GASBCM 6129 23 FEB 38 Chance of Future Bond Price Finishing Over 107.19
| 39541EAA1 | 104.15 3.50 3.48% |
GASBCM |
GASBCM Target Price Odds to finish over 107.19
The tendency of GASBCM 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 107.19 or more in 90 days |
| 104.15 | 90 days | 107.19 | near 1 |
Based on a normal probability distribution, the odds of GASBCM to move over 107.19 or more in 90 days from now is near 1 (This GASBCM 6129 23 FEB 38 probability density function shows the probability of GASBCM Bond to fall within a particular range of prices over 90 days) . Probability of GASBCM 6129 23 price to stay between its current price of 104.15 and 107.19 at the end of the 90-day period is about 7.1 .
Assuming the 90 days trading horizon GASBCM 6129 23 FEB 38 has a beta of -0.0302. This usually implies as returns on the benchmark increase, returns on holding GASBCM are expected to decrease at a much lower rate. During a bear market, however, GASBCM 6129 23 FEB 38 is likely to outperform the market. Additionally GASBCM 6129 23 FEB 38 has an alpha of 0.0313, implying that it can generate a 0.0313 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). GASBCM Price Density |
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Predictive Modules for GASBCM
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GASBCM 6129 23. 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.GASBCM Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GASBCM is not an exception. The market had few large corrections towards the GASBCM'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 GASBCM 6129 23 FEB 38, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GASBCM within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.03 | |
σ | Overall volatility | 1.59 | |
Ir | Information ratio | 0.01 |
GASBCM Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of GASBCM for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for GASBCM 6129 23 can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| GASBCM 6129 23 generated a negative expected return over the last 90 days |
GASBCM Technical Analysis
GASBCM's future price can be derived by breaking down and analyzing its technical indicators over time. GASBCM Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GASBCM 6129 23 FEB 38. In general, you should focus on analyzing GASBCM Bond price patterns and their correlations with different microeconomic environments and drivers.
GASBCM Predictive Forecast Models
GASBCM's time-series forecasting models is one of many GASBCM'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 GASBCM'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.
Things to note about GASBCM 6129 23
Checking the ongoing alerts about GASBCM for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for GASBCM 6129 23 help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| GASBCM 6129 23 generated a negative expected return over the last 90 days |
Other Information on Investing in GASBCM Bond
GASBCM financial ratios help investors to determine whether GASBCM 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 GASBCM with respect to the benefits of owning GASBCM security.