America Stock:Check out Historical Fundamental Analysis of Bank of America to cross-verify your projections. For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Is Diversified Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Bank of America. If investors know Bank will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bank of America listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.10) | Dividend Share 0.98 | Earnings Share 2.76 | Revenue Per Share 11.95 | Quarterly Revenue Growth (0.01) |
The market value of Bank of America is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of America's value that differs from its market value or its book value, called intrinsic value, which is Bank of America's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank of America's market value can be influenced by many factors that don't directly affect Bank of America's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
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.