EMERGING Mutual Fund Probability of Future Mutual Fund Price Finishing Over 10.67

AMKIX Fund  USD 10.67  0.15  1.39%   
EMERGING MARKETS's future price is the expected price of EMERGING MARKETS 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 MARKETS FUND performance during a given time horizon utilizing its historical volatility.
  
Please continue to EMERGING MARKETS Backtesting, Portfolio Optimization, EMERGING MARKETS Correlation, EMERGING MARKETS Hype Analysis, EMERGING MARKETS Volatility, EMERGING MARKETS History as well as EMERGING MARKETS Performance. Please specify EMERGING MARKETS time horizon, a valid symbol (red box) and a target price (blue box) you would like EMERGING MARKETS odds to be computed.

EMERGING MARKETS Target Price Odds to finish over 10.67

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 move above the current price in 90 days
 10.67 90 days 10.67 
about 13.9
Based on a normal probability distribution, the odds of EMERGING MARKETS to move above the current price in 90 days from now is about 13.9 (This EMERGING MARKETS FUND probability density function shows the probability of EMERGING Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon EMERGING MARKETS has a beta of 0.7. This suggests as returns on the market go up, EMERGING MARKETS average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding EMERGING MARKETS FUND will be expected to be much smaller as well. Additionally The company has an alpha of 0.2109, implying that it can generate a 0.21 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   EMERGING MARKETS Price Density   
       Price  

Predictive Modules for EMERGING MARKETS

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 MARKETS FUND. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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, frequently view the market will even out over time. This tendency of EMERGING MARKETS'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. Please use the tools below to analyze the current value of EMERGING MARKETS in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
9.3910.6711.95
Details
Intrinsic
Valuation
LowReal ValueHigh
10.2011.4812.76
Details
Naive
Forecast
LowNext ValueHigh
9.0610.3311.61
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.5010.4311.36
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as EMERGING MARKETS. Your research has to be compared to or analyzed against EMERGING MARKETS's peers to derive any actionable benefits. When done correctly, EMERGING MARKETS's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in EMERGING MARKETS FUND.

EMERGING MARKETS Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. EMERGING MARKETS is not an exception. The market had few large corrections towards the EMERGING MARKETS'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 EMERGING MARKETS FUND, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of EMERGING MARKETS within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.21
β
Beta against NYSE Composite0.70
σ
Overall volatility
0.59
Ir
Information ratio 0.13

EMERGING MARKETS Technical Analysis

EMERGING MARKETS's 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 MARKETS FUND. In general, you should focus on analyzing EMERGING Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

EMERGING MARKETS Predictive Forecast Models

EMERGING MARKETS time-series forecasting models is one of many EMERGING MARKETS's mutual fund analysis techniquest aimed to predict future share value based on previously observed values. Time-series forecasting models ae 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. These non-stationary EMERGING MARKETS'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 EMERGING MARKETS 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, EMERGING MARKETS's short interest history, or implied volatility extrapolated from EMERGING MARKETS options trading.
Please continue to EMERGING MARKETS Backtesting, Portfolio Optimization, EMERGING MARKETS Correlation, EMERGING MARKETS Hype Analysis, EMERGING MARKETS Volatility, EMERGING MARKETS History as well as EMERGING MARKETS Performance. You can also try Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

Complementary Tools for analysis

When running EMERGING MARKETS FUND price analysis, check to measure EMERGING MARKETS's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy EMERGING MARKETS is operating at the current time. Most of EMERGING MARKETS's value examination focuses on studying past and present price action to predict the probability of EMERGING MARKETS's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move EMERGING MARKETS's price. Additionally, you may evaluate how the addition of EMERGING MARKETS to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between EMERGING MARKETS's value and its price as these two are different measures arrived at by different means. Investors typically determine EMERGING MARKETS value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EMERGING MARKETS's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.