Bank Of America Preferred Stock Probability of Future Preferred Stock Price Finishing Under 18.22

BAC-PS Preferred Stock   21.38  0.13  0.61%   
Bank of America's future price is the expected price of Bank of America instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Bank of America performance during a given time horizon utilizing its historical volatility. Check out Bank of America Backtesting, Bank of America Valuation, Bank of America Correlation, Bank of America Hype Analysis, Bank of America Volatility, Bank of America History as well as Bank of America Performance.
For more information on how to buy Bank Preferred Stock please use our How to Invest in Bank of America guide.
  
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Bank of America Target Price Odds to finish below 18.22

The tendency of Bank Preferred Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to drop to  18.22  or more in 90 days
 21.38 90 days 18.22 
near 1
Based on a normal probability distribution, the odds of Bank of America to drop to  18.22  or more in 90 days from now is near 1 (This Bank of America probability density function shows the probability of Bank Preferred Stock to fall within a particular range of prices over 90 days) . Probability of Bank of America price to stay between  18.22  and its current price of 21.38 at the end of the 90-day period is about 13.01 .
Assuming the 90 days trading horizon Bank of America has a beta of 0.0715 suggesting as returns on the market go up, Bank of America average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Bank of America will be expected to be much smaller as well. Additionally Bank of America has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Bank of America Price Density   
       Price  

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 preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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
20.5721.3822.19
Details
Intrinsic
Valuation
LowRealHigh
20.0120.8221.63
Details
Naive
Forecast
LowNextHigh
20.5021.3122.12
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.8521.3721.89
Details

Bank of America Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bank of America is not an exception. The market had few large corrections towards the Bank of America's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Bank of America, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bank of America within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.01
β
Beta against Dow Jones0.07
σ
Overall volatility
0.56
Ir
Information ratio -0.15

Bank of America Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Bank of America for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bank of America can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Bank of America generates negative cash flow from operations

Bank of America Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Bank Preferred Stock often depends not only on the future outlook of the current and potential Bank of America's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Bank of America's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares OutstandingB
Cash And Short Term Investments458.2 B

Bank of America Technical Analysis

Bank of America's future price can be derived by breaking down and analyzing its technical indicators over time. Bank Preferred Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Bank of America. In general, you should focus on analyzing Bank Preferred Stock price patterns and their correlations with different microeconomic environments and drivers.

Bank of America Predictive Forecast Models

Bank of America's time-series forecasting models is one of many Bank of America's preferred stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Bank of America's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the preferred stock market movement and maximize returns from investment trading.

Things to note about Bank of America

Checking the ongoing alerts about Bank of America for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bank of America help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bank of America generates negative cash flow from operations

Additional Tools for Bank Preferred 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.