ZIMMER BIOMET HLDGS Chance of Future Bond Price Finishing Under 86.89
| 98956PAG7 | 86.89 0.00 0.00% |
ZIMMER |
ZIMMER Target Price Odds to finish below 86.89
The tendency of ZIMMER 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 below current price in 90 days |
| 86.89 | 90 days | 86.89 | roughly 2.15 |
Based on a normal probability distribution, the odds of ZIMMER to move below current price in 90 days from now is roughly 2.15 (This ZIMMER BIOMET HLDGS probability density function shows the probability of ZIMMER Bond to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon ZIMMER BIOMET HLDGS has a beta of -0.1. This usually implies as returns on the benchmark increase, returns on holding ZIMMER are expected to decrease at a much lower rate. During a bear market, however, ZIMMER BIOMET HLDGS is likely to outperform the market. Additionally ZIMMER BIOMET HLDGS 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. ZIMMER Price Density |
| Price |
Predictive Modules for ZIMMER
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ZIMMER BIOMET HLDGS. 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.ZIMMER Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ZIMMER is not an exception. The market had few large corrections towards the ZIMMER'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 ZIMMER BIOMET HLDGS, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ZIMMER within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.12 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 2.29 | |
Ir | Information ratio | -0.09 |
ZIMMER Technical Analysis
ZIMMER's future price can be derived by breaking down and analyzing its technical indicators over time. ZIMMER Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ZIMMER BIOMET HLDGS. In general, you should focus on analyzing ZIMMER Bond price patterns and their correlations with different microeconomic environments and drivers.
ZIMMER Predictive Forecast Models
ZIMMER's time-series forecasting models is one of many ZIMMER'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 ZIMMER'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 ZIMMER 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, ZIMMER's short interest history, or implied volatility extrapolated from ZIMMER options trading.
Other Information on Investing in ZIMMER Bond
ZIMMER financial ratios help investors to determine whether ZIMMER 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 ZIMMER with respect to the benefits of owning ZIMMER security.