Bank of America (Germany) Market Value
| BAC Stock | EUR 38.50 0.22 0.57% |
| 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 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.
| 11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Bank of America on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding Verizon Communications or generate 0.0% return on investment in Bank of America over 30 days. Bank of America is related to or competes with T Mobile, China Mobile, ATT, ATT, Deutsche Telekom, and Deutsche Telekom. Verizon Communications Inc. offers communications, technology, information, and entertainment products and services to c... 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 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 Verizon Communications upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.54 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.98 |
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 | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.14) |
Verizon Communications Backtested Returns
Verizon Communications secures Sharpe Ratio (or Efficiency) of -0.0181, which signifies that the company had a -0.0181% return per unit of risk over the last 3 months. Verizon Communications exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bank of America's Standard Deviation of 1.14, coefficient of variation of (6,664), and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.19, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Bank of America's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of America is expected to be smaller as well. At this point, Verizon Communications has a negative expected return of -0.0205%. Please make sure to confirm Bank of America's value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Verizon Communications performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.77 |
Good predictability
Verizon Communications has good predictability. Overlapping area represents the amount of predictability between Bank of America time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 Verizon Communications price movement. The serial correlation of 0.77 indicates that around 77.0% of current Bank of America price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.51 |
Verizon Communications lagged returns against current returns
Autocorrelation, which is Bank of America 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 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 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of America 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 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 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Verizon Communications.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
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 Bank of America Correlation, Bank of America Volatility and Bank of America Alpha and Beta module to complement your research on Bank of America. 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Bank of America technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.