Martin Currie Emerging Fund Probability of Future Mutual Fund Price Finishing Over 12.10
| MCEMX Fund | USD 12.10 0.12 1.00% |
Martin |
Martin Currie Target Price Odds to finish over 12.10
The tendency of Martin 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 move above the current price in 90 days |
| 12.10 | 90 days | 12.10 | about 57.93 |
Based on a normal probability distribution, the odds of Martin Currie to move above the current price in 90 days from now is about 57.93 (This Martin Currie Emerging probability density function shows the probability of Martin Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Martin Currie has a beta of 0.8. This indicates as returns on the market go up, Martin Currie average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Martin Currie Emerging will be expected to be much smaller as well. Additionally Martin Currie Emerging has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. Martin Currie Price Density |
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Predictive Modules for Martin Currie
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Martin Currie Emerging. 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 Martin Currie'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.
Martin Currie Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Martin Currie is not an exception. The market had few large corrections towards the Martin Currie'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 Martin Currie Emerging, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Martin Currie within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.02 | |
β | Beta against NYSE Composite | 0.80 | |
σ | Overall volatility | 0.30 | |
Ir | Information ratio | -0.04 |
Martin Currie 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 Martin Currie for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Martin Currie Emerging can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Martin Currie Emerging generated five year return of 0.0% | |
| This fund maintains 99.73% of its assets in stocks |
Martin Currie Technical Analysis
Martin Currie's future price can be derived by breaking down and analyzing its technical indicators over time. Martin Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Martin Currie Emerging. In general, you should focus on analyzing Martin Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Martin Currie Predictive Forecast Models
Martin Currie's time-series forecasting models is one of many Martin Currie'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 Martin Currie'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 Martin Currie Emerging
Checking the ongoing alerts about Martin Currie for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Martin Currie Emerging help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Martin Currie Emerging generated five year return of 0.0% | |
| This fund maintains 99.73% of its assets in stocks |
Check out Martin Currie Backtesting, Portfolio Optimization, Martin Currie Correlation, Martin Currie Hype Analysis, Martin Currie Volatility, Martin Currie History as well as Martin Currie Performance. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.