Calumet Specialty Products Odds of Future Bond Price Finishing Over 103.27
| 131477AT8 | 103.27 0.00 0.00% |
Calumet |
Calumet Target Price Odds to finish over 103.27
The tendency of Calumet 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 |
| 103.27 | 90 days | 103.27 | near 1 |
Based on a normal probability distribution, the odds of Calumet to move above the current price in 90 days from now is near 1 (This Calumet Specialty Products probability density function shows the probability of Calumet Bond to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Calumet has a beta of 0.0753. This usually implies as returns on the market go up, Calumet average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Calumet Specialty Products will be expected to be much smaller as well. Additionally Calumet Specialty Products has an alpha of 0.0295, implying that it can generate a 0.0295 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Calumet Price Density |
| Price |
Predictive Modules for Calumet
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Calumet Specialty. 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.Calumet Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Calumet is not an exception. The market had few large corrections towards the Calumet'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 Calumet Specialty Products, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Calumet within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 0.81 | |
Ir | Information ratio | -0.13 |
Calumet Technical Analysis
Calumet's future price can be derived by breaking down and analyzing its technical indicators over time. Calumet Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Calumet Specialty Products. In general, you should focus on analyzing Calumet Bond price patterns and their correlations with different microeconomic environments and drivers.
Calumet Predictive Forecast Models
Calumet's time-series forecasting models is one of many Calumet'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 Calumet'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 Calumet 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, Calumet's short interest history, or implied volatility extrapolated from Calumet options trading.
Other Information on Investing in Calumet Bond
Calumet financial ratios help investors to determine whether Calumet 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 Calumet with respect to the benefits of owning Calumet security.