Bank of Communications (China) Market Value
| 601328 Stock | 7.22 0.01 0.14% |
| Symbol | Bank |
Bank of Communications '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 Communications' 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 Communications.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in Bank of Communications on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Bank of Communications or generate 0.0% return on investment in Bank of Communications over 90 days. Bank of Communications is related to or competes with CSSC Offshore, Songz Automobile, Hua Hong, TianJin 712, Offshore Oil, and Quectel Wireless. Bank of Communications is entity of China More
Bank of Communications 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 Communications' 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 Bank of Communications upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0523 | |||
| Maximum Drawdown | 5.49 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.76 |
Bank of Communications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of Communications' standard deviation. In reality, there are many statistical measures that can use Bank of Communications historical prices to predict the future Bank of Communications' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | 0.0982 | |||
| Treynor Ratio | (0.15) |
Bank of Communications Backtested Returns
Bank of Communications secures Sharpe Ratio (or Efficiency) of -0.0497, which signifies that the company had a -0.0497 % return per unit of risk over the last 3 months. Bank of Communications exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bank of Communications' Mean Deviation of 0.9315, standard deviation of 1.2, and Risk Adjusted Performance of (0.01) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.23, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Bank of Communications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of Communications is expected to be smaller as well. At this point, Bank of Communications has a negative expected return of -0.0569%. Please make sure to confirm Bank of Communications' total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if Bank of Communications performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.35 |
Below average predictability
Bank of Communications has below average predictability. Overlapping area represents the amount of predictability between Bank of Communications 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 Bank of Communications price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Bank of Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Bank of Communications lagged returns against current returns
Autocorrelation, which is Bank of Communications 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 Communications' stock expected returns. We can calculate the autocorrelation of Bank of Communications returns to help us make a trade decision. For example, suppose you find that Bank of Communications 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 Communications 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 Communications stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of Communications 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 Communications stock over time.
Current vs Lagged Prices |
| Timeline |
Bank of Communications Lagged Returns
When evaluating Bank of Communications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of Communications stock have on its future price. Bank of Communications 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 Communications autocorrelation shows the relationship between Bank of Communications stock current value and its past values and can show if there is a momentum factor associated with investing in Bank of Communications.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Bank Stock
Bank of Communications 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 Communications security.