Bank Of (Germany) Market Value
| BN9 Stock | EUR 73.90 0.55 0.74% |
| Symbol | Bank |
Bank Of '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'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.
| 12/31/2022 |
| 12/20/2024 |
If you would invest 0.00 in Bank Of on December 31, 2022 and sell it all today you would earn a total of 0.00 from holding The Bank of or generate 0.0% return on investment in Bank Of over 720 days. Bank Of is related to or competes with Pure Storage, National Bank, Ameriprise Financial, COMINTL BANK, Hyrican Informationssyst, Commonwealth Bank, and INFORMATION SVC. The Bank of New York Mellon Corporation provides a range of financial products and services to institutions, corporation... More
Bank Of 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'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 The Bank of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9726 | |||
| Information Ratio | 0.15 | |||
| Maximum Drawdown | 8.42 | |||
| Value At Risk | (1.54) | |||
| Potential Upside | 2.45 |
Bank Of Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank Of's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank Of's standard deviation. In reality, there are many statistical measures that can use Bank Of historical prices to predict the future Bank Of's volatility.| Risk Adjusted Performance | 0.1429 | |||
| Jensen Alpha | 0.217 | |||
| Total Risk Alpha | 0.1858 | |||
| Sortino Ratio | 0.2078 | |||
| Treynor Ratio | 0.6149 |
The Bank Backtested Returns
Bank Of appears to be very steady, given 3 months investment horizon. The Bank secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for The Bank of, which you can use to evaluate the volatility of the firm. Please makes use of Bank Of's Mean Deviation of 0.9983, semi deviation of 0.7574, and Risk Adjusted Performance of 0.1429 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank Of holds a performance score of 13. The firm shows a Beta (market volatility) of 0.37, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank Of's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank Of is expected to be smaller as well. Please check Bank Of's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether Bank Of's price patterns will revert.
Auto-correlation | 0.17 |
Very weak predictability
The Bank of has very weak predictability. Overlapping area represents the amount of predictability between Bank Of time series from 31st of December 2022 to 26th of December 2023 and 26th of December 2023 to 20th 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 The Bank price movement. The serial correlation of 0.17 indicates that over 17.0% of current Bank Of price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 80.91 |
The Bank lagged returns against current returns
Autocorrelation, which is Bank Of 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's stock expected returns. We can calculate the autocorrelation of Bank Of returns to help us make a trade decision. For example, suppose you find that Bank Of 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 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank Of 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 stock over time.
Current vs Lagged Prices |
| Timeline |
Bank Of Lagged Returns
When evaluating Bank Of's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank Of stock have on its future price. Bank Of 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 autocorrelation shows the relationship between Bank Of stock current value and its past values and can show if there is a momentum factor associated with investing in The Bank of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Bank Stock
Bank Of financial ratios help investors to determine whether Bank 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 security.