SIGMA HOLDCO B Chance of Future Bond Price Finishing Over 100.41
| 82660CAA0 | 100.50 1.49 1.50% |
SIGMA |
SIGMA Target Price Odds to finish over 100.41
The tendency of SIGMA 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 100.41 in 90 days |
| 100.50 | 90 days | 100.41 | about 34.06 |
Based on a normal probability distribution, the odds of SIGMA to stay above 100.41 in 90 days from now is about 34.06 (This SIGMA HOLDCO B probability density function shows the probability of SIGMA Bond to fall within a particular range of prices over 90 days) . Probability of SIGMA HOLDCO B price to stay between 100.41 and its current price of 100.5 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon SIGMA HOLDCO B has a beta of -0.88. This usually implies Additionally SIGMA HOLDCO B has an alpha of 0.4903, implying that it can generate a 0.49 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SIGMA Price Density |
| Price |
Predictive Modules for SIGMA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SIGMA HOLDCO B. 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.SIGMA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SIGMA is not an exception. The market had few large corrections towards the SIGMA'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 SIGMA HOLDCO B, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SIGMA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.49 | |
β | Beta against Dow Jones | -0.88 | |
σ | Overall volatility | 4.77 | |
Ir | Information ratio | 0.03 |
SIGMA 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 SIGMA for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SIGMA HOLDCO B can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Latest headline from theverge.com: The best Black Friday phone deals Id actually recommend to real people |
SIGMA Technical Analysis
SIGMA's future price can be derived by breaking down and analyzing its technical indicators over time. SIGMA Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SIGMA HOLDCO B. In general, you should focus on analyzing SIGMA Bond price patterns and their correlations with different microeconomic environments and drivers.
SIGMA Predictive Forecast Models
SIGMA's time-series forecasting models is one of many SIGMA'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 SIGMA'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 SIGMA HOLDCO B
Checking the ongoing alerts about SIGMA for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SIGMA HOLDCO B help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
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Other Information on Investing in SIGMA Bond
SIGMA financial ratios help investors to determine whether SIGMA 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 SIGMA with respect to the benefits of owning SIGMA security.