First Community Stock Probability of Future Pink Sheet Price Finishing Over 8.96
| FCCT Stock | USD 8.95 0.00 0.00% |
First |
First Community Target Price Odds to finish over 8.96
The tendency of First 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 $ 8.96 or more in 90 days |
| 8.95 | 90 days | 8.96 | about 36.05 |
Based on a normal probability distribution, the odds of First Community to move over $ 8.96 or more in 90 days from now is about 36.05 (This First Community probability density function shows the probability of First Pink Sheet to fall within a particular range of prices over 90 days) . Probability of First Community price to stay between its current price of $ 8.95 and $ 8.96 at the end of the 90-day period is roughly 2.71 .
Given the investment horizon of 90 days First Community has a beta of 0.0672. This usually indicates as returns on the market go up, First Community average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding First Community will be expected to be much smaller as well. Additionally First Community has an alpha of 0.0036, implying that it can generate a 0.003615 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). First Community Price Density |
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Predictive Modules for First Community
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Community. 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 First Community'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.
First Community Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. First Community is not an exception. The market had few large corrections towards the First Community'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 First Community, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of First Community within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | 0.07 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | -0.1 |
First Community Technical Analysis
First Community's future price can be derived by breaking down and analyzing its technical indicators over time. First Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of First Community. In general, you should focus on analyzing First Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
First Community Predictive Forecast Models
First Community's time-series forecasting models is one of many First Community'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 First Community'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 First Community 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, First Community's short interest history, or implied volatility extrapolated from First Community options trading.
Additional Tools for First Pink Sheet Analysis
When running First Community's price analysis, check to measure First Community'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 First Community is operating at the current time. Most of First Community's value examination focuses on studying past and present price action to predict the probability of First Community's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move First Community's price. Additionally, you may evaluate how the addition of First Community to your portfolios can decrease your overall portfolio volatility.