JOHNSON JOHNSON 595 Odds of Future Bond Price Finishing Over 114.31
| 478160AN4 | 113.90 4.69 4.29% |
JOHNSON |
JOHNSON Target Price Odds to finish over 114.31
The tendency of JOHNSON 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 move over 114.31 or more in 90 days |
| 113.90 | 90 days | 114.31 | about 32.2 |
Based on a normal probability distribution, the odds of JOHNSON to move over 114.31 or more in 90 days from now is about 32.2 (This JOHNSON JOHNSON 595 probability density function shows the probability of JOHNSON Bond to fall within a particular range of prices over 90 days) . Probability of JOHNSON JOHNSON 595 price to stay between its current price of 113.90 and 114.31 at the end of the 90-day period is nearly 4.99 .
Assuming the 90 days trading horizon JOHNSON JOHNSON 595 has a beta of -0.14. This usually implies as returns on the benchmark increase, returns on holding JOHNSON are expected to decrease at a much lower rate. During a bear market, however, JOHNSON JOHNSON 595 is likely to outperform the market. Additionally JOHNSON JOHNSON 595 has an alpha of 0.0338, implying that it can generate a 0.0338 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). JOHNSON Price Density |
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Predictive Modules for JOHNSON
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JOHNSON JOHNSON 595. 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.JOHNSON Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. JOHNSON is not an exception. The market had few large corrections towards the JOHNSON'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 JOHNSON JOHNSON 595, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of JOHNSON within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.14 | |
σ | Overall volatility | 3.03 | |
Ir | Information ratio | -0.04 |
JOHNSON Technical Analysis
JOHNSON's future price can be derived by breaking down and analyzing its technical indicators over time. JOHNSON Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of JOHNSON JOHNSON 595. In general, you should focus on analyzing JOHNSON Bond price patterns and their correlations with different microeconomic environments and drivers.
JOHNSON Predictive Forecast Models
JOHNSON's time-series forecasting models is one of many JOHNSON'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 JOHNSON'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 JOHNSON 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, JOHNSON's short interest history, or implied volatility extrapolated from JOHNSON options trading.
Other Information on Investing in JOHNSON Bond
JOHNSON financial ratios help investors to determine whether JOHNSON 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 JOHNSON with respect to the benefits of owning JOHNSON security.