RAYTHEON TECHNOLOGIES PORATION Odds of Future Bond Price Finishing Over 62.21
| 75513ECL3 | 67.09 5.97 9.77% |
RAYTHEON |
RAYTHEON Target Price Odds to finish over 62.21
The tendency of RAYTHEON 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 62.21 in 90 days |
| 67.09 | 90 days | 62.21 | about 78.21 |
Based on a normal probability distribution, the odds of RAYTHEON to stay above 62.21 in 90 days from now is about 78.21 (This RAYTHEON TECHNOLOGIES PORATION probability density function shows the probability of RAYTHEON Bond to fall within a particular range of prices over 90 days) . Probability of RAYTHEON TECHNOLOGIES price to stay between 62.21 and its current price of 67.09 at the end of the 90-day period is about 70.41 .
Assuming the 90 days trading horizon RAYTHEON has a beta of 0.62. This usually implies as returns on the market go up, RAYTHEON average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding RAYTHEON TECHNOLOGIES PORATION will be expected to be much smaller as well. Additionally RAYTHEON TECHNOLOGIES PORATION has an alpha of 0.0426, implying that it can generate a 0.0426 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). RAYTHEON Price Density |
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Predictive Modules for RAYTHEON
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as RAYTHEON TECHNOLOGIES. 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.RAYTHEON Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. RAYTHEON is not an exception. The market had few large corrections towards the RAYTHEON'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 RAYTHEON TECHNOLOGIES PORATION, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of RAYTHEON within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | 0.62 | |
σ | Overall volatility | 2.22 | |
Ir | Information ratio | 0.01 |
RAYTHEON Technical Analysis
RAYTHEON's future price can be derived by breaking down and analyzing its technical indicators over time. RAYTHEON Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of RAYTHEON TECHNOLOGIES PORATION. In general, you should focus on analyzing RAYTHEON Bond price patterns and their correlations with different microeconomic environments and drivers.
RAYTHEON Predictive Forecast Models
RAYTHEON's time-series forecasting models is one of many RAYTHEON'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 RAYTHEON'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 RAYTHEON 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, RAYTHEON's short interest history, or implied volatility extrapolated from RAYTHEON options trading.
Other Information on Investing in RAYTHEON Bond
RAYTHEON financial ratios help investors to determine whether RAYTHEON 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 RAYTHEON with respect to the benefits of owning RAYTHEON security.