CITIGROUP INC 44 Probability of Future Bond Price Finishing Over 97.15
| 172967JT9 | 99.75 0.18 0.18% |
CITIGROUP |
CITIGROUP Target Price Odds to finish over 97.15
The tendency of CITIGROUP 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 97.15 in 90 days |
| 99.75 | 90 days | 97.15 | close to 99 |
Based on a normal probability distribution, the odds of CITIGROUP to stay above 97.15 in 90 days from now is close to 99 (This CITIGROUP INC 44 probability density function shows the probability of CITIGROUP Bond to fall within a particular range of prices over 90 days) . Probability of CITIGROUP INC 44 price to stay between 97.15 and its current price of 99.75 at the end of the 90-day period is about 62.53 .
Assuming the 90 days trading horizon CITIGROUP INC 44 has a beta of -0.0566. This usually implies as returns on the benchmark increase, returns on holding CITIGROUP are expected to decrease at a much lower rate. During a bear market, however, CITIGROUP INC 44 is likely to outperform the market. Additionally CITIGROUP INC 44 has an alpha of 0.0031, implying that it can generate a 0.003138 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). CITIGROUP Price Density |
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Predictive Modules for CITIGROUP
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CITIGROUP INC 44. 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.CITIGROUP Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CITIGROUP is not an exception. The market had few large corrections towards the CITIGROUP'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 CITIGROUP INC 44, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CITIGROUP within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | -0.06 | |
σ | Overall volatility | 0.50 | |
Ir | Information ratio | -0.18 |
CITIGROUP Technical Analysis
CITIGROUP's future price can be derived by breaking down and analyzing its technical indicators over time. CITIGROUP Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CITIGROUP INC 44. In general, you should focus on analyzing CITIGROUP Bond price patterns and their correlations with different microeconomic environments and drivers.
CITIGROUP Predictive Forecast Models
CITIGROUP's time-series forecasting models is one of many CITIGROUP'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 CITIGROUP'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 CITIGROUP 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, CITIGROUP's short interest history, or implied volatility extrapolated from CITIGROUP options trading.
Other Information on Investing in CITIGROUP Bond
CITIGROUP financial ratios help investors to determine whether CITIGROUP 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 CITIGROUP with respect to the benefits of owning CITIGROUP security.