Bank Of America Preferred Stock Market Value
| BML-PG Preferred Stock | USD 22.98 0.25 1.10% |
| Symbol | Bank |
Bank of America 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bank of America's preferred stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bank of America.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Bank of America on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Bank of America or generate 0.0% return on investment in Bank of America over 30 days. Bank of America is related to or competes with Bank of America, Bank of America, China Construction, Bank of America, Agricultural Bank, Industrial, and Bank of America. Bank of America Corporation, through its subsidiaries, provides banking and financial products and services for individu... More
Bank of America Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bank of America's preferred stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Bank of America upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.706 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 2.56 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 0.97 |
Bank of America Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of America's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of America's standard deviation. In reality, there are many statistical measures that can use Bank of America historical prices to predict the future Bank of America's volatility.| Risk Adjusted Performance | 0.0656 | |||
| Jensen Alpha | 0.0618 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | (0.28) |
Bank of America Backtested Returns
At this point, Bank of America is very steady. Bank of America secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Bank of America, which you can use to evaluate the volatility of the firm. Please confirm Bank of America's Risk Adjusted Performance of 0.0656, mean deviation of 0.4309, and Downside Deviation of 0.706 to double-check if the risk estimate we provide is consistent with the expected return of 0.0819%. Bank of America has a performance score of 11 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.15, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Bank of America are expected to decrease at a much lower rate. During the bear market, Bank of America is likely to outperform the market. Bank of America right now shows a risk of 0.57%. Please confirm Bank of America total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to decide if Bank of America will be following its price patterns.
Auto-correlation | 0.60 |
Good predictability
Bank of America has good predictability. Overlapping area represents the amount of predictability between Bank of America time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bank of America price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Bank of America price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Bank of America lagged returns against current returns
Autocorrelation, which is Bank of America preferred stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Bank of America's preferred stock expected returns. We can calculate the autocorrelation of Bank of America returns to help us make a trade decision. For example, suppose you find that Bank of America has exhibited high autocorrelation historically, and you observe that the preferred stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Bank of America regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Bank of America preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of America preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank of America preferred stock over time.
Current vs Lagged Prices |
| Timeline |
Bank of America Lagged Returns
When evaluating Bank of America's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of America preferred stock have on its future price. Bank of America autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Bank of America autocorrelation shows the relationship between Bank of America preferred stock current value and its past values and can show if there is a momentum factor associated with investing in Bank of America.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Bank Preferred Stock
Bank of America financial ratios help investors to determine whether Bank Preferred Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank of America security.