Agricultural Bank Of Stock Market Value
| ACGBY Stock | USD 10.62 0.23 2.21% |
| 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.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Agricultural Bank on March 17, 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 30 days. Agricultural Bank is related to or competes with ANZ Group, Bank of America, Bank of America, Wells Fargo, and Bank of America. 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 of upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.46 | |||
| Information Ratio | 0.0959 | |||
| Maximum Drawdown | 7.02 | |||
| Value At Risk | (2.22) | |||
| Potential Upside | 2.21 |
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 | 0.0942 | |||
| Jensen Alpha | 0.1541 | |||
| Total Risk Alpha | 0.069 | |||
| Sortino Ratio | 0.09 | |||
| Treynor Ratio | 0.3217 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Agricultural Bank'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.
Agricultural Bank Backtested Returns
Agricultural Bank appears to be not too volatile, given 3 months investment horizon. Agricultural Bank secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18% 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 makes use of Agricultural Bank's Risk Adjusted Performance of 0.0942, mean deviation of 1.01, and Downside Deviation of 1.46 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 14. The firm shows a Beta (market volatility) of 0.57, which signifies possible diversification benefits within a given portfolio. 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. Please check Agricultural Bank's expected short fall, and the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Agricultural Bank's price patterns will revert.
Auto-correlation | 0.03 |
Virtually no predictability
Agricultural Bank of has virtually no predictability. Overlapping area represents the amount of predictability between Agricultural Bank time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th of April 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 Agricultural Bank price movement. The serial correlation of 0.03 indicates that only 3.0% of current Agricultural Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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 of.
Regressed Prices |
| Timeline |
Pair Trading with Agricultural Bank
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Agricultural Bank position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Agricultural Bank will appreciate offsetting losses from the drop in the long position's value.Moving together with Agricultural Pink Sheet
| 0.9 | JPM | JPMorgan Chase Financial Report 12th of July 2024 | PairCorr |
| 0.8 | BML-PG | Bank of America | PairCorr |
| 0.84 | BAC | Bank of America Earnings Call Today | PairCorr |
| 0.61 | BAC-PK | Bank of America | PairCorr |
| 0.73 | IDCBF | Industrial and Commercial | PairCorr |
Moving against Agricultural Pink Sheet
| 0.87 | GFGY | Granite Falls Energy | PairCorr |
| 0.79 | PRSEF | Prosafe | PairCorr |
The ability to find closely correlated positions to Agricultural Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Agricultural Bank when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Agricultural Bank - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Agricultural Bank of to buy it.
The correlation of Agricultural Bank is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Agricultural Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Agricultural Bank moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Agricultural Bank can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Agricultural Bank Correlation, Agricultural Bank Volatility and Agricultural Bank Alpha and Beta module to complement your research on Agricultural Bank. Note that the Agricultural Bank information on this page should be used as a complementary analysis to other Agricultural Bank'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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for Agricultural Pink Sheet analysis
When running Agricultural Bank's price analysis, check to measure Agricultural Bank'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 Agricultural Bank is operating at the current time. Most of Agricultural Bank's value examination focuses on studying past and present price action to predict the probability of Agricultural Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agricultural Bank's price. Additionally, you may evaluate how the addition of Agricultural Bank to your portfolios can decrease your overall portfolio volatility.
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Agricultural Bank technical pink sheet 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, pink sheet market cycles, or different charting patterns.