Bank Of Communications Stock Market Value
| BCMXY Stock | USD 16.85 0.24 1.44% |
| 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' 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 Communications.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Bank of Communications on May 6, 2022 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 720 days. Bank of Communications is related to or competes with ANZ Group, Bank of America, Bank of America, Wells Fargo, and Bank of America. Bank of Communications Co., Ltd. provides commercial banking products and services 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' 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 Communications upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0727 | |||
| Maximum Drawdown | 5.39 | |||
| Potential Upside | 0.6667 |
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 | 0.1232 | |||
| Jensen Alpha | 0.1365 | |||
| Total Risk Alpha | 0.0406 | |||
| Treynor Ratio | (1.53) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank of Communications' 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.
Bank of Communications Backtested Returns
We consider Bank of Communications very steady. Bank of Communications secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the company had a 0.2% return per unit of risk over the last 3 months. We have found twenty technical indicators for Bank of Communications, which you can use to evaluate the volatility of the firm. Please confirm Bank of Communications' Risk Adjusted Performance of 0.1232, standard deviation of 0.7158, and Mean Deviation of 0.2628 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. Bank of Communications has a performance score of 15 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.0849, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Bank of Communications are expected to decrease at a much lower rate. During the bear market, Bank of Communications is likely to outperform the market. Bank of Communications right now shows a risk of 0.73%. Please confirm Bank of Communications variance, kurtosis, as well as the relationship between the Kurtosis and period momentum indicator , to decide if Bank of Communications will be following its price patterns.
Auto-correlation | 0.41 |
Average predictability
Bank of Communications has average predictability. Overlapping area represents the amount of predictability between Bank of Communications time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 Bank of Communications price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Bank of Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.47 |
Bank of Communications lagged returns against current returns
Autocorrelation, which is Bank of Communications 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 Communications' pink sheet 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 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 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank of Communications 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 Communications pink sheet 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 pink sheet 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 pink sheet 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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank of Communications in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank of Communications' short interest history, or implied volatility extrapolated from Bank of Communications options trading.
Pair Trading with Bank of Communications
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 Bank of Communications 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 Bank of Communications will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Pink Sheet
| 0.71 | BAC | Bank of America Sell-off Trend | PairCorr |
| 0.66 | BML-PG | Bank of America | PairCorr |
Moving against Bank Pink Sheet
| 0.97 | TLK | Telkom Indonesia Tbk Financial Report 26th of April 2024 | PairCorr |
| 0.86 | VFS | VinFast Auto Financial Report 20th of May 2024 | PairCorr |
The ability to find closely correlated positions to Bank of Communications could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of Communications 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 Bank of Communications - 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 Bank of Communications to buy it.
The correlation of Bank of Communications 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 Bank of Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of Communications 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 Bank of Communications 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 Bank of Communications Correlation, Bank of Communications Volatility and Bank of Communications Alpha and Beta module to complement your research on Bank of Communications. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Complementary Tools for Bank Pink Sheet analysis
When running Bank of Communications' price analysis, check to measure Bank of Communications' 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 Bank of Communications is operating at the current time. Most of Bank of Communications' value examination focuses on studying past and present price action to predict the probability of Bank of Communications' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of Communications' price. Additionally, you may evaluate how the addition of Bank of Communications to your portfolios can decrease your overall portfolio volatility.
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Bank of Communications 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.