Bank of Shanghai (China) Market Value
| 601229 Stock | 8.20 0.08 0.99% |
| Symbol | Bank |
Bank of Shanghai '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 Shanghai'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 Shanghai.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Bank of Shanghai on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Bank of Shanghai or generate 0.0% return on investment in Bank of Shanghai over 30 days. Bank of Shanghai is related to or competes with Kweichow Moutai, Shenzhen Mindray, Jiangsu Pacific, G-bits Network, Beijing Roborock, Luzhou Lao, and Central China. Bank of Shanghai is entity of China. It is traded as Stock on SHG exchange. More
Bank of Shanghai 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 Shanghai'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 Bank of Shanghai upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.59 | |||
| Information Ratio | 0.0054 | |||
| Maximum Drawdown | 15.43 | |||
| Value At Risk | (3.93) | |||
| Potential Upside | 3.4 |
Bank of Shanghai Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of Shanghai's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of Shanghai's standard deviation. In reality, there are many statistical measures that can use Bank of Shanghai historical prices to predict the future Bank of Shanghai's volatility.| Risk Adjusted Performance | 0.0582 | |||
| Jensen Alpha | 0.1416 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | 0.0046 | |||
| Treynor Ratio | (8.56) |
Bank of Shanghai Backtested Returns
Bank of Shanghai appears to be somewhat reliable, given 3 months investment horizon. Bank of Shanghai secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the company had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for Bank of Shanghai, which you can use to evaluate the volatility of the firm. Please makes use of Bank of Shanghai's Risk Adjusted Performance of 0.0582, downside deviation of 2.59, and Mean Deviation of 1.45 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank of Shanghai holds a performance score of 9. The firm shows a Beta (market volatility) of -0.0163, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Bank of Shanghai are expected to decrease at a much lower rate. During the bear market, Bank of Shanghai is likely to outperform the market. Please check Bank of Shanghai's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Bank of Shanghai's price patterns will revert.
Auto-correlation | -0.27 |
Weak reverse predictability
Bank of Shanghai has weak reverse predictability. Overlapping area represents the amount of predictability between Bank of Shanghai time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 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 Bank of Shanghai price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Bank of Shanghai price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Bank of Shanghai lagged returns against current returns
Autocorrelation, which is Bank of Shanghai 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 Shanghai's stock expected returns. We can calculate the autocorrelation of Bank of Shanghai returns to help us make a trade decision. For example, suppose you find that Bank of Shanghai 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 Shanghai 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 Shanghai stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of Shanghai 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 Shanghai stock over time.
Current vs Lagged Prices |
| Timeline |
Bank of Shanghai Lagged Returns
When evaluating Bank of Shanghai's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of Shanghai stock have on its future price. Bank of Shanghai 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 Shanghai autocorrelation shows the relationship between Bank of Shanghai stock current value and its past values and can show if there is a momentum factor associated with investing in Bank of Shanghai.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Bank Stock
Bank of Shanghai 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 Shanghai security.