Citizens Bancorp Of Stock Probability of Future Pink Sheet Price Finishing Under 27.01
| CZBT Stock | USD 31.00 0.00 0.00% |
Citizens |
Citizens Bancorp Target Price Odds to finish below 27.01
The tendency of Citizens 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 $ 27.01 or more in 90 days |
| 31.00 | 90 days | 27.01 | about 5.96 |
Based on a normal probability distribution, the odds of Citizens Bancorp to drop to $ 27.01 or more in 90 days from now is about 5.96 (This Citizens Bancorp of probability density function shows the probability of Citizens Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Citizens Bancorp price to stay between $ 27.01 and its current price of $31.0 at the end of the 90-day period is about 90.59 .
Given the investment horizon of 90 days Citizens Bancorp has a beta of 0.27 suggesting as returns on the market go up, Citizens Bancorp average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Citizens Bancorp of will be expected to be much smaller as well. Additionally Citizens Bancorp of has an alpha of 0.1631, implying that it can generate a 0.16 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Citizens Bancorp Price Density |
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Predictive Modules for Citizens Bancorp
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Citizens Bancorp. 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.Citizens Bancorp Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Citizens Bancorp is not an exception. The market had few large corrections towards the Citizens Bancorp'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 Citizens Bancorp of, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Citizens Bancorp within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.16 | |
β | Beta against Dow Jones | 0.27 | |
σ | Overall volatility | 1.18 | |
Ir | Information ratio | 0.05 |
Citizens Bancorp Technical Analysis
Citizens Bancorp's future price can be derived by breaking down and analyzing its technical indicators over time. Citizens Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Citizens Bancorp of. In general, you should focus on analyzing Citizens Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Citizens Bancorp Predictive Forecast Models
Citizens Bancorp's time-series forecasting models is one of many Citizens Bancorp'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 Citizens Bancorp'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 Citizens Bancorp 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, Citizens Bancorp's short interest history, or implied volatility extrapolated from Citizens Bancorp options trading.
Additional Tools for Citizens Pink Sheet Analysis
When running Citizens Bancorp's price analysis, check to measure Citizens Bancorp'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 Citizens Bancorp is operating at the current time. Most of Citizens Bancorp's value examination focuses on studying past and present price action to predict the probability of Citizens Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Citizens Bancorp's price. Additionally, you may evaluate how the addition of Citizens Bancorp to your portfolios can decrease your overall portfolio volatility.