AUTOMATIC DATA PROCESSING Probability of Future Bond Price Finishing Under 83.58
| 053015AF0 | 79.35 4.63 5.51% |
AUTOMATIC |
AUTOMATIC Target Price Odds to finish below 83.58
The tendency of AUTOMATIC 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 under 83.58 after 90 days |
| 79.35 | 90 days | 83.58 | about 36.52 |
Based on a normal probability distribution, the odds of AUTOMATIC to stay under 83.58 after 90 days from now is about 36.52 (This AUTOMATIC DATA PROCESSING probability density function shows the probability of AUTOMATIC Bond to fall within a particular range of prices over 90 days) . Probability of AUTOMATIC DATA PROCESSING price to stay between its current price of 79.35 and 83.58 at the end of the 90-day period is about 36.74 .
Assuming the 90 days trading horizon AUTOMATIC has a beta of 0.12. This usually implies as returns on the market go up, AUTOMATIC average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding AUTOMATIC DATA PROCESSING will be expected to be much smaller as well. Additionally AUTOMATIC DATA PROCESSING has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. AUTOMATIC Price Density |
| Price |
Predictive Modules for AUTOMATIC
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AUTOMATIC DATA PROCESSING. 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.AUTOMATIC Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. AUTOMATIC is not an exception. The market had few large corrections towards the AUTOMATIC'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 AUTOMATIC DATA PROCESSING, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of AUTOMATIC within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.13 | |
β | Beta against Dow Jones | 0.12 | |
σ | Overall volatility | 1.72 | |
Ir | Information ratio | -0.2 |
AUTOMATIC 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 AUTOMATIC for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for AUTOMATIC DATA PROCESSING can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| AUTOMATIC generated a negative expected return over the last 90 days |
AUTOMATIC Technical Analysis
AUTOMATIC's future price can be derived by breaking down and analyzing its technical indicators over time. AUTOMATIC Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of AUTOMATIC DATA PROCESSING. In general, you should focus on analyzing AUTOMATIC Bond price patterns and their correlations with different microeconomic environments and drivers.
AUTOMATIC Predictive Forecast Models
AUTOMATIC's time-series forecasting models is one of many AUTOMATIC'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 AUTOMATIC'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 AUTOMATIC DATA PROCESSING
Checking the ongoing alerts about AUTOMATIC for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for AUTOMATIC DATA PROCESSING help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| AUTOMATIC generated a negative expected return over the last 90 days |
Other Information on Investing in AUTOMATIC Bond
AUTOMATIC financial ratios help investors to determine whether AUTOMATIC 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 AUTOMATIC with respect to the benefits of owning AUTOMATIC security.