Bank Of (Brazil) Market Value
| BONY34 Stock | BRL 303.00 3.60 1.20% |
| 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.
| 02/18/2024 |
| 05/18/2024 |
If you would invest 0.00 in Bank Of on February 18, 2024 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 90 days. Bank Of is related to or competes with United Rentals, Ross Stores, Charter Communications, Verizon Communications, British American, Metalurgica Gerdau, and MAHLE Metal. The Bank of New York Mellon Corporation provides a range of financial products and services in the United States and int... 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 | 1.17 | |||
| Information Ratio | 0.0837 | |||
| Maximum Drawdown | 4.78 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.94 |
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 | 0.1086 | |||
| Jensen Alpha | 0.1445 | |||
| Total Risk Alpha | 0.0165 | |||
| Sortino Ratio | 0.0756 | |||
| Treynor Ratio | 0.4757 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank Of'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.
The Bank Backtested Returns
We consider Bank Of very steady. The Bank secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18% 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 confirm Bank Of's Risk Adjusted Performance of 0.1086, semi deviation of 0.8414, and Mean Deviation of 0.7895 to double-check if the risk estimate we provide is consistent with the expected return of 0.19%. Bank Of has a performance score of 13 on a scale of 0 to 100. 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. The Bank right now shows a risk of 1.05%. Please confirm The Bank jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to decide if The Bank will be following its price patterns.
Auto-correlation | 0.62 |
Good predictability
The Bank of has good predictability. Overlapping area represents the amount of predictability between Bank Of time series from 18th of February 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th of May 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 0.62 indicates that roughly 62.0% of current Bank Of price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 48.28 |
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 |
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Check out Bank Of Correlation, Bank Of Volatility and Bank Of Alpha and Beta module to complement your research on Bank Of. Note that the The Bank information on this page should be used as a complementary analysis to other Bank Of's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for Bank Stock analysis
When running Bank Of's price analysis, check to measure Bank Of'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 is operating at the current time. Most of Bank Of's value examination focuses on studying past and present price action to predict the probability of Bank Of'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's price. Additionally, you may evaluate how the addition of Bank Of to your portfolios can decrease your overall portfolio volatility.
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Bank Of 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.