Kayne Anderson Mlp Fund Probability of Future Mutual Fund Price Finishing Under 14.84
| XKYNX Fund | USD 14.78 0.08 0.54% |
Kayne |
Kayne Anderson Target Price Odds to finish below 14.84
The tendency of Kayne Mutual Fund 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 $ 14.84 after 90 days |
| 14.78 | 90 days | 14.84 | about 99.0 |
Based on a normal probability distribution, the odds of Kayne Anderson to stay under $ 14.84 after 90 days from now is about 99.0 (This Kayne Anderson Mlp probability density function shows the probability of Kayne Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Kayne Anderson Mlp price to stay between its current price of $ 14.78 and $ 14.84 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Kayne Anderson has a beta of 0.32. This entails as returns on the market go up, Kayne Anderson average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Kayne Anderson Mlp will be expected to be much smaller as well. Additionally Kayne Anderson Mlp has an alpha of 0.228, implying that it can generate a 0.23 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Kayne Anderson Price Density |
| Price |
Predictive Modules for Kayne Anderson
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kayne Anderson Mlp. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.Kayne Anderson Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Kayne Anderson is not an exception. The market had few large corrections towards the Kayne Anderson'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 Kayne Anderson Mlp, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kayne Anderson within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.23 | |
β | Beta against Dow Jones | 0.32 | |
σ | Overall volatility | 0.75 | |
Ir | Information ratio | 0.14 |
Kayne Anderson Technical Analysis
Kayne Anderson's future price can be derived by breaking down and analyzing its technical indicators over time. Kayne Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kayne Anderson Mlp. In general, you should focus on analyzing Kayne Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Kayne Anderson Predictive Forecast Models
Kayne Anderson's time-series forecasting models is one of many Kayne Anderson's mutual fund 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 Kayne Anderson'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 mutual fund 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 Kayne Anderson 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, Kayne Anderson's short interest history, or implied volatility extrapolated from Kayne Anderson options trading.
Other Information on Investing in Kayne Mutual Fund
Kayne Anderson financial ratios help investors to determine whether Kayne Mutual Fund 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 Kayne with respect to the benefits of owning Kayne Anderson security.
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