Industrial Commercial Bank Stock Probability of Future Pink Sheet Price Finishing Under 10.12
| IDCBY Stock | USD 10.51 0.10 0.94% |
Industrial |
Industrial Commercial Target Price Odds to finish below 10.12
The tendency of Industrial Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to $ 10.12 or more in 90 days |
| 10.51 | 90 days | 10.12 | about 51.11 |
Based on a normal probability distribution, the odds of Industrial Commercial to drop to $ 10.12 or more in 90 days from now is about 51.11 (This Industrial Commercial Bank probability density function shows the probability of Industrial Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Industrial Commercial price to stay between $ 10.12 and its current price of $10.51 at the end of the 90-day period is about 42.27 .
Assuming the 90 days horizon Industrial Commercial has a beta of 0.31. This usually indicates as returns on the market go up, Industrial Commercial average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Industrial Commercial Bank will be expected to be much smaller as well. Additionally Industrial Commercial Bank has an alpha of 0.1072, implying that it can generate a 0.11 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Industrial Commercial Price Density |
| Price |
Predictive Modules for Industrial Commercial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Industrial Commercial. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Industrial Commercial's 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.
Industrial Commercial Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Industrial Commercial is not an exception. The market had few large corrections towards the Industrial Commercial's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Industrial Commercial Bank, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Industrial Commercial within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.11 | |
β | Beta against NYSE Composite | 0.31 | |
σ | Overall volatility | 0.26 | |
Ir | Information ratio | 0.05 |
Industrial Commercial Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Industrial Pink Sheet often depends not only on the future outlook of the current and potential Industrial Commercial's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Industrial Commercial's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 18.3 B | |
| Cash And Short Term Investments | 4.2 T |
Industrial Commercial Technical Analysis
Industrial Commercial's future price can be derived by breaking down and analyzing its technical indicators over time. Industrial Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Industrial Commercial Bank. In general, you should focus on analyzing Industrial Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Industrial Commercial Predictive Forecast Models
Industrial Commercial's time-series forecasting models is one of many Industrial Commercial's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Industrial Commercial's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.
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 Industrial Commercial 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, Industrial Commercial's short interest history, or implied volatility extrapolated from Industrial Commercial options trading.
Check out Industrial Commercial Backtesting, Industrial Commercial Valuation, Industrial Commercial Correlation, Industrial Commercial Hype Analysis, Industrial Commercial Volatility, Industrial Commercial History as well as Industrial Commercial Performance. Note that the Industrial Commercial information on this page should be used as a complementary analysis to other Industrial Commercial's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary 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.
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance |