WALMART INC 395 Odds of Future Bond Price Finishing Over 101.2
| 931142EB5 | 101.20 11.65 13.01% |
WALMART |
WALMART Target Price Odds to finish over 101.2
The tendency of WALMART 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 above the current price in 90 days |
| 101.20 | 90 days | 101.20 | near 1 |
Based on a normal probability distribution, the odds of WALMART to move above the current price in 90 days from now is near 1 (This WALMART INC 395 probability density function shows the probability of WALMART Bond to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon WALMART has a beta of 0.88. This usually implies WALMART INC 395 market returns are sensitive to returns on the market. As the market goes up or down, WALMART is expected to follow. Additionally WALMART INC 395 has an alpha of 0.1033, implying that it can generate a 0.1 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). WALMART Price Density |
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Predictive Modules for WALMART
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as WALMART INC 5. 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 WALMART'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.
WALMART Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. WALMART is not an exception. The market had few large corrections towards the WALMART'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 WALMART INC 395, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of WALMART within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.10 | |
β | Beta against NYSE Composite | 0.88 | |
σ | Overall volatility | 2.10 | |
Ir | Information ratio | 0.05 |
WALMART Technical Analysis
WALMART's future price can be derived by breaking down and analyzing its technical indicators over time. WALMART Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of WALMART INC 395. In general, you should focus on analyzing WALMART Bond price patterns and their correlations with different microeconomic environments and drivers.
WALMART Predictive Forecast Models
WALMART's time-series forecasting models is one of many WALMART'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 WALMART'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 WALMART 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, WALMART's short interest history, or implied volatility extrapolated from WALMART options trading.
Check out WALMART Backtesting, Portfolio Optimization, WALMART Correlation, WALMART Hype Analysis, WALMART Volatility, WALMART History as well as WALMART Performance. For information on how to trade WALMART Bond refer to our How to Trade WALMART Bond guide.You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.