EMR 28 21 DEC 51 Probability of Future Bond Price Finishing Under 62.11
| 291011BS2 | 60.14 6.61 9.90% |
291011BS2 |
291011BS2 Target Price Odds to finish below 62.11
The tendency of 291011BS2 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 62.11 after 90 days |
| 60.14 | 90 days | 62.11 | about 5.74 |
Based on a normal probability distribution, the odds of 291011BS2 to stay under 62.11 after 90 days from now is about 5.74 (This EMR 28 21 DEC 51 probability density function shows the probability of 291011BS2 Bond to fall within a particular range of prices over 90 days) . Probability of EMR 28 21 price to stay between its current price of 60.14 and 62.11 at the end of the 90-day period is nearly 4.84 .
Assuming the 90 days trading horizon EMR 28 21 DEC 51 has a beta of -0.51. This usually implies as returns on the benchmark increase, returns on holding 291011BS2 are expected to decrease at a much lower rate. During a bear market, however, EMR 28 21 DEC 51 is likely to outperform the market. Additionally EMR 28 21 DEC 51 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. 291011BS2 Price Density |
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Predictive Modules for 291011BS2
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EMR 28 21. 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.291011BS2 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. 291011BS2 is not an exception. The market had few large corrections towards the 291011BS2'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 EMR 28 21 DEC 51, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of 291011BS2 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.02 | |
β | Beta against Dow Jones | -0.51 | |
σ | Overall volatility | 2.58 | |
Ir | Information ratio | -0.07 |
291011BS2 Technical Analysis
291011BS2's future price can be derived by breaking down and analyzing its technical indicators over time. 291011BS2 Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of EMR 28 21 DEC 51. In general, you should focus on analyzing 291011BS2 Bond price patterns and their correlations with different microeconomic environments and drivers.
291011BS2 Predictive Forecast Models
291011BS2's time-series forecasting models is one of many 291011BS2'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 291011BS2'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 291011BS2 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, 291011BS2's short interest history, or implied volatility extrapolated from 291011BS2 options trading.
Other Information on Investing in 291011BS2 Bond
291011BS2 financial ratios help investors to determine whether 291011BS2 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 291011BS2 with respect to the benefits of owning 291011BS2 security.