Cnb Corporation Stock Chance of Future Pink Sheet Price Finishing Over 16.22
| CNBZ Stock | USD 17.50 0.50 2.78% |
CNB |
CNB Target Price Odds to finish over 16.22
The tendency of CNB 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 stay above $ 16.22 in 90 days |
| 17.50 | 90 days | 16.22 | close to 99 |
Based on a normal probability distribution, the odds of CNB to stay above $ 16.22 in 90 days from now is close to 99 (This CNB Corporation probability density function shows the probability of CNB Pink Sheet to fall within a particular range of prices over 90 days) . Probability of CNB Corporation price to stay between $ 16.22 and its current price of $17.5 at the end of the 90-day period is near 1 .
Given the investment horizon of 90 days CNB Corporation has a beta of -0.0126 suggesting as returns on the benchmark increase, returns on holding CNB are expected to decrease at a much lower rate. During a bear market, however, CNB Corporation is likely to outperform the market. Additionally CNB Corporation has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. CNB Price Density |
| Price |
Predictive Modules for CNB
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CNB Corporation. 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.CNB Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CNB is not an exception. The market had few large corrections towards the CNB'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 CNB Corporation, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CNB within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.11 | |
β | Beta against Dow Jones | -0.01 | |
σ | Overall volatility | 0.39 | |
Ir | Information ratio | -0.44 |
CNB Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of CNB for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for CNB Corporation can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| CNB Corporation generated a negative expected return over the last 90 days |
CNB Technical Analysis
CNB's future price can be derived by breaking down and analyzing its technical indicators over time. CNB Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CNB Corporation. In general, you should focus on analyzing CNB Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
CNB Predictive Forecast Models
CNB's time-series forecasting models is one of many CNB'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 CNB'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.
Things to note about CNB Corporation
Checking the ongoing alerts about CNB for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for CNB Corporation help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| CNB Corporation generated a negative expected return over the last 90 days |
Additional Tools for CNB Pink Sheet Analysis
When running CNB's price analysis, check to measure CNB'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 CNB is operating at the current time. Most of CNB's value examination focuses on studying past and present price action to predict the probability of CNB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CNB's price. Additionally, you may evaluate how the addition of CNB to your portfolios can decrease your overall portfolio volatility.