Bank of China's market value is the price at which a share of Bank of China trades on a public exchange. It measures the collective expectations of Bank of China investors about its performance. Bank of China is trading at 0.53 as of the 2nd of February 2025. This is a 3.64 percent decrease since the beginning of the trading day. The stock's lowest day price was 0.52. With this module, you can estimate the performance of a buy and hold strategy of Bank of China and determine expected loss or profit from investing in Bank of China over a given investment horizon. Check out Bank of China Correlation, Bank of China Volatility and Bank of China Alpha and Beta module to complement your research on Bank of China.
Please note, there is a significant difference between Bank of China's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of China is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of China's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Bank of China '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 China'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 Bank of China.
0.00
02/08/2024
No Change 0.00
0.0
In 11 months and 26 days
02/02/2025
0.00
If you would invest 0.00 in Bank of China on February 8, 2024 and sell it all today you would earn a total of 0.00 from holding Bank of China or generate 0.0% return on investment in Bank of China over 360 days. Bank of China is related to or competes with China Construction, Industrial, Agricultural Bank, Bank of China, and Agricultural Bank. Bank of China Limited, together with its subsidiaries, provides various banking and financial services More
Bank of China 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 China'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 Bank of China upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of China's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of China's standard deviation. In reality, there are many statistical measures that can use Bank of China historical prices to predict the future Bank of China's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bank of China. Your research has to be compared to or analyzed against Bank of China's peers to derive any actionable benefits. When done correctly, Bank of China's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Bank of China.
Bank of China Backtested Returns
Bank of China appears to be out of control, given 3 months investment horizon. Bank of China secures Sharpe Ratio (or Efficiency) of 0.0724, which signifies that the company had a 0.0724 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Bank of China, which you can use to evaluate the volatility of the firm. Please makes use of Bank of China's Mean Deviation of 3.15, downside deviation of 7.6, and Risk Adjusted Performance of 0.0548 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank of China holds a performance score of 5. The firm shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Bank of China's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of China is expected to be smaller as well. Please check Bank of China's total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether Bank of China's price patterns will revert.
Auto-correlation
0.25
Poor predictability
Bank of China has poor predictability. Overlapping area represents the amount of predictability between Bank of China time series from 8th of February 2024 to 6th of August 2024 and 6th of August 2024 to 2nd 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 Bank of China price movement. The serial correlation of 0.25 indicates that over 25.0% of current Bank of China price fluctuation can be explain by its past prices.
Correlation Coefficient
0.25
Spearman Rank Test
0.35
Residual Average
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Price Variance
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Bank of China lagged returns against current returns
Autocorrelation, which is Bank of China 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 Bank of China's pink sheet expected returns. We can calculate the autocorrelation of Bank of China returns to help us make a trade decision. For example, suppose you find that Bank of China 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
Bank of China 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 China pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of China pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank of China pink sheet over time.
Current vs Lagged Prices
Timeline
Bank of China Lagged Returns
When evaluating Bank of China's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank of China pink sheet have on its future price. Bank of China 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 China autocorrelation shows the relationship between Bank of China pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Bank of China.
Bank of China financial ratios help investors to determine whether Bank 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 Bank with respect to the benefits of owning Bank of China security.