GBLATL 1625 15 JAN 26 Chance of Future Bond Price Finishing Over 88.41
| 36143L2A2 | 89.68 6.51 6.77% |
GBLATL |
GBLATL Target Price Odds to finish over 88.41
The tendency of GBLATL 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 stay above 88.41 in 90 days |
| 89.68 | 90 days | 88.41 | close to 99 |
Based on a normal probability distribution, the odds of GBLATL to stay above 88.41 in 90 days from now is close to 99 (This GBLATL 1625 15 JAN 26 probability density function shows the probability of GBLATL Bond to fall within a particular range of prices over 90 days) . Probability of GBLATL 1625 15 price to stay between 88.41 and its current price of 89.68 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon GBLATL 1625 15 JAN 26 has a beta of -0.31. This usually implies as returns on the benchmark increase, returns on holding GBLATL are expected to decrease at a much lower rate. During a bear market, however, GBLATL 1625 15 JAN 26 is likely to outperform the market. Additionally GBLATL 1625 15 JAN 26 has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. GBLATL Price Density |
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Predictive Modules for GBLATL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GBLATL 1625 15. 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.GBLATL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GBLATL is not an exception. The market had few large corrections towards the GBLATL'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 GBLATL 1625 15 JAN 26, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GBLATL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | -0.31 | |
σ | Overall volatility | 1.29 | |
Ir | Information ratio | -0.19 |
GBLATL Technical Analysis
GBLATL's future price can be derived by breaking down and analyzing its technical indicators over time. GBLATL Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GBLATL 1625 15 JAN 26. In general, you should focus on analyzing GBLATL Bond price patterns and their correlations with different microeconomic environments and drivers.
GBLATL Predictive Forecast Models
GBLATL's time-series forecasting models is one of many GBLATL'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 GBLATL'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 GBLATL 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, GBLATL's short interest history, or implied volatility extrapolated from GBLATL options trading.
Other Information on Investing in GBLATL Bond
GBLATL financial ratios help investors to determine whether GBLATL 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 GBLATL with respect to the benefits of owning GBLATL security.