Columbia Emerging Markets Fund Probability of Future Mutual Fund Price Finishing Under 11.3

CEKYX Fund  USD 13.51  0.07  0.52%   
Columbia Emerging's future price is the expected price of Columbia Emerging instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Columbia Emerging Markets performance during a given time horizon utilizing its historical volatility. Check out Columbia Emerging Backtesting, Portfolio Optimization, Columbia Emerging Correlation, Columbia Emerging Hype Analysis, Columbia Emerging Volatility, Columbia Emerging History as well as Columbia Emerging Performance.
  
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Columbia Emerging Target Price Odds to finish below 11.3

The tendency of Columbia 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 PriceHorizonTarget PriceOdds to drop to $ 11.30  or more in 90 days
 13.51 90 days 11.30 
near 1
Based on a normal probability distribution, the odds of Columbia Emerging to drop to $ 11.30  or more in 90 days from now is near 1 (This Columbia Emerging Markets probability density function shows the probability of Columbia Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Columbia Emerging Markets price to stay between $ 11.30  and its current price of $13.51 at the end of the 90-day period is about 10.4 .
Assuming the 90 days horizon Columbia Emerging has a beta of 0.51 suggesting as returns on the market go up, Columbia Emerging average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Columbia Emerging Markets will be expected to be much smaller as well. Additionally Columbia Emerging Markets has an alpha of 0.0042, implying that it can generate a 0.004215 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Columbia Emerging Price Density   
       Price  

Predictive Modules for Columbia Emerging

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Columbia Emerging Markets. 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 Columbia Emerging'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.
Hype
Prediction
LowEstimatedHigh
12.5913.6614.73
Details
Intrinsic
Valuation
LowRealHigh
12.5213.5914.66
Details
Naive
Forecast
LowNextHigh
12.2213.2914.36
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.3113.7214.13
Details

Columbia Emerging Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Columbia Emerging is not an exception. The market had few large corrections towards the Columbia Emerging'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 Columbia Emerging Markets, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Columbia Emerging within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0
β
Beta against Dow Jones0.51
σ
Overall volatility
0.31
Ir
Information ratio -0.0068

Columbia Emerging 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 Columbia Emerging for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Columbia Emerging Markets can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Columbia Emerging generated a negative expected return over the last 90 days
The fund generated three year return of -7.0%
Columbia Emerging Markets holds 98.96% of its assets under management (AUM) in equities

Columbia Emerging Technical Analysis

Columbia Emerging's future price can be derived by breaking down and analyzing its technical indicators over time. Columbia Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Columbia Emerging Markets. In general, you should focus on analyzing Columbia Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Columbia Emerging Predictive Forecast Models

Columbia Emerging's time-series forecasting models is one of many Columbia Emerging'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 Columbia Emerging'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 Columbia Emerging Markets

Checking the ongoing alerts about Columbia Emerging for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Columbia Emerging Markets help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Columbia Emerging generated a negative expected return over the last 90 days
The fund generated three year return of -7.0%
Columbia Emerging Markets holds 98.96% of its assets under management (AUM) in equities

Other Information on Investing in Columbia Mutual Fund

Columbia Emerging financial ratios help investors to determine whether Columbia 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 Columbia with respect to the benefits of owning Columbia Emerging security.
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