Emerging Economies Fund Probability of Future Mutual Fund Price Finishing Under 4.25

VCGEX Fund  USD 6.57  0.05  0.76%   
Emerging Economies' future price is the expected price of Emerging Economies 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 Emerging Economies Fund performance during a given time horizon utilizing its historical volatility. Check out Emerging Economies Backtesting, Portfolio Optimization, Emerging Economies Correlation, Emerging Economies Hype Analysis, Emerging Economies Volatility, Emerging Economies History as well as Emerging Economies Performance.
  
Please specify Emerging Economies' target price for which you would like Emerging Economies odds to be computed.

Emerging Economies Target Price Odds to finish below 4.25

The tendency of Emerging 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 $ 4.25  or more in 90 days
 6.57 90 days 4.25 
near 1
Based on a normal probability distribution, the odds of Emerging Economies to drop to $ 4.25  or more in 90 days from now is near 1 (This Emerging Economies Fund probability density function shows the probability of Emerging Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Emerging Economies price to stay between $ 4.25  and its current price of $6.57 at the end of the 90-day period is about 40.07 .
Assuming the 90 days horizon Emerging Economies has a beta of 0.28. This entails as returns on the market go up, Emerging Economies average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Emerging Economies Fund will be expected to be much smaller as well. Additionally Emerging Economies Fund has an alpha of 0.0326, implying that it can generate a 0.0326 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Emerging Economies Price Density   
       Price  

Predictive Modules for Emerging Economies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Emerging Economies. 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 Emerging Economies' 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
5.686.577.46
Details
Intrinsic
Valuation
LowRealHigh
5.716.607.49
Details
Naive
Forecast
LowNextHigh
5.836.727.60
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
6.356.486.62
Details

Emerging Economies Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Emerging Economies is not an exception. The market had few large corrections towards the Emerging Economies' 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 Emerging Economies Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Emerging Economies within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.03
β
Beta against Dow Jones0.28
σ
Overall volatility
0.20
Ir
Information ratio -0.06

Emerging Economies 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 Emerging Economies for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Emerging Economies 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 generated three year return of -1.0%
Emerging Economies keeps 98.89% of its net assets in stocks

Emerging Economies Technical Analysis

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

Emerging Economies Predictive Forecast Models

Emerging Economies' time-series forecasting models is one of many Emerging Economies' 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 Emerging Economies' 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 Emerging Economies

Checking the ongoing alerts about Emerging Economies for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Emerging Economies help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund generated three year return of -1.0%
Emerging Economies keeps 98.89% of its net assets in stocks

Other Information on Investing in Emerging Mutual Fund

Emerging Economies financial ratios help investors to determine whether Emerging 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 Emerging with respect to the benefits of owning Emerging Economies security.
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account