SFCCN 53 13 MAY 28 Chance of Future Bond Price Finishing Under 94.00
| 78669QAA8 | 99.01 0.24 0.24% |
SFCCN |
SFCCN Target Price Odds to finish below 94.00
The tendency of SFCCN 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 drop to 94.00 or more in 90 days |
| 99.01 | 90 days | 94.00 | about 1.49 |
Based on a normal probability distribution, the odds of SFCCN to drop to 94.00 or more in 90 days from now is about 1.49 (This SFCCN 53 13 MAY 28 probability density function shows the probability of SFCCN Bond to fall within a particular range of prices over 90 days) . Probability of SFCCN 53 13 price to stay between 94.00 and its current price of 99.01 at the end of the 90-day period is more than 94.0 .
Assuming the 90 days trading horizon SFCCN 53 13 MAY 28 has a beta of -0.24. This usually implies as returns on the benchmark increase, returns on holding SFCCN are expected to decrease at a much lower rate. During a bear market, however, SFCCN 53 13 MAY 28 is likely to outperform the market. Additionally SFCCN 53 13 MAY 28 has an alpha of 0.0832, implying that it can generate a 0.0832 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SFCCN Price Density |
| Price |
Predictive Modules for SFCCN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SFCCN 53 13. 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.SFCCN Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SFCCN is not an exception. The market had few large corrections towards the SFCCN'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 SFCCN 53 13 MAY 28, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SFCCN within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | -0.24 | |
σ | Overall volatility | 1.31 | |
Ir | Information ratio | -0.05 |
SFCCN Technical Analysis
SFCCN's future price can be derived by breaking down and analyzing its technical indicators over time. SFCCN Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SFCCN 53 13 MAY 28. In general, you should focus on analyzing SFCCN Bond price patterns and their correlations with different microeconomic environments and drivers.
SFCCN Predictive Forecast Models
SFCCN's time-series forecasting models is one of many SFCCN'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 SFCCN'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 SFCCN 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, SFCCN's short interest history, or implied volatility extrapolated from SFCCN options trading.
Other Information on Investing in SFCCN Bond
SFCCN financial ratios help investors to determine whether SFCCN 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 SFCCN with respect to the benefits of owning SFCCN security.