TARGET P 7 Chance of Future Bond Price Finishing Under 116.68
| 87612EAF3 | 112.22 0.00 0.00% |
TARGET |
TARGET Target Price Odds to finish below 116.68
The tendency of TARGET 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 116.68 after 90 days |
| 112.22 | 90 days | 116.68 | about 92.24 |
Based on a normal probability distribution, the odds of TARGET to stay under 116.68 after 90 days from now is about 92.24 (This TARGET P 7 probability density function shows the probability of TARGET Bond to fall within a particular range of prices over 90 days) . Probability of TARGET P 7 price to stay between its current price of 112.22 and 116.68 at the end of the 90-day period is about 47.24 .
Assuming the 90 days trading horizon TARGET has a beta of 0.0612. This usually implies as returns on the market go up, TARGET average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding TARGET P 7 will be expected to be much smaller as well. Additionally TARGET P 7 has an alpha of 0.0039, implying that it can generate a 0.003891 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). TARGET Price Density |
| Price |
Predictive Modules for TARGET
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TARGET P 7. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of TARGET's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
TARGET Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. TARGET is not an exception. The market had few large corrections towards the TARGET'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 TARGET P 7, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of TARGET within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0 | |
β | Beta against NYSE Composite | 0.06 | |
σ | Overall volatility | 2.87 | |
Ir | Information ratio | -0.05 |
TARGET Technical Analysis
TARGET's future price can be derived by breaking down and analyzing its technical indicators over time. TARGET Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of TARGET P 7. In general, you should focus on analyzing TARGET Bond price patterns and their correlations with different microeconomic environments and drivers.
TARGET Predictive Forecast Models
TARGET's time-series forecasting models is one of many TARGET'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 TARGET'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 TARGET 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, TARGET's short interest history, or implied volatility extrapolated from TARGET options trading.
Check out TARGET Backtesting, Portfolio Optimization, TARGET Correlation, TARGET Hype Analysis, TARGET Volatility, TARGET History as well as TARGET Performance. For information on how to trade TARGET Bond refer to our How to Trade TARGET Bond guide.Note that the TARGET P 7 information on this page should be used as a complementary analysis to other TARGET's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.