Agricultural Bank Stock Market Value
| ACGBF Stock | USD 0.55 0.03 5.17% |
| Symbol | Agricultural |
Agricultural Bank '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 Agricultural Bank's pink sheet 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 Agricultural Bank.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in Agricultural Bank on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding Agricultural Bank or generate 0.0% return on investment in Agricultural Bank over 30 days. Agricultural Bank is related to or competes with China Construction, National Australia, Svenska Handelsbanken, Bank of America, Industrial, Bank of America, and Commonwealth Bank. Agricultural Bank of China Limited provides corporate and retail banking products and services More
Agricultural Bank 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 Agricultural Bank's pink sheet 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 Agricultural Bank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.87 | |||
| Information Ratio | 0.1445 | |||
| Maximum Drawdown | 28.49 | |||
| Value At Risk | (7.55) | |||
| Potential Upside | 9.3 |
Agricultural Bank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Agricultural Bank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Agricultural Bank's standard deviation. In reality, there are many statistical measures that can use Agricultural Bank historical prices to predict the future Agricultural Bank's volatility.| Risk Adjusted Performance | 0.1154 | |||
| Jensen Alpha | 0.7166 | |||
| Total Risk Alpha | 0.7546 | |||
| Sortino Ratio | 0.1045 | |||
| Treynor Ratio | 0.8158 |
Agricultural Bank Backtested Returns
Agricultural Bank appears to be out of control, given 3 months investment horizon. Agricultural Bank secures Sharpe Ratio (or Efficiency) of 0.0911, which signifies that the company had a 0.0911 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Agricultural Bank, which you can use to evaluate the volatility of the firm. Please makes use of Agricultural Bank's Downside Deviation of 6.87, mean deviation of 3.21, and Risk Adjusted Performance of 0.1154 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Agricultural Bank holds a performance score of 7. The firm shows a Beta (market volatility) of 0.87, which signifies possible diversification benefits within a given portfolio. Agricultural Bank returns are very sensitive to returns on the market. As the market goes up or down, Agricultural Bank is expected to follow. Please check Agricultural Bank's total risk alpha, value at risk, expected short fall, as well as the relationship between the treynor ratio and downside variance , to make a quick decision on whether Agricultural Bank's price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Agricultural Bank has no correlation between past and present. Overlapping area represents the amount of predictability between Agricultural Bank time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Agricultural Bank price movement. The serial correlation of 0.0 indicates that just 0.0% of current Agricultural Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Agricultural Bank lagged returns against current returns
Autocorrelation, which is Agricultural Bank pink sheet'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 Agricultural Bank's pink sheet expected returns. We can calculate the autocorrelation of Agricultural Bank returns to help us make a trade decision. For example, suppose you find that Agricultural Bank has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Agricultural Bank 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 Agricultural Bank pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Agricultural Bank pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Agricultural Bank pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Agricultural Bank Lagged Returns
When evaluating Agricultural Bank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Agricultural Bank pink sheet have on its future price. Agricultural Bank 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, Agricultural Bank autocorrelation shows the relationship between Agricultural Bank pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Agricultural Bank.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Agricultural Pink Sheet
Agricultural Bank financial ratios help investors to determine whether Agricultural Pink Sheet 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 Agricultural with respect to the benefits of owning Agricultural Bank security.