Wtb Financial Stock Probability of Future Pink Sheet Price Finishing Over 271.23
| WTBFB Stock | USD 307.00 1.89 0.62% |
WTB |
WTB Financial Target Price Odds to finish over 271.23
The tendency of WTB 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 $ 271.23 in 90 days |
| 307.00 | 90 days | 271.23 | close to 99 |
Based on a normal probability distribution, the odds of WTB Financial to stay above $ 271.23 in 90 days from now is close to 99 (This WTB Financial probability density function shows the probability of WTB Pink Sheet to fall within a particular range of prices over 90 days) . Probability of WTB Financial price to stay between $ 271.23 and its current price of $307.0 at the end of the 90-day period is close to 99 .
Assuming the 90 days horizon WTB Financial has a beta of 0.46. This entails as returns on the market go up, WTB Financial average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding WTB Financial will be expected to be much smaller as well. Additionally WTB Financial has an alpha of 0.0511, implying that it can generate a 0.0511 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). WTB Financial Price Density |
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Predictive Modules for WTB Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as WTB Financial. 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.WTB Financial Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. WTB Financial is not an exception. The market had few large corrections towards the WTB Financial'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 WTB Financial, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of WTB Financial within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.05 | |
β | Beta against Dow Jones | 0.46 | |
σ | Overall volatility | 5.38 | |
Ir | Information ratio | -0.02 |
WTB Financial Technical Analysis
WTB Financial's future price can be derived by breaking down and analyzing its technical indicators over time. WTB Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of WTB Financial. In general, you should focus on analyzing WTB Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
WTB Financial Predictive Forecast Models
WTB Financial's time-series forecasting models is one of many WTB Financial'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 WTB Financial'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 WTB Financial 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, WTB Financial's short interest history, or implied volatility extrapolated from WTB Financial options trading.
Other Information on Investing in WTB Pink Sheet
WTB Financial financial ratios help investors to determine whether WTB 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 WTB with respect to the benefits of owning WTB Financial security.