Agricultural Bank (China) Market Value
| 601288 Stock | 5.17 0.05 0.98% |
| 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 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 Agricultural Bank.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in Agricultural Bank on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Agricultural Bank of or generate 0.0% return on investment in Agricultural Bank over 90 days. Agricultural Bank is related to or competes with Offshore Oil, Hefei Metalforming, Goldlok Toys, CSSC Offshore, Union Semiconductor, Anhui Tongguan, and JCHX Mining. Agricultural Bank is entity of China. It is traded as Stock on SHG exchange. 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 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 Agricultural Bank of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.29 | |||
| Information Ratio | 0.1196 | |||
| Maximum Drawdown | 7.85 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 2.2 |
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 | 0.0451 | |||
| Jensen Alpha | 0.0627 | |||
| Total Risk Alpha | 0.1823 | |||
| Sortino Ratio | 0.1123 | |||
| Treynor Ratio | 0.3296 |
Agricultural Bank Backtested Returns
At this point, Agricultural Bank is not too volatile. Agricultural Bank secures Sharpe Ratio (or Efficiency) of 0.0284, which signifies that the company had a 0.0284 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Agricultural Bank of, which you can use to evaluate the volatility of the firm. Please confirm Agricultural Bank's Risk Adjusted Performance of 0.0451, downside deviation of 1.29, and Mean Deviation of 0.9008 to double-check if the risk estimate we provide is consistent with the expected return of 0.0344%. Agricultural Bank has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.15, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Agricultural Bank's returns are expected to increase less than the market. However, during the bear market, the loss of holding Agricultural Bank is expected to be smaller as well. Agricultural Bank right now shows a risk of 1.21%. Please confirm Agricultural Bank standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to decide if Agricultural Bank will be following its price patterns.
Auto-correlation | 0.20 |
Weak predictability
Agricultural Bank of has weak predictability. Overlapping area represents the amount of predictability between Agricultural Bank time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th of March 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 0.2 indicates that over 20.0% of current Agricultural Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Agricultural Bank lagged returns against current returns
Autocorrelation, which is Agricultural Bank 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 Agricultural Bank's stock 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 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 |
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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Agricultural Bank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Agricultural Bank stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Agricultural Bank of.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Agricultural Stock
Agricultural Bank financial ratios help investors to determine whether Agricultural 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 Agricultural with respect to the benefits of owning Agricultural Bank security.