Solera National Bancorp Stock Probability of Future Pink Sheet Price Finishing Under 9.92
| SLRK Stock | USD 9.68 0.57 5.56% |
Solera |
Solera National Target Price Odds to finish below 9.92
The tendency of Solera 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 under $ 9.92 after 90 days |
| 9.68 | 90 days | 9.92 | about 67.81 |
Based on a normal probability distribution, the odds of Solera National to stay under $ 9.92 after 90 days from now is about 67.81 (This Solera National Bancorp probability density function shows the probability of Solera Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Solera National Bancorp price to stay between its current price of $ 9.68 and $ 9.92 at the end of the 90-day period is about 27.4 .
Given the investment horizon of 90 days Solera National has a beta of 0.0272. This usually implies as returns on the market go up, Solera National average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Solera National Bancorp will be expected to be much smaller as well. Additionally Solera National Bancorp has an alpha of 0.0687, implying that it can generate a 0.0687 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Solera National Price Density |
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Predictive Modules for Solera National
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Solera National 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.Solera National Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Solera National is not an exception. The market had few large corrections towards the Solera National'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 Solera National Bancorp, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Solera National within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 0.34 | |
Ir | Information ratio | -0.0083 |
Solera National Technical Analysis
Solera National's future price can be derived by breaking down and analyzing its technical indicators over time. Solera Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Solera National Bancorp. In general, you should focus on analyzing Solera Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Solera National Predictive Forecast Models
Solera National's time-series forecasting models is one of many Solera National'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 Solera National'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 Solera National 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, Solera National's short interest history, or implied volatility extrapolated from Solera National options trading.
Other Information on Investing in Solera Pink Sheet
Solera National financial ratios help investors to determine whether Solera Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Solera with respect to the benefits of owning Solera National security.