Community Bankers Stock Probability of Future Pink Sheet Price Finishing Over 4.84
| CTYP Stock | USD 4.79 0.10 2.13% |
Community |
Community Bankers Target Price Odds to finish over 4.84
The tendency of Community 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 move over $ 4.84 or more in 90 days |
| 4.79 | 90 days | 4.84 | about 7.57 |
Based on a normal probability distribution, the odds of Community Bankers to move over $ 4.84 or more in 90 days from now is about 7.57 (This Community Bankers probability density function shows the probability of Community Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Community Bankers price to stay between its current price of $ 4.79 and $ 4.84 at the end of the 90-day period is under 4.
Given the investment horizon of 90 days Community Bankers has a beta of -0.23 suggesting as returns on the benchmark increase, returns on holding Community Bankers are expected to decrease at a much lower rate. During a bear market, however, Community Bankers is likely to outperform the market. Additionally Community Bankers has an alpha of 0.0913, implying that it can generate a 0.0913 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Community Bankers Price Density |
| Price |
Predictive Modules for Community Bankers
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Community Bankers. 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 Community Bankers' 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.
Community Bankers Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Community Bankers is not an exception. The market had few large corrections towards the Community Bankers' 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 Community Bankers, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Community Bankers within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.09 | |
β | Beta against Dow Jones | -0.23 | |
σ | Overall volatility | 0.23 | |
Ir | Information ratio | -0.02 |
Community Bankers Technical Analysis
Community Bankers' future price can be derived by breaking down and analyzing its technical indicators over time. Community Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Community Bankers. In general, you should focus on analyzing Community Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Community Bankers Predictive Forecast Models
Community Bankers' time-series forecasting models is one of many Community Bankers' 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 Community Bankers' 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 Community Bankers 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, Community Bankers' short interest history, or implied volatility extrapolated from Community Bankers options trading.
Additional Tools for Community Pink Sheet Analysis
When running Community Bankers' price analysis, check to measure Community Bankers' 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 Community Bankers is operating at the current time. Most of Community Bankers' value examination focuses on studying past and present price action to predict the probability of Community Bankers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Community Bankers' price. Additionally, you may evaluate how the addition of Community Bankers to your portfolios can decrease your overall portfolio volatility.