Industrial Commercial Bank Stock Market Value
| IDCBY Stock | USD 11.79 0.09 0.77% |
| Symbol | Industrial |
Industrial Commercial '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 Industrial Commercial'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 Industrial Commercial.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Industrial Commercial on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Industrial Commercial Bank or generate 0.0% return on investment in Industrial Commercial over 30 days. Industrial Commercial is related to or competes with Bank of China Ltd ADR, China Construction, Bank of America, ANZ Group, Agricultural Bank, China Construction, and Bank of America. Industrial and Commercial Bank of China Limited, together with its subsidiaries, provides banking products and services ... More
Industrial Commercial 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 Industrial Commercial'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 Industrial Commercial Bank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.28 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 14.91 | |||
| Value At Risk | (3.57) | |||
| Potential Upside | 3.05 |
Industrial Commercial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Industrial Commercial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Industrial Commercial's standard deviation. In reality, there are many statistical measures that can use Industrial Commercial historical prices to predict the future Industrial Commercial's volatility.| Risk Adjusted Performance | 0.0096 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.38) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.01) |
Industrial Commercial Backtested Returns
Industrial Commercial holds Efficiency (Sharpe) Ratio of -0.0081, which attests that the entity had a -0.0081% return per unit of risk over the last 3 months. Industrial Commercial exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Industrial Commercial's Market Risk Adjusted Performance of 0.003, downside deviation of 2.28, and Risk Adjusted Performance of 0.0096 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.16, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Industrial Commercial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Industrial Commercial is expected to be smaller as well. At this point, Industrial Commercial has a negative expected return of -0.0196%. Please make sure to check out Industrial Commercial's value at risk, and the relationship between the jensen alpha and skewness , to decide if Industrial Commercial performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.25 |
Poor predictability
Industrial Commercial Bank has poor predictability. Overlapping area represents the amount of predictability between Industrial Commercial time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Industrial Commercial price movement. The serial correlation of 0.25 indicates that over 25.0% of current Industrial Commercial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Industrial Commercial lagged returns against current returns
Autocorrelation, which is Industrial Commercial 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 Industrial Commercial's pink sheet expected returns. We can calculate the autocorrelation of Industrial Commercial returns to help us make a trade decision. For example, suppose you find that Industrial Commercial 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 |
Industrial Commercial 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 Industrial Commercial pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Industrial Commercial pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Industrial Commercial pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Industrial Commercial Lagged Returns
When evaluating Industrial Commercial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Industrial Commercial pink sheet have on its future price. Industrial Commercial 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, Industrial Commercial autocorrelation shows the relationship between Industrial Commercial pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Industrial Commercial Bank.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Industrial Pink Sheet Analysis
When running Industrial Commercial's price analysis, check to measure Industrial Commercial'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 Industrial Commercial is operating at the current time. Most of Industrial Commercial's value examination focuses on studying past and present price action to predict the probability of Industrial Commercial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Industrial Commercial's price. Additionally, you may evaluate how the addition of Industrial Commercial to your portfolios can decrease your overall portfolio volatility.