Industrial And Commercial Stock Market Value
| IDCBF Stock | USD 0.61 0.01 1.67% |
| Symbol | Industrial |
Industrial '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'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.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Industrial on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Industrial and Commercial or generate 0.0% return on investment in Industrial over 30 days. Industrial is related to or competes with Agricultural Bank, Bank of America, Bank of America, Commonwealth Bank, Bank of America, Wells Fargo, and Bank of America. Industrial and Commercial Bank of China Limited, together with its subsidiaries, provides banking products and services ... More
Industrial 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'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 and Commercial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.65 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 17.2 | |||
| Value At Risk | (3.39) | |||
| Potential Upside | 3.51 |
Industrial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Industrial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Industrial's standard deviation. In reality, there are many statistical measures that can use Industrial historical prices to predict the future Industrial's volatility.| Risk Adjusted Performance | 0.032 | |||
| Jensen Alpha | 0.1326 | |||
| Total Risk Alpha | (0.31) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.13) |
Industrial and Commercial Backtested Returns
At this point, Industrial is extremely dangerous. Industrial and Commercial holds Efficiency (Sharpe) Ratio of 0.056, which attests that the entity had a 0.056% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Industrial and Commercial, which you can use to evaluate the volatility of the firm. Please check out Industrial's Market Risk Adjusted Performance of (0.12), downside deviation of 5.65, and Risk Adjusted Performance of 0.032 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. Industrial has a performance score of 4 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of -0.53, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Industrial are expected to decrease at a much lower rate. During the bear market, Industrial is likely to outperform the market. Industrial and Commercial right now retains a risk of 2.39%. Please check out Industrial downside deviation, total risk alpha, value at risk, as well as the relationship between the information ratio and treynor ratio , to decide if Industrial will be following its current trending patterns.
Auto-correlation | 0.92 |
Excellent predictability
Industrial and Commercial has excellent predictability. Overlapping area represents the amount of predictability between Industrial 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 and Commercial price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Industrial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Industrial and Commercial lagged returns against current returns
Autocorrelation, which is Industrial 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's pink sheet expected returns. We can calculate the autocorrelation of Industrial returns to help us make a trade decision. For example, suppose you find that Industrial 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 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Industrial 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 pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Industrial Lagged Returns
When evaluating Industrial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Industrial pink sheet have on its future price. Industrial 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 autocorrelation shows the relationship between Industrial pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Industrial and Commercial.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Industrial Pink Sheet
Industrial financial ratios help investors to determine whether Industrial 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 Industrial with respect to the benefits of owning Industrial security.