Kcm Macro Trends Fund Probability of Future Mutual Fund Price Finishing Under 11.36
| KCMIX Fund | USD 11.37 0.00 0.00% |
Kcm |
Kcm Macro Target Price Odds to finish below 11.36
The tendency of Kcm 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 drop to $ 11.36 or more in 90 days |
| 11.37 | 90 days | 11.36 | about 25.3 |
Based on a normal probability distribution, the odds of Kcm Macro to drop to $ 11.36 or more in 90 days from now is about 25.3 (This Kcm Macro Trends probability density function shows the probability of Kcm Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Kcm Macro Trends price to stay between $ 11.36 and its current price of $11.37 at the end of the 90-day period is about 1.64 .
Assuming the 90 days horizon Kcm Macro Trends has a beta of -0.0876. This indicates as returns on the benchmark increase, returns on holding Kcm Macro are expected to decrease at a much lower rate. During a bear market, however, Kcm Macro Trends is likely to outperform the market. Additionally Kcm Macro Trends has an alpha of 0.0268, implying that it can generate a 0.0268 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Kcm Macro Price Density |
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Predictive Modules for Kcm Macro
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kcm Macro Trends. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kcm Macro'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.
Kcm Macro Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Kcm Macro is not an exception. The market had few large corrections towards the Kcm Macro'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 Kcm Macro Trends, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kcm Macro within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.03 | |
β | Beta against NYSE Composite | -0.09 | |
σ | Overall volatility | 0.20 | |
Ir | Information ratio | -0.05 |
Kcm Macro Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Kcm Macro for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Kcm Macro Trends can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| The fund maintains about 69.11% of its assets in cash |
Kcm Macro Technical Analysis
Kcm Macro's future price can be derived by breaking down and analyzing its technical indicators over time. Kcm Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kcm Macro Trends. In general, you should focus on analyzing Kcm Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Kcm Macro Predictive Forecast Models
Kcm Macro's time-series forecasting models is one of many Kcm Macro'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 Kcm Macro'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.
Things to note about Kcm Macro Trends
Checking the ongoing alerts about Kcm Macro for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Kcm Macro Trends help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund maintains about 69.11% of its assets in cash |
Check out Kcm Macro Backtesting, Portfolio Optimization, Kcm Macro Correlation, Kcm Macro Hype Analysis, Kcm Macro Volatility, Kcm Macro History as well as Kcm Macro Performance. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.