GEORGE WASH UNIV Chance of Future Bond Price Finishing Over 81.5
| 372546AW1 | 80.26 0.00 0.00% |
GEORGE |
GEORGE Target Price Odds to finish over 81.5
The tendency of GEORGE Bond 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 81.50 or more in 90 days |
| 80.26 | 90 days | 81.50 | about 30.63 |
Based on a normal probability distribution, the odds of GEORGE to move over 81.50 or more in 90 days from now is about 30.63 (This GEORGE WASH UNIV probability density function shows the probability of GEORGE Bond to fall within a particular range of prices over 90 days) . Probability of GEORGE WASH UNIV price to stay between its current price of 80.26 and 81.50 at the end of the 90-day period is about 20.58 .
Assuming the 90 days trading horizon GEORGE WASH UNIV has a beta of -0.15. This usually implies as returns on the benchmark increase, returns on holding GEORGE are expected to decrease at a much lower rate. During a bear market, however, GEORGE WASH UNIV is likely to outperform the market. Additionally GEORGE WASH UNIV has an alpha of 0.0123, implying that it can generate a 0.0123 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). GEORGE Price Density |
| Price |
Predictive Modules for GEORGE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GEORGE WASH UNIV. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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.GEORGE Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GEORGE is not an exception. The market had few large corrections towards the GEORGE'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 GEORGE WASH UNIV, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GEORGE within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.15 | |
σ | Overall volatility | 2.31 | |
Ir | Information ratio | -0.07 |
GEORGE Technical Analysis
GEORGE's future price can be derived by breaking down and analyzing its technical indicators over time. GEORGE Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GEORGE WASH UNIV. In general, you should focus on analyzing GEORGE Bond price patterns and their correlations with different microeconomic environments and drivers.
GEORGE Predictive Forecast Models
GEORGE's time-series forecasting models is one of many GEORGE's bond 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 GEORGE'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 bond 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 GEORGE 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, GEORGE's short interest history, or implied volatility extrapolated from GEORGE options trading.
Other Information on Investing in GEORGE Bond
GEORGE financial ratios help investors to determine whether GEORGE Bond 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 GEORGE with respect to the benefits of owning GEORGE security.