BANK OF AMERICA (Argentina) Market Value
| BA-C Stock | ARS 12,926 12,666 4,871% |
| Symbol | BANK |
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.
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.
| 03/06/2024 |
| 06/04/2024 |
If you would invest 0.00 in BANK OF AMERICA on March 6, 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 90 days. BANK OF AMERICA is related to or competes with Johnson Johnson, Merck, Edesa Holding, Longvie SA, American Express, United States, and Central Puerto. 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 BANK OF AMERICA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 24.43 | |||
| Information Ratio | 0.1208 | |||
| Maximum Drawdown | 102.55 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 3.46 |
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 | 0.0858 | |||
| Jensen Alpha | 74.71 | |||
| Total Risk Alpha | 47.66 | |||
| Sortino Ratio | 2.97 | |||
| Treynor Ratio | (0.84) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BANK OF AMERICA's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
BANK OF AMERICA Backtested Returns
BANK OF AMERICA is out of control given 3 months investment horizon. BANK OF AMERICA secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the company had a 0.12% return per unit of risk over the last 3 months. We were able to interpolate thirty different technical indicators, which can help you to evaluate if expected returns of 15.49% are justified by taking the suggested risk. Use BANK OF AMERICA Coefficient Of Variation of 827.74, mean deviation of 145.42, and Semi Deviation of 8.77 to evaluate company specific risk that cannot be diversified away. BANK OF AMERICA holds a performance score of 9 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -86.37, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning BANK OF AMERICA are expected to decrease by larger amounts. On the other hand, during market turmoil, BANK OF AMERICA is expected to outperform it. Use BANK OF AMERICA total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to analyze future returns on BANK OF AMERICA.
Auto-correlation | -0.22 |
Weak reverse predictability
BANK OF AMERICA has weak reverse predictability. Overlapping area represents the amount of predictability between BANK OF AMERICA time series from 6th of March 2024 to 20th of April 2024 and 20th of April 2024 to 4th of June 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 -0.22 indicates that over 22.0% of current BANK OF AMERICA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 10.6 M |
BANK OF AMERICA 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 BANK OF AMERICA.
Regressed Prices |
| Timeline |
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Additional Information and Resources on Investing in BANK Stock
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 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 information on how to trade BANK Stock refer to our How to Trade BANK Stock guide.You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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.